Networked hierarchical bus priority signal coordination control method

Abstract

The invention discloses a networked hierarchical bus priority signal coordination control method, which comprises the following steps that: a central organization layer decomposes a traffic signal control task, sends a signal coordination control target to a regional coordination layer, and schedules a signal control algorithm according to an intersection control effect learning result; the regional coordination layer judges whether to adjust a signal control algorithm of a field execution layer according to the control target of the central organization layer by combining a traffic congestion improvement trend of each intersection of the field execution layer, the maximum congestion level difference of each phase of adjacent intersections and bus delay conditions in the region, computes the maximum green time of each phase of the intersections in the region, and adjusts signal timing of each phase in a timing control period of each intersection according to a ratio of the maximum green time; and the field execution layer runs a default timing signal control algorithm, receives fuzzy control and inductive control added with bus priority support and a queue length signal control algorithm to control bus priority signals, and performs coordination control through networked hierarchical signals.

Description

technical field [0001] The invention belongs to the technical field of traffic signal control, and relates to a networked layered and hierarchical bus priority signal coordination control method. Background technique [0002] Vigorously developing public transportation is an important means to solve traffic congestion in large and medium-sized cities, and it helps to improve the environment, save energy and reduce emissions. As one of the development directions of public transportation, bus priority has been widely valued. The design of signal control system with bus signal priority function has a high cost-effectiveness ratio, and it is an important measure for the development of public transportation in various countries. [0003] In the existing bus priority system design, most of them are designed for a given bus line, and the signal timing is optimized offline. In the phase control method of signal priority, the green light extension and green light advance methods are ...

AI Technical Summary

Problems solved by technology

However, due to commercial confidentiality, these systems cannot open interfaces, and most of them need to conduct a large number of investigations on different traffic environments, which are implemented by professionals. They lack customizability, adaptability, and intelligence for different traffic environments, and cannot well meet the requirements of traffic conditions. The needs of my country's unique and complex traffic environment

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