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Integrating public transport into mobiTopp

Briem, Lars 1; Buck, H. Sebastian 1; Mallig, Nicolai 1; Vortisch, Peter 1; Strasser, Ben 2; Wagner, Dorothea 2; Zündorf, Tobias 2
1 Institut für Verkehrswesen (IFV), Karlsruher Institut für Technologie (KIT)
2 Institut für Theoretische Informatik (ITI), Karlsruher Institut für Technologie (KIT)


Demand and supply are both relevant for travel time in public transport. While it is obvious that the supply side in form of the timetable corresponds directly to the travel time, the demand side influences the travel time only partially, but in critical moments. During peak hours, when the demand reaches the capacity of the vehicles, the interaction between demand and supply becomes important. Overcrowded vehicles, hindering passengers to catch their chosen route, lead to longer travel times. Therefore, it is important to integrate the supply side of public transport into a travel demand model.

The supply side of public transport has been integrated into the agent-based travel demand model mobiTopp. A timetable has been implemented, which is used for two purposes. First, it serves as input for the Connection Scan Algorithm, which is used by the agents to find the routes with earliest arrival time at their destinations. Second, it is used for the movement of the public transport vehicles. The model also contains capacity constraints for vehicles, which, when activated, result in a noticeable increase in travel time.

An advanced version of the Connection Scan Algorithm allows creating travel time estimates between zones as matrices and profiles. ... mehr

DOI: 10.1016/j.future.2017.12.051
Zitationen: 2
Web of Science
Zitationen: 1
Zitationen: 2
Zugehörige Institution(en) am KIT Institut für Theoretische Informatik (ITI)
Institut für Verkehrswesen (IFV)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 06.2020
Sprache Englisch
Identifikator ISSN: 0167-739X
KITopen-ID: 1000119046
Erschienen in Future generation computer systems
Verlag Elsevier
Band 107
Seiten 1089–1096
Vorab online veröffentlicht am 29.12.2017
Nachgewiesen in Web of Science
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