The global trends in urbanization have caused many problems, among which Urban Traffic Control (UTC) becomes a priority issue for most big cities in many countries. As traffic demand changes rapidly, appropriate control policies are required to be generated in real time in order to, e.g., minimize congestion to reduce average travel time and air pollution. A practical way to meet the challenge is to build an intelligent control mechanism of road traffic. In this context, automated planning, a powerful and effective technique, can be exploited as an aid to dynamically produce plans to alleviate the problems of UTC. In this paper, we present an approach based on automated planning, in particular temporal planning scheme that aims for producing predictable management strategies of UTC. Meanwhile, a logic style control knowledge is employed to provide useful guidance for the search process in planning. We show the preliminary evaluations on simulation benchmarks closely related to UTC. Experimental results show the feasibility and effectiveness of our approach, compared with the state-of-the-art planners that participate in recent International Planning Competitions.

中文翻译：

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基于知识的城市交通控制时间规划方法

全球城市化趋势引起了许多问题，其中城市交通管制（UTC）已成为许多国家中大多数大城市的优先考虑的问题。随着交通需求的快速变化，需要实时生成适当的控制策略，以例如最大程度地减少交通拥堵，以减少平均出行时间和空气污染。应对挑战的一种切实可行的方法是建立道路交通的智能控制机制。在这种情况下，可以利用自动计划这一强大而有效的技术来辅助动态地制定计划以减轻UTC问题。在本文中，我们提出了一种基于自动计划的方法，特别是旨在产生可预测的UTC管理策略的时间计划方案。同时，使用逻辑样式控制知识为规划中的搜索过程提供有用的指导。我们展示了与UTC紧密相关的模拟基准的初步评估。实验结果表明，与参加最近的国际规划竞赛的最新规划师相比，该方法的可行性和有效性。