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A Novel Risk Indicator for Cut-In Situations
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle Systems and Driving Simulation..ORCID iD: 0000-0003-4951-5315
Halmstad University.
Halmstad University.
Swedish National Road and Transport Research Institute, Traffic and road users.ORCID iD: 0000-0002-0822-5701
Show others and affiliations
2020 (English)In: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020, Institute of Electrical and Electronics Engineers Inc. , 2020Conference paper, Published paper (Refereed)
Abstract [en]

Cut-in situations occurs when a vehicle intentionally changes lane and ends up in front of another vehicle or in-between two vehicles. In such situations, having a method to indicate the collision risk prior to making the cut-in maneuver could potentially reduce the number of sideswipe and rear end collisions caused by the cut-in maneuvers. This paper propose a new risk indicator, namely cut-in risk indicator (CRI), as a way to indicate and potentially foresee collision risks in cut-in situations. As an example use case, we applied CRI on data from a driving simulation experiment involving a manually driven vehicle and an automated platoon in a highway merging situation. We then compared the results with time-to-collision (TTC), and suggest that CRI could correctly indicate collision risks in a more effective way. CRI can be computed on all vehicles involved in the cut-in situations, not only for the vehicle that is cutting in. Making it possible for other vehicles to estimate the collision risk, for example if a cut-in from another vehicle occurs, the surrounding vehicles could be warned and have the possibility to react in order to potentially avoid or mitigate accidents.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020.
National Category
Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:vti:diva-15933DOI: 10.1109/ITSC45102.2020.9294315Scopus ID: 2-s2.0-85099646310ISBN: 9781728141497 (print)OAI: oai:DiVA.org:vti-15933DiVA, id: diva2:1532972
Conference
23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020, 20 September 2020 through 23 September 2020
Available from: 2021-03-03 Created: 2021-03-03 Last updated: 2025-02-14Bibliographically approved

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Aramrattana, MaytheewatJansson, JonasNåbo, Arne

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CiteExportLink to record
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Citation style
  • apa
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Output format
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