关键词: 交通运输工程, 子区域, 概率, 时间期望, 搜寻船舶

Abstract: In view of the urgency of the maritime search mission and the different probability distribution of the target in the sea area to be searched, the sea area to be searched was divided into several sub-areas according to the probability distribution, and the probability distribution of the target in different sea areas was also studied. Considering that the probability of different location of the target in the sea area was different, so the ships search priority for each sub-area was different, the optimal selection problem of dispatching ships to multiple regions was studied. The maritime search ship selection optimization model with the minimum expected time of each sub-region to finish the search was proposed, which fully considered the search ability and maximum speed of the search ship, the initial distance from each sub region and other factors, and designed the algorithm. The effectiveness of the proposed model was verified by an example. The research results show that: considering the probability of different sub-areas, choosing the right ship and designating the search ship to rush to the right sub-area can save the search task completion time.

Key words: traffic and transportation engineering, sub-area, probability, time expectation, search ship