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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
31.10.2024
DOI
https://doi.org/10.7307/ptt.v36i5.606
ISSUE
2024 (Vol 36), Issue 5
LICENSE
Copyright (c) 2024 Yi ZHANG, Wenfei HU, JunWu ZHANG, Jing ZHANG
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Wireless Channel Propagation Model for Inland Waterway Bridge Scenario

Authors:

Yi ZHANG
Three Gorges University, Computer and Information Engineering College

Wenfei HU
Three Gorges University, Computer and Information Engineering College

JunWu ZHANG
Three Gorges Corporation, Three Gorges Ecological Environment Co.

Jing ZHANG
Three Gorges University, Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering

Keywords:ship-to-ship, wireless communication, inland waterway, wireless channel property, wireless channel modeling

Abstract

Intelligent shipping is a crucial part of the transportation system, while inland river intelligent shipping is a major safeguard of intelligent transportation. Compared with the studies of mobile fading channels in land-based environments, less current research has focused on channel measurements and modeling for inland waterway bridge environments. In this paper, a segmenting radio channel model is proposed for inland highway and railway combined bridges. The ship's path under the bridge was divided into three phases, and the attenuation of signal strength was modelled separately for each. Hence, it shows ship-to-ship wireless channels in different areas and path loss on inland navigation bridges. A segmented model, instead of a basic path loss model, can accurately forecast path loss and provide a practical approach in ship-to-ship wireless channel transmission scenarios over bridges. Consequently, the channel measurements and modeling in the typical inland waterway are of great significance for establishing a reliable inland navigation broadband radio communication system.

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How to Cite
ZHANG, Y. (et al.) 2024. Wireless Channel Propagation Model for Inland Waterway Bridge Scenario. Traffic&Transportation Journal. 36, 5 (Oct. 2024), 934-945. DOI: https://doi.org/10.7307/ptt.v36i5.606.

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