运筹与管理 ›› 2023, Vol. 32 ›› Issue (6): 12-19.DOI: 10.12005/orms.2023.0176

• 理论分析与方法探讨 • 上一篇    下一篇

基于逐渐覆盖的VTS雷达站多目标选址研究

黄川1,2, 吕靖1, 艾云飞3, 朱雪斌1   

  1. 1.大连海事大学 交通运输工程学院,辽宁 大连 116026;
    2.交通运输部规划研究院,北京 100028;
    3.中国交通通信信息中心,北京 100011
  • 收稿日期:2021-04-29 出版日期:2023-06-25 发布日期:2023-07-24
  • 通讯作者: 吕靖(1959-),男,辽宁大连人,教授,硕士,研究方向:交通运输规划与管理。
  • 作者简介:黄川(1994-),男,湖北武汉人,博士研究生,研究方向:交通运输规划与管理。
  • 基金资助:
    国家社科基金重大研究专项(19VHQ012);国家自然科学基金资助项目(71974023);中央高校基本科研业务费专项资金项目(313209302,3132021347)

Multi-objective Location Optimization of VTS Radar Station Based on Gradual Coverage

HUANG Chuan1,2, LYU Jing1, AI Yunfei3, ZHU Xuebin1   

  1. 1. School of Transportation Engineering, Dalian Maritime University, Dalian 116026, China;
    2. Transport Planning and Research Institute, Beijing 100028, China;
    3. China Transport Telecommunications and Information Center (CTTIC), Beijing 100011, China
  • Received:2021-04-29 Online:2023-06-25 Published:2023-07-24

摘要: 船舶交通管理系统(Vessel Traffic Service,VTS)对于保障水上交通运输安全具有重要作用,而雷达站作为系统核心组成部分其位置选择对于系统功能发挥具有至关重要的作用。针对当前VTS雷达站选址研究较少考虑实际拟建雷达站数量约束和雷达无线电波在空气中传播存在衰减性的问题,在考虑雷达配置的情况下从建站成本和覆盖率两方面基于逐渐覆盖思想提出了VTS雷达站双目标选址模型并设计自适应权重粒子群算法进行求解,并用算例分析,然后从覆盖函数和建站数量两方面进行讨论和敏感性分析,并进行方案选择分析和实例验证,结果表明最终方案能够在满足约束的条件下实现最优选址,为VTS雷达站选址提供了一种解决思路。

关键词: 交通规划, 船舶交通管理系统, 雷达站选址配置, 逐渐覆盖, 粒子群算法

Abstract: Vessel Traffic Service (VTS) is a complicated facility system to enhance the safety level of waterway vessel traffic, improve traffic efficiency and protect the water area environment. The principle of its role is to use communication facilities such as radar stations, automatic ship identification system base stations, VHF calls and shipboard terminals to realize the monitoring of ships in the supervised water area and to provide ships with the navigation safety information required for navigation to ensure the safety of vessel navigation. Since its introduction into China, it has been playing an important role in guaranteeing vessel traffic safety, improving efficiency of waterway vessel traffic.
As an important tool for the maritime department to achieve waterway traffic safety management, its construction and use can effectively maintain the stability of the waterway traffic safety situation, improve the efficiency of waterway navigation, and promote the good and rapid development of the shipping economy. In accordance with the general requirements of China’s construction of a strong transportation country and a strong maritime country, as well as the Ministry of Transportation and Communications Maritime Bureau to promote the construction of ‘land, sea, air and sky’ integrated waterway transportation safety assurance system, and at the same time to meet the new waterway supervision needs caused by the large-scale ship and the growing flow of ship traffic, the competent maritime authorities need to build a large number of VTS systems to meet the regulatory needs, to enhance the supervision, management, emergency security capabilities and abilities of China’s jurisdictional water area, international water area. Among them, VTS radar station, as the core component of VTS system, plays a crucial role in monitoring the waterway under navigation, and its location deployment and radar configuration affect the function of the whole system, so it is necessary to study the location selection and radar configuration of VTS radar station.
In view of the current VTS radar station location optimization study, which does not consider the actual number of proposed radar stations and the attenuation of radar radio wave propagation in the air, the attenuation function measurement mechanism is introduced. And the bi-objective location optimization model of VTS radar station is proposed based on the idea of gradual coverage in terms of station construction cost and coverage rate with consideration of radar configuration, and the adaptive weight particle swarm algorithm is designed to solve the model. The results show that the final solution can achieve the optimal location program under the condition of satisfying the constraints, which provides a solution idea for the location optimization of VTS radar stations.
However, the location selection of VTS radar stations in the actual environment is a systematic project that requires consideration of many factors, so the location optimization can be decided from several differential factors, such as the density of ship navigation routes, etc. Meanwhile, the algorithm used in this paper can be further improved to improve the accuracy and scientificity of the solution method.

Key words: transportation planning, vessel traffic service, radar station location and configuration, gradual coverage, particle swarm algorithm

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