城市交通网络中混合交通灯实时控制的分布式体系结构
A Distributed Architecture for Real-time Hybrid Traffic Light Control in Urban Transportation Networks
摘要：
提出了一种描述城市交通系统中交通动力学的宏观模型。基于单元传输模型描述路段动态，以路段通行能力为约束，基于流量车头时距和交叉口饱和流量提出流量动态。为了满足闭环交通灯控制策略的要求，提出了一种方法来估计交叉口的分支比，仿真结果表明，在恒定的循环流量剖面下，可以实现收敛。此外，提出了一种基于系统划分的方法，这是通过机器学习的方法来实现的拥塞水平识别和混合交通网络控制策略，提出了集成不同的交通灯控制方案在一起。
英文摘要：
A macroscopic model is proposed to depict the traffic dynamics involved in urban traffic systems. The link dynamics are described based on the cell-transmission model and bounded by the link capacities, while the flow dynamics are proposed based on the discharge headways and saturation flow at intersections. To fulfill the requirement of a closed-loop traffic light control strategy, an approach to estimate the branching ratios at intersections is proposed and simulations show that the convergence would be achieved under constant cyclic flow profiles. Furthermore, a system partitioning approach is proposed based congestion level identification, which is achieved via a machine learning method and a hybrid traffic network control strategy is proposed to integrate different traffic light control schemes together.
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