PSO-based optimization for isolated intersections signal timings and simulation

In this paper, based on the analyzing the signal control problem of single intersections, a kind of real-time optimization method with PSO (particle swarm optimization) solving signal timings for single intersection is put forward. On detecting the flow of current cycle and the cycle before, estimat...

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Bibliographic Details
Published in2008 International Conference on Machine Learning and Cybernetics Vol. 2; pp. 993 - 996
Main Authors Li-Guo Zhang, Yi-Ya Zhong, Zhen-Long Li, Yang-Zhou Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2008
Subjects
Biological system modeling
Circle
Four-phase intersection
Optimization
Particle swarm optimization
Petri nets
Real time systems
Signal control
Timing
Traffic flow
Vehicles
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Summary:In this paper, based on the analyzing the signal control problem of single intersections, a kind of real-time optimization method with PSO (particle swarm optimization) solving signal timings for single intersection is put forward. On detecting the flow of current cycle and the cycle before, estimating the flow of next circle is proceeded. Setting least delay as performance index, we get each phase time for the next cycle. A simulation experiment for the traffic model at a four-phase intersection is also performed. The result shows that the method is efficient.
ISBN:1424420954
9781424420957
ISSN:2160-133X
DOI:10.1109/ICMLC.2008.4620549