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Commuter bus operation rules under two traffic scenarios and two weather conditions: Naturalistic driving study on vehicle speed and clearance

This study provides insights into the building of environmentally and socially sustainable and livable cities by investigating commuter buses' vehicle speed and clearance, considering two traffic scenarios (working days and weekends) and two weather conditions on urban roads. Thirty participant...

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Main Authors: Huang, Qiuju, Feng, Shumin, Zhang, Guosheng, Zhang, Yu, Harumain, Yong Adilah Shamsul
Format: Article
Published: MDPI 2022
Subjects:
GE Environmental Sciences
GF Human ecology. Anthropogeography
Q Science (General)
T Technology (General)
Online Access:http://eprints.um.edu.my/33413/
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spelling my.um.eprints.334132022-08-04T01:47:01Z http://eprints.um.edu.my/33413/ Commuter bus operation rules under two traffic scenarios and two weather conditions: Naturalistic driving study on vehicle speed and clearance Huang, Qiuju Feng, Shumin Zhang, Guosheng Zhang, Yu Harumain, Yong Adilah Shamsul GE Environmental Sciences GF Human ecology. Anthropogeography Q Science (General) T Technology (General) This study provides insights into the building of environmentally and socially sustainable and livable cities by investigating commuter buses' vehicle speed and clearance, considering two traffic scenarios (working days and weekends) and two weather conditions on urban roads. Thirty participants drove ten different routes during natural driving. The drivers were observed under the following traffic conditions: free flow (Grade I), steady flow (Grades II and III), unsteady flow (Grade IV), working days and weekends, and sunny and heavy snow weather. A method for collecting accurate traffic flow data was developed using a radar sensor to measure the real-time distance between vehicles. The real-time vehicle spacing and speed were detected using a radar sensor and a mobile app, respectively. The results showed that speed decreased obviously from 11.2% to 16.5% on working days compared to a similar situation on weekends, especially in heavy snow weather (from 33.8% to 40.7%). The lowest average speed was obtained in the traffic environment Grade IV. Commuter buses maintained a minimum vehicle clearance during working or heavy snow days in traffic environment Grade IV. Policymakers should consider the insights of this study to develop new, dynamic commuter schedules under diverse conditions. MDPI 2022-02 Article PeerReviewed Huang, Qiuju and Feng, Shumin and Zhang, Guosheng and Zhang, Yu and Harumain, Yong Adilah Shamsul (2022) Commuter bus operation rules under two traffic scenarios and two weather conditions: Naturalistic driving study on vehicle speed and clearance. Sustainability, 14 (4). ISSN 2071-1050, DOI https://doi.org/10.3390/su14042473 <https://doi.org/10.3390/su14042473>. 10.3390/su14042473
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic GE Environmental Sciences
GF Human ecology. Anthropogeography
Q Science (General)
T Technology (General)
spellingShingle GE Environmental Sciences
GF Human ecology. Anthropogeography
Q Science (General)
T Technology (General)
Huang, Qiuju
Feng, Shumin
Zhang, Guosheng
Zhang, Yu
Harumain, Yong Adilah Shamsul
Commuter bus operation rules under two traffic scenarios and two weather conditions: Naturalistic driving study on vehicle speed and clearance
description This study provides insights into the building of environmentally and socially sustainable and livable cities by investigating commuter buses' vehicle speed and clearance, considering two traffic scenarios (working days and weekends) and two weather conditions on urban roads. Thirty participants drove ten different routes during natural driving. The drivers were observed under the following traffic conditions: free flow (Grade I), steady flow (Grades II and III), unsteady flow (Grade IV), working days and weekends, and sunny and heavy snow weather. A method for collecting accurate traffic flow data was developed using a radar sensor to measure the real-time distance between vehicles. The real-time vehicle spacing and speed were detected using a radar sensor and a mobile app, respectively. The results showed that speed decreased obviously from 11.2% to 16.5% on working days compared to a similar situation on weekends, especially in heavy snow weather (from 33.8% to 40.7%). The lowest average speed was obtained in the traffic environment Grade IV. Commuter buses maintained a minimum vehicle clearance during working or heavy snow days in traffic environment Grade IV. Policymakers should consider the insights of this study to develop new, dynamic commuter schedules under diverse conditions.
format Article
author Huang, Qiuju
Feng, Shumin
Zhang, Guosheng
Zhang, Yu
Harumain, Yong Adilah Shamsul
author_facet Huang, Qiuju
Feng, Shumin
Zhang, Guosheng
Zhang, Yu
Harumain, Yong Adilah Shamsul
author_sort Huang, Qiuju
title Commuter bus operation rules under two traffic scenarios and two weather conditions: Naturalistic driving study on vehicle speed and clearance
title_short Commuter bus operation rules under two traffic scenarios and two weather conditions: Naturalistic driving study on vehicle speed and clearance
title_full Commuter bus operation rules under two traffic scenarios and two weather conditions: Naturalistic driving study on vehicle speed and clearance
title_fullStr Commuter bus operation rules under two traffic scenarios and two weather conditions: Naturalistic driving study on vehicle speed and clearance
title_full_unstemmed Commuter bus operation rules under two traffic scenarios and two weather conditions: Naturalistic driving study on vehicle speed and clearance
title_sort commuter bus operation rules under two traffic scenarios and two weather conditions: naturalistic driving study on vehicle speed and clearance
publisher MDPI
publishDate 2022
url http://eprints.um.edu.my/33413/
_version_ 1740826029414416384
score 13.211869

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