Trust in what? Exploring the interdependency between an automated vehicle’s driving style and traffic situations-Reference-Cited by-同舟云学术

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Trust in what? Exploring the interdependency between an automated vehicle’s driving style and traffic situations

Published:2021-01 Issue: Volume:76 Page:59-71
ISSN:1369-8478
Container-title:Transportation Research Part F: Traffic Psychology and Behaviour
language:en
Short-container-title:Transportation Research Part F: Traffic Psychology and Behaviour

Author:

Ekman Fredrick,Johansson Mikael,Karlsson MariAnne,Strömberg Helena,Bligård Lars-Ola

Funder

VINNOVA

Publisher

Elsevier BV

Subject

Applied Psychology,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference43 articles.

1. Eco-driving: An overlooked climate change initiative;Barkenbus;Energy Policy,2010

2. Objective metrics of comfort: Developing a driving style for highly automated vehicles;Bellem;Transportation research part F: Traffic psychology and behaviour,2016

3. Comfort in automated driving: An analysis of preferences for different automated driving styles and their dependence on personality traits;Bellem;Transportation research part F: Traffic psychology and behaviour,2018

4. Using thematic analysis in psychology;Braun;Qualitative Research in Psychology,2006

5. The Development of a Scale to Evaluate Trust in Industrial Human-robot Collaboration;Charalambous;International Journal of Social Robotics,2016

Cited by 10 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. Unveiling Driver Behavior Through CNN-LSTM-BILSTM Analysis of Operational Time Series Data;Lecture Notes in Networks and Systems;2024

2. Analysis of Australian public acceptance of fully automated vehicles by extending technology acceptance model;Case Studies on Transport Policy;2023-12

3. Driving Aggressively or Conservatively? Investigating the Effects of Automated Vehicle Interaction Type and Road Event on Drivers’ Trust and Preferred Driving Style;Human Factors: The Journal of the Human Factors and Ergonomics Society;2023-06-09

4. CNN-LSTM Driving Style Classification Model Based on Driver Operation Time Series Data;IEEE Access;2023

5. Automation as an enabler: Passengers’ experience of travelling with a full-length automated bus and their expectations of a future public transport system;Transportation Research Procedia;2023

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