Modeling electric bicycle’s abnormal behavior at a signalized intersection

Hui Ou, Tie-Qiao Tang, Ying-Xu Rui and Jie-Ming Zhou

Physica A: Statistical Mechanics and its Applications, 2018, vol. 511, issue C, 218-231

Abstract: Recently, electric bicycle (EB) has been an important traffic tool in China. However, EB has some abnormal behaviors (e.g., retrograde, red-light running) in urban traffic system due to its own merits. Little effort has been made to explore the EB’s abnormal behaviors. In this paper, we propose a cellular automaton (CA) model to explore the effects of the EB’s abnormal behaviors on the operational efficiency at a signalized intersection. The numerical results indicate that the EB’s abnormal behaviors have prominent negative impacts on the operational efficiency at a signalized intersection (i.e., the two behaviors will reduce the operational efficiency) and that the impacts are dependent on the proportion of the EBs with the two abnormal behaviors. The results can help us better manage the EB’s behaviors (especially at a signalized intersection).

Keywords: Electric bicycle; Cellular automaton model; Retrograde; Red-light running; Signalized intersection (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:511:y:2018:i:c:p:218-231

DOI: 10.1016/j.physa.2018.06.054

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