A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks
A critical safety problem in road networks is the conflicts on unsignalized crosswalks. Thus, a proactive approach to assess pedestrian safety performance is required. Simulating the microscopic road user behavior in a virtual platform is one of the typical approaches. However, current simulation to...
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ftqataruniv:oai:qspace.qu.edu.qa:10576/35298 2023-05-15T18:06:14+02:00 A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks Zhu, Hong Almukdad, Abdulkarim Iryo-Asano, Miho Alhajyaseen, Wael K.M. Nakamura, Hideki Zhang, Xin http://hdl.handle.net/10576/35298 https://doi.org/10.1016/j.aap.2021.106288 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109463144&origin=inward en eng Elsevier Ltd. http://dx.doi.org/10.1016/j.aap.2021.106288 Zhu, H., Almukdad, A., Iryo-Asano, M., Alhajyaseen, W. K., Nakamura, H., & Zhang, X. (2021). A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks. Accident Analysis & Prevention, 159, 106288. 0001-4575 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109463144&origin=inward http://hdl.handle.net/10576/35298 159 Agent-based model Pedestrians-vehicles interaction Post encroachment time Reaction time Unsignalized crosswalks Visual obstacle Article ftqataruniv https://doi.org/10.1016/j.aap.2021.106288 2022-10-25T00:22:44Z A critical safety problem in road networks is the conflicts on unsignalized crosswalks. Thus, a proactive approach to assess pedestrian safety performance is required. Simulating the microscopic road user behavior in a virtual platform is one of the typical approaches. However, current simulation tools are not flexible enough to properly reproduce various behaviors of pedestrians and drivers considering their interactions with the road environment and other road users. Therefore, the objective of this paper is to propose a novel agent-based framework for evaluating pedestrian safety at unsignalized crosswalks. Unsignalized mid-block crosswalks with refuge islands (UMCR) are considered as an example facility to implement the proposed framework, where relevant behavioral elements such as the reaction time, visual field with obstacles, and minimum safety margin time are addressed. Not only the pedestrian-vehicle interaction is modeled but also the vehicle-vehicle interaction is considered. Empirical validation on a UMCR shows that the proposed framework can reproduce reliable distributions of the post encroachment time compared to the observed distributions within an acceptable error range. The sensitivity analysis reveals that the high reaction time of drivers, small safety margin time, and visual obstacles near crosswalks increase the probability of serious conflicts. The results also show that the framework can reproduce traffic crashes under assumed extreme road conditions. The Qatar–Japan Research Collaboration Application Award [M-QJRC-2020-8] from Qatar University. The JSPS KAKENHI Grant Number 20 K04720. Article in Journal/Newspaper Refuge Islands Qatar University: QU Institutional Repository Refuge Islands ENVELOPE(-67.166,-67.166,-68.350,-68.350) Accident Analysis & Prevention 159 106288 |
institution |
Open Polar |
collection |
Qatar University: QU Institutional Repository |
op_collection_id |
ftqataruniv |
language |
English |
topic |
Agent-based model Pedestrians-vehicles interaction Post encroachment time Reaction time Unsignalized crosswalks Visual obstacle |
spellingShingle |
Agent-based model Pedestrians-vehicles interaction Post encroachment time Reaction time Unsignalized crosswalks Visual obstacle Zhu, Hong Almukdad, Abdulkarim Iryo-Asano, Miho Alhajyaseen, Wael K.M. Nakamura, Hideki Zhang, Xin A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks |
topic_facet |
Agent-based model Pedestrians-vehicles interaction Post encroachment time Reaction time Unsignalized crosswalks Visual obstacle |
description |
A critical safety problem in road networks is the conflicts on unsignalized crosswalks. Thus, a proactive approach to assess pedestrian safety performance is required. Simulating the microscopic road user behavior in a virtual platform is one of the typical approaches. However, current simulation tools are not flexible enough to properly reproduce various behaviors of pedestrians and drivers considering their interactions with the road environment and other road users. Therefore, the objective of this paper is to propose a novel agent-based framework for evaluating pedestrian safety at unsignalized crosswalks. Unsignalized mid-block crosswalks with refuge islands (UMCR) are considered as an example facility to implement the proposed framework, where relevant behavioral elements such as the reaction time, visual field with obstacles, and minimum safety margin time are addressed. Not only the pedestrian-vehicle interaction is modeled but also the vehicle-vehicle interaction is considered. Empirical validation on a UMCR shows that the proposed framework can reproduce reliable distributions of the post encroachment time compared to the observed distributions within an acceptable error range. The sensitivity analysis reveals that the high reaction time of drivers, small safety margin time, and visual obstacles near crosswalks increase the probability of serious conflicts. The results also show that the framework can reproduce traffic crashes under assumed extreme road conditions. The Qatar–Japan Research Collaboration Application Award [M-QJRC-2020-8] from Qatar University. The JSPS KAKENHI Grant Number 20 K04720. |
format |
Article in Journal/Newspaper |
author |
Zhu, Hong Almukdad, Abdulkarim Iryo-Asano, Miho Alhajyaseen, Wael K.M. Nakamura, Hideki Zhang, Xin |
author_facet |
Zhu, Hong Almukdad, Abdulkarim Iryo-Asano, Miho Alhajyaseen, Wael K.M. Nakamura, Hideki Zhang, Xin |
author_sort |
Zhu, Hong |
title |
A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks |
title_short |
A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks |
title_full |
A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks |
title_fullStr |
A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks |
title_full_unstemmed |
A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks |
title_sort |
novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks |
publisher |
Elsevier Ltd. |
url |
http://hdl.handle.net/10576/35298 https://doi.org/10.1016/j.aap.2021.106288 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109463144&origin=inward |
long_lat |
ENVELOPE(-67.166,-67.166,-68.350,-68.350) |
geographic |
Refuge Islands |
geographic_facet |
Refuge Islands |
genre |
Refuge Islands |
genre_facet |
Refuge Islands |
op_relation |
http://dx.doi.org/10.1016/j.aap.2021.106288 Zhu, H., Almukdad, A., Iryo-Asano, M., Alhajyaseen, W. K., Nakamura, H., & Zhang, X. (2021). A novel agent-based framework for evaluating pedestrian safety at unsignalized mid-block crosswalks. Accident Analysis & Prevention, 159, 106288. 0001-4575 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109463144&origin=inward http://hdl.handle.net/10576/35298 159 |
op_doi |
https://doi.org/10.1016/j.aap.2021.106288 |
container_title |
Accident Analysis & Prevention |
container_volume |
159 |
container_start_page |
106288 |
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1766177825898889216 |