Overview of Intelligent Transportation System Safety Countermeasures for Wrong-Way Driving

被引:1
|
作者
Hosseini, Parisa [1 ]
Jalayer, Mohammad [2 ]
Zhou, Huaguo [3 ]
Atiquzzaman, Md [4 ]
机构
[1] Rowan Univ, Glassboro, NJ USA
[2] Rowan Univ, Ctr Res & Educ Adv Transportat Engn Syst CREATEs, Dept Civil & Environm Engn, Glassboro, NJ 08028 USA
[3] Auburn Univ, Dept Civil Engn, Auburn, AL 36849 USA
[4] Virginia Dept Transportat, Culpeper, VA USA
关键词
wrong-way driving; intelligent transportation systems; detection and warning system; advanced technologies; CRASHES;
D O I
10.1177/03611981211051338
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Wrong-way driving (WWD) crashes are rare but tend to cause severe injuries and fatalities. When they occur, WWD crashes are mostly head-on and tend to be more severe than any other crash type. Currently, most efforts to mitigate WWD crashes focus on the application of intelligent transportation systems (ITS) technologies. Since the mid-1960s, many agencies have proposed and tested a variety of countermeasures ranging from the conventional, including improvements in signage and pavement markings, to the more advanced, based mainly on ITS. The application of ITS in detecting and deterring WWD crashes involves a combination of several components, such as detection, warning, and action. The main objective of this paper is to provide a comprehensive overview of ITS technologies implemented by different transportation agencies in the mitigation and prevention of WWD crashes. This study proves the importance of ITS technologies that have seen widespread application in recent years. Moreover, according to the evaluation studies of different ITS-related countermeasures, it shows that the countermeasures deployed have been effective in detecting wrong-way drivers and reducing the rate of wrong-way incidents. The results will provide insights for policymakers, engineers, and researchers into the application of ITS for reducing the severity and frequency of WWD crashes and other incidents on highway facilities.
引用
收藏
页码:243 / 257
页数:15
相关论文
共 50 条
  • [41] A Deep Neural Network Framework for Detecting Wrong-Way Driving Incidents on Highway Roads
    Kezebou, Landry
    Oludare, Victor
    Panetta, Karen
    Agaian, Sos
    [J]. MULTIMODAL IMAGE EXPLOITATION AND LEARNING 2021, 2021, 11734
  • [42] Analysis of driver injury severity in wrong-way driving crashes on controlled-access highways
    Pour-Rouholamin, Mahdi
    Zhou, Huaguo
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2016, 94 : 80 - 88
  • [43] Modeling the Risk of Wrong-Way Driving Entry at the Exit Ramp Terminals of Full Diamond Interchanges
    Atiquzzaman, Md
    Zhou, Huaguo
    [J]. TRANSPORTATION RESEARCH RECORD, 2018, 2672 (17) : 35 - 47
  • [44] Wrong-way driving crashes: A random-parameters ordered probit analysis of injury severity
    Jalayer, Mohammad
    Shabanpour, Ramin
    Pour-Rouholamin, Mandi
    Golshani, Nima
    Zhou, Huaguo
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2018, 117 : 128 - 135
  • [45] Exploring the impact of design elements on wrong-way driving incidents at partial cloverleaf interchange terminals
    Chang, Qing
    Song, Yukun
    Hossain, Md Mahmud
    Zhou, Huaguo
    [J]. IATSS Research, 2024, 48 (04) : 550 - 559
  • [46] Wrong-Way Driving Multifactor Risk-Based Model for Florida Interstates and Toll Facilities
    Rogers, John H., Jr.
    Sandt, Adrian
    Al-Deek, Haitham
    Alomari, Ahmad H.
    Uddin, Nizam
    Gordin, Eric
    Dos Santos, Cristina
    Renfrow, Jessica
    Carrick, Grady
    [J]. TRANSPORTATION RESEARCH RECORD, 2015, (2484) : 119 - 128
  • [47] Evaluation of navigation performances of GPS devices near interchange area pertaining to wrong-way driving
    Jalayer, Mohammad
    Zhou, Huaguo
    Zhang, Beijia
    [J]. JOURNAL OF TRAFFIC AND TRANSPORTATION ENGINEERING-ENGLISH EDITION, 2016, 3 (06) : 593 - 601
  • [48] Evaluation of navigation performances of GPS devices near interchange area pertaining to wrong-way driving
    Mohammad Jalayer
    Huaguo Zhou
    Beijia Zhang
    [J]. Journal of Traffic and Transportation Engineering(English Edition), 2016, (06) : 593 - 601
  • [49] Statewide Application of Wrong-Way Driving Crash Risk Modeling and Countermeasures Optimization Algorithm to Identify Optimal Locations for Countermeasure Deployment on Florida Limited Access Facilities
    Sandt, Adrian
    Al-Deek, Haitham
    Blue, Patrick
    McCombs, John
    [J]. TRANSPORTATION RESEARCH RECORD, 2021, 2675 (05) : 252 - 264
  • [50] Application of text mining techniques to identify actual wrong-way driving (WWD) crashes in police reports
    Hosseini, Parisa
    Khoshsirat, Seyedalireza
    Jalayer, Mohammad
    Das, Subasish
    Zhou, Huaguo
    [J]. INTERNATIONAL JOURNAL OF TRANSPORTATION SCIENCE AND TECHNOLOGY, 2023, 12 (04) : 1038 - 1051