Research on Vessel Speed Heading and Collision Detection Method Based on AIS Data

Abstract

In order to better predict the sailing information data of fishing boats, make accurate prediction and spacing budget for the sailing status of ships, achieve more accurate coordination and early warning in advance, and ensure the safety of fishing boats’ laneway, the essay combined the kinematics equation and artificial neural network model to adapt to the traffic situation of fishing boats in the far sea. A course and collision test technique based on ship AIS data is proposed, and the course collision detection method of fishing boats is studied by means of actual ship beacon collision accident data. Through the practical test, taking the navigation mark 4560.117 as an example, under the detection track of the navigation mark field corresponding to R = 70, the two ships have the same track, thus verifying the practicality and feasibility of the ship navigation mark collision detection method.

An enhanced decision-making framework for predicting future trends of sharing economy

“…It has garnered significant attention from the academic community and has been rapidly applied in various practice environments, particularly achieving enormous success in engineering applications. For example, they have gained wide application and achieved good results in areas such as combinatorial optimization [42,43], data mining [44,45], energy scheduling [46,47], medicine [48,49] and image classification [50,51], bankruptcy prediction [52], economic emission dispatch [53], feature selection [54][55][56][57][58], numerical optimization [59][60][61], scheduling optimization [62,63], multi-objective optimization [64], large-scale complex optimization [65], global optimization [66][67][68][69][70], feed-forward neural networks [71], and target tracking [72]. Therefore, to better explore the future development trend of sharing economy, this study proposes an effective prediction model for the future development trend of sharing economy.…”