Abstract
Parking choice is an essential part of individual transportation, but many travel demand and traffic simulations do not include parking. This paper proposes a simple parking model and describes how this model has been 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 of the city of Zurich demonstrate that the model is able to capture key elements of parking, including parking capacity and pricing and is able to provide help for designing parking focused transport policies. The paper also discusses possible future work, such as micro-simulation of parking search for large scale scenarios.
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