Cooperative self-adaptive cruise control system algorithm based on traffic information

Abstract

The invention relates to a cooperative self-adaptive cruise control system algorithm based on traffic information. The traffic information serves as a condition capable of being obtained, prediction control is carried out through a model, and the riding comfort, the fuel economy, the safety and the car following performance serve as to-be-optimized targets; meanwhile, vehicle capacity limitation is added and respectively converted into corresponding optimal targets and system limitation, and as a cost function is built and minimized, a optimal solution sequence is obtained, and a first value is taken and applied to the system to optimize targets. According to the cooperative self-adaptive cruise control system algorithm, on the scene that signal lamps and front waiting motorcades of a CACC system exist in city working condition, more pieces of interference are treated to achieve that the speed of the vehicles is more actively adjusted, unnecessary speed keeping or large speed reduction is reduced so that the fuel economy and the riding comfort can be improved to achieve multi-objective optimization, the condition that as the vehicles follow some radical drivers, the driving behaviors of the vehicles are also radical is reduced, and optimal speed adjustment can be achieved according to the periphery environment.

Description

technical field [0001] The invention relates to a traffic network technology, in particular to a cooperative adaptive cruise system algorithm based on traffic information. Background technique [0002] The rapid progress of wireless communication technology has made vehicle wireless communication an important research direction in this field, and major universities and enterprises are also paying attention. The National Highway Traffic Safety Administration (NHTSA) of the United States strongly promotes the application of DSRC (Dedicated Short Range Communication) technology to the communication between vehicles or vehicles and road-based communication equipment, so as to improve the driving safety of vehicles. Vehicle-mounted DSRC involves many new mobile communication standards. This technology has been integrated into an important part of basic public facilities in the United States, supporting vehicle-to-vehicle communication (V2V) and vehicle-to-infrastructure communica...

AI Technical Summary

Problems solved by technology

[0004] The present invention is aimed at the problem that the current ACC cannot track the signal lights and traffic situation information in front, so that the large deceleration and unnecessary speed maintenance may be caused by adjusting the speed of the vehicle only according to the behavior of the vehicle in front, and proposes a traffic information-based The cooperative adaptive cruise system algorithm takes traffic information as a condition that can be obtained, and uses the Model Predictive Control (MPC, Model Predictive Control) of the present invention to take four performances of ride comfort, fuel economy, safety and car following performance as waiting conditions. The optimization objective, while adding the vehicle's own capacity constraints, transforms them into corresponding optimization objectives and system constraints respectively, by establishing and minimizing the cost function, the optimal solution sequence is obtained and the first value is applied to the system to achieve the optimization objective

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