TECHNOLOGIES FOR PROVIDING INFORMATION TO A USER WHILE TRAVELING

• US 20160282129A1
• Filed: 12/19/2013
• Published: 09/29/2016
• Est. Priority Date: 12/19/2013
• Status: Active Grant

• Current Assignee: Tahoe Research Limited (f/k/a Learndale Limited) (Vector Capital Corporation)
• Original Assignee: Intel Corporation
• Inventors: FLEMING, Kristoffer, WANG, Ren, OU, Zhongghong, KUMAR, Arvind, TAI, Tsung-Yuan C., GRESHAM, Timothy J., WEAST, John C., KUKIS, Corey
• Granted Patent: US 10,145,694 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3446 Details of route searching algorithms, e.g. Dijkstra, A*, arc-flags, using precalculated routes
• CPC Class Codes: G01C 21/3453 Special cost functions, i.e. other than distance or default speed limit of road segments
• CPC Class Codes: H04B 17/318 Received signal strength
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/024 Guidance services
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

Technologies for providing information to a user while traveling include a mobile computing device to determine network condition information associated with a route segment. The route segment may be one of a number of route segments defining at least one route from a starting location to a destination. The mobile computing device may determine a route from the starting location to the destination based on the network condition information. The mobile computing device may upload the network condition information to a crowdsourcing server. A mobile computing device may predict a future location of the device based on device context, determine a safety level for the predicted location, and notify the user if the safety level is below a threshold safety level. The device context may include location, time of day, and other data. The safety level may be determined based on predefined crime data. Other embodiments are described and claimed.

Claims

1-25. -25. (canceled)

26. A mobile computing device for generating directional routing instructions, the mobile computing device comprising:

a network monitoring module to;

determine network condition information associated with a route segment of a plurality of route segments defining one or more routes between a starting location and a destination location; and

store the network condition information; and

a route determination module to determine a route from the starting location to the destination location as a function of the network condition information.

27. The mobile computing device of claim 26, wherein the network condition information comprises a network type associated with the route segment.

28. The mobile computing device of claim 26, wherein the network condition information comprises a network signal strength associated with the route segment.

29. The mobile computing device of claim 26, wherein to determine the network condition information comprises to:

determine a current location of the mobile computing device;

determine network condition information associated with the current location of the mobile computing device; and

associate the network condition information with the route segment of the plurality of route segments associated with the current location.

30. The mobile computing device of claim 26, wherein to determine the network condition information comprises to receive network condition information associated with the route segment from a crowdsourcing server.

31. The mobile computing device of claim 26, wherein to determine the route comprises to:

determine road cost information associated with the plurality of route segments;

adjust the road cost information associated with the route segment based on the network condition information associated with the route segment; and

determine the route as a function of the adjusted road cost information associated with the plurality of route segments.

32. The mobile computing device of claim 31, wherein to determine the route as a function of the adjusted road cost information comprises to perform a Dijkstra shortest-path graph search algorithm based on the adjusted road cost information.

33. The mobile computing device of claim 26, wherein to determine the route comprises to:

determine a provisional route from the starting location to the destination location, the provisional route including the route segment; and

alter the provisional route based on the network condition information associated with the route segment.

34. A mobile computing device for user safety notification, the mobile computing device comprising:

a context determination module to determine a device context of the mobile computing device;

a location prediction module to predict a location for evaluation based on the device context;

a safety determination module to;

(i) determine a safety level for the predicted location based on predetermined safety data and the device context and (ii) compare the safety level to a threshold safety level; and

a user notification module to notify a user of the mobile computing device of the safety level in response to a determination that the safety level has a predefined relationship to the threshold safety level.

35. The mobile computing device of claim 34, wherein to determine the safety level comprises to determine a predicted crime level associated with the determined location based on predetermined crime data.

36. The mobile computing device of claim 34, wherein to determine the safety level comprises to determine a predicted mass crowd event associated with the determined location.

37. The mobile computing device of claim 34, wherein to notify the user of the safety level comprises to generate a warning signal.

38. The mobile computing device of claim 34, wherein to notify the user of the safety level further comprises to present a suggested alternate route to the user.

39. The mobile computing device of claim 38, wherein to present the suggested alternate route comprises to display a visual directional indicator or to generate a haptic directional indicator.

40. The mobile computing device of claim 38, wherein to present the suggested alternate route comprises to present a suggested alternate location on a predicted route of the mobile computing device.

41. The mobile computing device of claim 34, wherein to predict the location for evaluation comprises to determine a current location of the mobile computing device.

42. The mobile computing device of claim 34, wherein to predict the location for evaluation comprises to determine a nearby destination of the mobile computing device.

43. The mobile computing device of claim 34, wherein to predict the location for evaluation comprises to determine a destination on a predicted route of the mobile computing device.

44. One or more computer-readable storage media comprising a plurality of instructions that in response to being executed cause a mobile computing device to:

determine network condition information associated with a route segment of a plurality of route segments defining one or more routes between a starting location and a destination location;

store the network condition information; and

determine a route from the starting location to the destination location as a function of the network condition information.

45. The one or more computer-readable storage media of claim 44, wherein to determine the network condition information comprises to:

determine a current location of the mobile computing device;

determine network condition information associated with the current location of the mobile computing device; and

associate the network condition information with the route segment of the plurality of route segments associated with the current location.

46. The one or more computer-readable storage media of claim 44, wherein to determine the network condition information comprises to receive network condition information associated with the route segment from a crowdsourcing server.

47. One or more computer-readable storage media comprising a plurality of instructions that in response to being executed cause a mobile computing device to:

determine a device context of the mobile computing device;

predict a location for evaluation based on the device context;

determine a safety level for the predicted location based on predetermined safety data and the device context;

compare the safety level to a threshold safety level; and

notify a user of the mobile computing device of the safety level in response to determining that the safety level has a predefined relationship to the threshold safety level.

48. The one or more computer-readable storage media of claim 47, wherein to notify the user of the safety level comprises to generate a warning signal.

49. The one or more computer-readable storage media of claim 47, wherein to notify the user of the safety level further comprises to present a suggested alternate route to the user.

50. The one or more computer-readable storage media of claim 47, wherein to predict the location for evaluation comprises to determine a current location of the mobile computing device.