Smart Vehicle Parking System using Web Technologies

Dr B Ramesh Associate Professor, HOD
CSIT Annamacharaya Institute ofTechnology and Sciences, Tirupati –
517520, A.P, India.ramesh.balaraju20@gmail.com
V Venu
UG Scholar,Department of CSE,Annamacharaya Institute of Technology
And Sciences, Tirupati –517520, A.P,India.Venue1323@gmail.com
P Vaishnavi Sravanthi
UG Scholar, Department of CSE,Annamacharaya Institute of Technology and
Sciences,Tirupati – 517520, A.P, India.sravanthipaturu279@gmail.com
G Swathi
UG Scholar, Department ofCSE,Annamacharaya Institute of Technlogy
and Sciences, Tirupati – 517520, A.P, India.swathinaidu0065@gmail.com

M Sai Keerthi Reddy
UG Scholar, Department of CSE,Annamacharaya Institute of Technology
and Sciences, Tirupati – 517520, A.P, India.saikeerthireddymuktapuram@gmail.com

Abstract— The factors of rapid urbanization and a steady increase in the number of vehicles have greatly increased the difficulties in managing parking in contemporary cities. The traditional parking system is highly dependent on manual processes and static data, which do not offer real-time parking space monitoring. This has led to increased traffic congestion, high fuel consumption, environmental pollution, and inefficient use of available parking space. To address these issues, this paper proposes a Smart Vehicle Parking System based on web technology, designed and developed using the Django framework. The proposed system offers real-time parking slot availability, secure user authentication, automatic slot booking, and centralized data management through a friendly web-based interface. Additionally, an exclusive administrative interface is provided for efficient parking space monitoring, parking slot management, and user and vehicle data management. Experimental results confirm that the proposed system is highly effective in reducing the time taken to search for parking space locations, minimizing booking conflicts, and improving overall parking space efficiency. Due to its scalability, cost-effectiveness, and low hardware dependency, the proposed system is highly appropriate for implementation in smart city settings and modern infrastructure.