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
Impacts of Shared Autonomous Taxis in a Metropolitan Area
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Traffic Research, CTR.
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Traffic Research, CTR.
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Traffic Research, CTR.
2015 (English)In: Proceedings of the 94th annual meeting of the Transportation Research Board, Washington DC, 2015Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this paper is to provide an analysis of potential benefits of a fleet of shared autonomous taxis “aTaxis”, in this paper referred to as Shared Autonomous Vehicles  (SAV)) when replacing private car commuter trips in a metropolitan area. We develop a framework for dynamic allocation of SAVs to passenger trips, empty-vehicle routing and multi-criteria evaluation with regard to passenger waiting time, trip times and fleet size. Using a dynamic representation of current private vehicle demand for the Stockholm metropolitan area and a detailed network representation, different scenarios (varying levels of accepted passenger waiting time at origin and accepted % increase in travel time) are compared with respect to passenger travel time, number of vehicles needed and vehicle mileage. The results indicate that an SAV-based personal transport system has the potential to provide an on-demand door-to-door transport with a high level of service, using 5 % of today's private cars and parking places. In order to provide an environmental benefit and to reduce total mileage, an SAV-based personal transport system requires users to accept ride-sharing, allowing a maximum 30% increase of their travel time (13% on average) and a start time window of 10 minutes.

Place, publisher, year, edition, pages
Washington DC, 2015.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-183520OAI: oai:DiVA.org:kth-183520DiVA: diva2:912176
Conference
Proceedings of the 94th annual meeting of the Transportation Research Board, Washington DC, 2015
Note

QC 20160530

Available from: 2016-03-15 Created: 2016-03-15 Last updated: 2016-05-30Bibliographically approved

Open Access in DiVA

fulltext(8562 kB)227 downloads
File information
File name FULLTEXT01.pdfFile size 8562 kBChecksum SHA-512
705052197a86c561620aa7d9163fdd0eab9ffd0b5a9a0dcbcca235050a85755d5ec9cbe320fe2c5e53dd13d190392cf0f9d69f8e71363b9281a7e2f02ac14bda
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Burghout, WilcoRigole, Pierre JeanAndreasson, Ingmar
By organisation
Centre for Traffic Research, CTR
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 227 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: 480 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