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Safe following distance analysis for traffic cellular automata modelling

Following another vehicle too close is known as tailgating. Tailgater may not have enough space and time to avoid a collision. Thus there is a need for a fundamental understanding on factors affecting safe distance between vehicles. This paper aims to study such factors and to adopt certain rules an...

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Main Authors: Angeline, L., Choong, M. Y., Tan, Min Keng, Liau, Chung Fan, Chin, Renee Ka Yin, Teo, Kenneth Tze Kin
Format: Proceedings
Language:English
English
Published: IEEE Inc. 2019
Subjects:
QA299.6-433 Analysis
Online Access:https://eprints.ums.edu.my/id/eprint/31750/1/Safe%20following%20distance%20analysis%20for%20traffic%20cellular%20automata%20modelling.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31750/2/Safe%20following%20distance%20analysis%20for%20traffic%20cellular%20automata%20modelling.pdf
https://eprints.ums.edu.my/id/eprint/31750/
https://ieeexplore.ieee.org/document/9117482
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spelling my.ums.eprints.317502022-02-24T08:43:07Z https://eprints.ums.edu.my/id/eprint/31750/ Safe following distance analysis for traffic cellular automata modelling Angeline, L. Choong, M. Y. Tan, Min Keng Liau, Chung Fan Chin, Renee Ka Yin Teo, Kenneth Tze Kin QA299.6-433 Analysis Following another vehicle too close is known as tailgating. Tailgater may not have enough space and time to avoid a collision. Thus there is a need for a fundamental understanding on factors affecting safe distance between vehicles. This paper aims to study such factors and to adopt certain rules and principles into the proposed traffic cellular automata model. Rule of seconds is applied and some deductions are made to attain a realistic traffic model. The simulation also entail human reaction time in perceiving safe distance with the leading vehicle and the simulation results are as expected. However there is a trade off between reaction time and an optimum safe following distance. Hence ideal reaction time of 0.75s is selected to emulate real life traffic flow without deteriorating traffic stability. IEEE Inc. 2019-12 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/31750/1/Safe%20following%20distance%20analysis%20for%20traffic%20cellular%20automata%20modelling.ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/31750/2/Safe%20following%20distance%20analysis%20for%20traffic%20cellular%20automata%20modelling.pdf Angeline, L. and Choong, M. Y. and Tan, Min Keng and Liau, Chung Fan and Chin, Renee Ka Yin and Teo, Kenneth Tze Kin (2019) Safe following distance analysis for traffic cellular automata modelling. https://ieeexplore.ieee.org/document/9117482
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QA299.6-433 Analysis
spellingShingle QA299.6-433 Analysis
Angeline, L.
Choong, M. Y.
Tan, Min Keng
Liau, Chung Fan
Chin, Renee Ka Yin
Teo, Kenneth Tze Kin
Safe following distance analysis for traffic cellular automata modelling
description Following another vehicle too close is known as tailgating. Tailgater may not have enough space and time to avoid a collision. Thus there is a need for a fundamental understanding on factors affecting safe distance between vehicles. This paper aims to study such factors and to adopt certain rules and principles into the proposed traffic cellular automata model. Rule of seconds is applied and some deductions are made to attain a realistic traffic model. The simulation also entail human reaction time in perceiving safe distance with the leading vehicle and the simulation results are as expected. However there is a trade off between reaction time and an optimum safe following distance. Hence ideal reaction time of 0.75s is selected to emulate real life traffic flow without deteriorating traffic stability.
format Proceedings
author Angeline, L.
Choong, M. Y.
Tan, Min Keng
Liau, Chung Fan
Chin, Renee Ka Yin
Teo, Kenneth Tze Kin
author_facet Angeline, L.
Choong, M. Y.
Tan, Min Keng
Liau, Chung Fan
Chin, Renee Ka Yin
Teo, Kenneth Tze Kin
author_sort Angeline, L.
title Safe following distance analysis for traffic cellular automata modelling
title_short Safe following distance analysis for traffic cellular automata modelling
title_full Safe following distance analysis for traffic cellular automata modelling
title_fullStr Safe following distance analysis for traffic cellular automata modelling
title_full_unstemmed Safe following distance analysis for traffic cellular automata modelling
title_sort safe following distance analysis for traffic cellular automata modelling
publisher IEEE Inc.
publishDate 2019
url https://eprints.ums.edu.my/id/eprint/31750/1/Safe%20following%20distance%20analysis%20for%20traffic%20cellular%20automata%20modelling.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31750/2/Safe%20following%20distance%20analysis%20for%20traffic%20cellular%20automata%20modelling.pdf
https://eprints.ums.edu.my/id/eprint/31750/
https://ieeexplore.ieee.org/document/9117482
_version_ 1760230933740388352
score 13.211869

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