Estimations of parking lot capacity using simulations of parking demand as flow of requests for services
Authors:
- Vitalii Naumov
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.
- Record ID
- CUTa956829fec8c470ea9656fc34b22c808
- Publication categories
- ; ;
- Author
- Pages
- 141-149
- Other elements of collation
- wykr.; tab.; Bibliografia (liczba pozycji) - 12; Oznaczenie streszczenia - Abstr.
- Book
- Sierpiński Grzegorz Grzegorz Sierpiński (eds.): Integration as Solution for Advanced Smart Urban Transport Systems : 15th Scientific and Technical Conference "Transport Systems. Theory & Practice 2018" : selected papers, Advances in Intelligent Systems and Computing, no. 844, 2019, Cham, Springer, Springer, ISBN 978-3-319-99477-2 (eBook)
- Keywords in English
- parking lot capacity, regression analysis, Python programming, computer simulations
- DOI
- DOI:10.1007/978-3-319-99477-2_13 Opening in a new tab
- URL
- https://www.springer.com/gp/book/9783319994765 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTa956829fec8c470ea9656fc34b22c808/
- URN
urn:pkr-prod:CUTa956829fec8c470ea9656fc34b22c808
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.