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Estimations of Parking Lot Capacity Using Simulations of Parking Demand as Flow of Requests for Services

Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 844)

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.

Keywords

Parking lot capacity Regression analysis Python programming Computer simulations 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Transport Systems DepartmentCracow University of TechnologyKrakowPoland

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