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Data Exchange and Sharing Framework for Intermodal Transport Based on Blockchain and Edge Computing

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Cognitive Computation and Systems (ICCCS 2023)

Abstract

As an intensive and efficient way of cargo transportation, intermodal transport can take full advantage of various modes of transport through effective combinations. However, there is a problem of lacking effective data connection between collaborators leading to broken business processes, reduced collaborative efficiency, and hindering the development of the intermodal transport industry. In this paper, we propose a data exchange and sharing framework by integrating blockchain technology and edge computing technology to realize efficient, convenient, safe, and credible data exchange, which also conveniently connects different partners of various modes of transport and then promotes cross-sector and cross-system data exchange and sharing in the intermodal transport environment. Furthermore, the ecosystem of intermodal transport data exchange and sharing based on the proposed framework can effectively meet the requirements of scalability, security, believability, and privacy protection.

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Acknowledgments

This work was supported in part by the Shandong Provincial Natural Science Foundation under Grant ZR2022MF331, the National Natural Science Foundation of China under Grant 61833005, the Development Plan of Youth Innovation Team in Universities of Shandong Province, and the Linyi Institute of Commerce and Logistics Technology Industry under Grant CYY-TD-2022-003.

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Correspondence to Deqian Fu or Jianlong Qiu .

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Wang, L., Zhang, X., Xu, L., Fu, D., Qiu, J. (2024). Data Exchange and Sharing Framework for Intermodal Transport Based on Blockchain and Edge Computing. In: Sun, F., Li, J. (eds) Cognitive Computation and Systems. ICCCS 2023. Communications in Computer and Information Science, vol 2029. Springer, Singapore. https://doi.org/10.1007/978-981-97-0885-7_24

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  • DOI: https://doi.org/10.1007/978-981-97-0885-7_24

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