论文标题
交通拥堵控制的并发切换模型
A Concurrent Switching Model for Traffic Congestion Control
论文作者
论文摘要
我们引入了一种新的基于保护的方法,用于在每个黑色交界处的互连道路(NOIR)网络(NOIR)网络中进行交通协调建模和控制。为了建模流量演变,我们首先假设运动阶段旋转在每个黑色交界处都是循环的,但是每个运动阶段的持续时间都可以由交通信号任意命令。然后,我们提出了一种新颖的并发开关动力学(CSD),具有有限数量的状态之间的确定性转变,代表了黑色运动阶段。我们将CSD控制定义为周期性二次成本和约束的环状回收范围优化问题。更具体地说,定义成本,以使交通密度最小化,边界流入均匀分布在边界入口道路上,而成本参数随时间定期更改。这些约束是线性的,并由每条黑色道路的梯形基本图施加,以确保交通可行性并避免交通过度饱和。通过模拟凤凰城市中心的交通拥堵控制,提出的交通边界控制的成功证明了这一点。
We introduce a new conservation-based approach for traffic coordination modeling and control in a network of interconnected roads (NOIR) with switching movement phase rotations at every NOIR junction. For modeling of traffic evolution, we first assume that the movement phase rotation is cyclic at every NOIR junction, but the duration of each movement phase can be arbitrarily commanded by traffic signals. Then, we propose a novel concurrent switching dynamics (CSD) with deterministic transitions among a finite number of states, representing the NOIR movement phases. We define the CSD control as a cyclic receding horizon optimization problem with periodic quadratic cost and constraints. More specifically, the cost is defined so that the traffic density is minimized and the boundary inflow is uniformly distributed over the boundary inlet roads, whereas the cost parameters are periodically changed with time. The constraints are linear and imposed by a trapezoidal fundamental diagram at every NOIR road so that traffic feasibility is assured and traffic over-saturation is avoided. The success of the proposed traffic boundary control is demonstrated by simulation of traffic congestion control in Downtown Phoenix.