Green Wave Control Method on Urban Arterial Roads

Abstract

The invention provides an arterial road green wave control method. The arterial road green wave control method is characterized by including the steps: building an arterial road dynamic green wave control model, and optimizing total delay time of vehicles passing through each road crossing by taking green time ratios of arterial road crossings under signal linkage control as variables; selecting multiple road crossings under signal linkage control and detecting real-time traffic flow of road segments among the arterial road crossings; solving the model according to the real-time traffic flow to obtain the green time ratio, shortest in total delay time, of each road crossing; making real-time timing plans according to the green time ratio of each road crossing. Traffic smooth rate can be increased by the arterial road green wave control method.

Description

technical field [0001] The invention relates to a method for controlling green waves on urban arterial roads, belonging to the field of coordinated control of urban arterial roads. Background technique [0002] With the development of society and economy, there are more and more means of transportation in the city. In the urban road network, traffic lights are set at almost every intersection. Since the intersections are close to each other, when the single-point signal control is carried out separately, the vehicles often stop and drive because they often encounter red lights, which leads to traffic problems such as low efficiency of road network operation, aggravated environmental pollution, and energy waste. In order to reduce the parking time of vehicles at various intersections, especially to enable the vehicles on the main road to run smoothly, it is considered to unify a group of adjacent traffic signals on one main road for coordinated control, so as to reduce traffi...

AI Technical Summary

Problems solved by technology

[0004] At present, the green wave control of urban arterial roads is based on recent or current traffic volume survey data, and is limited to static traffic conditions. If the traffic flow on arterial roads changes during the same period, the time setting of traffic lights at intersections cannot meet the needs of vehicles. As a result, vehicles encounter more red lights in the process of passing, causing them to be delayed at intersections for too long, which exacerbates the problem of traffic congestion

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