Reliability-Based Risk Analysis of Roadway Horizontal Curves

被引:50
|
作者
You, Kesi [2 ]
Sun, Lu [1 ]
Gu, Wenjun [1 ]
机构
[1] Catholic Univ Amer, Dept Civil Engn, Washington, DC 20064 USA
[2] Southeast Univ, Sch Transportat, Nanjing 210096, Jiangsu, Peoples R China
基金
美国国家科学基金会;
关键词
Reliability; Risk analysis; Horizontal curve; Roadway safety; SIGHT DISTANCE; PERFORMANCE; DESIGN;
D O I
10.1061/(ASCE)TE.1943-5436.0000402
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Reliability-based analysis of road geometric design has been reported in literatures as a trend in transportation safety study. In the reliability analysis of a horizontal curve, the performance function is usually formulated as a function of the failure mode of vehicle skidding only. This paper takes into account the failure modes of vehicle skidding and rollover in formulating the performance functions of cars and trucks, respectively. A comparative study of three different performance functions for calculating the probability of vehicle failure modes is conducted. The results qualitatively show that trucks are more vulnerable to skid than cars, and are more likely to rollover than to skid on dry pavement. A vehicle's is greatly influenced by vehicle suspension and roll motion. A sensitivity analysis investigating the influences of vehicle parameters and superelevation on vehicle skidding and rollover follows. In order to make the paper practically useful, the probability of failure for the minimum radius recommended by AASHTO at various superelevations and design speeds was computed to investigate the reliability of the recommended minimum radius. DOI: 10.1061/(ASCE)TE.1943-5436.0000402. (C) 2012 American Society of Civil Engineers.
引用
收藏
页码:1071 / 1081
页数:11
相关论文
共 50 条
  • [1] Reliability analysis and reliability-based design optimization of roadway horizontal curves using a first-order reliability method
    Shin, Jaekwan
    Lee, Ikjin
    [J]. ENGINEERING OPTIMIZATION, 2015, 47 (05) : 622 - 641
  • [2] Reliability Analysis for Roadway Curves with Horizontal Sightline Obstructions
    Cook, Daniel J.
    Harwood, Douglas W.
    Potts, Ingrid B.
    Donnell, Eric T.
    Hamadeh, Bachir
    [J]. TRANSPORTATION RESEARCH RECORD, 2019, 2673 (08) : 611 - 622
  • [3] Multi-mode reliability-based design of horizontal curves
    Essa, Mohamed
    Sayed, Tarek
    Hussein, Mohamed
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2016, 93 : 124 - 134
  • [4] Incorporating design consistency into risk-based geometric design of horizontal curves: a reliability-based optimization framework
    Alsaleh, Rushdi
    Lanzaro, Gabriel
    Sayed, Tarek
    [J]. TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2024, 20 (02)
  • [5] Reliability-Based Design of Horizontal Curves on Two-Lane Rural Highways
    Dhahir, Bashar
    Hassan, Yasser
    [J]. TRANSPORTATION RESEARCH RECORD, 2016, (2588) : 22 - 31
  • [6] Reliability-based analysis of horizontal curve design by evaluating the impact of vehicle automation on roadway departure crashes and safety performance
    Al-Sheikh, Omar
    Ghasemi, Seyed Hooman
    Jalayer, Mohammad
    [J]. HELIYON, 2024, 10 (04)
  • [7] Sight distance assessment on left horizontal curves over crest vertical curves on divided highways through reliability-based analysis
    Matragos, V.
    Fotos, F.
    Apostoleris, K.
    Mavromatis, S.
    [J]. Advances in Transportation Studies, 2023, 60 : 189 - 202
  • [8] Reliability-Based Assessment of Benefits in Roadway Safety Management
    Cafiso, Salvatore
    D'Agostino, Carmelo
    [J]. TRANSPORTATION RESEARCH RECORD, 2015, (2513) : 1 - 10
  • [9] Risk assessment of horizontal curves using reliability analysis based on Google traffic data
    Eman K. Ali
    Ibrahim H. Hashim
    Sayed A. Shwaly
    Zaki M. Zidan
    Sherif M. El-Badawy
    [J]. Innovative Infrastructure Solutions, 2021, 6
  • [10] Risk assessment of horizontal curves using reliability analysis based on Google traffic data
    Ali, Eman K.
    Hashim, Ibrahim H.
    Shwaly, Sayed A.
    Zidan, Zaki M.
    El-Badawy, Sherif M.
    [J]. INNOVATIVE INFRASTRUCTURE SOLUTIONS, 2021, 6 (02)