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A cellular automaton simulation model for pedestrian and vehicle interaction behaviors at unsignalized mid-block crosswalks.(Report)

To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1016/j.aap.2016.04.014 Byline: Lili Lu [lulili_seu@163.com] (a,b,*), Gang Ren (c), Wei Wang (c), Ching-Yao Chan (d), Jian Wang (e) Keywords Unsignalized crosswalks; Yielding... Full description

Journal Title: Accident Analysis and Prevention 2016, Vol.95, p.425
Main Author: Lu, Lili
Other Authors: Ren, Gang , Wang, Wei , Chan, Ching-Yao , Wang, Jian
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0001-4575 ; DOI: 10.1016/j.aap.2016.04.014
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recordid: gale_ofa522297830
title: A cellular automaton simulation model for pedestrian and vehicle interaction behaviors at unsignalized mid-block crosswalks.(Report)
format: Article
creator:
  • Lu, Lili
  • Ren, Gang
  • Wang, Wei
  • Chan, Ching-Yao
  • Wang, Jian
subjects:
  • Robots – Analysis
  • Traffic Regulations – Analysis
  • Computer Simulation – Analysis
ispartof: Accident Analysis and Prevention, 2016, Vol.95, p.425
description: To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1016/j.aap.2016.04.014 Byline: Lili Lu [lulili_seu@163.com] (a,b,*), Gang Ren (c), Wei Wang (c), Ching-Yao Chan (d), Jian Wang (e) Keywords Unsignalized crosswalks; Yielding behavior; Crossing behavior; Cellular automaton model; Simulation Highlights * A reliable simulation model to represent the vehicle yielding and pedestrian crossing behaviors at unsignalized crosswalks in a realistic way is established. * The model is calibrated with detailed behavioral data collected and extracted from field observations. * The calibrated model is able to predict the pedestrian-interaction events as well as estimating the driver yielding rate and pedestrian delay, vehicle traffic dynamic. * The model can enable the evaluation of policy effectiveness and the selection of engineering treatments at unsignalized crosswalks to improve safety and efficiency of pedestrian crossing. Abstract At unsignalized crosswalks, interactions between pedestrians and vehicles often lead to traffic safety hazards due to absence of traffic control and unclear right-of-ways. To address this safety problem, there is a need to understand the interaction behaviors of pedestrians and vehicles that are complicated by a variety of traffic and roadway attributes. The prime objective of this study is to establish a reliable simulation model to represent the vehicle yielding and pedestrian crossing behaviors at unsignalized crosswalks in a realistic way. The model is calibrated with detailed behavioral data collected and extracted from field observations. The capability of the calibrated model in predicting the pedestrian-interaction events as well as estimating the driver yielding rate and pedestrian delay are also tested and demonstrated. Meanwhile, the traffic dynamics in the vicinity of the crosswalk can be meaningfully represented with simulation results based on the model. Moreover, with the definitions of the vehicle-pedestrian conflicts, the proposed model is capable to evaluate the pedestrian safety. Thereby, the simulation model has the potential to serve as a useful tool for assessing safety performance and traffic operations at existing facilities. Furthermore, the model can enable the evaluation of policy effectiveness and the selection of engineering treatments at unsignalized crosswalks to improve safety and efficiency of pedestrian crossing. Author Affiliatio
language: eng
source:
identifier: ISSN: 0001-4575 ; DOI: 10.1016/j.aap.2016.04.014
fulltext: fulltext
issn:
  • 0001-4575
  • 00014575
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titleA cellular automaton simulation model for pedestrian and vehicle interaction behaviors at unsignalized mid-block crosswalks.(Report)
creatorLu, Lili ; Ren, Gang ; Wang, Wei ; Chan, Ching-Yao ; Wang, Jian
ispartofAccident Analysis and Prevention, 2016, Vol.95, p.425
identifierISSN: 0001-4575 ; DOI: 10.1016/j.aap.2016.04.014
subjectRobots – Analysis ; Traffic Regulations – Analysis ; Computer Simulation – Analysis
descriptionTo access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1016/j.aap.2016.04.014 Byline: Lili Lu [lulili_seu@163.com] (a,b,*), Gang Ren (c), Wei Wang (c), Ching-Yao Chan (d), Jian Wang (e) Keywords Unsignalized crosswalks; Yielding behavior; Crossing behavior; Cellular automaton model; Simulation Highlights * A reliable simulation model to represent the vehicle yielding and pedestrian crossing behaviors at unsignalized crosswalks in a realistic way is established. * The model is calibrated with detailed behavioral data collected and extracted from field observations. * The calibrated model is able to predict the pedestrian-interaction events as well as estimating the driver yielding rate and pedestrian delay, vehicle traffic dynamic. * The model can enable the evaluation of policy effectiveness and the selection of engineering treatments at unsignalized crosswalks to improve safety and efficiency of pedestrian crossing. Abstract At unsignalized crosswalks, interactions between pedestrians and vehicles often lead to traffic safety hazards due to absence of traffic control and unclear right-of-ways. To address this safety problem, there is a need to understand the interaction behaviors of pedestrians and vehicles that are complicated by a variety of traffic and roadway attributes. The prime objective of this study is to establish a reliable simulation model to represent the vehicle yielding and pedestrian crossing behaviors at unsignalized crosswalks in a realistic way. The model is calibrated with detailed behavioral data collected and extracted from field observations. The capability of the calibrated model in predicting the pedestrian-interaction events as well as estimating the driver yielding rate and pedestrian delay are also tested and demonstrated. Meanwhile, the traffic dynamics in the vicinity of the crosswalk can be meaningfully represented with simulation results based on the model. Moreover, with the definitions of the vehicle-pedestrian conflicts, the proposed model is capable to evaluate the pedestrian safety. Thereby, the simulation model has the potential to serve as a useful tool for assessing safety performance and traffic operations at existing facilities. Furthermore, the model can enable the evaluation of policy effectiveness and the selection of engineering treatments at unsignalized crosswalks to improve safety and efficiency of pedestrian crossing. Author Affiliation: (a) Faculty of Maritime and Transportation, Ningbo University, China (b) Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, China (c) Jiangsu Key Laboratory of Urban ITS, Southeast University, Si Pai Lou #2, Nanjing 210096, Jiangsu Province, China (d) University of California, Berkeley, Partners for Advanced Transportation Technology,1357 S.46th Street, Bldg. 452, Richmond, CA 94804-464, United States (e) School of Civil Engineering, Purdue University, West Lafayette, IN 47907, United States * Corresponding author at: Faculty of Maritime and Transportation, Ningbo University, Zhejiang Province. Fenghua road 818#, Ningbo 315211, China. Tel.: +86 18758362393. Article History: Received 7 February 2015; Revised 8 March 2016; Accepted 12 April 2016
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titleA cellular automaton simulation model for pedestrian and vehicle interaction behaviors at unsignalized mid-block crosswalks.(Report)
descriptionTo access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1016/j.aap.2016.04.014 Byline: Lili Lu [lulili_seu@163.com] (a,b,*), Gang Ren (c), Wei Wang (c), Ching-Yao Chan (d), Jian Wang (e) Keywords Unsignalized crosswalks; Yielding behavior; Crossing behavior; Cellular automaton model; Simulation Highlights * A reliable simulation model to represent the vehicle yielding and pedestrian crossing behaviors at unsignalized crosswalks in a realistic way is established. * The model is calibrated with detailed behavioral data collected and extracted from field observations. * The calibrated model is able to predict the pedestrian-interaction events as well as estimating the driver yielding rate and pedestrian delay, vehicle traffic dynamic. * The model can enable the evaluation of policy effectiveness and the selection of engineering treatments at unsignalized crosswalks to improve safety and efficiency of pedestrian crossing. Abstract At unsignalized crosswalks, interactions between pedestrians and vehicles often lead to traffic safety hazards due to absence of traffic control and unclear right-of-ways. To address this safety problem, there is a need to understand the interaction behaviors of pedestrians and vehicles that are complicated by a variety of traffic and roadway attributes. The prime objective of this study is to establish a reliable simulation model to represent the vehicle yielding and pedestrian crossing behaviors at unsignalized crosswalks in a realistic way. The model is calibrated with detailed behavioral data collected and extracted from field observations. The capability of the calibrated model in predicting the pedestrian-interaction events as well as estimating the driver yielding rate and pedestrian delay are also tested and demonstrated. Meanwhile, the traffic dynamics in the vicinity of the crosswalk can be meaningfully represented with simulation results based on the model. Moreover, with the definitions of the vehicle-pedestrian conflicts, the proposed model is capable to evaluate the pedestrian safety. Thereby, the simulation model has the potential to serve as a useful tool for assessing safety performance and traffic operations at existing facilities. Furthermore, the model can enable the evaluation of policy effectiveness and the selection of engineering treatments at unsignalized crosswalks to improve safety and efficiency of pedestrian crossing. Author Affiliation: (a) Faculty of Maritime and Transportation, Ningbo University, China (b) Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, China (c) Jiangsu Key Laboratory of Urban ITS, Southeast University, Si Pai Lou #2, Nanjing 210096, Jiangsu Province, China (d) University of California, Berkeley, Partners for Advanced Transportation Technology,1357 S.46th Street, Bldg. 452, Richmond, CA 94804-464, United States (e) School of Civil Engineering, Purdue University, West Lafayette, IN 47907, United States * Corresponding author at: Faculty of Maritime and Transportation, Ningbo University, Zhejiang Province. Fenghua road 818#, Ningbo 315211, China. Tel.: +86 18758362393. Article History: Received 7 February 2015; Revised 8 March 2016; Accepted 12 April 2016
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abstractTo access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1016/j.aap.2016.04.014 Byline: Lili Lu [lulili_seu@163.com] (a,b,*), Gang Ren (c), Wei Wang (c), Ching-Yao Chan (d), Jian Wang (e) Keywords Unsignalized crosswalks; Yielding behavior; Crossing behavior; Cellular automaton model; Simulation Highlights * A reliable simulation model to represent the vehicle yielding and pedestrian crossing behaviors at unsignalized crosswalks in a realistic way is established. * The model is calibrated with detailed behavioral data collected and extracted from field observations. * The calibrated model is able to predict the pedestrian-interaction events as well as estimating the driver yielding rate and pedestrian delay, vehicle traffic dynamic. * The model can enable the evaluation of policy effectiveness and the selection of engineering treatments at unsignalized crosswalks to improve safety and efficiency of pedestrian crossing. Abstract At unsignalized crosswalks, interactions between pedestrians and vehicles often lead to traffic safety hazards due to absence of traffic control and unclear right-of-ways. To address this safety problem, there is a need to understand the interaction behaviors of pedestrians and vehicles that are complicated by a variety of traffic and roadway attributes. The prime objective of this study is to establish a reliable simulation model to represent the vehicle yielding and pedestrian crossing behaviors at unsignalized crosswalks in a realistic way. The model is calibrated with detailed behavioral data collected and extracted from field observations. The capability of the calibrated model in predicting the pedestrian-interaction events as well as estimating the driver yielding rate and pedestrian delay are also tested and demonstrated. Meanwhile, the traffic dynamics in the vicinity of the crosswalk can be meaningfully represented with simulation results based on the model. Moreover, with the definitions of the vehicle-pedestrian conflicts, the proposed model is capable to evaluate the pedestrian safety. Thereby, the simulation model has the potential to serve as a useful tool for assessing safety performance and traffic operations at existing facilities. Furthermore, the model can enable the evaluation of policy effectiveness and the selection of engineering treatments at unsignalized crosswalks to improve safety and efficiency of pedestrian crossing. Author Affiliation: (a) Faculty of Maritime and Transportation, Ningbo University, China (b) Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, China (c) Jiangsu Key Laboratory of Urban ITS, Southeast University, Si Pai Lou #2, Nanjing 210096, Jiangsu Province, China (d) University of California, Berkeley, Partners for Advanced Transportation Technology,1357 S.46th Street, Bldg. 452, Richmond, CA 94804-464, United States (e) School of Civil Engineering, Purdue University, West Lafayette, IN 47907, United States * Corresponding author at: Faculty of Maritime and Transportation, Ningbo University, Zhejiang Province. Fenghua road 818#, Ningbo 315211, China. Tel.: +86 18758362393. Article History: Received 7 February 2015; Revised 8 March 2016; Accepted 12 April 2016
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