Engineering Commons^™

The Study Of Ship Collision Avoidance Route Planning By Ant Colony Algorithm, Ming-Cheng Tsou, Chao-Kuang Hsueh

Journal of Marine Science and Technology

Maritime traffic is becoming more complex every day. At present, due to technological advances and to new maritime regulations, there is increasing demand for new nautical marine instruments to be installed into the bridge, and the breadth of navigational information complicates on-duty officers’ decisions. Therefore, if decision support tools can be used to help deal with navigational decision-making, human errors arising from subjective judgments can be reduced, and sea transport safety improved. This research uses the concept of e-navigation as a framework, positioning collision avoidance path planning as the main theme, and applies an Ant Colony Algorithm (ACA) in the …