Abstract
Paper presents a simulation model of a parking lot operation based on the object-oriented approach. The proposed model considers stochastic nature of demand for parking services: demand is described as a couple of stochastic variables – time interval between vehicles arrival to a parking lot and a parking duration. Using Python implementation of the model, the simulation experiment was carried out in order to define functional dependence between the probability of servicing the vehicle at the parking lot and numeric parameters of demand for parking services. On the grounds of the obtained simulation results, the formula for estimations of a parking lot optimal capacity was defined.
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Naumov, V. (2019). Estimations of Parking Lot Capacity Using Simulations of Parking Demand as Flow of Requests for Services. In: Sierpiński, G. (eds) Integration as Solution for Advanced Smart Urban Transport Systems. TSTP 2018. Advances in Intelligent Systems and Computing, vol 844. Springer, Cham. https://doi.org/10.1007/978-3-319-99477-2_13
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DOI: https://doi.org/10.1007/978-3-319-99477-2_13
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