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
  • [31] Optimal velocity functions for car-following models
    Milan Batista
    Elen Twrdy
    [J]. Journal of Zhejiang University-SCIENCE A, 2010, 11 : 520 - 529
  • [32] Validating Driving Simulator for Car-Following Distance
    Ramezani-Khansari, Ehsan
    Tabibi, Masoud
    Nejad, Fereidoon Moghadas
    [J]. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING, 2021, 45 (01) : 281 - 290
  • [33] Capturing Car-Following Behaviors by Deep Learning
    Wang, Xiao
    Jiang, Rui
    Li, Li
    Lin, Yilun
    Zheng, Xinhu
    Wang, Fei-Yue
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (03) : 910 - 920
  • [34] A mixed traffic car-following behavior model
    Wang, Xinke
    Zhang, Jian
    Li, Honghai
    He, Zhengbing
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 632
  • [35] Asymmetric stochastic Tau Theory in car-following
    Li, Li
    Chen, Xiqun
    Li, Zhiheng
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2013, 18 : 21 - 33
  • [36] Validating Driving Simulator for Car-Following Distance
    Ehsan Ramezani-Khansari
    Masoud Tabibi
    Fereidoon Moghadas Nejad
    [J]. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2021, 45 : 281 - 290
  • [37] Visual angle model for car-following theory
    Jin, Sheng
    Wang, Dian-Hai
    Huang, Zhi-Yi
    Tao, Peng-Fei
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2011, 390 (11) : 1931 - 1940
  • [38] Analysis of car-following behaviors based on data-driven and theory-driven car-following models: Heterogeneity and asymmetry
    Pan, Weixiu
    Zhang, Jing
    Tian, Junfang
    Cui, Fengying
    Wang, Tao
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 632
  • [39] Modelling car-following behaviour of connected vehicles with a focus on driver compliance
    Sharma, Anshuman
    Zheng, Zuduo
    Bhaskar, Ashish
    Haque, Md. Mazharul
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2019, 126 : 256 - 279
  • [40] Identification of aggressive driving from naturalistic data in car-following situations
    Kovaceva, Jordanka
    Isaksson-Hellman, Irene
    Murgovski, Nikolce
    [J]. JOURNAL OF SAFETY RESEARCH, 2020, 73 : 225 - 234