论文标题
流动效率和逐构建的实时交通信号控制平台
A Flow-Efficient and Legal-by-Construction Real-Time Traffic Signal Control Platform
论文作者
论文摘要
交通流量流动的效率低下会导致停止车辆，不必要的拥塞和增加事故风险。在本文中，我们提出了一个流量信号控制器平台，该平台表明可以增加任意交叉路口拓扑的交通流量。该模型使用对混合逻辑动力学系统上的模型预测控制来控制单个交叉点中独立控制的流量信号的状态，从而消除了约束，从而迫使从一组阶段选择信号。此外，我们使用约束来对系统的输出施加保证，以在允许的操作集中，包括精确的黄色正时，最小车道间的绿色过渡时机以及具有非冲突依赖性的信号状态的选择。我们在模拟的4向交叉路口和丹麦的交叉点上评估了我们的模型，并通过真实的流量数据和当前实施的定时时间表作为基准。与基线光计划相比，我们的模型至少显示了时间损失至少22 \％，并且时机表明，该系统可以在25S的预测范围内以比2s/预测优化的频率快于在线预测。
Inefficiencies in traffic flow through an intersection lead to stopping vehicles, unnecessary congestion, and increased accident risk. In this paper, we propose a traffic signal controller platform demonstrating the ability to increase traffic flow for arbitrary intersection topologies. This model uses Model Predictive Control on a Mixed Logical Dynamical system to control the state of independently controlled traffic signals in a single intersection, removing constraints forcing the selection of signals from a set of phases. Further, we use constraints to impose a guarantee on the output of the system to be in the set of permissible actions under constraints including precise yellow timing, minimum inter-lane green transition timing, and selection of signal states with non-conflicting dependencies. We evaluate our model on a simulated 4-way intersection and an intersection in Denmark with true traffic data and a currently implemented timing schedule as a baseline. Our model shows at least 22\% reduction in time loss compared to baseline light schedules, and timing shows that this system can feasibly run online predictions at a frequency faster than 2s/prediction optimizing over a prediction horizon of 25s.
