Influences of Personal Driving Styles and Experienced System Characteristics on Driving Style Preferences in Automated Driving

Author:

Vasile Laurin1,Seitz Barbara1,Staab Verena2ORCID,Liebherr Magnus2ORCID,Däsch Christoph1,Schramm Dieter2ORCID

Affiliation:

1. Department of Automated Driving Systems, Mercedes-Benz AG, 70372 Stuttgart, Germany

2. Institute for Mechatronics, University Duisburg-Essen, 47057 Duisburg, Germany

Abstract

As automated driving technology continues to advance, the question of how users prefer to be driven in their new, more passive role is becoming increasingly relevant. In this paper, a real-world study on a German motorway with 42 participants was conducted to analyze driving style preferences for conditional automated driving, taking the participants’ personal driving style into account. In the first part, participants’ personal driving style (PDS) was recorded during a manual drive in the first half on a given route. For the second half, participants were asked to demonstrate their desired driving style (DDS) for conditional automated driving. In the second part, participants were driven on the same route in a defensive automated vehicle (AV) while rating driving comfort and safety. Subsequently, the relationship between driving style differences and ratings was analyzed. Furthermore, a comparison between PDS and DDS was performed. The results show that very defensive to moderate drivers perceived the AV’s driving style, being similar to their own, as equally safe but significantly more comfortable than moderate to very aggressive drivers. No influence of driving style differences was found on the increase in trust. However, a significant increase in trust after experiencing an automated vehicle has been observed. Furthermore, the rated system characteristics of anthropomorphism, safety, and overall driving strategy had a significant influence on driving style preferences for AVs. This study makes an important contribution to answering the question of how users want to be driven in conditional automated driving.

Funder

Open Access Publication Fund of the University of Duisburg-Essen

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference81 articles.

1. SAE International (2021). SAE J3016: Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles, SAE.

2. Schramm, D., and Schweig, S. (2020). Altersgerechte Fahrerassistenzsysteme: Technische, Psychologische und Betriebswirtschaftliche Aspekte, Springer Fachmedien Wiesbaden.

3. Hartwich, F., Beggiato, M., Dettman, A., and Krems, J. (2015, January 10–11). Drive me comfortable—Customized automated driving styles for younger and older drivers. Proceedings of the 8. VDI-Tagung “Der Fahrer im 21. Jahrhundert”, Braunschweig, Germany.

4. In the passenger seat: Investigating ride comfort measures in autonomous cars;Elbanhawi;IEEE Intell. Transp. Syst. Mag.,2015

5. Peng, C., Merat, N., Romano, R., Hajiseyedjavadi, F., Paschalidis, E., Wei, C., Radhakrishnan, V., Solernou, A., Forster, D., and Boer, E. (Hum. Factors, 2022). Drivers’ Evaluation of Different Automated Driving Styles: Is It both Comfortable and Natural?, Hum. Factors, online first.

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