• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2023, Volume: 16, Issue: 18, Pages: 1332-1339

Original Article

Smart Parking System with Dynamic Pricing Model

Received Date:27 December 2022, Accepted Date:30 March 2023, Published Date:05 May 2023


Objectives: A Smart Parking System with Dynamic Pricing Model is proposed and developed for vehicle parking management using real time data collected from five popular hotspots in the city of Chennai. Methods: The proposed model is developed using polynomial regression algorithm in Python language. The vital parameters considered for training a model are: traffic data, geological distance, time of day, peak hour or not, weekend or not and especially, the number of slots available in the parking lot at the time the user wishes to book a slot in that location. Using these parameters, the model predicts an approximate price for occupying the selected parking slot. For ease of use the dynamic pricing model for parking slot is developed as a GUI using NodeJS for end users. Findings: The comparison between static (actual) price with dynamic pricing is done and from the results it is observed that the predicted price is significantly close the actual price. In addition, the dynamic pricing and the availability parking slot can be checked ahead of time for different time slots (normal, peak) to save the time and amount. Novelty: (i). Dataset collection — In which data are collected from five different locations of Chennai for both weekdays and weekends, peak time and normal time, approximately 10000 samples. (ii). Proposed techniques — Different technologies (ReactJS, MongoDB, GPS) and linear polynomial regression technique for dynamic pricing is applied for model creation using the values collected from existing live locations. (iii). Parking slot can be booked ahead of time based on user preference using GPS and the payment can be done when physically occupying the slot, the booked slot is reflected in the database and overall count is reduced by one. In overall, the proposed system reduces user productive time, fuel consumption and waiting time.

Keywords: Dynamic pricing; Polynomial regression; Prediction; Parking slot; Time of day; Occupancy


  1. Fahim A, Hasan M, Chowdhury MA. Smart parking systems: comprehensive review based on various aspects. Heliyon. 2021;7(5):1–21. Available from: https://doi.org/10.1016/j.heliyon.2021.e07050
  2. Sarker VK, Gia TN, Dhaou IB, Westerlund T. Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa. Sensors. 2020;20(17):1–22. Available from: https://doi.org/10.3390/s20174669
  3. Pham TN, Tsai MF, Nguyen DB, Dow CR, Deng DJ. A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies. IEEE Access. 2015;3:1581–1591. Available from: https://doi.org/10.1109/ACCESS.2015.2477299
  4. Poh LZ, Connie T, Ong TS, Goh MKO. Deep Reinforcement Learning-Based Dynamic Pricing for Parking Solutions. Algorithms. 2023;16(1):1–26. Available from: https://doi.org/10.3390/a16010032
  5. Kotb AO, Shen YC, Zhu X, Huang Y. iParker - A New Smart Car-Parking System Based on Dynamic Resource Allocation and Pricing. IEEE Transactions on Intelligent Transportation Systems. 2016;17(9):2637–2647. Available from: https://doi.org/10.1109/TITS.2016.2531636
  6. Mondal MA, Rehena Z, Janssen M. Smart parking management system with dynamic pricing. Journal of Ambient Intelligence and Smart Environments. 2021;13(6):473–494. Available from: https://doi.org/10.3233/AIS-210615
  7. Shangbin N, Zhenyu H, Yang Y, Zhenzhou Y, Xianyu W. CARSP: A Smart Parking System Based on Doubly Periodic Rolling Horizon Allocation Approach. Journal of Advanced Transportation. 2022;2022:1–18. Available from: https://doi.org/10.1155/2022/1373391


© 2023 Raghuraman et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee


Subscribe now for latest articles and news.