行人过街人车冲突等级评价及影响分析
|
摘要
无信号控制路段人车冲突等级的划分对于采取交通安全策略有重要意义,本文采用交通调查和数据分析的方法探索人车冲突严重程度的影响因素.通过视频采集确定了综合人、车、路3方面特性的14个解释变量,通过变量间相关性分析对解释变量进行筛选,再建立基于Odered Probit回归分析的人车冲突量化模型确定了影响显著的因素.
The classification of conflict grade of pedestrians and vehicles at uncontrolled mid-block crosswalk is of great significance for the adoption of traffic safety strategies. This paper explored the influencing factors of the severity of pedestrian-vehicle conflict by means of traffic investigation and data analysis. Fourteen explanatory variables are identified by video capture, which integrates the three characteristics of human, vehicle and road. The explanatory variables are screened by correlation analysis between variables. Then a quantitative model of humanvehicle conflict based on Odered Probit regression analysis is established to determine the significant factors.
The classification of conflict grade of pedestrians and vehicles at uncontrolled mid-block crosswalk is of great significance for the adoption of traffic safety strategies. This paper explored the influencing factors of the severity of pedestrian-vehicle conflict by means of traffic investigation and data analysis. Fourteen explanatory variables are identified by video capture, which integrates the three characteristics of human, vehicle and road. The explanatory variables are screened by correlation analysis between variables. Then a quantitative model of humanvehicle conflict based on Odered Probit regression analysis is established to determine the significant factors.
引文
[1]高志军,马路.城市交叉口非机动车交通冲突及其严重程度模型[J].中国安全科学学报, 2017(3):31-36.[GAO Z J, MA L. Non-motor vehicle traffic conflict and its severity model at urban intersection[J]. China Safety Science Journal, 2017(3):31-36.]
[2] JIANG X B, WANG W H. Drivers'effective decelerating zone in an urban vehicle-pedestrian conflict situation:observational studies and analyses[J]. Transportation Research Part D, 2018(5):76-84.
[3]张存保,陈峰.无信号控制路段手机对行人过街行为和安全的影响[J].交通运输系统工程与信息, 2018, 18(4):136-141.[ZHANG C B, CHEN F. Effects of cell phone on pedestrian crossing behavior and safety in unsignalized road sections[J]. Journal of Transportation Systems Engineering and Information, 2018, 18(4):136-141.]
[4] WANG Y, PENG Z Y. Simulated interactions of pedestrian crossings and motorized vehicles in residential areas[J]. Physical A, 2017(10):490-497.
[5] ZHUANG X, WU C. The safety margin and perceived safety of pedes-trians at unmarked roadway[J].Transportation Research Part F, 2012, 15(2):119-131.
[6] SVENSSON?, HYDéN C. Estimating the severity of safety related behavior[J]. Accident Analysis and Prevention, 2006, 38(2):379-385.
[7] GRAYSON G B. The Malm?study:a calibration of traffic conflict techniques[C]. A Study Organised by ICTCT(The International Committee on Traffic Conflict Techniques), 1984:8-12.
[8] HARKEY D L, REINFURT D W, KNUIMAN M.Development of the bicycle compatibility index[R].Transportation Research Record 1636, TRB, National Research Council, Washington, D.C., 1998:13-20.
[9]宗芳,许洪国,张慧永.基于Ordered Probit模型的交通事故受伤人数预测[J].华南理工大学学报(自然科学版), 2012(7):41-46.[ZONG F, XU H G, ZHANG H Y.Prediction of traffic accident injuries based on Ordered Probit model[J]. Journal of South China University of Technology(Natural Science), 2012(7):41-46.]
[10]周钊,谭莉.成都市城市道路行人交通特性研究[J].交通节能与环保, 2017(6):27-30.[ZHOU Z, TAN L.Pedestrian traffic characteristics of urban road in Chengdu[J]. Traffic Energy Conservation and Environmental Protection, 2017(6):27-30.]
[2] JIANG X B, WANG W H. Drivers'effective decelerating zone in an urban vehicle-pedestrian conflict situation:observational studies and analyses[J]. Transportation Research Part D, 2018(5):76-84.
[3]张存保,陈峰.无信号控制路段手机对行人过街行为和安全的影响[J].交通运输系统工程与信息, 2018, 18(4):136-141.[ZHANG C B, CHEN F. Effects of cell phone on pedestrian crossing behavior and safety in unsignalized road sections[J]. Journal of Transportation Systems Engineering and Information, 2018, 18(4):136-141.]
[4] WANG Y, PENG Z Y. Simulated interactions of pedestrian crossings and motorized vehicles in residential areas[J]. Physical A, 2017(10):490-497.
[5] ZHUANG X, WU C. The safety margin and perceived safety of pedes-trians at unmarked roadway[J].Transportation Research Part F, 2012, 15(2):119-131.
[6] SVENSSON?, HYDéN C. Estimating the severity of safety related behavior[J]. Accident Analysis and Prevention, 2006, 38(2):379-385.
[7] GRAYSON G B. The Malm?study:a calibration of traffic conflict techniques[C]. A Study Organised by ICTCT(The International Committee on Traffic Conflict Techniques), 1984:8-12.
[8] HARKEY D L, REINFURT D W, KNUIMAN M.Development of the bicycle compatibility index[R].Transportation Research Record 1636, TRB, National Research Council, Washington, D.C., 1998:13-20.
[9]宗芳,许洪国,张慧永.基于Ordered Probit模型的交通事故受伤人数预测[J].华南理工大学学报(自然科学版), 2012(7):41-46.[ZONG F, XU H G, ZHANG H Y.Prediction of traffic accident injuries based on Ordered Probit model[J]. Journal of South China University of Technology(Natural Science), 2012(7):41-46.]
[10]周钊,谭莉.成都市城市道路行人交通特性研究[J].交通节能与环保, 2017(6):27-30.[ZHOU Z, TAN L.Pedestrian traffic characteristics of urban road in Chengdu[J]. Traffic Energy Conservation and Environmental Protection, 2017(6):27-30.]