Vehicle curve passing through auxiliary system based on vehicle-road/vehicle-vehicle communication

Abstract

The invention relates to a vehicle curve passing through auxiliary system based on vehicle-road / vehicle-vehicle communication. The system comprises a plurality of vehicles passing through a curve, an information communication and processing base station and a vehicle coming into the curve. A vehicle-mounted sensing system and a vehicle-mounted communication module are arranged on each vehicle passing through the curve, a vehicle-mounted communication module is also arranged on the vehicle coming into the curve, and the information communication and processing base station is arranged on one side of the curve. The vehicle-mounted sensing system collects transport condition information of the vehicles passing through the curve and sends the transport condition information to a road side communication device through the vehicle-mounted communication modules, the road side communication device sends the received transport condition information of the vehicles passing through the curve to a road side storage device, data are classified by a road side information processing unit according to different types of the vehicles, non-supervision type cluster and statistic learning are conducted on the transport condition data of the same type of the vehicles to obtain the optimal speed sequence and the trajectory sequence, the obtained optimal speed sequence and the trajectory sequence are transmitted to the vehicle coming into the curve, the speed suggestion or auxiliary control of curve passing through is conducted on the vehicle coming into the curve according to the type of the vehicles through the optimal speed sequence and the trajectory sequence.

Description

technical field [0001] The invention relates to the field of intelligent transportation systems, in particular to a vehicle curve assisting system based on vehicle-road / vehicle-vehicle communication. Background technique [0002] With the increase in car ownership and road traffic flow, problems such as road congestion, environmental pollution and traffic accidents are becoming more and more serious. In the road section where the car is driving, the curved road section has complicated working conditions and is a dangerous road section in the driving process. When the vehicle is driving on a curved road section, speeding is the main cause of traffic accidents. It is difficult for the driver to timely and accurately estimate the driving conditions of the curve, such as the radius of curvature of the curve, road friction coefficient, traffic conditions and other information, resulting in entering the curve at an excessively high speed, prone to rollover and traffic accidents w...

AI Technical Summary

Problems solved by technology

[0004] The problems in the above-mentioned prior art mainly include several aspects: 1) The means for obtaining information such as traffic conditions, weather conditions, and road conditions at the bends are not mature enough, and the accuracy of the information obtained is not high, and real-time performance is difficult to guarantee; 2) Obtaining Curve information requires a high-precision sensing system, which is costly and difficult to popularize and apply; 3) Most of the information that can be obtained at present is relatively static, such as curve curvature, road slope, etc., but for some dynamic information such as road adhesion coefficient, Curve traffic accidents, weather conditions, etc. are still difficult to obtain; 4) At present, the establishment of the curve safe traffic speed model is mostly based on static road information, which is difficult to respond to dynamic road condition changes; The traffic assist system is established from the perspective of vehicle dynamics control, there is no self-learning function based on historical driving data, and the degree of intelligence is low

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