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@article{178631,
        author = {Raghu P and J Jones Lejo and Kusumanjalin S and Kokila M B and Harshad G},
        title = {Decentralized Traffic Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8728-8737},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178631},
        abstract = {Traffic congestion in urban areas leads to longer travel times, higher fuel consumption, and increased pollution. This project proposes a Decentralized Traffic Management System using blockchain-based Mobile Crowd Sensing (MCS) to address these issues. Participants use a mobile app to collect and share real-time traffic data, which is securely stored on a blockchain network, ensuring data authenticity, privacy, and decentralization. A trust-based algorithm selects reliable participants, while smart contracts manage automated rewards for contributors. The system improves traffic monitoring, enhances data security, and ensures fair compensation. Testing shows efficient performance with low latency. Future work will focus on scalability and real-world implementation.},
        keywords = {Decentralized traffic management, blockchain, mobile crowd sensing (MCS), smart contracts, real-time traffic data, data security, trust-based recruitment, and urban mobility.},
        month = {May},
        }