遺伝的アルゴリズムを用いた交通信号機オフセットの最適化問題に対する研究

Takumi Fukuda; Sei Takahashi; Hiroshi Mochizuki; Hideo Nakamura; Hiroshi Kazama

doi:10.1541/ieejias.145.64

遺伝的アルゴリズムを用いた交通信号機オフセットの最適化問題に対する研究

Translated title of the contribution: A Study of Optimization Problem of Traffic Signal Offset Using Genetic Algorithm

Takumi Fukuda
, Sei Takahashi
, Hiroshi Mochizuki
, Hideo Nakamura
, Hiroshi Kazama

College of Science and Technology

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, the offset control of traffic signals is considered using GA. From a practical standpoint, we show results of research on the following issues: (1) shortening the search time, (2) deriving a leveled optimal solution focusing on the upward/downward traffic flow, and (3) examining the derivation method of a better solution. Furthermore, we report the efficiency of GA-neighbor searching method for optimal solution, and utility of a normalized ATT (Average Traffic Time) for the general evaluation.

Translated title of the contribution	A Study of Optimization Problem of Traffic Signal Offset Using Genetic Algorithm
Original language	Japanese
Pages (from-to)	64-71
Number of pages	8
Journal	IEEJ Transactions on Industry Applications
Volume	145
Issue number	2
DOIs	https://doi.org/10.1541/ieejias.145.64
Publication status	Published - 1 Feb 2025

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title = "遺伝的アルゴリズムを用いた交通信号機オフセットの最適化問題に対する研究",

abstract = "In this paper, the offset control of traffic signals is considered using GA. From a practical standpoint, we show results of research on the following issues: (1) shortening the search time, (2) deriving a leveled optimal solution focusing on the upward/downward traffic flow, and (3) examining the derivation method of a better solution. Furthermore, we report the efficiency of GA-neighbor searching method for optimal solution, and utility of a normalized ATT (Average Traffic Time) for the general evaluation.",

keywords = "GA (Genetic algorithm), GA-neighbor searching method, normalized ATT (Average Traffic Time), offset control",

author = "Takumi Fukuda and Sei Takahashi and Hiroshi Mochizuki and Hideo Nakamura and Hiroshi Kazama",

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AU - Mochizuki, Hiroshi

AU - Nakamura, Hideo

AU - Kazama, Hiroshi

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N2 - In this paper, the offset control of traffic signals is considered using GA. From a practical standpoint, we show results of research on the following issues: (1) shortening the search time, (2) deriving a leveled optimal solution focusing on the upward/downward traffic flow, and (3) examining the derivation method of a better solution. Furthermore, we report the efficiency of GA-neighbor searching method for optimal solution, and utility of a normalized ATT (Average Traffic Time) for the general evaluation.

AB - In this paper, the offset control of traffic signals is considered using GA. From a practical standpoint, we show results of research on the following issues: (1) shortening the search time, (2) deriving a leveled optimal solution focusing on the upward/downward traffic flow, and (3) examining the derivation method of a better solution. Furthermore, we report the efficiency of GA-neighbor searching method for optimal solution, and utility of a normalized ATT (Average Traffic Time) for the general evaluation.

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KW - normalized ATT (Average Traffic Time)

KW - offset control

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IS - 2

ER -

遺伝的アルゴリズムを用いた交通信号機オフセットの最適化問題に対する研究

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