Adaptive control method for variable lane

An adaptive control and variable technology, applied in traffic signal control, neural learning methods, biological neural network models, etc., can solve the problem of low utilization of variable lanes

Inactive Publication Date: 2010-12-01
ZHEJIANG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned problem of low utilization rate of variable lanes, the present invention provides an adaptive control method for variable lanes that can effectively improve the utilization rate of variable lanes

Method used

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  • Adaptive control method for variable lane
  • Adaptive control method for variable lane
  • Adaptive control method for variable lane

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Embodiment Construction

[0057] The present invention will be further described below in conjunction with the accompanying drawings.

[0058] refer to Figure 1 ~ Figure 4 , a variable lane adaptive control method based on BP neural network, the variable lane adaptive control method comprises the following steps:

[0059] 1), the time occupancy rate when the variable lane is in the straight lane or the left-turn lane is used as the input of the BP neural network. The BP neural network includes an input layer, a hidden layer and an output layer. The training process is that each node of the network On the premise that the connection weights of the input layer are fixed, the output of each node is calculated layer by layer from the input layer, and then the output of each node in the output layer remains unchanged, and the connection is calculated layer by layer from the output layer in reverse. The modification amount of the weight; if the difference between the network output of the output layer and ...

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Abstract

The invention discloses an adaptive control method for a variable lane, which comprises the following steps of: 1) taking a time occupancy ratio detected by a detector arranged on a road as an input of a BP neural network, wherein the output vector of the BP neural network is O=Formula and is 0 or 1; and 2) performing variable lane control by the following processes of: 2.1) if the current variable lane attribute is straight and the output vector is 1, changing the variable lane attribute into left turning from straight when a next straight phase reaches; if the output vector is 0, keeping the current variable lane attribute unchangeable; and 2.2) if the current variable lane attribute is left turning and the output vector is 1, changing the variable lane attribute into straight from left turning when the next left turning phase reaches; and if the output vector is 0, keeping the left turning attribute of the variable lane unchangeable. The method can effectively improve the utilization rate of the variable lane.

Description

technical field [0001] The invention relates to a traffic control method, in particular to a variable lane adaptive control method. Background technique [0002] With the development of the economy, especially the rapid development of the urban economy, the number of urban motor vehicles has increased rapidly. Although urban roads and traffic facilities have also increased correspondingly, the growth rate of road facilities is far lower than that of motor vehicles. , resulting in a series of problems such as traffic congestion and environmental pollution. Especially during rush hour, the problem of traffic congestion caused by "tidal" traffic is even more serious. Essentially, the reason for this phenomenon is the contradiction between the dynamic change of traffic demand and the static road facilities. Fully excavating and rationally utilizing urban road resources is an effective means to alleviate urban traffic congestion. For this reason, many large and medium-sized ci...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/07G06N3/08
Inventor 董红召郭海锋傅立骏陈宁郭明飞凌越曹福灵马帅
Owner ZHEJIANG UNIV OF TECH
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