Modeling electric bicycle’s lane-changing and retrograde behaviors

Tie-Qiao Tang, Xiao-Feng Luo, Jian Zhang and Liang Chen

Physica A: Statistical Mechanics and its Applications, 2018, vol. 490, issue C, 1377-1386

Abstract: Recently, electric bicycle (EB) has been one important traffic tool due to its own merits. However, EB’s motion behaviors (especially at a signalized/non-signalized intersection) are more complex than those of vehicle since it always has lane-changing and retrograde behaviors. In this paper, we propose a model to explore EB’s lane-changing and retrograde behaviors on a road with a signalized intersection. The numerical results indicate that the proposed model can qualitatively describe each EB’s lane-changing and retrograde behaviors near a signalized intersection, and that lane-changing and retrograde behaviors have prominent impacts on the signalized intersection (i.e., prominent jams and congestions occur). The above results show that EB should be controlled as a vehicle, i.e., lane-changing and retrograde behaviors at a signalized intersection should strictly be prohibited to improve the operational efficiency and traffic safety at the signalized intersection.

Keywords: Electric bicycle; Cellular automaton model; Lane-changing; Retrograde; 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 (42)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:490:y:2018:i:c:p:1377-1386

DOI: 10.1016/j.physa.2017.08.107

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