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Titel:

Long-distance and daily travel demand: integration of various travel markets and modelling approaches

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Llorca, Carlos; Winkler, Christian; Mocanu, Tudor; Moeckel, Rolf
Abstract:
Most travel demand models simplify the representation of trips from/to external zones. Despite the higher frequency of internal daily travel, long-distance travel cannot be neglected due to its high contribution to the travelled distance. In this paper we integrate two different models that represent those two travel segments. MITO is an agent-based model for travel demand implemented in the metropolitan area of Munich. DEMO is a macroscopic model that generates travel demand in Germany. DEMO is...     »
Stichworte:
long-distance demand, agent-based model, model integration
Zeitschriftentitel:
Procedia Computer Science Volume 151, 788-793 Procedia Computer Science 2019-01
Jahr:
2019
Band / Volume:
151
Jahr / Monat:
2019-01
Quartal:
1. Quartal
Monat:
Jan
Seitenangaben Beitrag:
788 - 793
Sprache:
en
Volltext / DOI:
doi:10.1016/j.procs.2019.04.107
WWW:
http://www.sciencedirect.com/science/article/pii/S1877050919305708
Verlag / Institution:
Elsevier B.V.
Print-ISSN:
1877-0509
Hinweise:
The 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops
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