Research on Timing Optimization of Regional Traffic Signals based on Improved Genetic Algorithm

DOI

10.2991/iwmecs-18.2018.22How to use a DOI?

Keywords

Timing Optimization, Traffic Signals, Improved Genetic Algorithm

Abstract

Aiming at the problem that the signal timing schemes of the current intersections are isolated from each other and the optimization of the regional traffic control can not be effectively achieved, an optimal timing model for multi-intersection signal control schemes is proposed. The paper analyzes the characteristics of traffic flow at multiple intersections and simulates the controlled traffic flow between multiple intersections by using the cellular transmission model as a basic model. According to the characteristics of controlled parameters that affect traffic volume in multi-intersection road network and the analysis of traffic signal control accuracy and real-time requirements, an improved genetic algorithm is proposed. Combined with DIS-CO intersection numerical simulation software, the model in this paper is numerically simulated. The numerical simulation results show that the model can adapt to the change of traffic flow between intersections through time adjustment, and the average delay time of road vehicles is smaller than that of other schemes, which is an optimization model that can be adopted by real time controllers.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Anzhi Qi
PY  - 2018/04
DA  - 2018/04
TI  - Research on Timing Optimization of Regional Traffic Signals based on Improved Genetic Algorithm
BT  - Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SP  - 102
EP  - 105
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.22
DO  - 10.2991/iwmecs-18.2018.22
ID  - Qi2018/04
ER  -