Ripple effect simulation model by the appearance of autonomous vessel

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K04732
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 22050:Civil engineering plan and transportation engineering-related
• Research Institution: The University of Tokyo
• Principal Investigator: Kawasaki Tomoya 東京大学, 大学院工学系研究科(工学部), 准教授 (30705702)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 海運ネットワーク / 社会システム / 配船パターン / 物流

Outline of Final Research Achievements

Based on the interview surveys, a simulation model of vessel port calling pattern was developed. The model was applied to container cargo to/from India, and it was shown that the phenomenon of de-hubbing Colombo Port will progress due to the increase in direct services to/from Europe and East Asia. However, the introduction of automated vessels for feeder transport between India and Colombo has the effect of maintaining the hub function of Colombo Port. In addition, the introduction of automated vessels resulted in a slight downsizing of the overall vessel size and a slight increase in the frequency of the services. Furthermore, the model was applied to the actual global network and recommendations were made regarding the introduction of automated vessels and port policy.

Free Research Field

海運ネットワーク分析

Academic Significance and Societal Importance of the Research Achievements

自律船の導入は人手不足解消，事故削減等が主な背景であるが，海運市場に与える影響も大きい．そこで本研究において自律船導入による船舶ネットワーク形成の変化を考察できるシミュレーションモデルを開発した．これにより，自律船導入による輸送効率性などの波及効果に関して，従来の有人船と比較した定量的な評価が可能となるとともに，自律船導入により顕在化する波及効果を計測するために必要な配船パターンが把握可能となった．