Collision risk prediction and warning at road intersections using an object oriented Bayesian network

2013 ◽  
Author(s):  
Galia Weidl ◽  
Gabi Breuel ◽  
Virat Singhal
Keyword(s):  
Bayesian Network ◽  
Risk Prediction ◽  
Object Oriented ◽  
Collision Risk ◽  
Road Intersections

scholarly journals Regional Collision Risk Prediction System at a Collision Area Considering Spatial Pattern

2021 ◽  
Vol 9 (12) ◽  
pp. 1365
Author(s):  
Ho Namgung ◽  
Joo-Sung Kim
Keyword(s):  
Spatial Pattern ◽  
Risk Prediction ◽  
Fuzzy Inference System ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Risk Index ◽  
Prediction System ◽  
Collision Risk ◽  
Inference System ◽  
Optimal Decisions

To reduce the risk of collision in territorial sea areas, including trade ports and entry waterways, and to enhance the safety and efficiency of ship passage, the International Maritime Organization requires the governing body of every country to establish and operate a vessel traffic service (VTS). However, previous studies on risk prediction models did not consider the locations of near collisions and actual collisions and only employed a combined collision risk index in surveillance sea areas. In this study, we propose a regional collision risk prediction system for a collision area considering spatial patterns using a density-based spatial clustering of applications with noise (DBSCAN). Furthermore, a fuzzy inference system based on a near collision (FIS-NC) and long short-term memory (LSTM) is adopted to help a vessel traffic service operator (VTSO) make timely optimal decisions. In the local spatial pattern stage, the ship trajectory was determined by identifying the actual-collision and near-collision locations simultaneously. Finally, the system was developed by learning a sequence dataset from the extracted trajectory of the ship when a collision occurred. The proposed system can recommend an action faster than the fuzzy inference system based on the near-collision location. Therefore, using the developed system, a VTSO can quickly predict ship collision risk situations and make timely optimal decisions at dangerous surveillance sea areas.

A novel framework of real-time regional collision risk prediction based on RNN approach

2021 ◽  
pp. 139-149
Author(s):  
Dapei Liu ◽  
Yao Cai ◽  
Xin Wang ◽  
Zihao Liu ◽  
Zhengjiang Liu
Keyword(s):  
Real Time ◽  
Risk Prediction ◽  
Collision Risk

An explorative object-oriented Bayesian network model for oil spill response in the Arctic Ocean

2019 ◽  
Vol 2 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Mawuli Afenyo ◽  
Faisal Khan ◽  
Brian Veitch ◽  
Adolf K. Y. Ng ◽  
Zaman Sajid ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Arctic Ocean ◽  
Network Model ◽  
Oil Spill ◽  
Object Oriented ◽  
The Arctic ◽  
Bayesian Network Model ◽  
The Arctic Ocean ◽  
Oil Spill Response

scholarly journals Object Oriented Bayesian Network for complex system risk assessment

2016 ◽  
Vol 49 (28) ◽  
pp. 31-36 ◽  
Author(s):  
Q. Liu ◽  
F. Pérès ◽  
A. Tchangani
Keyword(s):  
Complex System ◽  
Risk Assessment ◽  
Bayesian Network ◽  
Object Oriented ◽  
System Risk

Long-term collision risk prediction for low earth orbit satellite constellations

2000 ◽  
Vol 47 (2-9) ◽  
pp. 707-717 ◽  
Author(s):  
R. Walker ◽  
P.H. Stokes ◽  
J.E. Wilkinson ◽  
G.G. Swinerd
Keyword(s):  
Risk Prediction ◽  
Low Earth Orbit ◽  
Earth Orbit ◽  
Collision Risk ◽  
Satellite Constellations ◽  
Orbit Satellite ◽  
Low Earth Orbit Satellite

A Rear-End Collision Risk Evaluation and Control Scheme Using a Bayesian Network Model

2019 ◽  
Vol 20 (1) ◽  
pp. 264-284 ◽  
Author(s):  
Chen Chen ◽  
Xiaomin Liu ◽  
Hsiao-Hwa Chen ◽  
Meilian Li ◽  
Liqiang Zhao
Keyword(s):  
Bayesian Network ◽  
Network Model ◽  
Risk Evaluation ◽  
Collision Risk ◽  
Bayesian Network Model ◽  
Control Scheme ◽  
And Control
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