Research on Service-Level Evaluation Method of Inland Waterways Based on Maximum Queue Length Prediction-Reference-Cited by-同舟云学术

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Research on Service-Level Evaluation Method of Inland Waterways Based on Maximum Queue Length Prediction

Published:2024-09 Issue:3 Volume:10 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Liu Chao¹,Shen Xinyi²,Lai Weixin³

Affiliation:

1. Associate Professor, Dept. of Navigation, Anhui Communications Vocational & Technical College, Hefei 230000, China.

2. Maritime Risk & Behavioral Sciences Lab, School of Navigation, Jimei Univ., Xiamen 361021, China (corresponding author).

3. Maritime Risk & Behavioral Sciences Lab, School of Navigation, Jimei Univ., Xiamen 361021, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1248

Reference19 articles.

1. A cellular automata ship traffic flow model considering navigation rules in narrowing channel

2. A variable selection method based on mutual information and variance inflation factor

3. Forecasting the impacts of climate change on inland waterways

4. Influences of the separation distance, ship speed and channel dimension on ship maneuverability in a confined waterway

5. An advanced decision-making model for determining ship domain size with a combination of MCDM and fuzzy logic

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