Travel route system and method

• US 8,024,111 B1
• Filed: 04/02/2008
• Issued: 09/20/2011
• Est. Priority Date: 04/02/2008
• Status: Expired due to Fees

• Current Assignee: Strategic Design Federation W, LLC
• Original Assignee: Strategic Design Federation W Incorporated
• Inventors: Meadows, Vernon, Koval, Joseph Paul
• Primary Examiner(s): ARTHUR JEANGLAUD, GERTRUDE
• Application Number:
  US12/061,172
• Time in Patent Office: 1,266 Days
• Field of Search: 701/201, 701/207, 701/208, 701/209, 701/211, 701/212, 701/214, 701/300, 340/905, 340/988, 340/994, 340/995.23
• US Class Current: 701/201
• CPC Class Codes: G01C 21/3492 employing speed data or traffic data, e.g. real-time or historical traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968

Abstract

A method of recommending a travel route includes receiving an indication of a start location and a destination location, and a desired arrival time at the destination location. One or more road segments included in possible routes are identified. Traffic data, event data, and weather data from at least one traffic data source, event data source, and weather data source, are received for the one or more road segments corresponding to a desired time of travel between the start location and destination location. At least one suggested travel route from the start location to the destination location for arriving at the destination by the desired arrival time is created based on analyzing the impact of the traffic data, the event data, and the weather data on the one or more road segments during the desired time of travel between the start location and destination location.

Claims

1. A method of recommending a travel route, the method comprising:

(a) receiving an indication of a start location and a destination location, and a desired arrival time at the destination location;

(b) identifying one or more road segments included in possible routes between the start location and the destination location;

(c) receiving traffic data, event data, and weather data from at least one traffic data source, at least one event data source, and at least one weather data source, respectively, for the one or more road segments corresponding to a desired time of travel between the start location and the destination location, wherein the event data includes address information corresponding to expected attendees for one or more events occurring in a geographic area proximate to the one or more road segments; and

(d) creating at least one suggested travel route from the start location to the destination location for arriving at the destination by the desired arrival time using the one or more road segments based on analyzing the impact of the traffic data, the event data, and the weather data on the one or more road segments during the desired time of travel between the start location and the destination location, wherein the analyzing the impact includes, at least in part, using the address information to determine a change in a number of expected travelers for the one or more road segments in the geographic area resulting from the occurrence of the one or more events.

2. The method of claim 1, wherein the indication of the start location and the destination location and the desired arrival time at the destination location are received by an intelligent route engine from a user device via a communication network.

3. The method of claim 1, wherein the desired time of travel between the start location and the destination location is determined based on the desired arrival time.

4. The method of claim 1, wherein creating the at least one suggested travel route further comprises:

(i) determining a traffic flow for the one or more road segments based on the traffic data, the event data, and the weather data;

(ii) determining at least one combination of the one or more road segments that can be linked together to create the at least one travel route;

(iii) comparing the traffic flow for the at least one combination of the one or more road segments; and

(iv) selecting the at least one combination with the greatest traffic flow.

5. The method of claim 1, wherein the traffic data includes traffic pattern data, the traffic pattern data related to historical traffic patterns along the one or more road segments.

6. The method of claim 1, further comprising:

(e) providing the at least one suggested travel route to a user device for display of the travel route.

7. The method of claim 5, wherein the start location corresponding to the current location of the user is automatically determined by a GPS component included in the user device.

8. The method of claim 5, wherein the at least one suggested travel route is provided by an intelligent route engine to the user device using at least one of a wireless text message, a short message service (SMS), a facsimile, a WiFi link, a WiMax link, and a wired or wireless internet link.

9. The method of claim 1, wherein the traffic data received in step (c) includes at least one of predictive traffic data, historical traffic data, and real-time traffic data.

10. The method of claim 1, wherein the weather data received in step (c) includes at least one of current weather conditions, historical weather conditions, and predicted future weather conditions.

11. The method of claim 10, wherein a weather condition includes an indication of an occurrence of a weather phenomenon.

12. The method of claim 1, wherein the event data received in step (c) includes at least one of historical events, scheduled events, anticipated future events, and events in progress.

13. The method of claim 1, further comprising:

(g) generating updates for the at least one suggested travel route in response to obtaining updated traffic, event, and weather data during the travel from the start location to the destination location; and

(h) providing the updates to a user device for display.

14. A method of recommending a travel route, the method comprising:

(a) receiving an indication of an start location and a destination location;

(b) receiving a desired arrival time associated with the destination location;

(c) identifying at least one possible travel route from the start location to the destination location;

(d) receiving data comprising at least one of traffic data, weather data, and event data from at least one traffic data source, at least one weather data source, and at least one event data source, respectively, corresponding to the at least one possible travel route, wherein the event data includes address information corresponding to expected attendees for one or more events occurring in a geographic area proximate to the at least one travel route;

(e) predicting the effect of the data on a traffic flow along the at least possible one possible travel route at least in part by using the address information to determine a change in a number of expected travelers for segments of the at least one possible travel route in the geographic area resulting from the occurrence of the one or more events; and

(f) selecting one of the at least one possible travel routes based on the predicted effect of the data on the traffic flow and the target arrival time.

15. The method of claim 14, wherein the selecting of step (f) includes:

(i) determining a traffic flow for each route of the at least one possible travel route based on the predicted effect from step (e);

(ii) comparing the traffic flow for each route to identify the at least one possible travel route with the greatest traffic flow for a time associated with the desired arrival time; and

(iii) selecting the at least one possible travel route with the greatest traffic flow.

16. The method of claim 14, wherein the indication of the start location, the destination location, and the desired arrival time at the destination location are received by an intelligent route engine from a user device via a communication network.

17. The method of claim 14, wherein the traffic data received in step (d) includes at least one of predictive traffic data, historical traffic data, and real-time traffic data.

18. The method of claim 14, wherein the weather data received in step (d) includes at least one of current weather conditions, historical weather conditions, and predicted future weather conditions.

19. The method of claim 14, wherein the event data received in step (d) includes at least one of historical events, scheduled events, anticipated future events, and events in progress.

20. The method of claim 19, wherein the event data for an event includes a scheduled begin time, projected end time, an event venue, and an expected attendance.

21. A method of recommending a travel route, the method comprising:

(a) receiving an indication of an start location and a destination location;

(b) receiving a desired departure time associated with the start location and a desired arrival time associated with the destination location;

(c) identifying one or more road segments;

(d) receiving traffic data from at least one traffic data source corresponding to the one or more road segments;

(e) receiving event data from at least one event data source corresponding to one or more events proximate to the one or more road segments, the event data including address information corresponding to expected attendees for the one or more events occurring in a geographic area proximate to the one or more road segments;

(f) receiving weather data from at least one weather data source corresponding to at least one weather phenomenon proximate to the one or more road segments;

(g) predicting a traffic flow along each of the one or more road segments for a time interval corresponding to the desired departure time and the desired arrival time by using the traffic data, the event data, and the weather data, and by using the address information to determine a change in a number of expected travelers for the one or more road segments in the geographic area resulting from the occurrence of the event; and

(h) creating at least one suggested travel route from the start location to the destination location by linking a set of the one or more road segments based on the predicted traffic flow along each segment.

22. The method of claim 21, wherein at least one combination of the one or more road segments that can be linked together to create the at least one travel route is determined.

23. The method of claim 21, wherein creating the at least one suggested travel route in step (g) includes comparing the predicted traffic flow for at least one combination of the one or more road segments joining the start location and the destination location based on the impact of the traffic data, the event data, and the weather data on the traffic flow, and selecting the combination of the one or more road segments with the greatest traffic flow.

24. An article of manufacture for recommending a travel route, the article of manufacture comprising a computer-readable medium holding computer-executable instructions for performing a method comprising:

(a) receiving an indication of a start location and a destination location, and a desired arrival time at the destination location;

(b) identifying one or more road segments included in possible routes between the start location and the destination location;

(c) receiving traffic data, event data, and weather data from at least one traffic data source, at least one event data source, and at least one weather data source, respectively, for the one or more road segments corresponding to a desired time of travel between the start location and the destination location, wherein the event data includes address information corresponding to expected attendees for one or more events occurring in a geographic area proximate to the one or more road segments; and

(d) creating at least one suggested travel route from the start location to the destination location for arriving at the destination location by the desired arrival time using the one or more road segments based on analyzing the impact of the traffic data, the event data, and the weather data on the one or more road segments during the desired time of travel between the start location and the destination location, wherein the analyzing the impact includes, at least in part, using the address information to determine a change in a number of expected travelers for the one or more road segments in the geographic area resulting from the occurrence of the one or more events.

25. A system for recommending a travel route, the system comprising:

a receiver unit configured to receive an indication of a start location and a destination location, and a desired arrival time at the destination location;

a mapping unit configured to identify one or more road segments included in possible routes between the start location and the destination location;

a data aggregation unit configured receive traffic data, event data, and weather data from at least one traffic data source, at least one event data source, and at least one weather data source, respectively, for the one or more road segments corresponding to a desired time of travel between the start location and the destination location, wherein the event data includes address information corresponding to expected attendees for one or more events occurring in a geographic area proximate to the one or more road segments; and

a route determination unit configured to create at least one suggested travel route from the start location to the destination location for arriving at the destination location by the desired arrival time using the one or more road segments based on analyzing the impact of the traffic data, the event data, and the weather data on the one or more road segments during the desired time of travel between the start location and the destination location, wherein the analyzing the impact includes, at least in part, using the address information to determine a change in a number of expected travelers for the one or more road segments in the geographic area resulting from the occurrence of the one or more events.