PREDICTIVE TRANSPORTATION SYSTEM MODELING

• US 20170176198A1
• Filed: 12/22/2015
• Published: 06/22/2017
• Est. Priority Date: 12/22/2015
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: TATOURIAN, IGOR A., WOUHAYBI, RITA A., NEGI, ANSUYA
• Granted Patent: US 10,024,674 B2
• Time in Patent Office: Days
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: G01C 21/3453 Special cost functions, i.e. other than distance or default speed limit of road segments
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3626 Details of the output of route guidance instructions traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968
• CPC Class Codes: G06F 18/256 of results relating to different input data, e.g. multimodal recognition
• CPC Class Codes: G06V 10/811 the classifiers operating on different input data, e.g. multi-modal recognition
• CPC Class Codes: G06V 20/54 of traffic, e.g. cars on the road, trains or boats
• CPC Class Codes: G06V 20/597 Recognising the driver's state or behaviour, e.g. attention or drowsiness
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: G08G 1/096716 where the received information does not generate an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096758 where no selection takes place on the transmitted or the received information
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station
• CPC Class Codes: G08G 1/096811 where the route is computed offboard
• CPC Class Codes: G08G 1/096844 where the complete route is dynamically recomputed based on new data
• CPC Class Codes: G08G 1/164 Centralised systems, e.g. external to vehicles
• CPC Class Codes: G08G 1/205 Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental

Abstract

A plurality of vehicles may each include one or more biometric sensors capable of measuring at least one physiological factor and/or at least one psychological factor logically associated with at least one occupant of each vehicle. Each of the plurality of vehicles may also include at least one vehicular sensor to measure at least one vehicular factor and/or at least one ambient environmental sensor to measure at least one ambient environmental factor. A route guidance state machine receives the data indicative of the at least one physiological factor, at least one psychological factor, at least one vehicular factor, and/or at least one ambient environmental factor and determines a route for a first vehicle that minimizes the likelihood of contact with others in the plurality of vehicles exhibiting one or more unsafe actions.

Claims

1. A route guidance system, comprising:

a first sensor to acquire at least data representative of at least one of;

a physical factor or a psychological factor logically associated with a respective occupant of each of a plurality of vehicles;

a route guidance state machine that generates one or more route guidance outputs in a first of the plurality of vehicles responsive to a receipt of at least the data indicative of at least one of;

the one or more physical factors or the one or more psychological factors associated with a respective vehicle operator in each of the remaining plurality of vehicles.

2. The route guidance system of claim 1, further comprising:

a second sensor to acquire at least data representative of one or more vehicular factors logically associated with each respective one of the plurality of vehicles;

wherein the route guidance state machine further generates one or more route guidance outputs in the first of the plurality of vehicles responsive to a receipt of at least the data representative of the one or more vehicular factors from each respective one of the remaining plurality of vehicles.

3. The route guidance system of claim 2 wherein the second sensor comprises at least one of:

a steering input sensor;

an accelerator position sensor;

a braking position sensor;

a lateral acceleration sensor;

a lane tracking sensor;

an intra-vehicular distance sensor; and

a linear acceleration sensor.

4. The route guidance system of claim 2, further comprising:

a third sensor to acquire at least data representative of one or more environmental factors external to and logically associated with each respective one of the plurality of vehicles;

wherein the route guidance state machine further generates one or more route guidance outputs in the first of the plurality of vehicles responsive to a receipt of at least the data representative of the one or more environmental factors from each respective one of the remaining plurality of vehicles.

5. The route guidance system of claim 4 wherein the third sensor comprises at least one of:

a steering input sensor;

an accelerator position sensor;

a braking position sensor;

a lateral acceleration sensor;

a lane tracking sensor;

an intra-vehicular distance sensor; and

a linear acceleration sensor.

6. The route guidance system of claim 1, further comprising:

a geolocation sensor to acquire at least data representative of a geolocation logically associated with each respective one of the plurality of vehicles;

wherein the route guidance state machine further generates one or more route guidance outputs in the first of the plurality of vehicles responsive to a receipt of at least the data representative of the geolocation of each respective one of the remaining plurality of vehicles.

7. The route guidance system of claim 1 wherein the first sensor comprises at least one of:

a heart rate measurement sensor;

a body temperature sensor;

a blood alcohol sensor;

a respiration sensor, a skin conductivity sensor;

a facial recognition sensor;

a retinal sensor;

a fingerprint sensor, a voice identification sensor, and a skin reflection sensor.

8. The route guidance system of claim 1, further comprising at least one communication interface.

9. The route guidance system of claim 8 wherein the route guidance state machine is disposed remote from all of the plurality of vehicles.

10. The route guidance system of claim 8 wherein the route guidance state machine comprises a plurality of distributed circuits each providing a portion of the route guidance state machine, each of the plurality of distributed circuits disposed in a respective one of the plurality of vehicles.

11. A route guidance method comprising:

generating, via one or more biometric sensors, a first signal that includes data or information representative of at least one of a physical factor or a psychological factor logically associated with a respective occupant in each one of a plurality of vehicles;

receiving the first signal from each of the plurality of vehicles at a route guidance state machine; and

generating, via the route guidance state machine, a route guidance output for a first of the plurality of vehicles responsive to the receipt of at least one of;

the one or more physical factors or the one or more psychological factors associated with a respective vehicle operator in each of the remaining plurality of vehicles.

12. The route guidance method of claim 11 wherein generating, via one or more biometric sensors, a first signal that includes data or information representative of at least one of a physical factor or a psychological factor comprises:

generating, via one or more biometric sensors including at least one of;

a heart rate sensor, a body temperature sensor, a blood alcohol sensor, a respiration sensor, a skin conductivity sensor, a blood pressure sensor, a facial recognition sensor, a retina scanner, a fingerprint scanner, a voice identification sensor, or a skin reflection sensor, the first signal that includes data or information representative of at least one of the physical factor or the psychological factor.

13. The route guidance method of claim 11 wherein generating, via one or more biometric sensors, a first signal that includes data or information representative of at least one of a physical factor or a psychological factor logically associated with a respective occupant in each one of a plurality of vehicles comprises:

generating, via one or more biometric sensors, a first signal that includes data or information representative of at least one of a physical factor or a psychological factor logically associated with a respective vehicle operator in each one of a plurality of vehicles.

14. The route guidance method of claim 13 wherein generating, via one or more biometric sensors, a first signal that includes data or information representative of at least one of a physical factor or a psychological factor logically associated with a respective occupant in each one of a plurality of vehicles further comprises:

generating, via one or more biometric sensors, a first signal that includes data or information representative of at least one of a physical factor or a psychological factor logically associated with a respective passenger in each one of a plurality of vehicles.

15. The route guidance method of claim 11, further comprising:

generating, via one or more vehicular sensors, a second signal that includes data or information representative of at least one vehicular factor logically associated with each respective one of a plurality of vehicles;

receiving the second signal from each of the plurality of vehicles at a route guidance state machine; and

generating, via the route guidance state machine, a route guidance output for the first of the plurality of vehicles responsive to the receipt of the at least one vehicular factor logically associated with each of the remaining plurality of vehicles.

16. The route guidance method of claim 15 wherein generating, via one or more vehicular sensors, a second signal that includes data or information representative of at least one vehicular factor comprises:

generating, via one or more vehicular sensors including at least one of;

a steering input sensor, an accelerator position sensor, a braking position sensor, a lateral accelerometer, a lane tracking sensor, a lane departure sensor, an intra-vehicle distance sensor, a blind spot sensor, a parking assist sensor, or a linear accelerometer, that includes data or information representative of the at least one vehicular factor.

17. The route guidance method of claim 15, further comprising:

generating, via one or more ambient environment sensors, a third signal that includes data or information representative of at least one ambient environmental factor logically associated with each respective one of a plurality of vehicles;

receiving the third signal from each of the plurality of vehicles at a route guidance state machine; and

generating, via the route guidance state machine, a route guidance output for the first of the plurality of vehicles responsive to the receipt of the at least one ambient environmental factor logically associated with each of the remaining plurality of vehicles.

18. The route guidance method of claim 17 wherein generating, via one or more ambient environment sensors, a third signal that includes data or information representative of at least one ambient environmental factor logically associated with each respective one of a plurality of vehicles comprises:

generating, via one or more ambient environment sensors that include at least one of;

an ambient temperature sensor, a humidity sensor, a road surface condition sensor, an ambient light sensor, or a road composition sensor, a third signal that includes data or information representative of at least one ambient environmental factor logically associated with each respective one of a plurality of vehicles.

19. The route guidance method of claim 11, further comprising:

generating, via one or more vehicular sensors, a geolocation signal that includes data or information representative of a geolocation logically associated with each respective one of a plurality of vehicles;

receiving the geolocation signal from each of the plurality of vehicles at a route guidance state machine; and

generating, via the route guidance state machine, a route guidance output for the first of the plurality of vehicles responsive to the receipt of the geolocation logically associated with each of the remaining plurality of vehicles.

20. The route guidance method of claim 11 wherein generating, via the route guidance state machine, a route guidance output comprises:

generating, via a network connected route guidance state machine, the route guidance output; and

communicating the generated route guidance output to the first of the plurality of vehicles.

21. The route guidance method of claim 11 wherein generating, via the route guidance state machine, a route guidance output comprises:

generating, via a plurality of circuits that collectively provide the route guidance state machine, each of the plurality of circuits disposed in a respective one of the plurality of vehicles; and

communicating the generated route guidance output to the first of the plurality of vehicles.

22. A route guidance system comprising:

a means for generating a first signal that includes data or information representative of at least one of a physical factor or a psychological factor logically associated with a respective occupant in each one of a plurality of vehicles;

a means for receiving the first signal from each of the plurality of vehicles; and

a means for generating a route guidance output for a first of the plurality of vehicles responsive to the receipt of at least one of;

the one or more physical factors or the one or more psychological factors associated with a respective vehicle operator in each of the remaining plurality of vehicles.

23. The route guidance system of claim 22, further comprising:

a means for generating a second signal that includes data or information representative of at least one vehicular factor logically associated with each respective one of a plurality of vehicles;

a means for receiving the second signal from each of the plurality of vehicles; and

a means for generating a route guidance output for the first of the plurality of vehicles responsive to the receipt of the at least one vehicular factor logically associated with each of the remaining plurality of vehicles.

24. The route guidance system of claim 23, further comprising:

a means for generating a third signal that includes data or information representative of at least one ambient environmental factor logically associated with each respective one of a plurality of vehicles;

a means for receiving the third signal from each of the plurality of vehicles; and

a means for generating a route guidance output for the first of the plurality of vehicles responsive to the receipt of the at least one ambient environmental factor logically associated with each of the remaining plurality of vehicles.

25. The route guidance system of claim 22, further comprising:

a means for generating a geolocation signal that includes data or information representative of a geolocation logically associated with each respective one of a plurality of vehicles;

a means for receiving the geolocation signal from each of the plurality of vehicles; and

a means for generating a route guidance output for the first of the plurality of vehicles responsive to the receipt of the geolocation logically associated with each of the remaining plurality of vehicles.