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A Simulation Study on Effects of Platooning Gaps on Drivers of Conventional Vehicles in Highway Merging Situations
VTI, Sweden.
Halmstad University, Sweden.
RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems. Halmstad University, Sweden.ORCID iD: 0000-0002-1043-8773
VTI, Sweden.
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2021 (English)In: IEEE Transactions on Intelligent Transportation Systems, ISSN 1524-9050, E-ISSN 1558-0016Article in journal (Refereed) Accepted
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
Institute of Electrical and Electronics Engineers Inc. , 2021.
Keywords [en]
cooperative adaptive cruise control., cut-in, Driving simulator, highway platooning, Vehicle to vehicle communications, Highway merging, On-ramp, Public roads, Simulation studies, Traffic situations, V2V communications, Vehicle automations, Road vehicles
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-52104DOI: 10.1109/TITS.2020.3040085Scopus ID: 2-s2.0-85098774184OAI: oai:DiVA.org:ri-52104DiVA, id: diva2:1522484
Available from: 2021-01-26 Created: 2021-01-26 Last updated: 2025-09-23Bibliographically approved

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Englund, Cristofer

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