Publications
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
An approach for systematic assessment of infrastructure automation readiness from a traffic performance perspective
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0002-0336-6943
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0002-1948-1858
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0001-6966-9077
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0003-0538-5125
2020 (English)In: Proceedings of 8th Transport Research Arena TRA 2020, 2020, p. 10-Conference paper, Published paper (Refereed)
Abstract [en]

Road authorities need tools to assess potential impacts on traffic performance due to the introduction of automated vehicles. Extended traffic modelling tools offer possibilities to estimate impacts on traffic performance metrics such as travel time, delay and capacity. However, there are large uncertainties related to the future behavior of automated vehicles, and these need to be carefully handled. The aim of this paper is to present a systematic and sound approach that can be used by road authorities to assess the automation readiness of a specific infrastructure. We present a definition of automation readiness from a traffic performance point of view, and an approach for how to estimate the automation readiness for a specific road design taking the uncertainties in the development of automated vehicles into account. The developed approach is applied to both macroscopic and microscopic use cases, demonstrating the applicability of the approach for automation readiness assessment.

Place, publisher, year, edition, pages
2020. p. 10-
Keywords [en]
Autonomous vehicle, Traffic, Simulation, Mathematical model, Forecast, Variability
National Category
Transport Systems and Logistics
Research subject
20 Road: Traffic engineering, 23 Road: ITS och traffic; 20 Road: Traffic engineering, 25 Road: Traffic theory
Identifiers
URN: urn:nbn:se:vti:diva-15037OAI: oai:DiVA.org:vti-15037DiVA, id: diva2:1412679
Conference
8th Transport Research Arena TRA 2020, April 27-30, 2020, Helsinki, Finland. (Conference canceled)
Available from: 2020-03-06 Created: 2020-03-06 Last updated: 2022-10-12Bibliographically approved

Open Access in DiVA

fulltext(437 kB)326 downloads
File information
File name FULLTEXT01.pdfFile size 437 kBChecksum SHA-512
fb2c56bdc26738873a1215708340c84ec5e0ff3ac085b4510a2c5aee498746867c44aeca2fef17393e94a9d50777f21e19a5444c698450d2027a50ddafc2340e
Type fulltextMimetype application/pdf

Authority records

Olstam, JohanJohansson, FredrikLiu, Chengxi

Search in DiVA

By author/editor
Olstam, JohanJohansson, FredrikLiu, ChengxiPereira, Iman
By organisation
Traffic analysis and logistics
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 327 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 436 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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