AOID: Adaptive On-line Incident Detection System

机译：AOID：自适应在线事件检测系统

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摘要

The provisions of any emergency management system with respect to the public safety necessitates the inclusion of the transportation network. The transportation network provides a means for mitigation strategies for any disaster, whether it is natural or human-induced. In this paper, we introduce a set of tools to integrate with a traffic information system to provide automatic traffic incident detection and traffic forecast. Current automated incident detection techniques may not perform well under changing traffic patterns, recurrent congestions, and may require large amounts of training data. We propose a solution to mitigate these shortcomings by utilizing predicted traffic models and performing comparative analysis against observed traffic patterns to automatically detect incidents.

机译：任何紧急管理系统关于公共安全的规定需要纳入运输网络。交通网络为任何灾难提供缓解策略的手段，无论是自然还是人类诱导。在本文中，我们介绍了一组与交通信息系统集成的工具，以提供自动交通事故检测和流量预测。目前的自动入射检测技术可能在不断变化的交通模式，复发性拥塞下不得良好，并且可能需要大量的训练数据。我们提出了一种解决方案来通过利用预测的交通模型来减轻这些缺点，并对观察到的交通模式进行比较分析以自动检测事件。

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来源
《IEEE Intelligent Transportation Systems Conference》|2006年||共6页
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作者
Arnold P. Boedihardjo; Chang-Tien Lu;
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原文格式 PDF
正文语种
中图分类 U495-53;
关键词
Automated incident detection; Data mining and analysis; Intelligent highway systems;

机译：自动事件检测;数据挖掘和分析;智能公路系统;

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AOID: Adaptive On-line Incident Detection System

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