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
Route travel time estimation using low-frequency floating car data
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.ORCID iD: 0000-0001-8750-8242
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.ORCID iD: 0000-0002-4106-3126
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
2013 (English)In: 2013 16th International IEEE Conference on Intelligent Transportation Systems - (ITSC): Intelligent Transportation Systems for All Modes, IEEE conference proceedings, 2013, 2292-2297 p.Conference paper, Published paper (Refereed)
Abstract [en]

The paper develops a non-parametric method for route travel time estimation using low-frequency floating car data (FCD). While most previous work has focused on link travel time estimation, the method uses FCD observations directly for estimating the travel time distribution on a defined route. A list of potential biases associated with FCD is presented and discussed. For each source of bias, a correction method for the observations is proposed. The estimation method is implemented using FCD data from taxis in Stockholm, Sweden. Estimates are compared to observed travel times for two routes equipped with automatic number plate recognition (ANPR) cameras. The mean travel time estimates incorporating all bias corrections perform equally well or better than the link-based approach in terms of RMSE, and estimated percentiles show a good match to ANPR.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 2292-2297 p.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-138257DOI: 10.1109/ITSC.2013.6728569ISI: 000346481000367Scopus ID: 2-s2.0-84894335977ISBN: 978-1-4799-2914-6 (print)OAI: oai:DiVA.org:kth-138257DiVA: diva2:680658
Conference
2013 16th International IEEE Conference on Intelligent Transportation Systems - (ITSC), October 6-9, 2013 – Kurhaus – The Hague, The Netherlands
Note

QC 20140218. TSC import 2408 2013-12-17

Available from: 2013-12-18 Created: 2013-12-18 Last updated: 2015-12-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Rahmani, MahmoodJenelius, Erik

Search in DiVA

By author/editor
Rahmani, MahmoodJenelius, ErikKoutsopoulos, Haris
By organisation
Traffic and LogisticsCentre for Transport Studies, CTSTransport and Location Analysis
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 54 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