Original scientific paper
https://doi.org/10.7307/ptt.v33i4.3740
Behaviour Analysis of Left-Turning Mopeds at Signal Controlled Intersections – A Case Study in Yancheng City
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
Abstract
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.
Keywords
traffic engineering; riding behaviour; left-turning moped traffic flow; signal-controlled intersection
Hrčak ID:
270914
URI
Publication date:
6.8.2021.
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