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A Novel Risk Indicator for Cut-In 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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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.
Keywords [en]
Intelligent systems, Intelligent vehicle highway systems, Risk perception, Vehicles, Collision risks, Driving simulation, Highway merging, Manually driven vehicles, Rear-end collisions, Risk indicators, Time to collision, Accidents
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-52164DOI: 10.1109/ITSC45102.2020.9294315Scopus ID: 2-s2.0-85099646310ISBN: 9781728141497 (print)OAI: oai:DiVA.org:ri-52164DiVA, id: diva2:1529263
Conference
23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020, 20 September 2020 through 23 September 2020
Available from: 2021-02-17 Created: 2021-02-17 Last updated: 2021-02-17Bibliographically approved

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Englund, Cristofer

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CiteExportLink to record
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