Understanding interactions between Automated Road Transport Systems and other road users: A video analysis. (October 2019)
- Record Type:
- Journal Article
- Title:
- Understanding interactions between Automated Road Transport Systems and other road users: A video analysis. (October 2019)
- Main Title:
- Understanding interactions between Automated Road Transport Systems and other road users: A video analysis
- Authors:
- Madigan, Ruth
Nordhoff, Sina
Fox, Charles
Ezzati Amini, Roja
Louw, Tyron
Wilbrink, Marc
Schieben, Anna
Merat, Natasha - Abstract:
- Highlights: Video analysis of interactions between automated vehicles (AVs) and other road users. Investigation of the effects of road infrastructure and road user characteristics. Road infrastructure had a major impact on road users' trajectory decisions while approaching an AV. Demographic differences in interaction patterns observed. Implications for designers and developers of automated transport systems are discussed. Abstract: If automated vehicles (AVs) are to move efficiently through the traffic environment, there is a need for them to interact and communicate with other road users in a comprehensible and predictable manner. For this reason, an understanding of the interaction requirements of other road users is needed. The current study investigated these requirements through an analysis of 22 h of video footage of the CityMobil2 AV demonstrations in La Rochelle (France) and Trikala (Greece). Manual and automated video-analysis techniques were used to identify typical interaction patterns between AVs and other road users. Results indicate that road infrastructure and road user factors had a major impact on the type of interactions that arose between AVs and other road users. Road infrastructure features such as road width, and the presence or absence of zebra crossings had an impact on road users' trajectory decisions while approaching an AV. Where possible, pedestrians and cyclists appeared to leave as much space as possible between their trajectories and that ofHighlights: Video analysis of interactions between automated vehicles (AVs) and other road users. Investigation of the effects of road infrastructure and road user characteristics. Road infrastructure had a major impact on road users' trajectory decisions while approaching an AV. Demographic differences in interaction patterns observed. Implications for designers and developers of automated transport systems are discussed. Abstract: If automated vehicles (AVs) are to move efficiently through the traffic environment, there is a need for them to interact and communicate with other road users in a comprehensible and predictable manner. For this reason, an understanding of the interaction requirements of other road users is needed. The current study investigated these requirements through an analysis of 22 h of video footage of the CityMobil2 AV demonstrations in La Rochelle (France) and Trikala (Greece). Manual and automated video-analysis techniques were used to identify typical interaction patterns between AVs and other road users. Results indicate that road infrastructure and road user factors had a major impact on the type of interactions that arose between AVs and other road users. Road infrastructure features such as road width, and the presence or absence of zebra crossings had an impact on road users' trajectory decisions while approaching an AV. Where possible, pedestrians and cyclists appeared to leave as much space as possible between their trajectories and that of the AV. However, in situations where the infrastructure did not allow for the separation of traffic, risky behaviours were more likely to emerge, with cyclists, in particular, travelling closely alongside the AVs on narrow parts of the road, rather than waiting for the AV to pass. In addition, the types of interaction varied considerably across socio-demographic groups, with females and older users more likely to show cautionary behaviour around the AVs than males, or younger road users. Overall, the results highlight the importance of implementing the correct infrastructure to support the safe introduction of AVs, while also ensuring that the behaviour of the AV matches other road users' expectations as closely as possible in order to avoid traffic conflicts. … (more)
- Is Part Of:
- Transportation research. Volume 66(2019)
- Journal:
- Transportation research
- Issue:
- Volume 66(2019)
- Issue Display:
- Volume 66, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 66
- Issue:
- 2019
- Issue Sort Value:
- 2019-0066-2019-0000
- Page Start:
- 196
- Page End:
- 213
- Publication Date:
- 2019-10
- Subjects:
- Automobile drivers -- Psychology -- Periodicals
Automobile driving -- Psychological aspects -- Periodicals
Transportation -- Psychological aspects -- Periodicals
629.283019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13698478 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.trf.2019.09.006 ↗
- Languages:
- English
- ISSNs:
- 1369-8478
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274650
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British Library HMNTS - ELD Digital store - Ingest File:
- 12025.xml