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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2020  >  20(3): 192-205
HUANG Chuan, LYU Jing, AI Yun-fei. Optimization of VTS radar station location and configuration based on fine division of water area[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 192-205. doi: 10.19818/j.cnki.1671-1637.2020.03.018
Citation: HUANG Chuan, LYU Jing, AI Yun-fei. Optimization of VTS radar station location and configuration based on fine division of water area[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 192-205. doi: 10.19818/j.cnki.1671-1637.2020.03.018
shu

Optimization of VTS radar station location and configuration based on fine division of water area

doi: 10.19818/j.cnki.1671-1637.2020.03.018
  • 1.

    School of Transportation Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China

  • 2.

    China Transport Telecommunications and Information Center, Bejing 100011, China

Funds:

National Key Research and Development Program of China 2017YFC0804904

National Key Research and Development Program of China 2018YFB1601504

National Natural Science Foundation of China 71974023

More Information
    Abstract
  • In order to improve the efficiency of maritime safety supervision and ensure the safety production of maritime transportation, the vessel traffic service(VTS) radar station was viewed as the research object, the optimization of VTS radar station location based on the fine division of water area was studied. The effects of the occlusion factors in the actual environment and maritime risk factors on the monitoring performance of radar were considered, and a fine division of water area was proposed based on the software ArcGIS 10.4.1. The location of radar station and configuration type of radar were viewed as decision variables, the maximum coverage of water area and the lowest total cost were regarded as objective functions, then a mixed integer programming model was constructed. Based on the characteristics of the model, the multi-objective particle swarm optimization was designed, the heuristic rules for generating the initial particle swarms were proposed, and effective mutation operations were introduced into the algorithm. In order to verify the validity of the method, the series of ZDT test function were adopted to evaluate the performance of searching for the optimal solution and the convergence of algorithm. Research result shows that the spatial division of water area in consideration of occlusion factors and risk factors can be realized by the proposed method, and the water area monitored by the radar station is divided into 2 812 water area units in the example with 62 candidate radar stations. The global optimal solution in the ZDT test functions can be effectively found by the improved particle swarm algorithm, and the optimal solution with good convergence and average distribution is realized. 95.92% coverage of water area is achieved in the location optimization model of VTS radar station for the example. The total cost is 33 800 yuan. It can be seen that the location optimization model of VTS radar station considering the environmental occlusion and water risk factors is effective. The scientificity and rationality of VTS radar station location can be improved by the improved multi-objective particle swarm optimization algorithm, so it is an effective method to solve the location optimization problem of VTS radar station.

     

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