Crossing traffic jam judging and control method and system based on sensing detectors

Abstract

The invention discloses a crossing traffic jam judging and control method and system based on sensing detectors. The method includes the steps that according detection signals sent by the sensing detectors, a signal light control device calculates the traffic intensity of a crossing every other set statistic cycle, calculates the time occupancy for each sensing detector in a set time period every other set sampling cycle and further determines whether lanes where the sensing detectors are located are in the jam state or not, and if the crossing traffic intensity calculated in the current statistic cycle is judged to exceed a set traffic intensity threshold value and the lanes are in the jam state, the traffic condition of the crossing is judged to be the jam condition of queue overflow and traffic signal lights at the crossing are controlled according to a traffic signal light control scheme corresponding to the jam condition of the queue overflow. According to the method, the crossing jam condition is detected through the small invested cost and the small road jam area, the traffic signal lights at the crossing are controlled, and therefore the traffic circulation of vehicles at the crossing is guaranteed.

Description

technical field [0001] The invention relates to the field of traffic, in particular to a method and system for judging and controlling traffic congestion at intersections based on inductive detectors. Background technique [0002] With the continuous advancement of the urbanization process, the number of motor vehicles has increased rapidly, and urban traffic congestion has become increasingly serious. In order to ensure the normal operation of vehicles between urban roads, traffic signal control at intersections is particularly important. [0003] At present, with the development of intelligent transportation, the control of traffic lights has gradually changed from a fixed mode (the signal phase release time and order of intersections remain unchanged) to a dynamic adaptive mode. Optimize the traffic signal light control scheme, so as to relieve the traffic pressure at the intersection, reduce the congestion at the intersection, and ensure the vehicle traffic at the inter...

AI Technical Summary

Problems solved by technology

However, this detection method cannot effectively identify the congestion state of the intersection, such as the congestion state of queuing overflow

[0005] Therefore, in order to detect whether there is a congestion state such as queuing overflow at the intersection, the detection method of the prior art usually needs to arrange a coil detector at the upstream section of the exit road or the intersection for detection; however, the detection method detection equipment and construction investment cost are high, Increased broken area

[0006] To sum up, the traffic signal light control method in the prior art is either unable to effectively identify the congestion state at the intersection, or the input cost required to detect the congestion state at the intersection is relatively high, and the area of ​​broken roads is relatively large

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