Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
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
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Orchestration of driving simulator scenarios based on dynamic actor preparation and automated action planning
University of New South Wales,. (Research Centre for Integrated Transportation Innovation (rCITI), School of Civil and Environmental Engineering)
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.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]
Simulator (driving), Autonomous vehicle, Mathematical model
National Category
Transport Systems and Logistics
Research subject
90 Road: Vehicles and vehicle technology, 91 Road: Vehicle design and construction; 80 Road: Traffic safety and accidents, 841 Road: Road user behaviour
Identifiers
URN: urn:nbn:se:vti:diva-7819DOI: 10.1016/j.trc.2015.02.008OAI: oai:DiVA.org:vti-7819DiVA: diva2:804936
Projects
TRENoP
Funder
TrenOp, Transport Research Environment with Novel Perspectives
Available from: 2015-04-14 Created: 2015-04-14 Last updated: 2016-07-06Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Olstam, Johan
By organisation
Traffic analysis and logistics
In the same journal
Transportation Research Part C: Emerging Technologies
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 36 hits
CiteExportLink to record
Permanent link

Direct link
Cite
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
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf