论文标题
与Minizinc的自动交叉管理管理
Automated Intersection Management with MiniZinc
论文作者
论文摘要
不良管理的交叉路口是城市地区交通问题日益增加的主要原因，导致交通流量不佳和不必要的僵局。在本文中，我们提出了一个自动交叉管理系统，该系统从传感器定义明确的网格中提取数据，并通过控制交通信号来优化流量流。数据提取机制与优化算法无关，本文主要强调后来的算法。我们已经使用了微型建模语言将系统定义为一种约束满意度问题，可以使用任何现成的求解器来解决。所提出的系统的性能要比当前正在使用的系统要好得多。我们的系统减少了车辆等待时间的平均等待时间和标准偏差，并避免了死锁。
Ill-managed intersections are the primary reasons behind the increasing traffic problem in urban areas, leading to nonoptimal traffic-flow and unnecessary deadlocks. In this paper, we propose an automated intersection management system that extracts data from a well-defined grid of sensors and optimizes traffic flow by controlling traffic signals. The data extraction mechanism is independent of the optimization algorithm and this paper primarily emphasizes the later one. We have used MiniZinc modeling language to define our system as a constraint satisfaction problem which can be solved using any off-the-shelf solver. The proposed system performs much better than the systems currently in use. Our system reduces the mean waiting time and standard deviation of the waiting time of vehicles and avoids deadlocks.
