Can I Trust You? Estimation Models for e-Bikers Stop-Go Decision before Amber Light at Urban Intersection
Joint Authors
Cai, Jing
Zhao, Jianyou
Xiang, Yusheng
Liu, Jing
Chen, Gang
Hu, Yueqi
Chen, Jianhua
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-24
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Electric bike (e-bike) riders’ inappropriate go-decision, yellow-light running (YLR), could lead to accidents at intersection during the signal change interval.
Given the high YLR rate and casualties in accidents, this paper aims to investigate the factors influencing the e-bikers’ go-decision of running against the amber signal.
Based on 297 cases who made stop-go decisions in the signal change interval, two analytical models, namely, a base logit model and a random parameter logit model, were established to estimate the effects of contributing factors associated with e-bikers’ YLR behaviours.
Besides the well-known factors, we recommend adding approaching speed, critical crossing distance, and the number of acceleration rate changes as predictor factors for e-bikers’ YLR behaviours.
The results illustrate that the e-bikers’ operational characteristics (i.e., approaching speed, critical crossing distance, and the number of acceleration rate change) and individuals’ characteristics (i.e., gender and age) are significant predictors for their YLR behaviours.
Moreover, taking effects of unobserved heterogeneities associated with e-bikers into consideration, the proposed random parameter logit model outperforms the base logit model to predict e-bikers’ YLR behaviours.
Providing remarkable perspectives on understanding e-bikers’ YLR behaviours, the predicting probability of e-bikers’ YLR violation could improve traffic safety under mixed traffic and fully autonomous driving condition in the future.
American Psychological Association (APA)
Cai, Jing& Zhao, Jianyou& Xiang, Yusheng& Liu, Jing& Chen, Gang& Hu, Yueqi…[et al.]. 2020. Can I Trust You? Estimation Models for e-Bikers Stop-Go Decision before Amber Light at Urban Intersection. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1175924
Modern Language Association (MLA)
Cai, Jing…[et al.]. Can I Trust You? Estimation Models for e-Bikers Stop-Go Decision before Amber Light at Urban Intersection. Journal of Advanced Transportation No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1175924
American Medical Association (AMA)
Cai, Jing& Zhao, Jianyou& Xiang, Yusheng& Liu, Jing& Chen, Gang& Hu, Yueqi…[et al.]. Can I Trust You? Estimation Models for e-Bikers Stop-Go Decision before Amber Light at Urban Intersection. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1175924
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175924