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A Simulation Study on Effects of Platooning Gaps on Drivers of Conventional Vehicles in Highway Merging Situations
Halmstad University, School of Information Technology.ORCID iD: 0000-0003-4951-5315
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology. RISE Viktoria, Gothenburg, Sweden.ORCID iD: 0000-0002-1043-8773
Swedish National Road and Transport Research Institute (VTI), Sweden.
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2022 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 23, no 4, p. 3790-3796Article in journal (Refereed) Published
Abstract [en]

Platooning refers to a group of vehicles that--enabled by wireless vehicle-to-vehicle (V2V) communication and vehicle automation--drives with short inter-vehicular distances. Before its deployment on public roads, several challenging traffic situations need to be handled. Among the challenges are cut-in situations, where a conventional vehicle--a vehicle that has no automation or V2V communication--changes lane and ends up between vehicles in a platoon. This paper presents results from a simulation study of a scenario, where a conventional vehicle, approaching from an on-ramp, merges into a platoon of five cars on a highway. We created the scenario with four platooning gaps: 15, 22.5, 30, and 42.5 meters. During the study, the conventional vehicle was driven by 37 test persons, who experienced all the platooning gaps using a driving simulator. The participants' opinions towards safety, comfort, and ease of driving between the platoon in each gap setting were also collected through a questionnaire. The results suggest that a 15-meter gap prevents most participants from cutting in, while causing potentially dangerous maneuvers and collisions when cut-in occurs. A platooning gap of at least 30 meters yield positive opinions from the participants, and facilitating more smooth cut-in maneuvers while less collisions were observed.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2022. Vol. 23, no 4, p. 3790-3796
Keywords [en]
Merging, Vehicles, Roads, Automobiles, Vehicular ad hoc networks, Meters, Safety
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-43769DOI: 10.1109/TITS.2020.3040085ISI: 000776187400074Scopus ID: 2-s2.0-85098774184OAI: oai:DiVA.org:hh-43769DiVA, id: diva2:1515895
Funder
Vinnova, 2015-04881
Note

Funding: Swedish Government Agency for Innovation Systems VINNOVA through the NGEA step 2; Vehicle and Traffic Safety Centre at Chalmers SAFER

Available from: 2021-01-11 Created: 2021-01-11 Last updated: 2022-05-02Bibliographically approved

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Aramrattana, MaytheewatLarsson, TonyEnglund, Cristofer

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