Open Access Open Access  Restricted Access Subscription Access

Optimizing Parking Management with Spotio: An IoT-Driven Approach

Athish Raj U K, Athul Devaraj M, Helna J, Sandra P, Sreena S

Abstract


”Spotio” is an IoT-based Smart Parking System designed to optimize parking management and enhance the user experience in urban areas. By integrating smart sensors into parking spaces, Spotio provides real-time updates on parking availability, enabling users to easily find and reserve spots via a mobile app. The system reduces traffic congestion and improves space utilization, while data analytics help facility managers make informed decisions for greater operational efficiency. Spotio offers a sustainable, convenient, and user-friendly solution for modern urban parking challenges.


Full Text:

PDF

References


A. Javaheri, S. S. Channamallu, S. Kermanshachi, J. M. Rosenberger,

A. Pamidimukkala, C. Kan, and G. Hladik, “Evaluating Impact of Smart Parking Systems on Parking Violations,” IEEE Access, 2024.

R. Rathore, A. I. Mohammed, G. Saranraj, A. Kumar, J. D. Kumar, and

V. Jaitwal, “Optimization and Performance Evaluation of Sensor-Based Smart Parking Systems: A Case Study Approach,” in Proc. 1st Int. Conf. Advances in Computing, Communication and Networking (ICAC2N), 2024, pp. 1383–1388.

Y. M. Dalal, D. K. Raja, and U. A. Kumar, “Eco Park: A Low-Cost and Sustainable Approach for Smart Parking Systems,” in Proc. World Conf. Communication Computing (WCONF), 2023, pp. 1–6.

S. Agarwal, S. Gupta, P. Agarwal, G. Sharma, and V. Tripathi, “PARKIT: An android-based real-time smart parking system using IoT,” in Proc. 10th Int. Conf. Computing for Sustainable Global Development (INDI- ACom), 2023, pp. 401–406.

Y. Agarwal, P. Ratnani, U. Shah, and P. Jain, “IoT based smart parking system,” in Proc. 5th Int. Conf. Intelligent Computing and Control Systems (ICICCS), 2021, pp. 464–470.

Y. Saleem et al., “IoTRec: The IoT recommender for smart parking system,” IEEE Trans. Emerging Topics Comput., vol. 10, no. 1, pp. 280–296, 2020.

Y.-Y. Chu and K.-H. Liu, “IoT in vehicle presence detection of smart parking system,” in Proc. IEEE Eurasia Conf. IoT, Communication and Engineering (ECICE), 2020, pp. 56–59.

C. Ajchariyavanich et al., “Park King: An IoT-based smart parking system,” in Proc. IEEE Int. Smart Cities Conf. (ISC2), 2019, pp. 729–734.

L. F. Herrera-Quintero, J. Vega-Alfonso, D. Bermu´dez, L. A. Marentes, and K. Banse, “ITS for Smart Parking Systems, towards the creation of smart city services using IoT and cloud approaches,” in Proc. Smart City Symp. Prague (SCSP), 2019, pp. 1–7.

R. M. Nieto, A´ . Garcia-Martin, A. G. Hauptmann, and J. M. Martinez, “Automatic vacant parking places management system using multicam- era vehicle detection,” IEEE Trans. Intell. Transp. Syst., vol. 20, no. 3,

pp. 1069–1080, 2018.


Refbacks

  • There are currently no refbacks.