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Titel:

Incorporating trip chaining within online demand estimation

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Cantelmo, Guido; Qurashi, Moeid; Prakash, A. Arun; Antoniou, Constantinos; Viti, Francesco
Abstract:
Time-dependent Origin–Destination (OD) demand flows are fundamental inputs for Dynamic Traffic Assignment (DTA) systems and real-time traffic management. This work introduces a novel state-space framework to estimate these demand flows in an online context. Specifically, we propose to explicitly include trip-chaining behavior within the state-space formulation, which is solved using the well-established Kalman Filtering technique. While existing works already consider structural information and...     »
Stichworte:
OD estimation, Online calibration, Simulation-based optimization, State-space modeling, Kalman Filter, Activities, Trip chain
Zeitschriftentitel:
Transportation Research Part B: Methodological
Jahr:
2020
Band / Volume:
132
Seitenangaben Beitrag:
171 - 187
Volltext / DOI:
doi:10.1016/j.trb.2019.05.010
WWW:
http://www.sciencedirect.com/science/article/pii/S0191261518311470
Print-ISSN:
0191-2615
Hinweise:
23rd International Symposium on Transportation and Traffic Theory (ISTTT 23)
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