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Orchestration of driving simulator scenarios based on dynamic actor preparation and automated action planning
The University of New South Wales. (Research Centre for Integrated Transportation Innovation (rCITI), School of Civil and Environmental Engineering)
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Trafiksystem)ORCID iD: 0000-0002-0336-6943
2015 (English)In: Transportation Research Part C: Emerging Technologies, ISSN 0968-090X, E-ISSN 1879-2359, Vol. 56, 120-131 p.Article in journal (Refereed) Published
Abstract [en]

In driving simulation, a scenario includes definitions of the road environment, the traffic situation, simulated vehicles’ interactions with the participant’s vehicle and measurements that need to be collected. The scenarios need to be designed in such a way that the research questions to be studied can be answered, which commonly imply exposing the participant for a couple of predefined specific situations that has to be both realistic and repeatable. This article presents an integrated algorithm based on Dynamic Actor Preparation and Automated Action Planning to control autonomous simulated vehicles in the simulation in order to generate predefined situations. This algorithm is thus able to plan driving actions for autonomous vehicles based on specific tasks with relevant contextual information as well as handling longitudinal transportation of simulated vehicles based on the contextual information in an automated manner. The conducted experiment shows that the algorithm is able to guarantee repeatability under autonomous traffic flow. The presented algorithm can benefit not only the driving simulation community, but also relevant areas, such as autonomous vehicle and in-vehicle device design by providing them with an algorithm for target pursue and driving task accomplishment, which can be used to design a human-vehicle cooperation system in the coming era of autonomous driving.

Place, publisher, year, edition, pages
2015. Vol. 56, 120-131 p.
Keyword [en]
Driving simulators, Scenario orchestration, Surrounding vehicles, Experimental design, Autonomous vehicle
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-117059DOI: 10.1016/j.trc.2015.02.008ISI: 000356733400008OAI: oai:DiVA.org:liu-117059DiVA: diva2:805268
Projects
TRENoP
Funder
TrenOp, Transport Research Environment with Novel Perspectives
Available from: 2015-04-15 Created: 2015-04-14 Last updated: 2017-12-04

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Olstam, Johan

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
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  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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