ACP-based parallel traffic signal light real time control method

Abstract

The invention discloses an ACP-based parallel traffic signal light real time control method. The method includes steps of 1, constructing a traffic flow data collection system and a data base for an isolated intersection; 2, constructing an artificial signal light system; 3, importing real time traffic flow data collected by the data collection system to a computation test platform and obtaining a real time timing plan through computation; 4, loading a computation test result to an actual traffic signal light system through a parallel execution method so as to realize induction intervention on real time traffic flows; 5, constructing an intersection state evaluation system. Traffic light timing in the invention has the following characteristics. First, a time varying domain theory is applied to the computation test process and a membership function of a fuzzy set is subjected to real time adjustment according to periodical change. Second, the timing scheme in the invention is real time and the timing period and time lengths of different phases adapt to conditions of the traffic flows. Third, system decision efficiency is improved through computation test of the artificial system.

Description

technical field [0001] The invention relates to the field of intelligent traffic, in particular to an ACP-based real-time control method for parallel traffic lights. Background technique [0002] With the rapid development of social economy, urban vehicles continue to increase, and the traffic system is becoming more and more complex. The randomness and unpredictability of the behavior of pedestrians and motor vehicles make it difficult for people to establish accurate mathematical models. Good results. For intersections where vehicles and pedestrians are concentrated, the problem is particularly obvious, which is a high-occurrence area of ​​congestion in the entire urban road traffic. Various traffic flows (motor vehicles, non-motor vehicles and pedestrians) repeatedly merge, diverge and cross at level intersections, making the traffic conditions extremely complex, so urban traffic congestion is often manifested at intersections, improving its traffic efficiency is the ke...

AI Technical Summary

Problems solved by technology

However, most of the traditional signal light control adopts the method of fixed signal cycle, fixed duration and fixed phase conversion sequence, which cannot control the intersection signal in real time and economically, so that the phenomenon of "green light, no car, red light blocking" occurs from time to time, sooner or later Peak hours and holidays are more obvious

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