Issue 6
Dec.  2017
Turn off MathJax
Article Contents
LIU Jingxian, LIU Cong, ZHAO Zhen, ZHANG Mingyang, LIU Zhao. A Quantitative Method for Traffic Capacity of Channels Based on Clustering of Ship Types[J]. Journal of Transport Information and Safety, 2017, 35(6): 46-53. doi: 10.3963/j.issn.1674-4861.2017.06.007
Citation: LIU Jingxian, LIU Cong, ZHAO Zhen, ZHANG Mingyang, LIU Zhao. A Quantitative Method for Traffic Capacity of Channels Based on Clustering of Ship Types[J]. Journal of Transport Information and Safety, 2017, 35(6): 46-53. doi: 10.3963/j.issn.1674-4861.2017.06.007

A Quantitative Method for Traffic Capacity of Channels Based on Clustering of Ship Types

doi: 10.3963/j.issn.1674-4861.2017.06.007
  • Publish Date: 2017-12-28
  • In order to compute traffic capacity of hybrid channels which changes from one-way to two way navigation,a quantitative model is developed based on clustering of ship types.According to the regulations of ship navigation in seaports,different ship types are classified.Characteristics of ship types and their probability distribution are determined by using a cluster algorithm.Compared with traditional methods,this method is more accurate to quantify traffic capacity of channels by assigning weights of different types of ships according to their occupied spaces.Moreover,the influences of different navigation modes on traffic capacity are also considered,which makes the model more accurate.The Dagusha Shipping Channel in Tianjin Port is taken as a case study to verify the proposed model.Current capacity of this channel is around 1 905 ships per month,while computed capacity is 2 350 ships per month.Moreover,while using the model for hybrid channels,the result is 4 455 ships per month,which is significantly larger than actual capacity of the channel.The results show that the method based on clustering of ship types can reflect the actual situation of the channel.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (538) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return