Smart car parking mobile application based on RFID and IoT

被引:5
|
作者
Saeliw A. [1 ]
Hualkasin W. [1 ]
Puttinaovarat S. [1 ]
Khaimook K. [2 ]
机构
[1] Faculty of Science and Industrial Technology, Prince of Songkla University, Surat Thani Campus, Surat Thani
[2] Ramkhamhaeng University, Bangkok
关键词
IoT; Mobile Application; RFID; Smart Car Parking;
D O I
10.3991/ijim.v13i05.10096
中图分类号
学科分类号
摘要
The common problem that is mostly found in urban areas and the organizations that provide services to large numbers of people such as government agencies, universities, department stores and hospitals, is the insufficient car parking areas. This problem is the result of the continually increasing number of vehicles. Furthermore, the car parking management is also insufficient, and the service users thus waste their time and fuel searching for an available parking space. The objective of this research was to develop a mobile application for smart car parking using Radio-Frequency Identification (RFID) and the Internet of Things (IoT), which can detect the available parking spaces, thereby saving time for people. Moreover, the parking area management is more efficient as it minimizes the limitations of the conventional system in which the users have to access a web application that is unable to automatically alert them when the status of a parking space has changed. Additionally, the data can be applied to the management and planning, such as analyzing the numbers of vehicles daily to compare with the number of parking spaces to determine whether it is sufficient or not in order to appropriately improve and provide more parking spaces. © 2019 International Association of Online Engineering.
引用
收藏
页码:4 / 14
页数:10
相关论文
共 50 条
  • [21] A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and Implementation
    Ji, Zhanlin
    Ganchev, Ivan
    O'Droma, Mairtin
    Zhao, Li
    Zhang, Xueji
    SENSORS, 2014, 14 (12) : 22372 - 22393
  • [22] A Review on Smart IOT Based Parking System
    Saleem, Adil Ali
    Siddiqui, Hafeez Ur Rehman
    Shafique, Rahman
    Haider, Abdullah
    Ali, Muhammad
    RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING (SCDM 2020), 2020, 978 : 264 - 273
  • [23] Deep Learning-Based Mobile Application Design for Smart Parking
    Canli, H.
    Toklu, S.
    IEEE ACCESS, 2021, 9 : 61171 - 61183
  • [24] IoT-based smart parking system in smart city
    Gaikwad D.P.
    Agarwal A.
    Rajale O.
    Agrawal R.
    Ranalkar S.
    International Journal of Vehicle Information and Communication Systems, 2022, 7 (03) : 306 - 320
  • [25] User Preference Recommendation on Mobile Car Parking Application
    Srisura, Benjawan
    Wan, Charoenkeith
    Sae-Lim, Daran
    Meechoosup, Parin
    Win, Khin Mar
    2018 6TH IEEE INTERNATIONAL CONFERENCE ON MOBILE CLOUD COMPUTING, SERVICES, AND ENGINEERING (MOBILECLOUD 2018), 2018, : 59 - 64
  • [26] A Smart Parking System Based on Mini PC Platform and Mobile Application for Parking Space Detection
    Sobeslav, Vladimir
    Horalek, Josef
    MOBILE INFORMATION SYSTEMS, 2020, 2020 (2020)
  • [27] Cloud and IoT based Smart Car Parking System by using Mamdani Fuzzy Inference System (MFIS)
    Alyas, Tahir
    Ahmad, Gulzar
    Saeed, Yousaf
    Asif, Muhammad
    Farooq, Umer
    Kanwal, Asma
    ISECURE-ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 2019, 11 (03): : 153 - 160
  • [28] SMART CAR PARKING SYSTEM
    Sumathi, G.
    Vaishnavi, A.
    Madhumithra, S.
    Keerthika, D.
    Sriniya, C.
    INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION, 2022, 14 (04) : 461 - 465
  • [29] Application of technology to car parking facilities in Asian smart cities
    Lam, Patrick T. I.
    Yang, Wenjing
    JOURNAL OF FACILITIES MANAGEMENT, 2019, 17 (02) : 142 - 156
  • [30] PSPS: An IoT Based Predictive Smart Parking System
    Lenka, Rakesh Kumar
    Barik, Rabindra K.
    Das, Nihal Kumar
    Agarwal, Kriti
    Mohanty, Debesh
    Vipsita, Swati
    2017 4TH IEEE UTTAR PRADESH SECTION INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND ELECTRONICS (UPCON), 2017, : 311 - 317