The advanced distributed ramp metering system (ARMS)

Second Workshop on Parallel and Distributed Real-Time Systems Pub Date : 1994-04-28 DOI:10.1109/WPDRTS.1994.365655

Jyh-Charn S. Liu, Junguk L. Kim, Soojung Lee, T. Urbanik

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引用次数: 5

Abstract

Ramp metering is an important technique to effectively utilize the freeway capacity by regulating the traffic flow of freeway entrance ramps. In this extended abstract, we discuss the outline of the free flow control algorithm of the Advanced distributed Ramp Metering System, ARMS, for the real-time control of freeway ramp metering systems. ARMS consists of three levels of control algorithms integrated together for free flow control, breakdown prediction, and congestion resolution. Based on a free flow traffic model, the free flow control algorithm takes into account of the congestion risk when it tries to maximize the traffic throughput. The breakdown prediction algorithm can make prediction on the possibility of imminent congestion caused by flow breakdown, and the congestion resolution algorithm is to resolve the congestion if it actually occurs. The ARMS has a modular architecture so that it can be scaled for incremental implementation. To control freeway traffic, a system wide optimization objective is first defined for a target area. Then, ramp metering decisions are made by the entrance ramp controllers within the target area after their traffic data are exchanged.<>

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先进的分布式匝道计量系统(ARMS)

匝道计量是通过调节高速公路入口匝道的交通流量来有效利用高速公路通行能力的一项重要技术。在这篇扩展摘要中，我们讨论了用于高速公路匝道计量系统实时控制的先进分布式匝道计量系统(ARMS)的自由流控制算法的概要。ARMS由三个级别的控制算法集成在一起，用于自由流量控制、故障预测和拥塞解决。自由流控制算法基于自由流交通模型，在实现交通吞吐量最大化的同时考虑了拥塞风险。故障预测算法可以预测由于流量故障导致即将发生拥塞的可能性，而拥塞解决算法则是在实际发生拥塞时解决拥塞。ARMS有一个模块化的体系结构，因此它可以被扩展为增量实现。为了控制高速公路交通，首先为目标区域定义一个系统范围的优化目标。然后，在交换交通数据后，由目标区域内的入口匝道控制器做出匝道计量决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Second Workshop on Parallel and Distributed Real-Time Systems

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