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USING AUTOMATED PLANNING FOR TRAFFIC SIGNALS CONTROL

机译：使用自动计划进行交通信号控制

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摘要

Solving traffic congestions represents a high priority issue in many big cities. Traditional traffic control systems are mainly based on pre-programmed, reactive and local techniques. This paper presents an autonomic system that uses automated planning techniques instead. These techniques are easily configurable and modified, and can reason about the future implications of actions that change the default traffic lights behaviour. The proposed implemented system includes some autonomic properties, since it monitors the current traffic state, detects if the system is degrading its performance, sets up new sets of goals to be achieved by the planner, triggers the planner that generates plans with control actions, and executes the selected courses of actions. The obtained results in several artificial and real world data-based simulation scenarios show that the proposed system can efficiently solve traffic congestion.
机译：解决交通拥堵是许多大城市的当务之急。传统的交通控制系统主要基于预编程，反应式和本地技术。本文提出了一个使用自动化计划技术的自主系统。这些技术很容易配置和修改，并且可以推断出更改默认交通信号灯行为的动作对未来的影响。拟议的已实施系统具有一些自主性，因为它可以监视当前的流量状态，检测系统是否正在降低其性能，设置计划者要实现的新目标集，触发计划者以控制动作生成计划，以及执行选定的动作过程。在几种基于人工和真实世界数据的模拟场景中获得的结果表明，该系统可以有效解决交通拥堵问题。

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