Abstract
A signal control intersection increases not only vehicle delay, but also capacity reduction in that area. Because more and more fuel and air pollution problems arise recently, an intersection signal control optimization method which aims at reducing vehicle delay, improving capacity is required heavily. This paper proposed a signal control multi-object optimization method to reduce vehicle delay and improve intersection capacity simultaneously at an intersection by using the Genetic Algorithm (GA). Data regarding traffic stream parameters, signal timing details and delay to vehicles are collected from an intersection in Shanghai, Hu Cheng Huan road. The result of the case study shows the optimal timing scheme obtained from this method is better than the observed one.
| Original language | English |
|---|---|
| Pages (from-to) | 14-23 |
| Number of pages | 10 |
| Journal | Memoirs of the Faculty of Engineering, Kyushu University |
| Volume | 78 |
| Issue number | 4 |
| Publication status | Published - Dec 12 2018 |
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All Science Journal Classification (ASJC) codes
- Energy(all)
- Atmospheric Science
- Earth and Planetary Sciences(all)
- Management of Technology and Innovation
Cite this
Multi-objective optimization of intersection signal time based on genetic algorithm. / Liu, Mingwei; Oeda, Yoshinao; Sumi, Tomonori.
In: Memoirs of the Faculty of Engineering, Kyushu University, Vol. 78, No. 4, 12.12.2018, p. 14-23.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Multi-objective optimization of intersection signal time based on genetic algorithm
AU - Liu, Mingwei
AU - Oeda, Yoshinao
AU - Sumi, Tomonori
PY - 2018/12/12
Y1 - 2018/12/12
N2 - A signal control intersection increases not only vehicle delay, but also capacity reduction in that area. Because more and more fuel and air pollution problems arise recently, an intersection signal control optimization method which aims at reducing vehicle delay, improving capacity is required heavily. This paper proposed a signal control multi-object optimization method to reduce vehicle delay and improve intersection capacity simultaneously at an intersection by using the Genetic Algorithm (GA). Data regarding traffic stream parameters, signal timing details and delay to vehicles are collected from an intersection in Shanghai, Hu Cheng Huan road. The result of the case study shows the optimal timing scheme obtained from this method is better than the observed one.
AB - A signal control intersection increases not only vehicle delay, but also capacity reduction in that area. Because more and more fuel and air pollution problems arise recently, an intersection signal control optimization method which aims at reducing vehicle delay, improving capacity is required heavily. This paper proposed a signal control multi-object optimization method to reduce vehicle delay and improve intersection capacity simultaneously at an intersection by using the Genetic Algorithm (GA). Data regarding traffic stream parameters, signal timing details and delay to vehicles are collected from an intersection in Shanghai, Hu Cheng Huan road. The result of the case study shows the optimal timing scheme obtained from this method is better than the observed one.
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M3 - Article
AN - SCOPUS:85069716545
VL - 78
SP - 14
EP - 23
JO - Memoirs of the Faculty of Engineering, Kyushu University
JF - Memoirs of the Faculty of Engineering, Kyushu University
SN - 1345-868X
IS - 4
ER -