Lingxiang Wei
Yancheng Institute of Technology, School of Materials Science and Engineering
Pengfei Zhao
Beijing University of Civil Engineering and Architecture
Yuxuan Li
Beijing University of Technology, Beijing Key Laboratory of Traffic Engineering
Yinjia Chen
Yancheng Institute of Technology, School of Materials Science and Engineering
Mingjun Liao
Yancheng Institute of Technology, School of Materials Science and Engineering
Mopeds (electric bicycles and light motorcycles) are commonly used as a personal transportation mode in China. However, the understanding of characteristics of left-turning mopeds at signal-controlled intersections has been relatively limited. To bridge this gap, firstly, this paper proposed a video conversion method of moped movement data acquisition. Then, a method of data accuracy verification was introduced by comparing the results between the field experiment and the video conversion method. Secondly, the ideal traffic space for left-turn mopeds from different entrances was defined to analyse the characteristics of the left-turning mopeds at intersections. Further, three indicators, namely, transverse distance, the proportion of left-turning mopeds with crossing behaviour, and the average number of avoidance behaviour, were proposed and used to analyse the asymmetrical characteristics behaviour, crossing behaviour, and avoidance behaviour. Finally, based on empirical data collected from five signal-controlled intersections, the proposed methods and behaviours were analysed. This paper provides both a valid method of obtaining the position data of mopeds and a reliable basis for improving the safety of left-turning moped riders at urban signal-controlled intersections.
Tal I, Ciubotaru B, Muntean GM. Vehicular-communications-based speed advisory system for electric bicycles. IEEE Transactions on Vehicular Technology. 2016;65(6): 4129-4143. DOI: 10.1109/TVT.2015.2442338
Wei L, et al. Comparison study on travel characteristics between two kinds of electric bike. Procedia - Social and Behavioral Sciences. 2013;96: 1603-1610. DOI: 10.1016/j.sbspro.2013.08.182
Shen JJ, Wang Q, Cao ZM. Correlation model between speed and density of electric bicycles at signalized intersections. Applied Mechanics & Materials. 2015; 744-746: 1803-1807. DOI: 10.4028/www.scientific.net/amm.744-746.1803
Muetze A, Tan Y. Electric bicycles - A performance evaluation. Industry Applications Magazine IEEE. 2007;13(4): 12-21. DOI: 10.1109/mia.2007.4283505
Yan X, et al. Electric bicycle cost calculation models and analysis based on the social perspective in China. Environmental Science & Pollution Research. 2018;25(20): 20193-20205. DOI: 10.1007/s11356-018-2150-8
Jones T, Har
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