Car Racing in a Simulator: Validation and Assessment of Brake Pedal Stiffness

Author:

de Groot S.1,Mulder M.2,Wieringa P. A.1

Affiliation:

1. BioMechanical Engineering Department Mechanical, Maritime and Materials Engineering Delft University of Technology 2628 CD Delft, The Netherlands

2. Control and Simulation Department Aerospace Engineering Delft University of Technology 2600 GB Delft, The Netherlands

Abstract

Car racing is a mentally and physically demanding sport. The track time available to train drivers and test car setups is limited. Race car simulators offer the possibility of safe, efficient, and standardized human-in-the-loop training and testing. We conducted a validation study of a race car simulator by correlating the fastest lap times of 13 drivers during training events in the simulator with their fastest lap times during real-world race events. The results showed that the overall correlation was .57 (p = .044). Next, the effect of brake pedal stiffness (soft: 5.8 N/mm vs. hard: 53.0 N/mm) on racing performance was investigated in the simulator. Brake pedal stiffness may have an important effect on drivers' lap times, but it is impractical to manipulate this variable on a race car during a real-world test session. Two independent experiments were conducted using different cars and tracks. In each experiment, participants (N = 6 in Experiment 1 and N = 9 in Experiment 2) drove alternately with the soft and hard pedal in eight 20-min sessions (Experiment 1) or six 15-min sessions (Experiment 2). Two hypotheses were tested: (1) the soft pedal yields faster cornering times for corners that include a long brake zone, and (2) the hard pedal yields more high-frequency brake forces. Experiments 1 and 2 confirmed the second hypothesis but not the first. Drivers were highly adaptable to brake pedal stiffness, and the stiff pedal elicited higher pedal forces and more high-frequent brake pedal inputs. It is concluded that the racing simulator is a valuable tool for driver assessment and for testing adoptations to the human–machine interface.

Publisher

MIT Press - Journals

Subject

Computer Vision and Pattern Recognition,Human-Computer Interaction,Control and Systems Engineering,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Table Tennis Skill Learning in VR with Step by Step Guides using Forehand Drive as a Case Study;2022 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR);2022-12

2. Virtual reality in sports coaching, skill acquisition and application to surfing: A review;Journal of Human Sport and Exercise;2019

3. Evaluating operator harvest technology within a high-fidelity combine simulator;Computers and Electronics in Agriculture;2018-05

4. Active Brake Pedal Feedback Simulator Based on Electric Drive;SAE International Journal of Passenger Cars - Electronic and Electrical Systems;2014-04-01

5. The effects of control-display gain on performance of race car drivers in an isometric braking task;Journal of Sports Sciences;2012-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3