TRAFFIC MANAGEMENT SYSTEM

• US 20180211529A1
• Filed: 05/22/2015
• Published: 07/26/2018
• Est. Priority Date: 05/22/2015
• Status: Abandoned Application

• Current Assignee: Ent Services Development Corporation LP (DXC Technology Company)
• Original Assignee: Ent Services Development Corporation LP (DXC Technology Company)
• Inventors: KAUR, Satwant, ALLEN, William J., MAKKINEJAD, Babak, WICK, Corey
• Application Number:
  US15/576,622
• Publication Number:
  US 20180211529A1
• Time in Patent Office: Days
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/0145 for active traffic flow control
• CPC Class Codes: G08G 1/0967 Systems involving transmission of highway information, e.g. weather, speed limits transmission of navigation instructions to the vehicle G08G1/0968

Abstract

Example implementations relate to a traffic management system. For example, the traffic management system may receive data from a plurality of connected vehicles. The traffic management system may determine the relative positions of non-connected vehicles to the connected vehicles and may cluster connected vehicles and non-connected vehicles into a flock. The traffic management system may determine a flock traffic pattern and a nature of the flock traffic pattern, based on data received from the connected vehicles.

Claims

1. A non-transitory machine readable medium storing instructions executable by a processor of a traffic management system, the non-transitory machine readable medium comprising:

instructions to receive data from a plurality of connected vehicles at an interface of the traffic management system;

instructions to extrapolate a presence of non-connected vehicles near connected vehicles using the data;

instructions to cluster connected vehicles and non-connected vehicles into a flock; and

instructions to determine, based on received data, a flock traffic pattern and a nature of the flock traffic pattern.

2. The non-transitory machine readable medium of claim 1, wherein the data used to extrapolate the presence of non-connected vehicles includes a proximity measurement or a camera image.

3. The non-transitory machine readable medium of claim 1, wherein the data relates to a kinematic quantity, a vehicle specification, an operator input, an indication of vehicle safety feature activation, a road condition, a weather condition, a travel convenience information, GPS data, or a camera image.

4. The non-transitory machine readable medium of claim 1, wherein the flock traffic pattern includes a traffic density or a flock speed, and the nature of the flock traffic pattern includes a road condition or an accident.

5. The non-transitory machine readable medium of claim 1, further comprising:

instructions to analyze a plurality of flocks to determine a road traffic pattern; and

instructions to provide, via the interface, a travel recommendation to at least one vehicle of the connected vehicles based on the flock traffic pattern or the road traffic pattern.

6. The non-transitory machine readable medium of claim 1, wherein the data is stored in a database on a data storage of the traffic management system, the database having class inheritance properties based on vehicle manufacturer platforms.

7. The non-transitory machine readable medium of claim 6, further comprising instructions to retrieve data from a non-vehicular source that is used by the instructions to provide the travel recommendation or the instructions to determine the flock traffic pattern and the nature of the flock traffic pattern.

8. A method comprising:

receiving, at a traffic management system, data from a plurality of connected vehicles, the data including at least proximity data or camera images;

analyzing the data, by the traffic management system, to extrapolate relative positions of non-connected vehicles to connected vehicles;

clustering connected vehicles and non-connected vehicles into a flock; and

determining, by the traffic management system, a flock traffic pattern and a nature of the flock traffic pattern, based on the data.

9. The method of claim 8, further comprising:

analyzing, by the traffic management system, a plurality of flocks to determine road traffic patterns; and

providing, by the traffic management system, a travel recommendation to at least one vehicle of the connected vehicles based on the flock traffic pattern or the road traffic patterns.

10. The method of claim 8, wherein

the data relates to a kinematic quantity, an operator input, an indication of vehicle safety feature activation, a weather condition, a travel convenience information, or GPS data, and

the flock traffic pattern includes a traffic density, a flock speed, or a road condition.

11. The method of claim 8, further comprising:

transmitting, to the plurality of connected vehicles, a vehicle description related to an emergency situation; and

receiving, at the traffic management system, search data from the plurality of connected vehicles related to a search for a vehicle matching the vehicle description.

12. An apparatus for a connected vehicle, comprising:

a plurality of sensors that provide data related to operation of the connected vehicle, the plurality of sensors including a proximity sensor to sense other vehicles around the connected vehicle, the other vehicles including non-connected vehicles;

an analysis module to determine positions of the other vehicles relative to the connected vehicle based on data from the proximity sensor; and

a wireless communication module to;

transmit information to a traffic management system, the information including data from the plurality of sensors and the extrapolated positions, and

receive, from the traffic management system, a travel recommendation related to traffic conditions ahead of the connected vehicle based on an analysis by the traffic management system of information from a plurality of connected vehicles.

13. The apparatus of claim 12, wherein

the wireless communication module is to:

transmit information to other connected vehicles, and

receive information from other connected vehicles, and

the analysis module is to determine, based on at least the received information, a travel recommendation and a traffic pattern of a flock that includes the connected vehicle.

14. The apparatus of claim 12, wherein the wireless communication module is to transmit the determined traffic pattern to a connected vehicle of another flock.

15. The apparatus of claim 12, wherein

the plurality of sensors includes a camera,

the wireless communication module is to receive, from the traffic management system, a vehicle description related to an emergency situation, and

the analysis module monitors images from the camera for a vehicle matching the vehicle description.