Multi-intersection signal timing system and method in network connection traffic environment

Abstract

The invention relates to a multi-intersection signal timing system and method in a network connection traffic environment, and the method comprises the steps that a vehicle-mounted sensor collects thecurrent state information and path planning information of a vehicle, and transmits the collected information to a traffic control center through a road side unit; the traffic control center establishes an MILP optimization model for actively controlling multi-intersection signal timing according to the collected current state information and path planning information of each vehicle, and solvesthe optimization model to obtain a signal timing scheme; and the traffic control center transmits the signal timing scheme to each intersection annunciator, and each intersection annunciator correspondingly executes the signal timing scheme, so that the multi-intersection signal timing process is completed. Compared with the prior art, evolution of the current state and the future state of the individual level of the vehicle is considered, the method is not limited to fixed phase combination and phase sequence, multi-intersection signal timing precision cooperation can be achieved, and vehiclepassing delay is reduced.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic control, in particular to a multi-intersection signal timing system and a method thereof in a networked traffic environment. Background technique [0002] The urban road network carries the traffic demand of vehicles that change dynamically in time and space. Intersection signals are the key control means for allocating traffic flow rights in different directions at intersections. Signal timing (time ratio of red and green lights at intersections) directly determines The utilization efficiency of road resources directly affects the safety and efficiency of people's travel. The optimization of signal timing is mainly reflected in two levels: the adaptive optimization of dynamic demand at the level of single intersection, and the coordinated optimization of signals at the level of multiple intersections. [0003] The existing timing methods for single intersections are mostly based on t...

AI Technical Summary

Problems solved by technology

[0004] The above-mentioned traditional signal timing method is limited by traffic perception conditions, and the data sources based on it only include historical traffic conditions and aggregated traffic demand information (such as traffic flow, density, queuing, etc.) detected by fixed detectors. Disaggregated information for perception and prediction

Therefore, the signal timing is greatly limited by the existing phase combination and phase sequence framework, the optimization space is limited, it is difficult to fully adapt to the dynamically changing traffic demand, it is impossible to realize the refined traffic coordination control of multiple intersections, and it is easy to increase vehicle traffic delays , reduce the traffic efficiency of the road network

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