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Smart Parking Applications and Its Efficiency

Author

Listed:
  • Alica Kalašová

    (Department of Road and Urban Transport, University of Žilina, Univerzitná 1, 01026 Žilina, Slovakia)

  • Kristián Čulík

    (Department of Road and Urban Transport, University of Žilina, Univerzitná 1, 01026 Žilina, Slovakia)

  • Miloš Poliak

    (Department of Road and Urban Transport, University of Žilina, Univerzitná 1, 01026 Žilina, Slovakia)

  • Zuzana Otahálová

    (Department of Road and Urban Transport, University of Žilina, Univerzitná 1, 01026 Žilina, Slovakia)

Abstract

Parking is a problem in many cities. Usually, it is not possible to build new parking lots due to insufficient available areas. This paper focuses on the parking situation in Slovak city Žilina. The authors carried out an extensive traffic survey in private and city-owned parking lots. Not only were occupancy data collected, but also the opinions of the drivers who parked there. The second half of the paper is based on results from the survey. It includes a proposal of the new intelligent parking system which can improve the efficiency of parking. This system is proposed in flowcharts and also described. The intelligent parking system with guidance to a free parking space can improve the traffic situation in cities. Drivers find a free parking space faster, which reduces congestion and various other negative externalities. On the other hand, the system has high acquisition costs and other problems. These issues of smart parking solutions are also discussed in the paper.

Suggested Citation

  • Alica Kalašová & Kristián Čulík & Miloš Poliak & Zuzana Otahálová, 2021. "Smart Parking Applications and Its Efficiency," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6031-:d:563190
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    References listed on IDEAS

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    1. Guo Chao Alex Peng & Miguel Baptista Nunes & Luqing Zheng, 0. "Impacts of low citizen awareness and usage in smart city services: the case of London’s smart parking system," Information Systems and e-Business Management, Springer, vol. 0, pages 1-32.
    2. Eirini Eleni Tsiropoulou & John S. Baras & Symeon Papavassiliou & Surbhit Sinha, 2017. "RFID-based smart parking management system," Cyber-Physical Systems, Taylor & Francis Journals, vol. 3(1-4), pages 22-41, October.
    3. Gabriel FEDORKO & Andrea ROSOVA & Vieroslav MOLNAR, 2014. "The Application Of Computer Simulation In Solving Traffic Problems In The Urban Traffic Management In Slovakia," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 9(3), pages 15-17, August.
    4. Tsekeris, Theodore & Geroliminis, Nikolas, 2013. "City size, network structure and traffic congestion," Journal of Urban Economics, Elsevier, vol. 76(C), pages 1-14.
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    Cited by:

    1. Rus, Cosmin & Leba, Monica & Risteiu, Marius & Sibisanu, Remus, 2025. "The Impact of Intelligent Parking Systems on Urban Mobility and the Role of Innovations in the Spectrum of Artificial Intelligence in the Electric Vehicle Industry," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2024), Hybrid Conference, Dubrovnik, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 5-7 September, 2024, pages 553-566, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    2. Martina Erdelić & Tonči Carić & Tomislav Erdelić & Leo Tišljarić, 2022. "Transition State Matrices Approach for Trajectory Segmentation Based on Transport Mode Change Criteria," Sustainability, MDPI, vol. 14(5), pages 1-20, February.

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