Eco-Driving Performance Assessment With in-Car Visual and Haptic Feedback Assistance

被引:33
|
作者
Azzi, S. [1 ,2 ]
Reymond, G. [1 ]
Merienne, F. [2 ]
Kemeny, A. [1 ,2 ]
机构
[1] RENAULT, Tech Ctr Simulat, F-78288 Guyancourt, France
[2] Arts & Metiers ParisTech, Le2i, CNRS, Inst Image, F-71100 Chalon Sur Saone, France
关键词
Eco-driving; active gas pedal; in-car assistance; haptic feedback; driving simulator; SIMULATION; PERCEPTION; VALIDITY;
D O I
10.1115/1.3622753
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this experiment, 28 participants completed an urban driving task in a highly immersive driving simulator at Renault's Technical Centre for Simulation. This simulator provides a 150 deg field of view in a fully instrumented cockpit. Two different eco-driving assistance devices were added: a visual display on the midconsole and a force feedback system on the gas pedal, in order to apply an additionnal reaction torque on drivers' foot. The feedback information was computed by comparing the car's instant acceleration with an optimal acceleration level based on a proprietary consumption model of a Renault diesel engine. This experiment has three main goals: I. Assess the contribution of verbal instructions to eco-driving performance; II. Quantify the additional contribution generated by two eco-driving assistance systems (visual and haptic); III. Measure drivers' acceptance of haptic eco-driving assistance system. Basic eco-driving instructions, such as changing gears under 2000 Rpm, yield significant decrease of polluting emissions. Assisting drivers with visual, haptic, or visual-haptic on-board devices, in addition to low engine speed verbal instructions, lead to supplementary significant savings of polluting emissions. There is no significant difference between assistance feedback type; suggesting that the haptic feedback provides the same ecoperformance as visual feedback. In particular, subjects show good adaptation to the haptic feedback pedal at first utilization of the system. They apparently relied more on haptic modality to achieve the eco-driving task, when they used both visual and haptic assistance. [DOI: 10.1115/1.3622753]
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Direct or indirect sensor enabled eco-driving feedback: Which preference do corporate car drivers have?
    Tulusan, Johannes
    Staake, Thorsten
    Fleisch, Elgar
    PROCEEDINGS OF 2012 INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS, 2012, : 39 - 46
  • [32] Designing Haptic Effects on an Accelerator Pedal to Support a Positive Eco-Driving Experience
    de Ruiter, Alex
    Alonso, Miguel Bruns
    AUTOMOTIVEUI'19: PROCEEDINGS OF THE 11TH ACM INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, 2019, : 319 - 328
  • [33] Continuous versus intermittent presentation of visual eco-driving advice
    Kircher, Katja
    Fors, Carina
    Ahlstrom, Christer
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2014, 24 : 27 - 38
  • [34] An Evaluation of Touch and Pressure-Based Scrolling and Haptic Feedback for In-Car Touchscreens
    Ng, Alexander
    Brewster, Stephen
    AUTOMOTIVEUI 2017: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, 2017, : 11 - 20
  • [35] Eco-Driving Assistance System for a Manual Transmission Bus Based on Machine Learning
    Ma, Hongjie
    Xie, Hui
    Brown, David
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (02) : 572 - 581
  • [36] Eco-Driving Assistance System for Electric Vehicles based on Speed Profile Optimization
    Lin, Xiaohai
    Goerges, Daniel
    Liu, Steven
    2014 IEEE CONFERENCE ON CONTROL APPLICATIONS (CCA), 2014, : 629 - 634
  • [37] Incorporating Driver Preferences Into Eco-Driving Assistance Systems Using Optimal Control
    Fleming, James
    Yan, Xingda
    Lot, Roberto
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (05) : 2913 - 2922
  • [38] Providing eco-driving feedback to corporate car drivers: what impact does a smartphone application have on their fuel efficiency?
    Tulusan, Johannes
    Staake, Thorsten
    Fleisch, Elgar
    UBICOMP'12: PROCEEDINGS OF THE 2012 ACM INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING, 2012, : 212 - 215
  • [39] Using Floating Car Data to Analyse the Effects of ITS Measures and Eco-Driving
    Garcia-Castro, Alvaro
    Monzon, Andres
    SENSORS, 2014, 14 (11) : 21358 - 21374
  • [40] A comparison of motivational and informational contexts for improving eco-driving performance
    McConky, Katie
    Chen, Roger B.
    Gavi, Glenn R.
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2018, 52 : 62 - 74