A Method of Urban Road Network Signal Optimization Based on Second-Stream Theory

Abstract

The invention discloses an urban road network signal timing optimization method based on the second-rate theory, which is characterized in that, based on the traditional second-rate theory, a dynamic index T for measuring the operation status of the road network is proposed s / T, according to the vehicle flow of the road network and combined with the Webster signal timing method of a single intersection, a simple evaluation of the operation status of all intersections in the urban area road network, and signal timing optimization for intersections with congestion , this method helps to reduce congestion, improve the operational efficiency of the overall road network, reduce people's travel time and cost, and provide a valuable technical basis for regional signal control and intelligent traffic development. Monitoring the operation status of the road network in real time can effectively and reasonably optimize the signal timing of the road network, which is simple and easy to implement, and provides a new idea for regional signal timing, which has practical significance.

Description

technical field [0001] The invention relates to the research field of transportation planning and management, in particular to an urban road network signal optimization method based on second-rate theory. Background technique [0002] Urban residents cannot live without traffic, and congestion has become one of the most serious problems facing many cities. At present, the evaluation of road network operation status at home and abroad generally uses road service level, road congestion, lane occupancy rate, delay, travel speed and other indicators to quantitatively describe, although these indicators can reflect the average operation status of the road network over a period of time , but it cannot reflect the current specific information in real time or in a short period of time. [0003] In order to better describe the concentrated flow in the urban road network and use individual vehicles to reflect the overall road network conditions, Herman and Prigogine divided urban veh...

AI Technical Summary

Problems solved by technology

First of all, the evaluation and analysis of the current urban road network traffic conditions are mostly biased towards normal analysis and lack of dynamic research, especially the comparative analysis of the real-time operation status of the road network under different traffic demand matrices

Secondly, although the existing research describes the operation status of the road network from different angles and levels, there is a lack of scientific distinction between the research methods, and there are also deficiencies in the scope of application and application goals of each.

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