中文

Operations Research Transactions >

2015 , Vol. 19 >Issue 3: 71 - 77

DOI: https://doi.org/10.15960/j.cnki.issn.1007-6093.2015.03.009

An optimized urban traffic signal field control algorithm based on pseudo neural network

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  • 1.  College of Mathematics and Information Science, Wenzhou University, Wenzhou 325035, Zhejiang, China

Received date: 2015-05-04

  Online published: 2015-09-15

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Abstract

We propose an optimization model and its corresponding parallel algorithm for optimized signal-planning. Based on a local enumeration method, the algorithm adds a virtual guiding penalty, which is derived from the traffic weight. This makes the algorithm has a global spatial and temporal optimized property. In the situation of saturated or over-saturated traffic status, this algorithm outperforms the traditional single-point intersection control method.

Key words： neural network; signal timing optimization; dynamictraffic weight; parallel algorithm

Cite this article

HUANG Jiaqian, HONG Zhenjie, FAN Jinsong . An optimized urban traffic signal field control algorithm based on pseudo neural network[J]. Operations Research Transactions, 2015 , 19(3) : 71 -77 . DOI: 10.15960/j.cnki.issn.1007-6093.2015.03.009

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