Network connection vehicle signal lamp control intersection economic passing method based on reinforcement learning

Abstract

The invention relates to a network connection vehicle signal lamp control intersection economic passing method based on reinforcement learning. The method comprises the following steps that vehicle and roadside environment state information is obtained; an intersection passage ecological driving model is built, includes building a vehicle longitudinal dynamics model and building a roadside signal lamp state traffic environment model; a deep deterministic strategy gradient algorithm is utilized to construct a pure electric network connection vehicle intersection passing ecological driving strategy, a multi-objective optimization problem including the minimum vehicle battery energy consumption and the shortest passing time is solved, an optimal passing speed spectrum is obtained, and therefore the optimal energy consumption level of passing through an intersection is obtained. According to the invention, the deep reinforcement learning algorithm is applied to actual vehicle intersection traffic control, and the method has good generalization performance and optimization effect for a signal lamp remaining time dynamic change scene.

Description

technical field [0001] The invention relates to the technical field of smart traffic and intelligent networked vehicle control, in particular to a method for economical crossing traffic controlled by signal lights of networked vehicles based on reinforcement learning. Background technique [0002] The rapid development of urbanization has brought great challenges to the road traffic environment, and the increasingly crowded traffic intersections with signal lights have generated a lot of unnecessary energy consumption. The entry and exit of economical intersections has always been the main research focus of traffic decision-making in urban traffic intersections. From the perspective of vehicles, the emergence of intelligent networked vehicles provides a new solution to improve traffic efficiency and alleviate the phenomenon of parking and waiting at urban light-controlled intersections. In addition to being driven by new energy, smart electric vehicles are based on the low-...

AI Technical Summary

Problems solved by technology

The Actor-Critic architecture can directly output action information and has powerful optimization capabilities. The research on the convenient application of ecological driving strategies is not yet mature

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