Jump to main content
記事

Comfort in automated driving: An analysis of preferences for different automated driving styles and their dependence on personality traits

Icons representing 記事

Comfort in automated driving: An analysis of preferences for different automated driving styles and their dependence on personality traits

Material type
記事
Author
Hanna Bellemほか
Publisher
Elsevier BV
Publication date
2018-05
Material Format
Digital
Journal name
Transportation Research Part F: Traffic Psychology and Behaviour 55
Publication Page
p.90-100
View Details

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

  • CiNii Research

    Search Service
    Digital
    You can check the holdings of institutions and databases with which CiNii Research is linked at the site of CiNii Research.

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type
記事
Publication Date
2018-05
Publication Date (W3CDTF)
2018-05
Periodical title
Transportation Research Part F: Traffic Psychology and Behaviour
No. or year of volume/issue
55
Volume
55
Pages
90-100
Publication date of volume/issue (W3CDTF)
2018-05
ISSN (Periodical Title)
13698478
Publication (Periodical Title)
Elsevier BV
Target Audience
一般
Date Created (W3CDTF)
2018-03-15
Rights (production)
https://www.elsevier.com/tdm/userlicense/1.0/
https://www.elsevier.com/legal/tdmrep-license
Is Referenced By
Online Maneuver Learning and its Real-Time Application to Automated Driving System for Obstacles Avoidance
Classification of Automated Lane-Change Styles by Modeling and Analyzing Truck Driver Behavior: A Driving Simulator Study
Index of braking behaviour in two dimensions within risk perception
Data Provider (Database)
国立情報学研究所 : CiNii Research