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Multi-agent fuzzy signal control based on real-time simulation

机译:基于实时仿真的多主体模糊信号控制

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In this paper a traffic signal control system based on real-time simulation, multi-agent control scheme, and fuzzy inference is presented. This system called HUTSIG is closely related to the microscopic traffic simulator HUTSIM, both have been developed by the Helsinki University of Technology. The HUTSIM simulation model is used both for off-line evaluation of the signal control scheme and for on-line modeling of traffic situations during actual control. Indicators are derived from the simulation model as input to the control scheme. In the presented control technique, each signal operates individually as an agent, negotiating with other signals about the control strategy. Here the decision making of the agents is based on fuzzy inference that allows a combination of various aspects like fluency, economy, environment and safety. The fuzzy implementation of the HUTSIG signal control system is developed under the FUSlCO-project at Helsinki University of Technology.
机译:本文提出了一种基于实时仿真,多智能体控制方案和模糊推理的交通信号控制系统。这个称为HUTSIG的系统与微观交通模拟器HUTSIM密切相关,两者都是由赫尔辛基工业大学开发的。 HUTSIM仿真模型既用于信号控制方案的离线评估,又用于实际控制过程中交通状况的在线建模。指标从仿真模型中得出,作为控制方案的输入。在提出的控制技术中,每个信号都单独作为代理运行,并与其他有关控制策略的信号进行协商。在这里,代理的决策是基于模糊推理的,该推理允许流畅性,经济性,环境和安全性等各个方面的组合。 HUTSIG信号控制系统的模糊实现是在赫尔辛基工业大学的FUSlCO项目下开发的。

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