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Unravelling travel flow dynamics: A multi-level analysis of public transport demand and passenger reliability
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0001-6405-5914
ETRA I+D.
TU Delft.
BTH.
Vise andre og tillknytning
2018 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Smart cities and communities rely on efficient, reliable and robust transport systems. Managing urban public transport systems is becoming increasingly challenging with a pronounced shift towards multiple actors operating in a multi-modal multi-level networks. This calls for the development of an integrated passenger-focused management approach which takes advantage of multiple data sources and state-of-the-art scheduling support. The TRANS-FORM project is developing, implementing and testing a data driven decision making tool that will support smart planning and proactive and adaptive operations. The tool will integrate new concepts and methods of behavioral modelling, passenger flow forecasting and network state predictions into real-time operations. In this study we present the first step in this direction which consists of an empirical analysis of passenger flows to infer travel patterns and service reliability properties. Data mining and transport flow analysis are used to investigate network dynamics at different scales.

sted, utgiver, år, opplag, sider
2018.
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-153803DOI: 10.5281/zenodo.1483377OAI: oai:DiVA.org:liu-153803DiVA, id: diva2:1277825
Konferanse
7th Transport Research Arena TRA 2018 (TRA 2018) (TRA2018), Vienna, 16-19 April 2018
Tilgjengelig fra: 2019-01-11 Laget: 2019-01-11 Sist oppdatert: 2019-01-11

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Forlagets fullteksthttps://doi.org/10.5281/zenodo.1483377

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