Parking choice is an essential part of individual transportation; however, many travel demand and traffic simulations do not include parking. This paper reports on a proposal for a simple parking model and describes how this model was implemented into an existing, agent-based traffic simulation. The parking model provides feedback to the traffic simulation so that the overall simulation can react to spatial differences in parking demand and supply. Simulation results of a scenario in the city of Zürich, Switzerland, demonstrated that the model could capture key elements of parking, including capacity and pricing, and could assist with designing parking-focused transport policies. The paper also discusses possible work, such as microsimulation of the search for large-scale parking.


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    Title :

    Agent-Based Parking Choice Model


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2012-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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