Presentation 2021-12-10
A study on the optimal offset search method for traffic signals by GA with initial population generated based on standard road length
Minoru Takahashi, Takumi Fukuda, Hiroshi Mochizuki, Sei Takahashi, Hideo Nakamura, Hiroshi Kazama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) To ensure the smooth running of automobile on public roads, systematic control of traffic signal offsets is necessary. We have been investigating the optimal offset pattern search using genetic algorithms (GAs). In this study, we focused on the initial population generation method of GA. For the initial population, the offset pattern is generated using the standard road length that can be calculated from the cycle length and driving speed. In addition, an offset pattern is generated by adding a uniform value to the offsets of all intersections, and a total of 30 individuals are used as the initial population to search for a better solution.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Traffic signal / Offset / Genetic Algorithm / Optimization / Initial population
Paper # DC2021-60
Date of Issue 2021-12-03 (DC)

Conference Information
Committee DC
Conference Date 2021/12/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hiroshi Takahashi(Ehime Univ.)
Vice Chair Tatsuhiro Tsuchiya(Osaka Univ.)
Secretary Tatsuhiro Tsuchiya(Nihon Univ.)
Assistant

Paper Information
Registration To Technical Committee on Dependable Computing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on the optimal offset search method for traffic signals by GA with initial population generated based on standard road length
Sub Title (in English)
Keyword(1) Traffic signal
Keyword(2) Offset
Keyword(3) Genetic Algorithm
Keyword(4) Optimization
Keyword(5) Initial population
1st Author's Name Minoru Takahashi
1st Author's Affiliation Nihon University(Nihon Univ.)
2nd Author's Name Takumi Fukuda
2nd Author's Affiliation Nihon University(Nihon Univ.)
3rd Author's Name Hiroshi Mochizuki
3rd Author's Affiliation Nihon University(Nihon Univ.)
4th Author's Name Sei Takahashi
4th Author's Affiliation Nihon University(Nihon Univ.)
5th Author's Name Hideo Nakamura
5th Author's Affiliation The University of Tokyo(UTokyo)
6th Author's Name Hiroshi Kazama
6th Author's Affiliation Kyosan Electric(Kyosan)
Date 2021-12-10
Paper # DC2021-60
Volume (vol) vol.121
Number (no) DC-293
Page pp.pp.30-33(DC),
#Pages 4
Date of Issue 2021-12-03 (DC)