Engaging in Activities while in an Automated Car Increases the Willingness to Tolerate Longer Travel Times

Esko Lehtonen*, Fanny Malin, Elina Aittoniemi, Satu Innamaa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Abstract

Automated driving can enable drivers to engage in various recreational or productive activities while the car is driving in automated mode. The current study used survey data, where the respondents rated their intention to use conditionally automated (SAE level 3) passenger cars, what activities they would engage in during the automated mode, and how much additional travel time they might accept if the car could drive in an automated mode. Engaging in recreational activities was the strongest predictor of accepting additional travel time. Resting and relaxing did not influence the accepted extra travel times. Those who accepted the longest extra travel time also considered working in a car. The cost of travel time with automated cars is influenced by recreational activities. The ability to work is important for users, who are the willing to tolerate the longest additional travel times.
Original languageEnglish
Title of host publicationShort papers of hEART 2024
Subtitle of host publication12th Symposium of the European Association for Research in Transportation
PublisherAalto University
Number of pages10
Publication statusPublished - 2024
MoE publication typeA4 Article in a conference publication
Event12th Symposium of the European Association for Research in Transportation, hEART 2024 - Aalto University, Espoo, Finland
Duration: 18 Jun 202420 Jun 2024
https://heart2024.aalto.fi/

Conference

Conference12th Symposium of the European Association for Research in Transportation, hEART 2024
Abbreviated titlehEART 2024
Country/TerritoryFinland
CityEspoo
Period18/06/2420/06/24
Internet address

Funding

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101006664. The author(s) would like to thank all partners within Hi-Drive for their cooperation and valuable contribution.

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