Print Email Facebook Twitter Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions Title Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions Author van der Gun, J.P.T. (TU Delft Transport and Planning) Pel, A.J. (TU Delft Transport and Planning) van Arem, B. (TU Delft Transport and Planning) Department Transport and Planning Date 2016-04-26 Abstract While agent-based modelling of traffic demand is gaining attention, a macroscopic dynamic network loading model may be beneficial, particularly in large-scale applications. We investigate the implications of coupling such models, with inclusion of en-route choices, for the modelling of links and the determination of turning fractions, yielding useful recommendations to help select an appropriate solution scheme of the macroscopic traffic flow theory and overcome other practical challenges specifically associated with the coupling of agent-based traffic demand and macroscopic traffic propagation. Subject agent-based modellingdynamic network loadingmacroscopic traffic modelen-route choice To reference this document use: http://resolver.tudelft.nl/uuid:3a070daf-6da8-49fd-b5b0-1b71aed16235 DOI https://doi.org/10.1016/j.procs.2016.04.185 Source Procedia Computer Science1877-0509, 83 Event 5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS), 2016-05-23 → 2016-05-26, Technical University of Madrid, Madrid, Spain Part of collection Institutional Repository Document type conference paper Rights © 2016 J.P.T. van der Gun, A.J. Pel, B. van Arem Files PDF 2016_Van_der_Gun_Pel_Van_ ... utions.pdf 318.76 KB Close viewer /islandora/object/uuid:3a070daf-6da8-49fd-b5b0-1b71aed16235/datastream/OBJ/view