基于多智能体协作协商的船舶交通管理碰撞自动解决

Chun Yang, Q. Hu, C. Shi
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引用次数: 4

摘要

VTS最重要的功能之一是通过提供防撞建议来解决船舶间的碰撞问题。在过去,建议是通过手动ARPA绘图生成的,这可能会导致繁重的工作负载。近年来,AIS系统在船舶上得到广泛应用。因此,VTS可以收集到比以前更准确的血管运动数据。这使得自动生成防碰撞通知成为可能。在本研究中,我们建立了一个协作式多智能体协商系统,为VTS操作员生成防碰撞指令。该系统可以为每艘船创建一个软件代理,持续监控它们的运动,检测碰撞风险,并在存在碰撞风险时启动协商过程。代理之间按照单调的让步协议进行谈判,使自己越来越让步,直到达成协议。仿真结果表明,该系统能够为VTS操作员生成安全、经济的防撞指令,该研究的应用将提高VTS的工作效率。
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Automated Collision Resolution for Vessel Traffic Management by Using Cooperative Multi-Agent Negotiation
One of the most important functions of VTS is to resolve collision among vessels by giving anti-collision advice. In the past, the advice was generated by manual ARPA plotting which may lead to heavy workload. Recently, AIS are widely deployed on vessels. Therefore, VTS can collect more accurate data about the movement of the vessels than before. That makes it possible to generate anti-collision advice automatically. In this research, we built a cooperative multi-agent negotiation system to generate anti-collision instructions for VTS operators. This system can create a software agent for each vessel, constantly monitors their movement, detects the collision risk, and initiates a negotiation process if collision risk exists. Agents negotiate with each other complying with monotonic concession protocol to make themselves more and more concessive until an agreement is achieved. Simulation results show that this system can generate safe and economic anti-collision instructions for VTS operators, and the application of this research shall improve the efficiency of VTSs.
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