Abstract
AbstractTo be successful, automated vehicles (AVs) need to be able to manoeuvre in mixed traffic in a way that will be accepted by road users, and maximises traffic safety and efficiency. A likely prerequisite for this success is for AVs to be able to communicate effectively with other road users in a complex traffic environment. The current study, conducted as part of the European project interACT, investigates the communication strategies used by drivers and pedestrians while crossing the road at six observed locations, across three European countries. In total, 701 road user interactions were observed and annotated, using an observation protocol developed for this purpose. The observation protocols identified 20 event categories, observed from the approaching vehicles/drivers and pedestrians. These included information about movement, looking behaviour, hand gestures, and signals used, as well as some demographic data. These observations illustrated that explicit communication techniques, such as honking, flashing headlights by drivers, or hand gestures by drivers and pedestrians, rarely occurred. This observation was consistent across sites. In addition, a follow-on questionnaire, administered to a sub-set of the observed pedestrians after crossing the road, found that when contemplating a crossing, pedestrians were more likely to use vehicle-based behaviour, rather than communication cues from the driver. Overall, the findings suggest that vehicle-based movement information such as yielding cues are more likely to be used by pedestrians while crossing the road, compared to explicit communication cues from drivers, although some cultural differences were observed. The implications of these findings are discussed with respect to design of suitable external interfaces and communication of intent by future automated vehicles.
Funder
European Union's Horizon 2020
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Philosophy
Reference57 articles.
1. Ackermann C, Beggiato M, Bluhm L-F, Krems J (2018) Vehicle movement and its potential as implicit communication signal for pedestrians and automated vehicles. In: Proceedings of the 6th humanist conference, (June), 1–7. Retrieved from http://www.humanist-vce.eu/fileadmin/contributeurs/humanist/TheHague2018/3-Ackerman.pdf
2. Alberta Transportation (2013) Traffic Safety in Alberta: 2013–2015 Communications Strategy. Retrieved from http://www.transportation.alberta.ca/Content/docType48/Production/OTSCommsStrategy13-15.pdf on 4/3/2019
3. Alessandrini A, Campagna A, Site PD, Filippi F, Persia L (2015) Automated vehicles and the rethinking of mobility and cities. Transp Res Proc 5:145–160. https://doi.org/10.1016/j.trpro.2015.01.002
4. Arizona Department of Transportation (2018) Arizona Driver License Manual and customer service guide. Retrived from https://www.azdot.gov/docs/default-source/mvd-forms-pubs/99-0117.pdf on 4/3/2019
5. California Department of Motor Vehicles (2015) California driver handbook—laws and rules of the road. Retrieved from https://www.dmv.ca.gov/portal/dmv/detail/pubs/hdbk/right_of_way on 4/3/2019
Cited by
105 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