Operations Research Transactions ›› 2015, Vol. 19 ›› Issue (3): 71-77.doi: 10.15960/j.cnki.issn.1007-6093.2015.03.009
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HUANG Jiaqian1, HONG Zhenjie1, FAN Jinsong1,*
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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
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.
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URL: https://www.ort.shu.edu.cn/EN/10.15960/j.cnki.issn.1007-6093.2015.03.009
https://www.ort.shu.edu.cn/EN/Y2015/V19/I3/71