Multi-objective Signal Timing Model of Single Intersection Based on Genetic Algorithm
Zhuoqun Wang, Yufei Hou, Qin Luo, Min Yan, Yiming Zhang
Available Online April 2017.
- https://doi.org/10.2991/amsce-17.2017.32How to use a DOI?
- single-intersection; signal timing; genetic algorithm; Matlab
- Intersection is an important component of the urban transport network. It is the main place where traffic congestion usually takes place. One of the key to solve urban transport problems is to organize the traffic in intersection reasonably and effectively.This paper learned the theory of signal control based on single intersection and then respectively set up different multi-objective optimization models according to high or low lane saturability.The paper aims to decrease the amount of vehicle delay and reduce the parking rate. The model is carried out through genetic algorithm based on Matlab. A case is shown that the methods of optimization models and genetic algorithm are effective and feasible.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhuoqun Wang AU - Yufei Hou AU - Qin Luo AU - Min Yan AU - Yiming Zhang PY - 2017/04 DA - 2017/04 TI - Multi-objective Signal Timing Model of Single Intersection Based on Genetic Algorithm PB - Atlantis Press SP - 138 EP - 141 SN - 2352-5401 UR - https://doi.org/10.2991/amsce-17.2017.32 DO - https://doi.org/10.2991/amsce-17.2017.32 ID - Wang2017/04 ER -