交通信息与安全2024，Vol.42Issue(2)：25-35,11.DOI:10.3963/j.jssn.1674-4861.2024.02.003
内河船舶机会性互联的复杂网络模型及其时变特性
Complex Network Modeling and the Ephemeral Characteristics of Dynamic Opportunistic Interconnections Among Vessels in Inland Waterway
摘要
Abstract
This paper empirically studies the opportunistic proximity among inland vessels.A social network analy-sis(SNA)method considering time-series characteristics is proposed based on the original SNA method,which transforms the network clustering with a large-scale time span into that with a small-scale span and could be used to analyze the dynamic behaviors of inland vessels in limited waters;additionally,considering the temporal characteris-tics of the proximity relationships among vessels,the complex network theory is employed to model the vessel so-cial network(VSN),which explains the fact that many encountering ships are acquainted with each other in inland region.The AIS data from a 200-kilometer section of the lower Yangtze River in one month are used for demonstra-tion.The results show that:①the degree distribution of the VSN can be fitted with a Gaussian distribution with a fitting degree of over 96%;②with the increase of time scale,small-world characteristics and scale-free features of the VSN become apparent,clusters sub-networks consisting of stationary vessels and sailing vessels are observed in the spatial dimension,the density of the VSN slowly increase to 0.1,the average path remains 0.2-0.3,the average weighted clustering coefficient slowly decreases and converges to 0.4-0.5,the dispersion rapidly approaches 1,and overall connectivity is achieved;③the average speed of the ships who have high degrees in the VSN with different time spans are highly correlated;④ with the increase of vessel density,the average neighborhood time in 1 day grows exponentially and the repeated encounters fit a negative exponential distribution.In summary,the establish-ment or disconnection of data exchange relationships among sailing ships is determined by the ephemeral character-istics of the proximity relationships between vessels in physical space;the interaction behaviors of inland vessels have a memory effect on the interaction behaviors in the future,providing new insights for the research of inland traffic safety.关键词
交通安全/船联网/机会性互联/时序复杂网络模型/时变特性Key words
traffic safety/internet of ships/opportunistic interconnections/time-series complex network model/ephemeral characteristics分类
交通工程引用本文复制引用
汪洋,陈涛,陈志强,吴兵,钟鸣..内河船舶机会性互联的复杂网络模型及其时变特性[J].交通信息与安全,2024,42(2):25-35,11.基金项目
湖北省自然科学基金项目(2021CFB324)、国家自然科学基金项目(52372320)、湖北省重点研发专项(2023BCB123)资助 （2021CFB324）
