Propagating agents with macroscopic dynamic network loading: challenges and possible solutions

Paper authored by Jeroen P.T. van der Gun, Adam J. Pel and Bart van Arem in 2016.

Conference contribution presented at the 5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS 2016) in Madrid, Spain on 24 May 2016.

Journal article published in Procedia Computer Science, volume 83, pages 914–920 by Elsevier in Amsterdam, The Netherlands, ISSN 1877-0509.

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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.

Keywords: agent-based modelling, dynamic network loading, macroscopic traffic model, en-route choice.

Citation: Van der Gun, J.P.T., Pel, A.J., Van Arem, B. (2016). Propagating agents with macroscopic dynamic network loading: challenges and possible solutions. Procedia Computer Science, vol. 83, pp. 914–920. Amsterdam, The Netherlands: Elsevier. ISSN 1877-0509. Presented at the 5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS 2016). Madrid, Spain, 24 May. doi:10.1016/j.procs.2016.04.185