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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 10, 2024.
Abstract: Transportation management in Egypt faces challenges such as congestion, inefficiency, and a lack of transparency. This work proposes a smart contract-based transportation framework to address these issues and enhance the efficiency of Egypt's transportation system. By leveraging blockchain technology, smart contracts can facilitate and enforce decentralized and immutable transportation agreements. This approach also fosters increased trust among stakeholders and improves interactions between service providers. This paper presents a conceptual framework that integrates smart contracts, blockchain technology, GPS data, and sensor technologies to further optimize transportation operations. Empirical analysis and case studies demonstrate the effectiveness of smart contracts in improving the shipping registration system. The survey results show that smart contracts streamline processes enhance data security, reduce costs, and improve accuracy. The proposed model, developed on the NEAR platform, outperforms traditional methods and Ethereum-based models by offering faster registration, better cost-efficiency, and improved transaction tracking. This demonstrates the potential for modernizing and optimizing Egypt’s transportation sector.
Abdullah Alshahrani, Ayman Khedr, Mohamed Belal and Mohamed Saleh, “A Smart Contract Approach for Efficient Transportation Management” International Journal of Advanced Computer Science and Applications(IJACSA), 15(10), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151074
@article{Alshahrani2024,
title = {A Smart Contract Approach for Efficient Transportation Management},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151074},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151074},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {10},
author = {Abdullah Alshahrani and Ayman Khedr and Mohamed Belal and Mohamed Saleh}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.