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Zhou, Y. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
Currently, the research on ship behavior during encounters focuses on evasive behavior during specific situations with existing risks of collision. However, the preliminary selection of encounters to refine the presented ship behavior is biased. To obtain a full understanding of all ship behavior during different encounters in ports and...
journal article 2023
document
Huang, Rong (author), Zhao, Xuan (author), Yuan, Y. (author), Yu, Qiang (author), Zhou, Chenyu (author), Daamen, W. (author)
High-deck coaches form an essential component of mass transportation systems in China. Safe evacuation from high-deck coaches is facing dire challenges. However, evacuation behaviour from high-deck coaches has not been deeply understood yet. In this study, a novel conceptual framework is firstly proposed to capture the evacuation behaviour of...
journal article 2021
document
Zhou, Y. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
In ports and waterways, the impacts of external navigational factors may lead to serious incidents due to limited space for ship maneuvering. Using nautical traffic models, these incidents can be predicted in advance. In current studies of nautical traffic models, the impacts of wind and current on ship behavior are seldom considered when...
journal article 2020
document
Zhou, Y. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
Since the introduction of the Automatic Identification System (AIS), AIS data has proven to be a valuable source of ship behavior analysis using data mining. It records ship position, speed and other behavior attributes at specific time intervals in all voyages at sea and in ports. However, the current studies in ship behavior analyze the...
journal article 2019
document
Zhou, Y. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
AIS (Automatic Identification System) data have proven to be a valuable source to investigate vessel behavior. The analysis of AIS data provides a possibility to recognize vessel behavior patterns in a waterway area. Furthermore, AIS data can be used to classify vessel behavior into several categories. The analysis results would help the port...
journal article 2015
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