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Real-Time Bus Arrival Information System: An Empirical Evaluation
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Transportvetenskap, Transportplanering, ekonomi och teknik. KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Centra, Centrum för transportstudier, CTS. Department of Transport and Planning, Delft University of Technology, Delft, The Netherlands .ORCID-id: 0000-0002-4506-0459
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Transportvetenskap, Transportplanering, ekonomi och teknik. KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Centra, Centrum för transportstudier, CTS.
2016 (engelsk)Inngår i: Journal of Intelligent Transportation Systems, ISSN 1547-2450, Vol. 20, nr 2, s. 138-151Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Taylor & Francis, 2016. Vol. 20, nr 2, s. 138-151
Emneord [en]
Real-time information, Bus, Prediction, Waiting time, Reliability
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-165841DOI: 10.1080/15472450.2015.1011638ISI: 000372896500004Scopus ID: 2-s2.0-84927748651OAI: oai:DiVA.org:kth-165841DiVA, id: diva2:808903
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QC 20160425

Tilgjengelig fra: 2015-04-29 Laget: 2015-04-29 Sist oppdatert: 2016-04-25bibliografisk kontrollert

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Totalt: 107 treff
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