JOURNAL ARTICLE

AHI: Smart Logistics for Autonomous Transport Using IoT and Blockchain Technology.

  • Published In: International Journal of Cooperative Information Systems, 2023, v. 32, n. 3. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Wang, Bin; Wang, Yan-Li 3 of 3

Abstract

In order to improve the transportation effect of the autonomous transportation logistics system, this paper combines the Internet of Things and blockchain technology to construct an intelligent logistics system, and establishes the principle of deterministic deviation compensation based on the two-point method. Moreover, this paper calculates two deterministic deviations through the known coordinates of the starting and ending points and compensates them into the heading angle and pitch angle measured by the inertial navigation system respectively. Further, this paper uses the basic formula of dead reckoning to calculate the trajectory after compensation to achieve the effect of improving positioning accuracy. Finally, this paper constructs an autonomous transportation intelligent logistics system based on the Internet of Things and blockchain technology. The experimental research results show that the simulation effect of the autonomous transportation intelligent logistics system based on the Internet of Things and blockchain technology is very good. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Cooperative Information Systems. 2023/09, Vol. 32, Issue 3, p1
  • Document Type:Article
  • Subject Area:Technology
  • Publication Date:2023
  • ISSN:0218-8430
  • DOI:10.1142/S0218843021500064
  • Accession Number:170078704
  • Copyright Statement:Copyright of International Journal of Cooperative Information Systems is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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