1 Mrs.P.JANAKI, 2 PALLE PRABHAS, 3 B PRANEETH REDDY, 4 ETTINI DEVENDHAR, 5 BONDALA SRIVANI 03 04 In many countries traffic congestion has become a major challenge making effective traffic management increasingly difficult for authorities Issues such as optimal route selection based on congestion levels timely communication with users and realtime allocation of parking spaces add to the complexity Although several approaches have been proposed for predicting parking prices many existing solutions tend to favor either users or parking owners and often lack adequate security measures To overcome these limitations this paper introduces a blockchain and Interplanetary File System IPFSbased parking price prediction framework known as PAADAV The proposed system enables users to reserve parking spaces in a secure and efficient manner while ensuring transparency privacy and trust for both users and parking space providers The integration of blockchain technology ensures data integrity and security while IPFS supports decentralized and costeffective data storage Additionally the system incorporates a secondprice auction mechanism to determine optimal parking prices benefiting both users and parking space owners To evaluate its performance the PAADAV model is simulated with 100 users and 40 parking slots under different auction strategies Key performance metrics analyzed include user profit owner profit overall system revenue scalability computation time and storage cost The results demonstrate that the proposed framework not only enhances security and transparency but also provides economic benefits to both users and parking slot owners Overall PAADAV offers an efficient and reliable solution for smart parking management in modern urban environments Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026