Open Access
Issue
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
Article Number 04015
Number of page(s) 10
Section Modern Logistics Management and Transportation Economic Analysis
DOI https://doi.org/10.1051/e3sconf/202451204015
Published online 10 April 2024
  1. Shtayat, A., Moridpour, S., Best, B., Shroff, A., Raol, D. (2020) A review of monitoring systems of pavement condition in paved and unpaved roads. J. Traffic Transp. Eng. (Engl. Ed.), 7(5): 629–638. [Google Scholar]
  2. Liu, C., Zhang, P., Xu, X. (2023) Literature review of digital twin technologies for civil infrastructure. J. Infrastruct. Intell. Resil., 2: 100050. [Google Scholar]
  3. Oliveira e Sá, J., Rebelo, F., Silva, D., Teles, G., Ramos, D., Romeu, J. (2023) A Big Data System Architecture to Support the Monitoring of Paved Roads. Infrastructures, 8: 167. [CrossRef] [Google Scholar]
  4. Li, Y., Xia, Y., Li, S. (2021) Bridge Deicing Technology Based on Conductive Concrete and Superhydrophobic Materials . Jiangsu Building Materials, 1:3 [Google Scholar]
  5. Pan, P.,Wu, S.,Xiao, F.,Pang, L.,Xiao, Y. (2015) Conductive asphalt concrete: A review on structure design, performance, and practical applications. Journal of Intelligent Material Systems and Structures, 26(7): 755–769 [CrossRef] [Google Scholar]
  6. Huang, K., Sun, R.,Wang, J., Shi, X., Lei, H. (2023) Anti-Condensation Performance of a New Superhydrophobic Coating for Pavements. Materials, 16: 5793. [CrossRef] [PubMed] [Google Scholar]
  7. Gao, Y., Qian, S., Li, Z., et al. (2021) Digital twin and its application in transportation infrastructure. In: 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI). Beijing. 298-301. [CrossRef] [Google Scholar]
  8. Tao, F., Xiao, B., Qi, Q., et al. (2022) Digital twin modeling. Journal of Manufacturing Systems, 64: 372-389. [CrossRef] [Google Scholar]
  9. Xiao, Y., Yu, S., Wu, K., et al. (2007) Radio frequency identification: technologies, applications, and research issues. Wireless Communications and Mobile Computing, 7(4): 457-472. [CrossRef] [Google Scholar]
  10. Moghavvemi, M., Seng, L. C. (2004) Pyroelectric infrared sensor for intruder detection. In: IEEE Region 10 Conference TENCON 2004. Chiang Mai. 656-659. [Google Scholar]
  11. Blewitt, G. (1997) Basics of the GPS technique: observation equations. Geodetic applications of GPS, 1: 46. [Google Scholar]
  12. Boehler, W.,Vicent, M. B., Marbs, A. (2003) Investigating laser scanner accuracy. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 34(Part 5): 696-701. [Google Scholar]
  13. Li, D.,Yao, Y.,Shao, Z. (2021) New mission for surveying, mapping and geomatics in Smart Earth era. Science of Surveying and Mapping, 37(6): 5-8. [Google Scholar]
  14. Zhang, S., Wu, G., Costeira, J. P., et al. (2017) Understanding traffic density from large-scale web camera data. In: 2017 Proceedings of the IEEE conference on computer vision and pattern recognition. Honolulu. 5898-5907. [Google Scholar]
  15. Wang, H., Chen, Q., Dong, Z., et al. (2022) A Geomagnetic Sensor Dataset for Traffic Flow Prediction. In: 2022 IEEE International Conference on Big Data. San Francisco. 2419-2422. [CrossRef] [Google Scholar]
  16. Kong, T., Hu, T., Zhou, T., et al. (2021) Data construction method for the applications of workshop digital twin system. Journal of Manufacturing Systems, 58: 323-328. [CrossRef] [Google Scholar]
  17. Li, C., Liu, J., Wang, L., Chen, Y. (2022) The application of digital twins in smart cities. China Inspection Body & Laboratory, 4: 3. [Google Scholar]
  18. Costin, A., Adibfar, A., Hu, H., et al. (2018) Building Information Modeling (BIM) for transportation infrastructure–Literature review, applications, challenges, and recommendations. Automation in construction, 94: 257-281. [CrossRef] [Google Scholar]
  19. Gao, X., Yang, L., Luo, X. (2022) Construction and Development of Digital Twin City. Intelligent Building & Smart City, 7: 3. [Google Scholar]
  20. White, G., Zink, A., Codecá, L., et al. (2021) A digital twin smart city for citizen feedback. Cities, 110: 103064. [CrossRef] [Google Scholar]
  21. Nie, Z. (2011) Study and application of the smart car control algorithm. In: 2011 IEEE International Conference on Information and Management Engineering. Zhengzhou. 13. [Google Scholar]
  22. Jiang, F., Ma, L., Broyd, T., Chen, W., Luo, H. (2022) Digital twin enabled sustainable urban road planning. Sustainable Cities and Society, 78: 103645. [CrossRef] [Google Scholar]
  23. Kumar, A., Sah, B., Singh, A. R., (2017) et al. A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews, 69: 596-609. [CrossRef] [Google Scholar]
  24. Asadabadi, M. R., Chang, E., Saberi, M. (2019) Are MCDM methods useful? A critical review of analytic hierarchy process (AHP) and analytic network process (ANP). Cogent Engineering, 6: 1623153. [CrossRef] [Google Scholar]
  25. Lee, H. C., Chang, C. T. (2018) Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan. Renewable and sustainable energy reviews, 92: 883-896. [CrossRef] [Google Scholar]
  26. Zhu, J., Wu, P. (2022) BIM/GIS data integration from the perspective of information flow. Automation in Construction, 136: 104166. [CrossRef] [Google Scholar]
  27. Al-Mansoori, T., Abdalkadhum, A., Al-Husainy, A. S. (2020) A GIS-Enhanced pavement management system: a case study in Iraq. Journal of Engineering Science and Technology, 15(4): 2639-2648. [Google Scholar]
  28. Maljaee, H., Ghiassi, B., Lourenço, P.B. (2017) Effect of synergistic environmental conditions on thermal properties of a cold curing epoxy resin. Composites Part B, 113: 152-163. [CrossRef] [Google Scholar]
  29. Wang, R., Xiong, Y., Yue, M., Hao, M., Yue, J. (2020) Investigating the effectiveness of carbon nanomaterials on asphalt binders from hot storage stability, thermodynamics, and mechanism perspectives. Journal of Cleaner Production, 276: 124180. [CrossRef] [Google Scholar]
  30. Li, Y., Xu, R., Yi, S. (2018) Performance Study of ZnO Super-hydrophobic Surface Material on Pavement Anti Icing Technology. Journal of Wuhan University of Technology(Transportation Science & Engineering), 42(02): 57-61. [Google Scholar]
  31. FENG, X., YANG, Z. (2014) Research on Pavement Performance of Conductive Fiber Carbon Asphalt Mortar. THE WORLD OF BUILDING MATERIALS, 35(6):5 [Google Scholar]

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