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Research on Area Control Method in Urban Signal Intersection under the Multi - agent System

机译:多Agent系统下城市信号交叉口区域控制方法研究。

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Taking vehicle queue length in urban intersection, traffic flow and signal timing at the present situation as input, the intersection signal timing scheme as output, the minimum network delay as the goal, it constructs a multi - agent traffic signal control system including the execution layer, control layer and decision-making layer. When the queue length in intersection is higher than the setting threshold, the intersection agent is activated. By sending coordination request to the adjacent intersections, based on the NASH equilibrium theory, it looks for the signal timing scheme that is satisfied with the minimum delay time to coordinate intersection agent. If NASH equilibrium has no solution, the network upgrades for management agent coordination and conducts area agent timing coordination according to the historic timing scheme stored in rule base. The simulation analysis shows that TSCA (Traffic Signal Control Agent) system can effectively reduce the overall delay time of the system and the control effect is better.
机译:以城市交叉口的车辆排队长度,当前情况下的交通流量和信号定时为输入,以交叉口信号定时方案为输出,以最小网络时延为目标,构建了一个包含执行层的多主体交通信号控制系统。 ,控制层和决策层。当交叉路口的队列长度大于设置的阈值时,将激活交叉路口代理。通过将协调请求发送到相邻的交叉口,基于NASH平衡理论,它寻找满足最小延迟时间的信号定时方案来协调交叉口代理。如果NASH平衡没有解决方案,则网络将升级以进行管理代理协调,并根据规则库中存储的历史定时方案进行区域代理定时协调。仿真分析表明,TSCA(Traffic Signal Control Agent)系统可以有效减少系统的总体延迟时间,控制效果更好。

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