A network-connected signal-controlled intersection control system and method

Abstract

The invention discloses a network-linked signal-controlled intersection control system and method, which uses the roadside cooperative control subsystem to receive all vehicle running information within its communication range, and uses DBSCAN to perform clustering according to all vehicle running information in an intersection. Clusters, clustered vehicles form a vehicle team, forming an intersection team set, and construct an intersection signal optimization model based on the intersection team set, with the delay of all vehicles at the intersection as the objective function, and the vehicle kinematics model and traffic model as constraints conditions, using the genetic algorithm to solve the signal light timing to obtain the optimal timing scheme, after the end of this cycle, the intersection signal lights will be controlled according to the optimal timing scheme in the next cycle, and the present invention uses all vehicle data sets at the intersection to optimize The timing of traffic lights at intersections has been optimized to improve road traffic capacity and reduce energy consumption and exhaust emissions.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a network-connected signal-controlled intersection control system and method. Background technique [0002] With the continuous increase of car ownership, urban traffic problems are becoming more and more serious. As the hub of urban traffic network, intersections are the core of solving urban traffic problems. At present, most intersections use a fixed timing signal control method to control the right of way of vehicles at each entrance, but the fixed timing signal control often does not match the actual traffic flow, which makes the intersection traffic efficiency low. At present, many scholars have optimized the signal control method, and the signal control has also experienced the development process of induction control and adaptive control. However, most of these methods use fixed-point data collection, and the acquired traffic flow data is limited and cannot guara...

AI Technical Summary

Problems solved by technology

At present, most intersections use a fixed timing signal control method to control the right of way of vehicles at each entrance, but the fixed timing signal control often does not match the actual traffic flow, which makes intersection traffic inefficient

At present, many scholars have optimized the signal control method, and the signal control has also experienced the development process of induction control and adaptive control. However, most of these methods use fixed-point data collection, and the acquired traffic flow data is limited and cannot guarantee accuracy and poor interactivity. , and it is difficult for vehicles to make full use of intersection signal information, and it is difficult to meet the current traffic travel needs

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