Safe following distance analysis for traffic cellular automata modelling

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.

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Abstract

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.

Item Type: Proceedings
Keyword: Safe following distance , Safety margin , Rule of seconds , Traffic modelling , Cellular automata
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics > QA299.6-433 Analysis
Department: FACULTY > Faculty of Engineering
Depositing User: DG MASNIAH AHMAD -
Date Deposited: 24 Feb 2022 16:43
Last Modified: 24 Feb 2022 16:43
URI: https://eprints.ums.edu.my/id/eprint/31750

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