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Formal Synthesis of Distributed Optimal Traffic Control Policies

机译:分布式最优交通控制策略的形式综合

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We propose a formal methods approach to control traffic signals optimally from specifications described by metric temporal logic (MTL). Since real-time optimization is computationally infeasible beyond small-scale networks, we use a divide and conquer approach. We decompose the network into smaller subnetworks and synthesize assume-guarantee contracts for their interconnections. We show how to exploit mathematical properties of traffic dynamics to find time varying contracts by solving a constraint satisfaction problem. A model predictive control (MPC) approach is used to find local controls for each subnetwork to minimize induced delays, while assume-guarantee contracts and appropriately designed terminal constraints ensure the satisfaction of the specification all over the network. We present a case study on an urban traffic network.
机译:我们提出了一种正式的方法,可以根据度量时间逻辑(MTL)所描述的规范来最佳地控制交通信号。由于实时优化在小型网络之外在计算上是行不通的,因此我们使用分而治之的方法。我们将网络分解为较小的子网,并为它们的互连综合了假设保证合同。我们展示了如何通过解决约束满足问题来利用交通动力学的数学特性来找到时变合同。模型预测控制(MPC)方法用于为每个子网找到本地控制,以最大程度地减少诱发的延迟,同时承担保证合同和经过适当设计的终端约束条件可确保整个网络满足规范要求。我们提出一个关于城市交通网络的案例研究。

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