Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Design of Intelligent Transportation Control System Based on Blockchain Technology

  • Xia, Wei (Institute of Technology, Xi'an International University)
  • Received : 2022.06.16
  • Accepted : 2022.09.14
  • Published : 2022.12.31
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Abstract

Transportation allocation requires information such as storage location and order information. In order to guarantee the safe transmission and real-time sharing of information in all links, an intelligent transportation control system based on blockchain technology is designed. Firstly, the technical architecture of intelligent transportation information traceability blockchain and the overall architecture of intelligent transportation control system were designed. Secondly, the transportation management demand module and storage demand management module were designed, and the control process of each module was given. Then, the type of intelligent transportation vehicle was defined, the objective function of intelligent transportation control was designed, and the objective function of intelligent transportation control was constructed. Finally, the intelligent transportation control was realized by genetic algorithm. It was found that when the transportation order volume was 50×103, and the CPU occupancy of the designed system was only 11.8%. The reliability attenuation of the code deletion scheme was lower, indicating better performance of the designed system.

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References

  1. X. M. Liu, Y. L. Tian, S. H. Tang, C. L. Shang, and L. Wei, "Short-term traffic flow prediction of multisections based on time-delay modeling," Journal of Transportation Systems Engineering and Information Technology, vol. 20, no. 3, pp. 54-60,
  2. W. B. Zhang, P. L. Zhang, Z. Y. Su, and F. Sun, "Missing data repairs for road network traffic flow with selfattention graph auto-encoder networks," Journal of Transportation Systems Engineering and Information Technology, vol. 21, no. 4, pp. 90-98, 2021.
  3. F. K. Byla, "Review journal transportation in Japan: a study liteature Farah Khansabyla," Jurnal Penelitian Transportasi Darat, vol. 2, no. 3, pp. 333-339, 2021. https://www.researchgate.net/publication/354209391_Review_Jurnal_Transportation_in_Japan_A_Study_Liteature-_Farah_Khansabyla
  4. V. Golubovic-Bugarski, M. Todic, S. Petkovic, and G. Globocki-Lakic, "The requirements for the design and construction of a gas cylinders aimed for transportation of a compressed and liquefied gases," Journal of Physics: Conference Series, vol. 1781, no. 1, article no. 012036, 2021. https://doi.org/10.1088/1742-6596/1781/1/012036
  5. M. A. Sahraei, H. Duman, M. Y. Codur, and E. Eyduran, "Prediction of transportation energy demand: multivariate adaptive regression splines," Energy, vol. 224, article no. 120090, 2021. https://doi.org/10.1016/j.energy.2021.120090
  6. L. B. Elvas and J. C. Ferreira, "Intelligent transportation systems for electric vehicles," Energies, vol. 14, no. 17, article no. 5550, 2021. https://doi.org/10.3390/en14175550
  7. I. Lana, J. J. Sanchez-Medina, E. I. Vlahogianni, and J. Del Ser, "From data to actions in intelligent transportation systems: a prescription of functional requirements for model actionability," Sensors, vol. 21, no. 4, article no. 1121, 2021. https://doi.org/10.3390/s21041121
  8. S. Q. Li and K. J. Zhu, "Traffic control for AGV-based logistics sorting system," Shandong Science, vol. 35, no. 1, pp. 73-80, 2022.
  9. X. H. Jin and W. F. Liu, "Design of Control System for Rail Orthogonal Vehicle," Machinery Design & Manufacture, vol. 2020, no. 2, pp. 149-152+157, 2020.