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Real-Time Bus Arrival Information System: An Empirical Evaluation
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. Department of Transport and Planning, Delft University of Technology, Delft, The Netherlands .ORCID iD: 0000-0002-4506-0459
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
2016 (English)In: Journal of Intelligent Transportation Systems, ISSN 1547-2450, Vol. 20, no 2, 138-151 p.Article in journal (Refereed) Published
Abstract [en]

The provision of real-time information concerning bus arrival times could potentially reduce the uncertainty associated with public transport trips and improve the overall level-of-service. In addition, real-time predictions might enable operators to apply proactive control strategies. Even though considerable research efforts were devoted to the development of bus arrival prediction schemes, there is lack of knowledge on the performance of real-world operational systems. This paper aims to investigate the performance of a commonly deployed real-time information generation scheme. A conventionally used scheme is implemented and evaluated based on an empirical analysis. Performance metrics concerning the prediction error accuracy and reliability and their impact on expected waiting time were formulated from both passengers’ and operators’ perspective. The real-time information generator was applied on the trunk line network in Stockholm, Sweden. The accuracy and reliability of the prediction scheme was analysed by comparing the generated predictions against vehicle positioning data. This scheme was found to systematically underestimate the remaining waiting time by 6.2% on average. The provision of real-time information yields a waiting time estimate that is more than twice closer to the actual waiting times than the timetable is. This difference in waiting time expectations is equivalent to 30% of the average waiting time.

Place, publisher, year, edition, pages
Taylor & Francis, 2016. Vol. 20, no 2, 138-151 p.
Keyword [en]
Real-time information, Bus, Prediction, Waiting time, Reliability
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-165841DOI: 10.1080/15472450.2015.1011638ISI: 000372896500004Scopus ID: 2-s2.0-84927748651OAI: oai:DiVA.org:kth-165841DiVA: diva2:808903
Note

QC 20160425

Available from: 2015-04-29 Created: 2015-04-29 Last updated: 2016-04-25Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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