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Reviewing Software for Agent-based Bicycle Flow Models

    Dana Kaziyeva, Gudrun Wallentin, Martin Loidl, Stefan Mohr, Christian Neuwirth

GI_Forum 2018, Volume 6, Issue 1, pp. 291-296, 2018/06/22

Journal for Geographic Information Science

doi: 10.1553/giscience2018_01_s291

doi: 10.1553/giscience2018_01_s291


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doi:10.1553/giscience2018_01_s291



doi:10.1553/giscience2018_01_s291

Abstract

Agent-based models are able to simulate traffic flows and reveal emergent phenomena which tend to remain hidden in traditional traffic modelling frameworks. Until now Agent-Based Modelling has primarily been employed to simulate bicycle traffic flows at a local level, but hardly ever at a regional level. The present review examines the suitability of available agent-based platforms for modelling bicycle traffic flows at regional level, outlining the requirements for doing this. From a wide range of available tools, we considered GAMA, NetLogo and MATSim for an in-depth evaluation.

Keywords: bicycle traffic flow, agent-based modelling and simulation, agent-based platforms