A collaborative control method for traffic lights at intersections and intelligent networked vehicles

Abstract

The invention discloses a collaborative control method of traffic lights at intersections and intelligent network-connected vehicles, comprising: obtaining information on intelligent network-connected vehicles within the communication range of the intersection; establishing an optimization model of the arrival time of vehicles at the intersection, and using the vehicle information to solve the problem of vehicles The optimal arrival time at the intersection; sort all the vehicles arriving at the intersection to obtain the sequence of vehicles passing through the intersection; establish a signal light optimization model, and use vehicle information, optimal arrival time and the sequence of vehicles passing through the intersection to solve Optimal signal light state; establish vehicle speed trajectory optimization model, use vehicle information and optimal signal light state to solve to obtain optimal vehicle speed trajectory; use optimal signal light state and optimal speed trajectory to realize coordinated control of signal light and vehicle. The present invention can comprehensively improve the traffic capacity of the intersection and the fuel economy of the vehicle through the coordinated control of the traffic signal lights at the intersection and the intelligent networked vehicles.

Description

technical field [0001] The invention relates to the field of intelligent transportation systems, in particular to a method for coordinated control of traffic lights at intersections and intelligent networked vehicles. Background technique [0002] With the increase of the number of vehicles in the world, urban traffic, especially at intersections, is facing problems such as traffic congestion, environmental pollution, and frequent traffic accidents, which have caused huge social and economic losses. At the same time, traffic congestion leads to frequent acceleration, deceleration and idling of vehicles, aggravating fuel consumption and emission pollution. In recent years, the development of intelligent network technology has provided new opportunities to solve the above problems. Through vehicle-to-vehicle communication (V2V) and vehicle-to-infrastructure communication (V2I), vehicles approaching intersections can obtain signal light status, adjacent vehicle information and ...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the shortcomings of the above-mentioned prior art, the present invention proposes a collaborative control method of traffic lights at intersections and intelligent networked vehicles, in order to reduce the fuel consumption of vehicles while ensuring the traffic efficiency of intersections, thereby alleviating the The current urban traffic is facing traffic congestion, environmental pollution and resource shortages to achieve green and sustainable development

Images