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

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Caecilia von Lienen - , Professur für Kraftfahrzeugtechnik, Hochschule für Technik und Wirtschaft (HTW) Dresden (Autor:in)
  • Jana Sophie Effert - , Technische Universität Dresden (Autor:in)
  • Fabian Schwarzenberger - , Hochschule für Technik und Wirtschaft (HTW) Dresden (Autor:in)
  • Lars Hannawald - , Hochschule für Technik und Wirtschaft (HTW) Dresden (Autor:in)
  • Guenther Prokop - , Professur für Kraftfahrzeugtechnik (Autor:in)

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

OriginalspracheEnglisch
TitelAdvances in Human Aspects of Transportation
Redakteure/-innenNeville Stanton
Herausgeber (Verlag)Springer
Seiten16-23
Seitenumfang8
ISBN (elektronisch)978-3-030-50943-9
ISBN (Print)978-3-030-50942-2
PublikationsstatusVeröffentlicht - 2020
Peer-Review-StatusJa

Publikationsreihe

ReiheAdvances in Intelligent Systems and Computing
Band1212 AISC
ISSN2194-5357

Konferenz

TitelAHFE Virtual Conference on Human Factors in Transportation, 2020
Dauer16 - 20 Juli 2020
StadtSan Diego
LandUSA/Vereinigte Staaten

Externe IDs

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

Schlagworte

Schlagwörter

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