A self-healing control method for intersections aimed at sudden changes in traffic flow in some lanes

A control method and intersection technology, which is applied to control traffic signals and other directions, and can solve problems such as poor comprehensive evaluation results.

Active Publication Date: 2018-06-26
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
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Problems solved by technology

When all indicators are close to 1, the operation of the system is considered to be coordinated, but the overall evaluation result is poor

Method used

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  • A self-healing control method for intersections aimed at sudden changes in traffic flow in some lanes
  • A self-healing control method for intersections aimed at sudden changes in traffic flow in some lanes
  • A self-healing control method for intersections aimed at sudden changes in traffic flow in some lanes

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Embodiment Construction

[0037] Below in conjunction with accompanying drawing and specific embodiment the technical solution of the present invention is described in further detail:

[0038] Such as figure 1 As shown, the present invention has designed the self-healing control method of the road intersection traffic control system based on the extremely small index evaluation method, BP neural network and particle swarm optimization algorithm, and the VISSIM simulation model of the four-phase intersection studied is as follows figure 2 shown.

[0039] 1. The solution method for the comprehensive evaluation index of the operation status of the four-phase road intersection

[0040] 1) Selection of three traffic evaluation indicators:

[0041] Saturation is one of the most important indicators of road service level, and the calculation formula is q / c, where q is the vehicle arrival rate and c is the traffic capacity. The larger the saturation value, the worse the service level of the road. In the p...

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Abstract

The invention discloses an intersection self-healing control method for parts of lane flow mutation. The intersection self-healing control method includes the steps that a plurality of evaluation indexes are used at the same time to evaluate and analyze the operation condition of intersection traffic, and based on mini-evaluation indexes and a BP neural network, the operation condition grades of intersections under the different conditions are more completely and accurately determined; then traffic signals of the road intersections are optimized and controlled according to operation condition grades of the obtained intersections. The traffic operation conditions of the intersections are monitored in real time, an intersection signal control system can adjust the traffic signals according to the real-time traffic operation conditions, and the intersections are more unblocked accordingly; by means of the method, self-healing control of a signal control system of urban road intersections with parts of large-variation lane flow can be achieved.

Description

technical field [0001] The present invention relates to an intersection self-healing control method for sudden changes in traffic flow in some lanes, in particular to a self-healing control system for road intersection traffic control systems based on a very small index evaluation method, BP neural network and particle swarm optimization algorithm method. Background technique [0002] Road sections and intersections constitute the urban road system, and intersections are the key to urban traffic. Since traffic flow in different directions produces a series of traffic behaviors at the intersection, the intersection restricts the traffic capacity of the road and is also the most prone to traffic accidents. Therefore, the key to solving road traffic problems is to realize effective management of intersections. The traditional traffic signal control system uses fixed timing, which generally has a fixed control cycle, and cannot change the timing of each direction in real time ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/08
CPCG08G1/08
Inventor 陈复扬郭健
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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