Representative road traffic flow information based on historical data

• US 7,908,076 B2
• Filed: 08/07/2007
• Issued: 03/15/2011
• Est. Priority Date: 08/18/2006
• Status: Active Grant

• Current Assignee: Inrix Incorporated
• Original Assignee: Inrix Incorporated
• Inventors: Downs, Oliver B., Hersch, Jesse S., Chapman, Craig H.
• Primary Examiner(s): Tran; Khoi
• Assistant Examiner(s): Amin; Bhavesh V
• Application Number:
  US11/835,357
• Publication Number:
  US 20080071466A1
• Time in Patent Office: 1,316 Days
• Field of Search: 701/117, 701/118, 701/119, 342/457, 342/357.1, 455/456.1, 340/995.13, 340/992, 340/994
• US Class Current: 701/117
• CPC Class Codes: G08G 1/0104 Measuring and analyzing of parameters relative to traffic conditions

Abstract

Techniques are described for automatically analyzing historical information about road traffic flow in order to generate representative information regarding current or future road traffic flow, and for using such generated representative traffic flow information. Representative traffic flow information may be generated for a variety of types of useful measures of traffic flow, such as for average speed at each of multiple road locations during each of multiple time periods. Generated representative traffic flow information may be used in various ways to assist in travel and for other purposes, such as to determine likely travel times and plan optimal routes. The historical traffic data used to generate the representative traffic flow information may include data readings from physical sensors that are near or embedded in the roads, and/or data samples from vehicles and other mobile data sources traveling on the roads.

Claims

1. A computer-implemented method for generating representative traffic flow information for roads to facilitate future travel, the method comprising:

receiving an indication of a location on a road in a geographic area;

selecting multiple time-based categories for which representative traffic flow information will be distinctly generated for the road location, the multiple time-based categories each corresponding to one or more time periods based on day-of-week and time-of-day information;

selecting multiple other condition-based categories for which representative traffic flow information will be distinctly generated for the road location, the multiple condition-based categories each corresponding to at least one of multiple traffic-altering conditions that affect traffic in the geographic area;

obtaining one or more prior traffic flow values for the road location at each of multiple distinct prior times, at least some of the prior traffic flow values corresponding to one or more of the multiple traffic-altering conditions;

automatically generating representative traffic flow information for the road location, the automatic generating being performed by one or more configured computing systems and including;

for each of the at least some prior traffic flow values, associating the prior traffic flow value with at least one of the time-based categories and at least one of the condition-based categories, the at least one time-based categories being determined by matching the prior time to time periods to which the time-based categories correspond, and the at least one condition-based categories being determined by matching the one or more traffic-altering conditions to which the prior traffic flow value corresponds to traffic-altering conditions to which the condition-based categories correspond; and

for each of one or more traffic flow aggregation classifications that each includes at least one of the time-based and condition-based categories, generating representative traffic flow information for traffic at the road location corresponding to the traffic flow aggregation classification, the generating of the representative traffic flow information being based at least in part on aggregating the prior traffic flow values associated with the at least one time-based and condition-based categories of the traffic flow aggregation classification and on determining one or more typical traffic flow values based on the aggregated prior traffic flow values, the generating of the representative traffic flow information for the road location and the traffic flow aggregation classification including using the aggregated prior traffic flow values only if the prior times at which the aggregated prior traffic flow values were obtained are automatically determined to include sufficient temporal diversity, the generating of the representative traffic flow information for the road location and the traffic flow aggregation classification further including, if the prior times at which the aggregated prior traffic flow values were obtained for the road location and the traffic flow aggregation classification are not determined to include sufficient temporal diversity, generating the representative traffic flow information for the road location and the traffic flow aggregation classification based at least in part on an expanded group of traffic flow values that corresponds to one or more other related road locations proximate to the road location; and

providing one or more indications of the generated representative traffic flow information for the road location for use in facilitating travel on the road at future times.

2. The method of claim 1 further comprising, after the automatic generating of the representative traffic flow information for the road location, determining likely traffic flow for the road location at an indicated future time by:

determining one of the time-based categories associated with the indicated future time;

determining one of the condition-based categories related to traffic on the road location at the indicated future time;

retrieving generated representative traffic flow information for the road location and for an aggregation classification that includes the determined one time-based category and the determined one condition-based category; and

providing the retrieved representative traffic flow information to indicate the determined likely traffic flow for the road location at the indicated future time.

3. The method of claim 1 further comprising, at a time after the automatic generating of the representative traffic flow information for the road location, determining likely current traffic flow for the road location by:

determining a current time and a current traffic-altering condition that affects traffic in the geographic area at the current time;

selecting an aggregation classification that includes one of the time-based categories to which the determined current time corresponds and one of the condition-based categories to which the determined current traffic-altering condition corresponds;

retrieving the generated representative traffic flow information for the road location that corresponds to the selected aggregation classification; and

providing the retrieved representative traffic flow information to indicate the determined likely traffic flow for the road location at the current time.

4. The method of claim 1 wherein each of the time-based categories corresponds to one or more days-of-week and to one or more time-of-day periods on the one of more days-of-week, such that the associating of a prior traffic flow value for a prior time at the road location includes associating that prior traffic flow value with one of the time-based categories based at least in part on the prior time being on a day-of-week and during a time-of-day period that matches the corresponding days-of-week and time-of-day periods for that one time-based category.

5. The method of claim 4 wherein each of the time-based categories corresponds to one day-of-week and to one hour-long time-of-day period on the one day-of-week, such that 168 time-based categories are used to represent the 24 one-hour-long time-of-day periods for the 7 day-of-week days.

6. The method of claim 4 wherein the time-based categories each correspond to one of multiple time-of-day periods whose starting times differ by at most 5 minutes, such that at least 288 time-based categories are used to represent times during a day.

7. The method of claim 4 further comprising, before selecting the multiple time-based categories, receiving a request that specifies the one or more days-of-week and the one or more time-of-day periods on the one of more days-of-week for each of the multiple distinct time-based categories, and wherein the selecting of the multiple time-based categories includes defining the multiple time-based categories based on the request.

8. The method of claim 1 wherein at least some of the condition-based categories each corresponds to one of multiple seasons, such that the associating of a prior traffic flow value for a prior time at the road location includes associating that prior traffic flow value with one of the condition-based categories based at least in part on a season at that prior time matching a corresponding season for that one condition-based category.

9. The method of claim 8 further comprising, before selecting the multiple condition-based categories, receiving a request to specify multiple distinct seasons that each correspond to multiple days, and wherein the selecting of the multiple condition-based categories includes defining the seasons for the condition-based categories based on the request.

10. The method of claim 1 wherein each of the time-based categories further corresponds to one or more seasons, such that the associating of a prior traffic flow value for a prior time at the road location further includes associating that prior traffic flow value with one of the time-based categories based at least in part on a season at that prior time matching a corresponding season for that one time-based category.

11. The method of claim 1 wherein at least some of the condition-based categories each corresponds to one of multiple holiday-based conditions, such that the associating of a prior traffic flow value for a prior time at the road location includes associating that prior traffic flow value with one of the condition-based categories based at least in part on a match between a condition at the prior time related to an occurrence of a holiday and a corresponding holiday occurrence condition for that one condition-based category.

12. The method of claim 11 wherein the multiple holiday-based conditions include a first type corresponding to major holiday days observed by a substantial majority of people in the geographic area, a second type corresponding to minor holiday days observed by a substantial minority of people in the geographic area, a third type corresponding to proximate holiday days that are sufficiently close to a major holiday day that a substantial portion of people in the geographic area do not work on the proximate holiday days, and a fourth type corresponding to non-holiday days in the geographic area that are not any of a major holiday day, a minor holiday day, and a proximate holiday day in the geographic area.

13. The method of claim 11 wherein the multiple holiday-based conditions include a first holiday type during which road traffic in the geographic area increases relative to a non-holiday day in the geographic area, a second holiday type during which road traffic in the geographic area decreases relative to a non-holiday day in the geographic area, and a third type for non-holiday days.

14. The method of claim 11 further comprising, before selecting the multiple condition-based categories, receiving a request to specify days that correspond to each of the multiple holiday-based conditions, and wherein the selecting of the multiple condition-based categories includes defining the multiple holiday-based conditions for the condition-based categories based on the request.

15. The method of claim 1 wherein each of the time-based categories further corresponds to one or more holiday types or to a non-holiday, such that the associating of a prior traffic flow value for a prior time at the road location further includes associating that prior traffic flow value with one of the time-based categories based at least in part on a match between a non-holiday or a type of holiday at the prior time and a corresponding non-holiday or holiday type for that one time-based category.

16. The method of claim 1 wherein at least some of the condition-based categories each corresponds to one of multiple weather-based conditions, such that the associating of a prior traffic flow value for a prior time at the road location includes associating that prior traffic flow value with one of the condition-based categories based at least in part on weather at that prior time matching corresponding weather for that one condition-based category.

17. The method of claim 1 wherein at least some of the condition-based categories each corresponds to one of multiple conditions related to occurrences of non-periodic events, such that the associating of a prior traffic flow value for a prior time at the road location includes associating that prior traffic flow value with one of the condition-based categories based at least in part on a match between a condition at that prior time related to an occurrence of a non-periodic event and a corresponding non-periodic event occurrence condition for that one condition-based category.

18. The method of claim 1 wherein at least some of the condition-based categories each corresponds to one of multiple conditions related to occurrences of traffic accidents, such that the associating of a prior traffic flow value for a prior time at the road location includes associating that prior traffic flow value with one of the condition-based categories based at least in part on a match between a condition at that prior time related to an occurrence of a traffic accident and a corresponding traffic accident occurrence condition for that one condition-based category.

19. The method of claim 1 wherein at least some of the condition-based categories each corresponds to one of multiple conditions related to occurrences of road work, such that the associating of a prior traffic flow value for a prior time at the road location includes associating that prior traffic flow value with one of the condition-based categories based at least in part on a match between a condition at that prior time related to an occurrence of road work and a corresponding road work occurrence condition for that one condition-based category.

20. The method of claim 1 wherein at least some of the condition-based categories each corresponds to one of multiple conditions related to occurrences of school sessions, such that the associating of a prior traffic flow value for a prior time at the road location includes associating that prior traffic flow value with one of the condition-based categories based at least in part on a match between a condition at that prior time related to an occurrence of school sessions and a corresponding school session occurrence condition for that one condition-based category.

21. The method of claim 1 wherein the time-based categories and the condition-based categories are independent of each other such that the associating of a prior traffic flow value for a prior time at the road location includes associating that prior traffic flow value with one of the time-based categories and with one of the condition-based categories.

22. The method of claim 1 wherein the one or more configured computing systems include a server computing system remote from multiple client devices, wherein the indications of the generated representative traffic flow information for the road location are provided to the multiple client devices for local use by the client devices in facilitating travel on the road at future times, and wherein the method further comprises, after the providing of the indications of the generated representative traffic flow information for the road location and under control of one of the client devices:

for each of multiple future times, determining likely traffic flow at the future time for the road location by retrieving the provided generated representative traffic flow information for the road location from one or more local storage locations; and

for each of one or more other future times, determining at the future time likely traffic flow at the future time for the road location by dynamically interacting with the remote server computing system to obtain updated information regarding likely traffic flow at the future time for the road location.

23. The method of claim 22 wherein the providing of the indications of the generated representative traffic flow information for the road location to a client device includes storing the generated representative traffic flow information for the road location on one or more non-volatile storage devices that are accessible to the client device.

24. The method of claim 1 wherein the one or more configured computing systems include a server computing system remote from multiple client devices, wherein the indications of the generated representative traffic flow information for the road location are provided to the multiple client devices for local use by the client devices in facilitating travel on the road at future times, and wherein the method further comprises, at a time after the providing of the indications of the generated representative traffic flow information for the road location and under control of one of the client devices:

determining a current time and a current traffic-altering condition that affects traffic in the geographic area at the current time;

selecting an aggregation classification that includes one of the time-based categories to which the determined current time corresponds and one of the condition-based categories to which the determined current traffic-altering condition corresponds;

retrieving the generated representative traffic flow information for the road location that corresponds to the selected aggregation classification; and

providing the retrieved representative traffic flow information to indicate the determined likely traffic flow for the road location at the current time.

25. The method of claim 24 wherein the providing of the indications of the generated representative traffic flow information for the road location to a client device includes storing the generated representative traffic flow information for the road location on one or more non-volatile storage devices that are accessible to the client device.

26. The method of claim 24 wherein the determining of the current traffic-altering condition that affects traffic in the geographic area at the current time includes dynamically interacting with the remote server computing system to obtain an indication of the determined current traffic-altering condition.

27. The method of claim 1 wherein the generating of the representative traffic flow information for traffic at the road location for each of the one or more aggregation classifications includes generating one of more indications of reliability of at least one of the determined one or more typical traffic flow values.

28. The method of claim 27 wherein, for each of the one or more aggregation classifications, the aggregation classification has multiple associated prior traffic flow values for a traffic flow measurement for multiple prior times, the determined one or more typical traffic flow values for the traffic flow information for the aggregation classification indicating a most likely value for the traffic flow measurement for the aggregation classification, and the one or more indications of reliability are based at least in part on a statistical analysis of the multiple traffic flow measurement values for the multiple prior times.

29. The method of claim 27 wherein, for each of the one or more aggregation classifications, the aggregation classification has multiple associated prior traffic flow values for a traffic flow measurement for multiple prior times, the determined one or more typical traffic flow values for the traffic flow information for the aggregation classification indicating an average traffic flow measurement value that is based substantially on the 50^th percentile for the multiple prior traffic flow values, and the one or more indications of reliability including multiple traffic flow measurement values for the aggregation classification other than the average value that are based substantially on multiple other percentiles for the multiple prior traffic flow values.

30. The method of claim 29 further comprising, before the generating of the representative traffic flow information for traffic at the road location, receiving a request that specifies the multiple other percentiles, and wherein determining of the multiple traffic flow measurement values is based on the request.

31. The method of claim 27 wherein, for each of the one or more aggregation classifications, the aggregation classification has multiple associated prior traffic flow values for a traffic flow measurement for multiple prior times, the determined typical values for the traffic flow information for the aggregation classification indicating a median traffic flow measurement value based on the multiple prior traffic flow values, and the one or more indications of reliability including multiple deviation indications that each indicate a likelihood that an actual value for the traffic flow measurement for the road location at a future time that corresponds to the aggregation classification will deviate from a median traffic flow measurement value by at least a specified amount.

32. The method of claim 31 further comprising, before the generating of the representative traffic flow information for traffic at the road location for each of the one or more aggregation classifications, receiving a request that specifies at least one of one or more amounts of deviation from a median value and of one or more degrees of likelihood, and wherein the generating of the one of more indications of reliability is based on the request.

33. The method of claim 27 wherein the generated one or more indications of reliability of at least one of the determined typical values for an aggregation classification are for use by a client in determining a route that includes the road location and that is robust when traffic flow conditions vary from average traffic flow conditions.

34. The method of claim 27 wherein the generated one or more indications of reliability of at least one of the determined typical values for an aggregation classification are for use by a client in determining a route that includes the road location and that is a fastest route in an indicated situation in which traffic flow conditions differ from average traffic flow conditions.

35. The method of claim 1 further comprising:

receiving multiple requests that are each from a client regarding at least one indicated type of analysis of at least some of the prior traffic flow values for the road location; and

for each of the requests, after performing one or more analyses that correspond to the at least one indicated type of analysis for the request, providing information to the client for the request based on the one or more performed analyses.

36. The method of claim 1 wherein the generating of the representative traffic flow information for the road location is based at least in part on a request received from a client, the request indicating information on which the generating of the representative traffic flow information for the road location is based that includes at least one of the road location, one or more of the multiple prior times, one or more of the time periods to which one or more of the multiple time-based categories correspond, and one or more of the multiple variable traffic-altering conditions to which one or more of the multiple condition-based categories correspond, and wherein the providing of the one or more indications of the generated representative traffic flow information for the road location includes providing the generated representative traffic flow information for the road location to the client.

37. The method of claim 1 wherein automatic determining that the prior times for the aggregated prior traffic flow values include sufficient temporal diversity includes calculating a temporal statistical entropy of the aggregated prior traffic flow values and determining that the calculated temporal statistical entropy exceeds a minimum threshold.

40. The method of claim 1 wherein the road location includes at least one of a road link and a road segment.

41. The method of claim 1 wherein the automatic generating of the representative traffic flow information is performed for each of multiple locations on multiple roads that are part of a network of roads in the geographic area.

42. The method of claim 1 wherein the traffic flow values each correspond to speed of vehicle travel on the road location.

43. The method of claim 1 wherein the generated representative traffic flow information for the road location reflects predictions of future traffic flow values for the road location.

44. The method of claim 1 wherein the prior traffic flow values include traffic flow values generated by one or more road sensors for the road location and traffic flow values provided by one or more vehicles traveling on the road proximate to the road location.

38. A computer-implemented method for generating representative traffic flow information for roads to facilitate future travel, the method comprising:

receiving an indication of a location on a road in a geographic area;

selecting multiple time-based categories for which representative traffic flow information will be distinctly generated for the road location, the multiple time-based categories each corresponding to one or more time periods based on day-of-week and time-of-day information;

selecting multiple other condition-based categories for which representative traffic flow information will be distinctly generated for the road location, the multiple condition-based categories each corresponding to at least one of multiple traffic-altering conditions that affect traffic in the geographic area;

obtaining one or more prior traffic flow values for the road location at each of multiple distinct prior times, at least some of the prior traffic flow values corresponding to one or more of the multiple traffic-altering conditions;

automatically generating representative traffic flow information for the road location, the automatic generating being performed by one or more configured computing systems and including;

for each of the at least some prior traffic flow values, associating the prior traffic flow value with at least one of the time-based categories and at least one of the condition-based categories, the at least one time-based categories being determined by matching the prior time to time periods to which the time-based categories correspond, and the at least one condition-based categories being determined by matching the one or more traffic-altering conditions to which the prior traffic flow value corresponds to traffic-altering conditions to which the condition-based categories correspond; and

for each of one or more traffic flow aggregation classifications that each includes at least one of the time-based and condition-based categories, generating representative traffic flow information for traffic at the road location corresponding to the traffic flow aggregation classification, the generating of the representative traffic flow information being based at least in part on aggregating the prior traffic flow values associated with the at least one time-based and condition-based categories of the traffic flow aggregation classification and on determining one or more typical traffic flow values based on the aggregated prior traffic flow values, the generating of the representative traffic flow information for the road location and the traffic flow aggregation classification including using the aggregated prior traffic flow values only if the prior times at which the aggregated prior traffic flow values were obtained are automatically determined to include sufficient temporal diversity, the generating of the representative traffic flow information for the road location and the traffic flow aggregation classification further including, if the prior times at which the aggregated prior traffic flow values were obtained for the road location and the traffic flow aggregation classification are not determined to include sufficient temporal diversity, generating the representative traffic flow information for the road location and the traffic flow aggregation classification based at least in part on an expanded group of traffic flow values that corresponds to one or more other related traffic flow aggregation classifications that include one or more other time-based categories corresponding to one or more other time periods related to the one or more time periods to which the traffic flow aggregation classification corresponds; and

providing one or more indications of the generated representative traffic flow information for the road location for use in facilitating travel on the road at future times.

39. A computer-implemented method for generating representative traffic flow information for roads to facilitate future travel, the method comprising:

receiving an indication of a location on a road in a geographic area;

selecting multiple time-based categories for which representative traffic flow information will be distinctly generated for the road location, the multiple time-based categories each corresponding to one or more time periods based on day-of-week and time-of-day information;

selecting multiple other condition-based categories for which representative traffic flow information will he distinctly generated for the road location, the multiple condition-based categories each corresponding to at least one of multiple traffic-altering conditions that affect traffic in the geographic area;

obtaining one or more prior traffic flow values for the road location at each of multiple distinct prior times, at least some of the prior traffic flow values corresponding to one or more of the multiple traffic-altering conditions;

automatically generating representative traffic flow information for the road location, the automatic generating being performed by one or more configured computing systems and including;

for each of the at least some prior traffic flow values, associating the prior traffic flow value with at least one of the time-based categories and at least one of the condition-based categories, the at least one time-based categories being determined by matching the prior time to time periods to which the time-based categories correspond, and the at least one condition-based categories being determined by matching the one or more traffic-altering conditions to which the prior traffic flow value corresponds to traffic-altering conditions to which the condition-based categories correspond; and

for each of one or more traffic flow aggregation classifications that each includes at least one of the time-based and condition-based categories, generating representative traffic flow information for traffic at the road location corresponding to the traffic flow aggregation classification, the generating of the representative traffic flow information being based at least in part on aggregating the prior traffic flow values associated with the at least one time-based and condition-based categories of the traffic flow aggregation classification and on determining one or more typical traffic flow values based on the aggregated prior traffic flow values, the generating of the representative traffic flow information for the road location and the traffic flow aggregation classification including using the aggregated prior traffic flow values only if the prior times at which the aggregated prior traffic flow values were obtained are automatically determined to include sufficient temporal diversity, the generating of the representative traffic flow information for the road location and the traffic flow aggregation classification further including, if the prior times at which the aggregated prior traffic flow values were obtained for the road location and the traffic flow aggregation classification are not determined to include sufficient temporal diversity, generating the representative traffic flow information for the road location and the traffic flow aggregation classification based at least in part on an expanded group of traffic flow values that corresponds to one or more other related traffic flow aggregation classifications that include one or more other condition-based categories corresponding to one or more other traffic-alerting conditions related to the at least one traffic-altering condition to which the traffic flow aggregation classification corresponds; and

providing one or more indications of the generated representative traffic flow information for the road location for use in facilitating travel on the road at future times.

45. A non-transitory computer-readable medium whose contents enable a computing device to generate representative traffic flow information for roads, by performing a method comprising:

selecting multiple condition-based categories for which representative traffic flow information will be distinctly generated for a road location, the multiple condition-based categories each corresponding to at least one of multiple variable traffic-altering conditions;

obtaining historical traffic flow values indicating prior traffic flow for the road location at each of multiple distinct prior times, each of at least some of the historical traffic flow values corresponding to one or more of the multiple traffic-altering conditions;

associating the obtained traffic flow values with the condition-based categories by, for each of the at least some historical traffic flow values, associating the historical traffic flow value with at least one condition-based category having a corresponding traffic-altering condition that matches at least one of the one or more traffic-altering conditions to which the historical traffic flow value corresponds; and

for each of one or more of the condition-based categories, generating representative traffic flow information for traffic at the road location that occurs during the one or more traffic-altering conditions corresponding to the category by aggregating the traffic flow values associated with the category and by determining one or more typical traffic flow values based on the aggregated traffic flow values, the generating of the representative traffic flow information including using the aggregated traffic flow values only if sufficient temporal diversity is automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, the generating of the representative traffic flow information further including, if sufficient temporal diversity is not automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, generating the representative traffic flow information for the road location and the one or more traffic-altering conditions corresponding to the category based at least in part on an expanded group of traffic flow values that corresponds to one or more other related road locations proximate to the road location.

46. The computer-readable medium of claim 45 wherein the method further comprises selecting multiple time-based categories for which representative traffic flow information will be distinctly generated for the road location, the multiple time-based categories each corresponding to a time period based on day-of-week and time-of-day information, wherein the generating of the representative traffic flow information for a condition-based category further includes determining a typical traffic flow value for traffic at the road location that occurs during the at least one traffic-altering condition corresponding to the category for each of the multiple time periods corresponding to the multiple time-based categories, and wherein the method further comprises providing one or more indications of the generated representative traffic flow information for the road location for use in facilitating travel on the road.

47. The computer-readable medium of claim 45 wherein the computer-readable medium is at least one of a memory of a computing device and a data transmission medium transmitting a generated data signal containing the contents.

48. The computer-readable medium of claim 45 wherein the contents are instructions that when executed cause the computing device to perform the method.

49. The computer-readable medium of claim 45 wherein the generating of the representative traffic flow information for a condition-based category further includes determining a typical traffic flow value for traffic at the road location that occurs during each of multiple time periods with the one or more traffic-altering conditions corresponding to the category, and wherein the contents include one or more data structures including multiple entries corresponding to generated representative traffic flow information, each of the entries corresponding to a road location and one or more traffic-altering conditions and one or more time periods so as to store one or more determined typical traffic flow values for the road location during the one or more time periods and during the one or more traffic-altering conditions.

50. A computing device configured to generate representative traffic flow information for roads, comprising:

one or more memories; and

a representative traffic information provider system configured to automatically provide representative traffic flow information for multiple locations on one or more roads by;

associating historical traffic flow values that indicate prior traffic flow for the multiple road locations at multiple prior times with multiple traffic flow aggregation classifications that represent distinct representative traffic flow information, each of at least some of the historical traffic flow values being associated with one of the road locations and corresponding to prior traffic flow at the one road location that reflects one or more of multiple traffic-altering conditions at one of the multiple prior times, each aggregation classification corresponding to at least one time period and to at least one of the multiple traffic-altering conditions, the associating including, for each of the at least some historical traffic flow values, associating the historical traffic flow value with at least one aggregation classification having a corresponding time period to which the prior time for the historical traffic flow value corresponds and having a corresponding traffic-altering condition that matches at least one of the one or more traffic-altering conditions reflected by the prior traffic flow to which the historical traffic flow value corresponds;

for each of one or more combinations of one of the multiple road locations and one of the multiple traffic flow aggregation classifications, generating representative traffic flow information for traffic at the road location that occurs during the time period and reflects the one or more traffic-altering conditions corresponding to the traffic flow aggregation classification by aggregating the traffic flow values associated with the traffic flow aggregation classification and with the road location and by determining one or more typical traffic flow values based on the aggregated traffic flow values, the generating of the representative traffic flow information including using the aggregated traffic flow values only if sufficient temporal diversity is automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, the generating of the representative traffic flow information further including, if sufficient temporal diversity is not automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, generating the representative traffic flow information for traffic at the road location that occurs during the time period and reflects the one or more traffic-altering conditions corresponding to the traffic flow aggregation classification based at least in part on an expanded group of traffic flow values that corresponds to one or more other related road locations proximate to the road location; and

providing one or more indications of the generated representative traffic flow information for use in facilitating travel on the one or more roads.

51. The computing device of claim 50 wherein the representative traffic information provider system includes software instructions for execution by the computing device.

52. The computing device of claim 50 wherein the representative traffic information provider system consists of a means for automatically providing representative traffic flow information for multiple locations on one or more roads by:

associating historical traffic flow values that indicate prior traffic flow for the multiple road locations at multiple prior times with multiple traffic flow aggregation classifications that represent distinct representative traffic flow information, each of at least some of the historical traffic flow values being associated with one of the road locations and corresponding to prior traffic flow at the one road location that reflects one or more of multiple traffic-altering conditions at one of the multiple prior times, each aggregation classification corresponding to at least one time period and to at least one of the multiple traffic-altering conditions, the associating including, for each of the at least some historical traffic flow values, associating the historical traffic flow value with at least one aggregation classification having a corresponding time period to which the prior time for the historical traffic flow value corresponds and having a corresponding traffic-altering condition that matches at least one of the one or more traffic-altering conditions reflected by the prior traffic flow to which the historical traffic flow value corresponds;

for each of one or more combinations of one of the multiple road locations and one of the multiple traffic flow aggregation classifications, generating representative traffic flow information for traffic at the road location that occurs during the time period and reflects the one or more traffic-altering conditions corresponding to the traffic flow aggregation classification by aggregating the traffic flow values associated with the traffic flow aggregation classification and with the road location and by determining one or more typical traffic flow values based on the aggregated traffic flow values, the generating of the representative traffic flow information including using the aggregated traffic flow values only if sufficient temporal diversity is automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, the generating of the representative traffic flow information further including, if sufficient temporal diversity is not automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, generating the representative traffic flow information for traffic at the road location that occurs during the time period and reflects the one or more traffic-altering conditions corresponding to the traffic flow aggregation classification based at least in part on an expanded group of traffic flow values that corresponds to one or more other related road locations proximate to the road location; and

providing one or more indications of the generated representative traffic flow information for use in facilitating travel on the one or more roads.

53. A non-transitory computer-readable medium whose contents include instructions that when executed configure a computing device to generate representative traffic flow information for roads, by performing a method comprising:

selecting multiple condition-based categories for which representative traffic flow information will be distinctly generated for a road location, the multiple condition-based categories each corresponding to at least one of multiple traffic-altering conditions;

obtaining historical traffic flow values indicating prior traffic flow for the road location at each of multiple distinct prior times, each of at least some of the historical traffic flow values corresponding to one or more of the multiple traffic-altering conditions;

associating the obtained traffic flow values with the condition-based categories by, for each of the at least some historical traffic flow values, associating the historical traffic flow value with at least one condition-based category having a corresponding traffic-altering condition that matches at least one of the one or more traffic-altering conditions to which the historical traffic flow value corresponds; and

for each of one or more of the condition-based categories, generating representative traffic flow information for traffic at the road location that occurs during a time period and during the one or more traffic-altering conditions corresponding to the category by aggregating the traffic flow values that are associated with the category and with the time period and by determining one or more typical traffic flow values based on the aggregated traffic flow values, the generating of the representative traffic flow information being performed by the configured computing device and including using the aggregated traffic flow values only if sufficient temporal diversity is automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, the generating of the representative traffic flow information further including, if sufficient temporal diversity is not automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, generating the representative traffic flow information for the road location and the one or more traffic-altering conditions corresponding to the category based at least in part on an expanded group of traffic flow values that corresponds to one or more other time periods related to the time period.

54. A computing device configured to generate representative traffic flow information for roads, comprising:

one or more processors; and

a representative traffic information provider system configured to, when executed by at least one of the one or more processors, automatically provide representative traffic flow information for multiple locations on one or more roads by;

associating historical traffic flow values that indicate prior traffic flow for the multiple road locations at multiple prior times with multiple traffic flow aggregation classifications that represent distinct representative traffic flow information, each of at least some of the historical traffic flow values being associated with one of the road locations and corresponding to prior traffic flow at the one road location that reflects one or more of multiple traffic-altering conditions at one of the multiple prior times, each aggregation classification corresponding to at least one time period and to at least one of the multiple traffic-altering conditions, the associating including, for each of the at least some historical traffic flow values, associating the historical traffic flow value with at least one aggregation classification having a corresponding time period to which the prior time for the historical traffic flow value corresponds and having a corresponding traffic-altering condition that matches at least one of the one or more traffic-altering conditions reflected by the prior traffic flow to which the historical traffic flow value corresponds;

for each of one or more combinations of one of the multiple road locations and one of the multiple traffic flow aggregation classifications, generating representative traffic flow information for traffic at the road location that occurs during the time period and reflects the one or more traffic-altering conditions corresponding to the traffic flow aggregation classification by aggregating the traffic flow values associated with the traffic flow aggregation classification and with the road location and by determining one or more typical traffic flow values based on the aggregated traffic flow values, the generating of the representative traffic flow information including using the aggregated traffic flow values only if sufficient temporal diversity is automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, the generating of the representative traffic flow information further including, if sufficient temporal diversity is not automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, generating the representative traffic flow information for traffic at the road location that occurs during the time period and reflects the one or more traffic-altering conditions corresponding to the traffic flow aggregation classification based at least in part on an expanded group of traffic flow values that corresponds to one or more other time periods related to the time period; and

providing one or more indications of the generated representative traffic flow information for use in facilitating travel on the one or more roads.

55. A non-transitory computer-readable medium whose contents include instructions that when executed configure a computing device to generate representative traffic flow information for roads, by performing a method comprising:

selecting multiple condition-based categories for which representative traffic flow information will be distinctly generated for a road location, the multiple condition-based categories each corresponding to at least one of multiple traffic-altering conditions;

obtaining historical traffic flow values indicating prior traffic flow for the road location at each of multiple distinct prior times, each of at least some of the historical traffic flow values corresponding to one or more of the multiple traffic-altering conditions;

associating the obtained traffic flow values with the condition-based categories by, for each of the at least some historical traffic flow values, associating the historical traffic flow value with at least one condition-based category having a corresponding traffic-altering condition that matches at least one of the one or more traffic-altering conditions to which the historical traffic flow value corresponds; and

for each of one or more of the condition-based categories, generating representative traffic flow information for traffic at the road location that occurs during the one or more traffic-altering conditions corresponding to the category by aggregating the traffic flow values associated with the category and by determining one or more typical traffic flow values based on the aggregated traffic flow values, the generating of the representative traffic flow information being performed by the configured computing device and including using the aggregated traffic flow values only if sufficient temporal diversity is automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, the generating of the representative traffic flow information further including, if sufficient temporal diversity is not automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, generating the representative traffic flow information for the road location and the one or more traffic-altering conditions corresponding to the category based at least in part on an expanded group of traffic flow values that corresponds to at least one other traffic-alerting condition related to the one or more traffic-altering conditions to which the category corresponds.

56. A computing device configured to generate representative traffic flow information for roads, comprising:

one or more processors; and

a representative traffic information provider system configured to, when executed by at least one of the one or more processors, automatically provide representative traffic flow information for multiple locations on one or more roads by;

associating historical traffic flow values that indicate prior traffic flow for the multiple road locations at multiple prior times with multiple traffic flow aggregation classifications that represent distinct representative traffic flow information, each of at least some of the historical traffic flow values being associated with one of the road locations and corresponding to prior traffic flow at the one road location that reflects one or more of multiple traffic-altering conditions at one of the multiple prior times, each aggregation classification corresponding to at least one time period and to at least one of the multiple traffic-altering conditions, the associating including, for each of the at least some historical traffic flow values, associating the historical traffic flow value with at least one aggregation classification having a corresponding time period to which the prior time for the historical traffic flow value corresponds and having a corresponding traffic-altering condition that matches at least one of the one or more traffic-altering conditions reflected by the prior traffic flow to which the historical traffic flow value corresponds;

for each of one or more combinations of one of the multiple road locations and one of the multiple traffic flow aggregation classifications, generating representative traffic flow information for traffic at the road location that occurs during the time period and reflects the one or more traffic-altering conditions corresponding to the traffic flow aggregation classification by aggregating the traffic flow values associated with the traffic flow aggregation classification and with the road location and by determining one or more typical traffic flow values based on the aggregated traffic flow values, the generating of the representative traffic flow information including using the aggregated traffic flow values only if sufficient temporal diversity is automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, the generating of the representative traffic flow information further including, if sufficient temporal diversity is not automatically determined to be present in the prior times for which the aggregated traffic flow values indicate the prior traffic flow, generating the representative traffic flow information for traffic at the road location that occurs during the time period and reflects the one or more traffic-altering conditions corresponding to the traffic flow aggregation classification based at least in part on an expanded group of traffic flow values that corresponds to at least one other traffic-alerting condition related to the one or more traffic-altering conditions to which the traffic flow aggregation classification corresponds; and

providing one or more indications of the generated representative traffic flow information for use in facilitating travel on the one or more roads.