Intelligent decision support for traffic management
Intelligent decision support for traffic management
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发表时间：
2010
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通讯作者：
R. Krishnan;Victoria J. Hodge;J. Austin;J. Polak;Thomas W. Jackson;Mike J. Smith;Tzu-Chang Lee
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作者：
R. Krishnan;Victoria J. Hodge;J. Austin;J. Polak;Thomas W. Jackson;Mike J. Smith;Tzu-Chang Lee
城市交通控制系统，如广泛部署的SCOOT系统，逐步响应不断变化的交通状况。这些系统通常由交通控制中心补充，在交通控制中心，道路网络管理人员进行人工干预，以缓解迅速发展的拥堵事件。本文介绍了作者在英国FREEFLOW（FF）项目中开发的一个智能决策支持（IDS）系统，以帮助网络管理人员。FF IDS系统的主要目标是近实时地识别交通拥堵，并推荐适当的交通控制干预措施。FF-IDS由多个内部组件组成。状态估计组件监视实时交通传感器数据并确定道路网络上是否存在拥塞问题。如果识别出问题，则使用二进制神经模式匹配组件来识别具有类似拥塞事件的过去时间段。这能够快速搜索大型历史交通数据集，找到在类似历史时间段内进行的交通控制干预的集合。使用性能指数（PI）评估每个干预措施的有效性，并向网络管理员推荐PI改善最大的干预措施。FF-IDS系统还可以将在这些历史时间段期间发生的流量事件和设备故障作为问题的潜在原因呈现给网络管理器。本文详细介绍了FF-IDS系统。该系统目前正在开发中。FF-IDS系统的早期版本使用来自伦敦的离线数据进行了试验，产生了令人鼓舞的初步结果。
Urban traffic control systems such as the widely deployed SCOOT system, incrementally respond to changing traffic conditions. Such systems are often complemented by traffic control centres where road network managers intervene manually to mitigate rapidly developing congestion events. An Intelligent Decision Support (IDS) system developed by the authors within the UK FREEFLOW (FF) project to aid the network managers is presented in this paper. The primary objective of the FF IDS system is to identify traffic congestion in near-real-time and to recommend appropriate traffic control intervention measures. The FF-IDS consists of multiple internal components. A state estimation component monitors live traffic sensor data and determines if there is a congestion problem on the road network. If a problem is identified, a binary neural pattern-matching component is used to identify past time periods with similar congestion events. This is able to rapidly search large historic traffic datasets finding sets of traffic control interventions carried out during similar historical time periods. The effectiveness of each intervention is evaluated using a Performance Index (PI) and the intervention that resulted in the highest improvement in PI is recommended to network managers. The FF-IDS system can also present traffic incidents and equipment faults that occurred during these historical time periods to the network manager as potential causes of the problem. This paper describes the FF-IDS system in detail. The system is currently under development. An early version of the FF-IDS system was trialled using off-line data from London, yielding encouraging preliminary results.