research-article

Signal Timing Simulation of Single Intersection based on Fuzzy-Genetic Algorithm

Authors:

Wang ZhuoqunAuthors Info & Claims

ICCMS '18: Proceedings of the 10th International Conference on Computer Modeling and Simulation

Pages 28 - 32

https://doi.org/10.1145/3177457.3177496

Published: 08 January 2018 Publication History

Abstract

Intersection is an important component of the urban transport network, in where traffic congestion usually takes place. One of the key to solve urban transport problems is to organize the traffic in the intersection reasonably and effectively. This paper does research on a specific single intersection, using the video traffic data collection technology, considering signal cycle and phase time which are decided by a real-time traffic flow. The paper developed a self-adaptive timing model on the single target constraint to reduce intersection delay. The model is carried out through fuzzy-genetic algorithm. Matlab simulation analysis and a series of comparison show that the methods of optimization models and genetic algorithm are effective and feasible.

References

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Cited By

Kuang LZheng JLi KGao H(2021)Intelligent Traffic Signal Control Based on Reinforcement Learning with State Reduction for Smart CitiesACM Transactions on Internet Technology10.1145/341868221:4(1-24)Online publication date: 22-Jul-2021
https://dl.acm.org/doi/10.1145/3418682

Index Terms

Signal Timing Simulation of Single Intersection based on Fuzzy-Genetic Algorithm
1. Applied computing
  1. Operations research
    1. Transportation
2. Computing methodologies
  1. Modeling and simulation
    1. Simulation evaluation

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ICCMS '18: Proceedings of the 10th International Conference on Computer Modeling and Simulation

January 2018

310 pages

ISBN:9781450363396

DOI:10.1145/3177457

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Canberra: University of Canberra
University of Technology Sydney

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Association for Computing Machinery

New York, NY, United States

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Published: 08 January 2018

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ICCMS 2018

ICCMS 2018: The 10th International Conference on Computer Modeling and Simulation

January 8 - 10, 2018

Sydney, Australia

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Cited By

Kuang LZheng JLi KGao H(2021)Intelligent Traffic Signal Control Based on Reinforcement Learning with State Reduction for Smart CitiesACM Transactions on Internet Technology10.1145/341868221:4(1-24)Online publication date: 22-Jul-2021
https://dl.acm.org/doi/10.1145/3418682

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