Volume 26 Issue 4
Apr.  2026
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LI Chang-zhen, LUO Su-su, ZHANG Zi-jian, YU Fa-yong, ZENG Xu-ming, CHEN Wei. Review of wireless communication channel characteristics and modeling research for intelligent transportation scenarios[J]. Journal of Traffic and Transportation Engineering, 2026, 26(4): 259-275. doi: 10.19818/j.cnki.1671-1637.2026.077
Citation: LI Chang-zhen, LUO Su-su, ZHANG Zi-jian, YU Fa-yong, ZENG Xu-ming, CHEN Wei. Review of wireless communication channel characteristics and modeling research for intelligent transportation scenarios[J]. Journal of Traffic and Transportation Engineering, 2026, 26(4): 259-275. doi: 10.19818/j.cnki.1671-1637.2026.077
shu

Review of wireless communication channel characteristics and modeling research for intelligent transportation scenarios

doi: 10.19818/j.cnki.1671-1637.2026.077
  • 1.

    School of Information Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China

  • 2.

    Hubei Key Laboratory of Broadband Wireless Communication and Sensor Networks, Wuhan University of Technology, Wuhan 430070, Hubei, China

  • 3.

    School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China

  • 4.

    School of Navigation, Wuhan University of Technology, Wuhan 430063, Hubei, China

Funds:

National Natural Science Foundation of China 52102399

National Natural Science Foundation of China 52401425

National Key R&D Program of China 2023YFB2603800

Key Research and Development Program of Hubei Province 2023BAB052

More Information
  • Corresponding author: ZENG Xu-ming, associate professor, PhD, E-mail: zengxvming@whut.edu.cn
  • Received Date: 2025-05-05
  • Accepted Date: 2025-09-26
  • Rev Recd Date: 2025-08-27
  • Publish Date: 2026-04-28
    Abstract
  • To promote mobile communication technologies to further empower the construction of intelligent transportation systems, the research status of communication channels in various transportation scenarios in China and abroad was reviewed from three aspects: wireless channel measurement, channel characteristics, and channel modeling. According to the application and technical requirements of different transportation systems, the relevant channel measurement and models results for road transportation, rail transportation, waterway transportation, and low-altitude scenarios were summarized respectively. In terms of channel measurement, the selection principles of typical measurement scenarios were elucidated from the perspective of the influence mechanism of communication environments on radio wave propagation; the common factors affecting radio wave propagation were summarized. In terms of channel characteristics, the influence of environmental factors on channel characteristics was analyzed, and the typical channel characteristics under different transportation scenarios were summarized and sorted out. In terms of channel models, the construction methods of channel models for different transportation scenarios were introduced, and the established reliable channel models were summarized. The results indicate that in the road transportation scenario, the wireless channel characteristics are significantly affected by the surrounding environments, such as buildings and vehicles on both sides of the road. Due to the rich dynamic scenarios, radio wave propagation frequently switches between line-of-sight and non-line-of-sight, and the resulting multipath effect and Doppler effect are obvious, which puts forward an urgent demand for low-latency and high-reliability communications; in the rail transportation scenario, the channel characteristics and models in environments such as viaducts, cuttings, stations, and tunnels are emphatically analyzed, pointing out that there is an urgent need for communication technologies to realize the highly informatized whole process of train operation (including trains and surrounding environments); in the waterway transportation scenario, the channel characteristics and models under marine and inland river environments are mainly analyzed; the time-varying non-stationarity of the channel caused by special factors such as ocean wave movement and sea surface evaporation duct in marine communications is analyzed, and the influence mechanism of multidimensional complex factors such as changeable scenarios, dynamic interference, diverse propagation, and land-water mixture on radio wave propagation in inland river communications is revealed; in the low-altitude scenario, the demands for reliable transmission of flight control and image transmission data of communication channels in complex urban environments and low-altitude dynamic airspaces are expounded. The research is helpful to deeply understand the wireless channel characteristics of different transportation scenarios and provides more reliable and efficient communication technology support for modern integrated intelligent transportation systems.

     

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