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Simulation of cut-in by manually driven vehicles in platooning scenarios
Halmstad University, Sweden ; VTI Swedish National Road and Transport Research Institute, Sweden.
Halmstad University, Sweden.
RISE - Research Institutes of Sweden, ICT, Viktoria. Halmstad University, Sweden.ORCID iD: 0000-0002-1043-8773
VTI Swedish National Road and Transport Research Institute, Sweden.
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2017 (English)In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2017Conference paper, Published paper (Refereed)
Abstract [en]

In the near future, Cooperative Intelligent Transport System (C-ITS) applications are expected to be deployed. To support this, simulation is often used to design and evaluate the applications during the early development phases. Simulations of C-ITS scenarios often assume a fleet of homogeneous vehicles within the transportation system. In contrast, once C-ITS is deployed, the traffic scenarios will consist of a mixture of connected and non-connected vehicles, which, in addition, can be driven manually or automatically. Such mixed cases are rarely analysed, especially those where manually driven vehicles are involved. Therefore, this paper presents a C-ITS simulation framework, which incorporates a manually driven car through a driving simulator interacting with a traffic simulator, and a communication simulator, which together enable modelling and analysis of C-ITS applications and scenarios. Furthermore, example usages in the scenarios, where a manually driven vehicle cut-in to a platoon of Cooperative Adaptive Cruise Control (CACC) equipped vehicles are presented.

Place, publisher, year, edition, pages
2017.
Keywords [en]
Adaptive cruise control, Intelligent systems, Simulators, Traffic control, Vehicle actuated signals, Vehicles, Connected vehicles, Cooperative adaptive cruise control, Intelligent transport systems, Manually driven vehicles, Modelling and analysis, Simulation framework, Traffic simulators, Transportation system, Fleet operations
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-35836DOI: 10.1109/ITSC.2017.8317806Scopus ID: 2-s2.0-85046266126ISBN: 9781538615256 (print)OAI: oai:DiVA.org:ri-35836DiVA, id: diva2:1261519
Conference
20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017, 16 October 2017 through 19 October 2017
Note

 Funding details: UNITN, Università degli Studi di Trento

Available from: 2018-11-07 Created: 2018-11-07 Last updated: 2018-12-21Bibliographically approved

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Englund, Cristofer

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Output format
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