Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions

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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.

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Van Der Gun, J. P. T., Pel, A. J., & Van Arem, B. (2016). Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions. In Procedia Computer Science (Vol. 83, pp. 914–920). Elsevier. https://doi.org/10.1016/j.procs.2016.04.185

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