Level of Service Model of the Non-Motorized Vehicle Crossing the Signalized Intersection Based on Riders’ Perception Data

Xiaofei Ye, Yi Zhu, Tao Wang, Xingchen Yan, Jun Chen and Bin Ran
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Xiaofei Ye: Ningbo Port Trade Cooperation and Development Collaborative Innovation Center, Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China
Yi Zhu: Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China
Tao Wang: School of Architecture and Transportation, Guilin University of Electronic Technology, Guilin 541004, China
Xingchen Yan: College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China
Jun Chen: School of Transportation, Southeast University, Nanjing 211189, China
Bin Ran: Department of Civil and Environmental Engineering, University of Wisconsin–Madison, Madison, WI 53706, USA

IJERPH, 2022, vol. 19, issue 8, 1-17

Abstract: This article aims to analyze the factors affecting the LOS (level of service) of non-motorized vehicles crossing the signalized intersection and to construct an appropriate method to evaluate the LOS. Aiming at the mixed non-motorized traffic flow of electric vehicles and bicycles in the Chinese metropolis, the delay model in the highway capacity manual (HCM) was modified by taking two new factors into account: the pedestrian traffic rule compliance rate and the fuzzy perception of arrival rate in reality. The results show that the data obtained by the modified model are more consistent with the actual one. Next, a comparison was established between the linear regression method and cumulative logistic regression to determine the variables that affect the LOS, and finally, a LOS evaluation index system based on threshold schemes was defined. The recommended LOS model can provide corresponding references for traffic engineers who seek to improve the level of service in urban intersections.

Keywords: traffic engineering; non-motorized vehicles; delay; level of service (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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