Print Email Facebook Twitter Smart parking management system with dynamic pricing Title Smart parking management system with dynamic pricing Author Mondal, Md Ashifuddin (Narula Institute of Technology; Aliah University) Rehena, Zeenat (Aliah University) Janssen, M.F.W.H.A. (TU Delft Information and Communication Technology) Date 2021 Abstract Smart parking is becoming more and more an integral part of smart city initiatives. Utilizing and managing parking areas is a challenging task as space is often limited, finding empty spaces are hard and citizens want to park their vehicles close to their preferred places. This becomes worse in important/posh areas of major metropolitan cities during rush hour. Due to unavailability of proper parking management system, citizens have to roam around a lot in order to find a suitable parking area. This leads to the wastage of valuable time, unnecessary fuel consumption and environmental pollution. This paper proposes a smart parking management system (SPMS) based on multiple criteria based parking space reservation algorithm (MCPR) that allows the driver/owner of vehicles to find and reserve most appropriate parking space from anywhere at any time. The system also considers the concept of dynamic pricing strategy for calculating parking charge in order to gain more revenue by the government agencies as well as private investors. The system employs sensors to calculate concentration index, average inter-arrival time of vehicles of a parking area for better parking management and planning. The simulation results show that proposed system reduces the average extra driving required by the users to find a parking area and hence it will reduce traffic congestion, which in turn reduces air pollution caused by unnecessary driving to find a proper parking area. Subject Dynamic pricingIoTSensorsSmart citiesSmart parkingTraffic congestion To reference this document use: http://resolver.tudelft.nl/uuid:c1772715-4c6a-446c-a28b-97e939bb4176 DOI https://doi.org/10.3233/AIS-210615 Embargo date 2022-05-23 ISSN 1876-1364 Source Journal of Ambient Intelligence and Smart Environments, 13 (6), 473-494 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2021 Md Ashifuddin Mondal, Zeenat Rehena, M.F.W.H.A. Janssen Files PDF ais_2021_13_6_ais_13_6_ai ... 210615.pdf 815.13 KB Close viewer /islandora/object/uuid:c1772715-4c6a-446c-a28b-97e939bb4176/datastream/OBJ/view