TY - JOUR
T1 - A cellular automaton-based model of ship traffic flow in busy waterways
AU - Qi, Le
AU - Ji, Yuanyuan
AU - Balling, Robert
AU - Xu, Wenhai
N1 - Funding Information:
This research was funded by National Natural Science Foundation of China (grant number 51479156, 52031009), National Key Research and Development Plan (grant number 2018YFC1407404), Natural Science Foundation of Hubei Province (grant number 2019CFB339) and Fundamental Research Funds for the Central Universities (grant number WUT 2018IVA013 and grant number 3132016021).
Publisher Copyright:
Copyright © The Royal Institute of Navigation 2021.
PY - 2021/5
Y1 - 2021/5
N2 - In busy waterways, spatial-Temporal discretisation, safe distance and collision avoidance timing are three of the core components of ship traffic flow modelling based on cellular automata. However, these components are difficult to determine in ship traffic simulations because the size, operation and manoeuvrability vary between ships. To solve these problems, a novel traffic flow model is proposed. Firstly, a spatial-Temporal discretisation method based on the concept of a standard ship is presented. Secondly, the update rules for ships' motion are built by considering safe distance and collision avoidance timing, in which ship operation and manoeuvrability are thoroughly considered. We demonstrate the effectiveness of our model, which is implemented through simulating ship traffic flow in a waterway of the Yangtze River, China. By comparing the results with actual observed ship traffic data, our model shows that the behaviours and the characteristics of ships' motions can be represented very well, which also can be further used to reveal the mechanism that affects the efficiency and safety of ship traffic.
AB - In busy waterways, spatial-Temporal discretisation, safe distance and collision avoidance timing are three of the core components of ship traffic flow modelling based on cellular automata. However, these components are difficult to determine in ship traffic simulations because the size, operation and manoeuvrability vary between ships. To solve these problems, a novel traffic flow model is proposed. Firstly, a spatial-Temporal discretisation method based on the concept of a standard ship is presented. Secondly, the update rules for ships' motion are built by considering safe distance and collision avoidance timing, in which ship operation and manoeuvrability are thoroughly considered. We demonstrate the effectiveness of our model, which is implemented through simulating ship traffic flow in a waterway of the Yangtze River, China. By comparing the results with actual observed ship traffic data, our model shows that the behaviours and the characteristics of ships' motions can be represented very well, which also can be further used to reveal the mechanism that affects the efficiency and safety of ship traffic.
KW - cellular automaton
KW - collision avoidance
KW - safe distance
KW - ship traffic flow
KW - standard ship
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U2 - 10.1017/S0373463320000636
DO - 10.1017/S0373463320000636
M3 - Article
AN - SCOPUS:85099097420
SN - 0373-4633
VL - 74
SP - 605
EP - 618
JO - Journal of Navigation
JF - Journal of Navigation
IS - 3
ER -