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首页> 外文会议>78th Annual Meeting of the Transportation Research Board in January 1999 >Rule-Based Approach to Real-Time Distributed Adaptive Signal Control
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Rule-Based Approach to Real-Time Distributed Adaptive Signal Control

机译：基于规则的实时分布式自适应信号控制方法

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Most solutions for the problem of adaptive signal control involve optimization of an objective function. This paper presents a departure from this approach and describes a rule-based algorithm for effective distributed adaptive signal control of traffic networks. The control strategy, which has been termed GASCAP (Generalized Adaptive Signal Control Algorithm Project), uses queue estimates and a set of rules to determine the signal state at each intersection in the network. The GASCAP queue estimation algorithm uses upstream detector information to estimate the number of vehicles approaching an intersection and the vehicles in queue. The queue estimation algorithm is relatively insensitive to the extreme variations that may exist for cycle-to-cycle turning percentages because it uses the concept of a "partial" vehicle. The queue estimation logic and the control logic used to determine the signal state reside locally at each intersection and can be implemented as a distributed system. The signal control logic consists of a set of rules for uncongested control and an algorithm that creates a fixed time plan for congested control. The occupancy of the upstream detectors on opposing approaches are used to determine if a node is experiencing congestion. This control strategy has been tested with the TSIS/CORSIM simulation tool for three arterial traffic networks. The traffic conditions and network geometries for these arterials provide a wide range of challenges for any adaptive control strategy. Results from simulation indicate that GASCAP significantly reduced the delay and increased the throughput for each of these network.
机译：自适应信号控制问题的大多数解决方案都涉及目标函数的优化。本文提出了与这种方法的不同之处，并描述了一种基于规则的交通网络有效分布式自适应信号控制算法。该控制策略被称为GASCAP（通用自适应信号控制算法项目），它使用队列估计和一组规则来确定网络中每个交叉点的信号状态。 GASCAP队列估计算法使用上游检测器信息来估计接近交叉路口的车辆数量和排队的车辆数量。队列估计算法对逐周期转弯百分比可能存在的极端变化相对不敏感，因为它使用“部分”车辆的概念。用于确定信号状态的队列估计逻辑和控制逻辑本地驻留在每个交叉点，并且可以实现为分布式系统。信号控制逻辑由一组用于非拥塞控制的规则和一个为拥塞控制创建固定时间计划的算法组成。上游检测器在相反方法上的占用率用于确定节点是否正在发生拥塞。 TSIS / CORSIM仿真工具已经针对三个动脉交通网络测试了这种控制策略。这些动脉的交通状况和网络几何形状对任何自适应控制策略都提出了广泛的挑战。仿真结果表明，GASCAP显着减少了每个网络的延迟并提高了吞吐量。

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