標題: ConflictFinder: Mining Maritime Traffic Conflict from Massive Ship Trajectories
作者: Lei, Po-Ruey
Tsai, Tzu-Hao
Wen, Yu-Ting
Peng, Wen-Chih
交大名義發表
National Chiao Tung University
關鍵字: Maritime Traffic;AIS Data;Trajectory Data Mining;Conflict Detection
公開日期: 1-Jan-2017
摘要: Collision-free is one of the major safety concerns for maritime traffic management. To analyze the collision data and understand the cause of the collision can contribute the improvement of the maritime traffic safety and management. However, the real collisions is not always available to analyze. Based on a massive AIS trajectory data collected, we focus on mining the ships' movement behaviors those may bring a possible collision if they do not take any avoidance, called Maritime Traffic Conflict. Even though the maritime traffic conflict is a non-accident incident, the movement behaviors of maritime traffic conflict may have the similar behaviors of navigational collision for analysis. Thus, we propose ConflictFinder to provide a framework for maritime traffic conflict mining. Different from existing methods those focus on detecting the conflicts between two ships in a restricted water way, we discover the conflicts occurred by multi-ships in open sea. For analysis of maritime traffic conflicts, a prototype of ConflictFinder is implemented which helps with gaining a better understanding of traffic conflicts discovered and can be applied to the improvement of maritime traffic safety evaluation and management.
URI: http://dx.doi.org/10.1109/MDM.2017.60
http://hdl.handle.net/11536/146978
ISSN: 1551-6245
DOI: 10.1109/MDM.2017.60
期刊: 2017 18TH IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (IEEE MDM 2017)
起始頁: 356
結束頁: 357
Appears in Collections:Conferences Paper