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基于船舶AIS数据的桥区水域通航饱和度研究

An Analysis of Traffic Saturation of Bridge Waters Based on Historical AIS Data

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【作者】 王维刚初秀民蒋仲廉刘磊

【Author】 WANG Weigang;CHU Xiumin;JIANG Zhonglian;LIU Lei;National Engineering Research Center for Water Transport Safety,Wuhan University of Technology;School of Energy and Power Engineering,Wuhan University of Technology;

【通讯作者】 蒋仲廉;

【机构】 武汉理工大学国家水运安全工程技术研究中心武汉理工大学能源与动力工程学院

【摘要】 为分析内河通航情况,评价桥区水域航道饱和程度,研究不同船舶领域模型对航道饱和度评价造成的影响,构建了基于船舶AIS数据的通航饱和度模型。通过大量历史船舶AIS数据分析,计算了船舶交通流量、通航密度、通过能力等参数,基于停船视距船舶领域构建了通航饱和度模型,提高了饱和度计算精度;分析了饱和度随时间的变化特征,并提出了最大饱和度等评价指标。以长江中游武汉河段桥区水域为例,研究近三年桥区水域通航饱和度用以验证。结果表明,长江中游桥区水域通航饱和度平均约为20%~30%;武汉长江大桥附近饱和度最大可达53%,与实际较为相符;基于藤井船舶领域模型相比停船视距船舶领域模型计算所得的通过能力值高76%,饱和度低43%。采用停船视距船舶领域计算所得饱和度随区域交通流特征而变化,相比于传统方法更加精准。

【Abstract】 In order to evaluate degree of traffic saturation of bridge water areas, and reveal impacts of ship domain models, a novel saturation model is proposed in the present study. On basis of historical AIS data analysis, characteristics of vessel traffic flow are explored, such as vessel traffic volume, density, and waterway capacity. The ship domain is calculated considering ship stopping sight distance, thus the traffic saturation is investigated. Temporal features of traffic saturation are analyzed and evaluation indicators are introduced, e.g. maximum saturation. The Wuhan reach of Yangtze River is selected for traffic saturation model validation. The three-year analysis indicates that the saturation is approximately 20%—30% on average while the maximum value(53%) appears in the vicinity of the Wuhan Yangtze River Bridge. By applying the Fujii ship domain model, the traffic saturation is under-estimated by 43% while the waterway capacity could be over-estimated by 76%. It is concluded that the computed saturation varies with the regional traffic flow characteristics, which is more accurate and reasonable than the traditional method.

【基金】 国家重点研发计划项目(2016YFC0402103);国家自然科学基金项目(51709220,51479155)资助
  • 【文献出处】 交通信息与安全 ,Journal of Transport Information and Safety , 编辑部邮箱 ,2019年04期
  • 【分类号】U675.7;U697
  • 【被引频次】8
  • 【下载频次】339
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