Fuzzy-logic-based virtual rumble strip for road departure warning systems

被引:22
|
作者
Pilutti, T [1 ]
Ulsoy, AG
机构
[1] Ford Res Lab, Dearborn, MI 48109 USA
[2] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
关键词
Driver Assistance Systems; road departure warning;
D O I
10.1109/TITS.2003.811810
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper provides a detailed investigation into two potential forms of onboard road departure warning systems. A method known as time-to-lane-crossing (TLC) is compared with rumble strips placed a fixed distance from the road edge, and is found to provide enhanced performance over such static rumble strips in terms of reduced false warnings and increased warning anticipation. A new approach, called the variable rumble strip (VRBS), is proposed, which is an onboard electronic implementation of the static rumble strip where the warning threshold is allowed to vary according to the risk of the vehicle departing the road. Performance of the fuzzy-logic-based VRBS system is similar to that of the TLC-based approach, but requires less sensor information, making it more feasible in a vehicle application. Performance is measured in terms of hits, misses, and false alarms based on a validation warning set comprised of either static rumble strip generated warnings or by a warning set generated by subjective interpretation of the road departure criticality, The algorithms are tested on 2-h driving simulator runs by 12 drivers. This paper also includes an extension to the VRBS system involving the use of an estimate of driver lane-keeping performance to alter the VRBS threshold adjustment.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 50 条
  • [41] A fuzzy-logic-based approach for mobile robot path tracking
    Antonelli, Gianluca
    Chiaverini, Stefano
    Fusco, Giuseppe
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2007, 15 (02) : 211 - 221
  • [42] Fuzzy-logic-based traffic incident detection algorithm for freeway
    Xie Binglei
    Hu Zheng
    Ma Hongwei
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 1254 - 1259
  • [43] Advanced Fuzzy-Logic-Based Traffic Incident Detection Algorithm
    Zhu, Changhong
    Guo, Zhenjun
    Ke, Jie
    ADVANCES IN FUZZY SYSTEMS, 2021, 2021
  • [44] FORCE-CONTROLLED FUZZY-LOGIC-BASED ROBOTIC DEBURRING
    LIU, MH
    CONTROL ENGINEERING PRACTICE, 1995, 3 (02) : 189 - 201
  • [45] Fuzzy-logic-based channel selection in IEEE 802.22 WRAN
    Joshi, Gyanendra Prasad
    Acharya, Srijana
    Kim, Sung Won
    INFORMATION SYSTEMS, 2015, 48 : 327 - 332
  • [46] The fuzzy-logic-based reasoning mechanism for product development process
    Gu, YK
    Huang, HZ
    Wu, WD
    Liu, CS
    FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 2, PROCEEDINGS, 2005, 3614 : 897 - 906
  • [47] A Fuzzy-Logic-Based Covariance Localization Method in Data Assimilation
    Bai, Yulong
    Ma, Xiaoyan
    Ding, Lin
    ATMOSPHERE, 2020, 11 (10)
  • [48] Agility index of manufacturing firm - A fuzzy-logic-based approach
    Shih, YC
    Lin, CT
    IEMC-2002: IEEE INTERNATIONAL ENGINEERING MANAGEMENT CONFERENCE, VOLS I AND II, PROCEEDINGS: MANAGING TECHNOLOGY FOR THE NEW ECONOMY, 2002, : 465 - 470
  • [49] Fuzzy-logic-based incident detection for signalized diamond interchanges
    Lee, S
    Krammes, RA
    Yen, J
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 1998, 6 (5-6) : 359 - 377
  • [50] A fuzzy-logic-based approach to the EFQM model for performance enhancement
    Alper Kiraz
    Nilay Açikgöz
    Sādhanā, 2021, 46