The introduction of automated vehicles (AVs) changes the way road users interact and communicate. In AVs, informal communication such as eye contact or gestures with other road users is omitted. Because interaction should still be objectively and subjectively safe, many studies are currently focusing on the communication processes between (automated) vehicles and predominantly vulnerable road users (VRUs), like pedestrians and cyclists [1 ]. These road users are highly at risk of being fatally injured in road traffic accidents, with the WHO reporting pedestrians and cyclists account for 32 % of all fatalities in Europe [2].... This shows why it is so important to study the interaction processes between VRUs, such as cyclists, and A Vs in real traffic. The algorithms of the A Vs must be able to anticipate the behavior of VRUs and thus ensure a subjectively and objectively safe interaction (cyclists should feel and be safe a.round them). This is the aim of the present study. How do cyclists behave when they encounter an apparent A V for the first time? How do they assess the situation and on what basis do they decide to cross? To answer these questions, a field study will take place in Munich in the summer of 2022, in which such interactions will be observed and the cyclists will be interviewed afterward. The study takes place within the TEMPUS project funded by the BMDV (German Federal Ministry for Digital and Transport). [From: Introduction]
Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:82465 |
Date | 19 December 2022 |
Creators | Harkin, Anna Marie, Petzoldt, Tibor, Schade, Jens |
Publisher | Technische Universität Dresden |
Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
Language | English |
Detected Language | English |
Type | doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
Rights | info:eu-repo/semantics/openAccess |
Relation | urn:nbn:de:bsz:14-qucosa2-813602, qucosa:81360 |
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