Modeling traffic barriers crash severity by considering the effect of traffic barrier dimensions

被引:12
|
作者
Molan, Amirarsalan Mehrara [1 ]
Rezapour, Mahdi [1 ]
Ksaibati, Khaled [1 ]
机构
[1] Univ Wyoming, Dept Civil & Architectural Engn, Wyoming Technol Transfer Ctr, 1000 E Univ Ave,Dept 3295, Laramie, WY 82071 USA
来源
JOURNAL OF MODERN TRANSPORTATION | 2019年 / 27卷 / 02期
关键词
Crash severity; Run-off-road crashes; Traffic barriers; End treatments; Traffic barrier dimensions; Real-world crash analysis; Wyoming;
D O I
10.1007/s40534-019-0186-1
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Traffic barriers are in widespread all around the USA as safety countermeasures for reducing the severity of run-off-road crashes. The effect of traffic barriers' dimension had been ignored in past real-world crash studies due to the considerable cost and time needed for collecting field data. This paper presented two new analytical models to investigate the effect of different variables on the severity of crashes involving traffic barriers, and end treatments. For this reason, a field survey was conducted on over 1.3 million linear feet of traffic barriers (approximately 4,176 miles road) in Wyoming to measure traffic barriers' geometric features like height, length, offset, and slope rate. The collected data included 55% of all non-interstate roads of Wyoming. Based on results, the crashes involving box beam barriers were less severe than the crashes involved with W-beam or concrete barriers. The traffic barriers with a height between 28 and 31 in. were found safer than the traffic barriers shorter than 28 in., while there was no significant difference between the traffic barriers taller than 31 in. to those shorter than 28 in. in terms of crash severity. The end treatments located nearer to the traffic lane had lower crash severity.
引用
收藏
页码:141 / 151
页数:11
相关论文
共 50 条
  • [32] Effect of Traffic Modeling on Control of Traffic Networks
    Xue, Zhengui
    Chiabaut, Nicolas
    Leclercq, Ludovic
    TRANSPORTATION RESEARCH RECORD, 2016, (2560) : 47 - 56
  • [33] Crash Involvement of Motor Vehicles in Relationship to the Number and Severity of Traffic Offenses. An Exploratory Analysis of Dutch Traffic Offenses and Crash Data
    Goldenbeld, Charles
    Reurings, Martine
    Van Norden, Yvette
    Stipdonk, Henk
    TRAFFIC INJURY PREVENTION, 2013, 14 (06) : 584 - 591
  • [34] The Effects of Traffic Composition on Freeway Crash Frequency by Injury Severity: A Bayesian Multivariate Spatial Modeling Approach
    Wen, Huiying
    Sun, Jiaren
    Zeng, Qiang
    Zhang, Xuan
    Yuan, Quan
    JOURNAL OF ADVANCED TRANSPORTATION, 2018,
  • [35] A negative binomial Lindley approach considering spatiotemporal effects for modeling traffic crash frequency with excess zeros
    Wang, Wencheng
    Yang, Yang
    Yang, Xiaobao
    Gayah, Vikash V.
    Wang, Yunpeng
    Tang, Jinjun
    Yuan, Zhenzhou
    ACCIDENT ANALYSIS AND PREVENTION, 2024, 207
  • [36] Bayesian multivariate spatial modeling for crash frequencies by injury severity at daytime and nighttime in traffic analysis zones
    Zeng, Qiang
    Wang, Fangzhou
    Wang, Qianfang
    Pei, Xin
    Yuan, Quan
    TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2023, 15 (06): : 553 - 560
  • [37] Modeling and Simulation of Traffic Flow Considering Driver Perception Error Effect
    Zhang, Junjie
    Sun, Zhentian
    Yu, Haiyang
    Liu, Miaomiao
    Yang, Can
    JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2021, 147 (04)
  • [38] Traffic Noise Modeling of Short Safety Barriers
    Lodico, Dana M.
    TRANSPORTATION RESEARCH RECORD, 2022,
  • [39] Analysis and Modeling of Traffic Participants Considering Interactions at Intersections Without Traffic Signals
    Watanabe, Toru
    Yamaguchi, Takuma
    Okuda, Hiroyuki
    Suzuki, Tatsuya
    Wakisaka, Ryo
    Ban, Kazunori
    2023 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION, SII, 2023,
  • [40] The Impact of Road Geometric Formation on Traffic Crash and Its Severity Level
    Jima, Debela
    Sipos, Tibor
    SUSTAINABILITY, 2022, 14 (14)