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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| التنسيق: | Proceedings |
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IEEE Inc.
2019
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| الوصول للمادة أونلاين: | 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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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 |
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UMS Library |
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Malaysia |
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Universiti Malaysia Sabah |
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http://eprints.ums.edu.my/ |
| language |
English English |
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QA299.6-433 Analysis |
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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 |
13.251813 |