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Simulation of Cut-In by Manually Driven Vehicles in Platooning Scenarios
Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
Högskolan i Halmstad.
RISE Viktoria & Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID iD: 0000-0002-1043-8773
Swedish National Road and Transport Research Institute, Traffic and road users.ORCID iD: 0000-0002-0822-5701
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2017 (English)In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, p. 315-320Conference 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. p. 315-320
Keywords [en]
Cooperative ITS, Autonomous driving, Traffic mixture, Simulation, Adaptive cruise control, Platooning (electronic)
National Category
Transport Systems and Logistics Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
20 Road: Traffic engineering, 23 Road: ITS och traffic
Identifiers
URN: urn:nbn:se:vti:diva-12685DOI: 10.1109/ITSC.2017.8317806ISBN: 978-1-5386-1525-6 (electronic)OAI: oai:DiVA.org:vti-12685DiVA, id: diva2:1167731
Conference
2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Kanagawa, Japan, 16-19 October, 2017
Funder
Knowledge FoundationAvailable from: 2017-12-19 Created: 2017-12-19 Last updated: 2018-07-24Bibliographically approved

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Aramrattana, MaytheewatJansson, JonasNåbo, Arne

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Aramrattana, MaytheewatEnglund, CristoferJansson, JonasNåbo, Arne
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CiteExportLink to record
Permanent link

Direct link
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • text
  • asciidoc
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