Abstract
In this paper, a smart parking system formed by the integration of smart mobile device applications and Internet of Things (IoT) technology is proposed. The system is able to guide users through the process of searching for a car park until they successfully park the vehicle in a parking lot. The features of the system can be divided into four parts: recommendation and reservation, outdoor navigation to the car park, parking lot detection, and car park indoor navigation. An algorithm is designed to compute the recommendation priority of car parks based on adjustable, given conditions. Outdoor navigation provides a dynamic guide to the user during the trip to the car park. The iBeacon is implemented in indoor navigation to locate the position of users. The RSSI value of the iBeacon is filtered through an algorithm to provide an accurate result. The performance of the iBeacon in a different set-up condition is also evaluated. A field test is performed to acquire data and investigate the operational feasibility of the proposed system.
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References
Bock F, Eggert D, Sester M (2015) On-street parking statistics using LiDAR mobile mapping. IEEE Int Conf Intell Transp Syst:2812–2818
Benhassine S, Harizi R, Mraihi R (2014) Intelligent parking management system by multi-agent approach: the case of urban area of Tunis. IEEE Int Conf Adv Logist Transp:65–71
Suryady Z, Sinniah G, Haseeb S, Siddique M, Ezani M (2014) Rapid development of smart parking system with cloud-based platforms. IEEE Int Conf Inf Commun Technol Muslim World:1–6
Ji Z, Ganchev I, O’Droma M, Zhang X (2014) A cloud-based intelligent car parking services for smart cities. URSI General Assembly and Scientific Symposium of the International Union of Radio Science, pp 1–4
Pham T, Tsai M, Nguyen D, Dow C, Deng D (2015) A cloud-based smart-parking system based on Internet-of-Things technologies. IEEE Access 3:1581–1591
Geng Y, Cassandras C (2011) A new smart parking system based on optimal resource allocation and reservations. IEEE Intell Transp Syst:979–984
Wang H, He W (2011) A reservation-based smart parking system. IEEE Comput Commun Workshops:690–695
Hashimoto S, Kanamori R, Ito T (2013) Auction-based parking reservation system with electricity trading. IEEE Conf Bus Inf:33–40
Yan G, Yang W, Rawat D, Olariu S (2011) Smartparking: a secure and intelligent parking system. IEEE Intell Transp Syst Mag 3(1):18–30
Mainetti L, Palano L, Patrono L, Stefanizzi M, Vergallo R (2014) Integration of RFID and WSN technologies in a smart parking system. IEEE Int Conf Softw Telecommun Comput Netw:104–110
Bonde D, Shende R, Gaikwad K, Kedari A, Bhokre A (2014) Automated car parking system commanded by android application. IEEE Int Conf Comput Commun Inf:1–4
Zhao X, Zhao K, Hai F (2014) An algorithm of parking planning for smart parking system. World Congr Intell Control Autom:4965–4969
Asaduzzaman A, Chidella K, Mridha M (2015) A time and energy efficient parking system using zigbee communication protocol. In: IEEE Region South East Conference, pp 1–5
Postigo C, Torres J, Menendez J (2015) Vacant parking area estimation through background subtraction and transience map analysis. IET Intell Transp Syst 9(1):835–841
Lin X, Ho T, Fang C, Yen Z, Yang B, Lai F (2015) A mobile indoor positioning system based on ibeacon technology. IEEE Int Conf Eng Med Biol Soc:4970–4973
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Tsai, MF., Kiong, Y.C. & Sinn, A. Smart service relying on Internet of Things technology in parking systems. J Supercomput 74, 4315–4338 (2018). https://doi.org/10.1007/s11227-016-1875-8
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DOI: https://doi.org/10.1007/s11227-016-1875-8