How Personal Identity Influences the Driving Behavior-Correlation Analysis with Naturalistic Driving Data

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Contributors

  • Caecilia von Lienen - , Chair of Automobile Engineering, Dresden University of Applied Sciences (HTW) (Author)
  • Jana Sophie Effert - , TUD Dresden University of Technology (Author)
  • Fabian Schwarzenberger - , Dresden University of Applied Sciences (HTW) (Author)
  • Lars Hannawald - , Dresden University of Applied Sciences (HTW) (Author)
  • Guenther Prokop - , Chair of Automobile Engineering (Author)

Abstract

In order to guarantee user acceptance and functional safety of automated driving functions, a large number of real driving maneuvers are needed to represent real possible traffic scenarios. Evidence has indicated that people had different driving characteristics based on their demographic and socio-economic characteristics as well as their sensation-seeking score or their assessment of driving costs and benefits. A detailed analysis of driver personality operated in a naturalistic driving study investigates the significant influence of driver characteristics on driving behavior using statistical analysis methods to identify different driver types.

Details

Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation
EditorsNeville Stanton
PublisherSpringer
Pages16-23
Number of pages8
ISBN (electronic)978-3-030-50943-9
ISBN (print)978-3-030-50942-2
Publication statusPublished - 2020
Peer-reviewedYes

Publication series

SeriesAdvances in Intelligent Systems and Computing
Volume1212 AISC
ISSN2194-5357

Conference

TitleAHFE Virtual Conference on Human Factors in Transportation, 2020
Duration16 - 20 July 2020
CitySan Diego
CountryUnited States of America

External IDs

ORCID /0000-0002-0679-0766/work/166325368

Keywords

ASJC Scopus subject areas

Keywords

  • Driver factors, Driver performance, Driver profiling, Driving behavior, Driving style, Human factors, Naturalistic driving, NDS