Design of a Haptic Gas Pedal for Active Car-Following Support

被引:69
|
作者
Mulder, Mark [1 ]
Abbink, David A. [2 ]
van Paassen, Marinus M. [1 ]
Mulder, Max [1 ]
机构
[1] Delft Univ Technol, Dept Aerosp Engn, NL-2629 Delft, Netherlands
[2] Delft Univ Technol, Dept Mech Engn, NL-2628 Delft, Netherlands
关键词
Algorithm; car-following; driver support; haptic feedback; human-centered design; TIME-HEADWAY; COLLISION; INFORMATION; BRAKING; SYSTEM; SPEED; TASK; ACC;
D O I
10.1109/TITS.2010.2091407
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The research presented in this paper focuses on the design of a driver support system for the manual longitudinal control of a car during car-following. The aim of the design was to develop a system that would cooperate with the driver in comfortably maintaining (safe) separation with a lead vehicle. Three important design issues for a haptic gas pedal feedback system can be distinguished: 1) quantification of intervehicle separation parameters; 2) the type of haptic feedback; and 3) the relation between haptic feedback and intervehicle separation. Because of the inverse relationship between time-to-contact (TTC) and time-headway (THW)-the smaller the THW, the more important the avoidance of high TTC-THW should act as an amplifier for the haptic gas pedal feedback based on TTC. Using gas pedal stiffness feedback is expected to better facilitate the manual control of intervehicle separation changes, quantified by THW and TTC, because stiffness feedback allows perception of force and force-slope changes. The force changes inform drivers of instantaneous changes in the environment. Force-slope changes prevent drivers from input to the car that would continue to reduce the following gap in situations where this would be undesirable. A review of fixed-base simulator and field tests confirms that haptic gas pedal feedback improves driver vigilance during car-following without increasing the workload.
引用
收藏
页码:268 / 279
页数:12
相关论文
共 50 条
  • [41] Interactive Car-Following: Matters but NOT Always
    Zhang, Chengyuan
    Chen, Rui
    Zhu, Jiacheng
    Wang, Wenshuo
    Liu, Changliu
    Sun, Lijun
    2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC, 2023, : 5120 - 5125
  • [42] Research progress on car-following models
    Yang, Long-Hai
    Zhang, Chun
    Qiu, Xiao-Yun
    Li, Shuai
    Wang, Hui
    Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering, 2019, 19 (05): : 125 - 138
  • [43] Characteristics of driver behavior in car-following
    Cheng, Bo
    Taniguchi, Tetsuo
    Hatano, Tadashi
    Matsushima, Kazuo
    Rev. Automot. Eng., 2 (191-199):
  • [44] Development of kinks in car-following models
    Kurtze, Douglas A.
    PHYSICAL REVIEW E, 2017, 95 (03)
  • [45] The density wave in a car-following model
    Zhou, XJ
    Liu, ZZ
    Luo, J
    JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 2002, 35 (20): : 4495 - 4500
  • [46] CONTINUOUS SIMULATION OF A CAR-FOLLOWING EQUATION
    KAUFMAN, A
    MATHEMATICS AND COMPUTERS IN SIMULATION, 1982, 24 (01) : 88 - 94
  • [47] Car-following model and its solution
    Xu, Lunhui
    Xu, Jianmin
    Zhou, Qijie
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 1998, 26 (09): : 38 - 43
  • [48] Continuum approach to car-following models
    Berg, P
    Mason, A
    Woods, A
    PHYSICAL REVIEW E, 2000, 61 (02): : 1056 - 1066
  • [49] Development of an Emotional Car-Following Model
    Higgs, Bryan
    Abbas, Montasir
    2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2014, : 2972 - 2977
  • [50] FURTHER RESEARCH ON CAR-FOLLOWING MODELS
    HEYES, MP
    ASHWORTH, R
    TRANSPORTATION RESEARCH, 1972, 6 (03): : 287 - &