Method and apparatus for reducing congestion through cooperative adaptive cruise control

A traffic and traffic density technology, applied in traffic control systems, traffic control systems of road vehicles, traffic flow detection, etc., can solve problems such as traffic slowdown and trouble

Active Publication Date: 2021-11-19
FORD GLOBAL TECH LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This requires a lot of infrastructure, slows traffic unnecessarily at some locations (for example, by stopping each vehicle for a second or two) to optimize vehicle flow at other locations, and can lead to public disbelief at these locations. Annoyance with controls that actually offer some advantages but are considered cumbersome and unnecessary by the public

Method used

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  • Method and apparatus for reducing congestion through cooperative adaptive cruise control
  • Method and apparatus for reducing congestion through cooperative adaptive cruise control
  • Method and apparatus for reducing congestion through cooperative adaptive cruise control

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Embodiment Construction

[0016] As required, specific embodiments of the invention are disclosed herein; however, it is to be understood that the disclosed embodiments are merely exemplary of the invention which may be embodied in various and alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimized to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention.

[0017] figure 1 An example block topology diagram of a vehicle-based computing system (VCS) 1 for a vehicle 31 is shown. An example of such a vehicle-based computing system 1 is the SYNC system manufactured by the Ford Motor Company. A vehicle provided with a vehicle-based computing system may include a visual front end interface 4 located in the vehicle. The user is also able to interact w...

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Abstract

The present disclosure relates to methods and apparatus for reducing congestion through cooperative adaptive cruise control. A system includes a processor configured to determine traffic density on a road segment. The processor is further configured to model traffic parameters to maximize traffic flow on the road segment based on traffic density and driving characteristic data received from a plurality of vehicles leaving the road segment. The processor is further configured to: use the model to determine a speed versus density curve, and send the speed versus density curve to vehicles entering the road segment, wherein the curve will cause traffic flow maximize.

Description

technical field [0001] The illustrative embodiments relate generally to a method and apparatus for reducing congestion through cooperative adaptive cruise control. Background technique [0002] Traffic jams often start at restricted locations (such as bridges, tunnels, and construction sites) where multiple traffic lanes merge into a single lane or where drivers must remain in lanes passing through narrow areas (resulting in a lot of driving personnel slow down). While a little congestion may be harmless, around peak traffic hours this can snowball into severe congestion that can suddenly take hours to sort out on your own. [0003] It has been observed that with a varying number of vehicles per minute passing a point (vehicle flow) as a given number of vehicles per mile (vehicle flow), one can obtain Vehicle traffic (bumper to bumper traffic)) to achieve optimal flow. That is, if there is a way to control the number of vehicles spaced apart at a given interval (such as a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W30/14B60W30/16B60W40/105G08G1/0967
CPCB60W30/14B60W30/16B60W40/105G08G1/096791G08G1/0133G08G1/02G08G1/052G08G1/096725G08G1/096783G08G1/0145B60W30/146
Inventor 佩里·罗宾逊·麦克尼尔南兹奥·德西亚约瑟夫·维希涅夫斯基安德亚·鲍斯·乔旺尼克
Owner FORD GLOBAL TECH LLC
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