一个好的自动交通事件检测系统，车辆检测是关键。
Vehicle detection is very important in a good automatic transport incident detection system.
详细介绍了高速公路隧道交通事件检测系统的构成及主要功能。
This paper introduces in detail the components and main functions of the superhighway tunnel traffic incident detection system.
自动交通事件检测系统作为智能交通系统重要的一部分，越来越受到广大学者们的关注。
As an important part of ITS, the automobile incident detection system get more attention from many academicians.
回顾几种传统的交通事件检测算法，提出从多层前向人工神经网络角度建立模型，并运用BP算法予以实现。
Several traditional algorithms used in traffic incident detection are reviewed. A detection model based on artificial neural network is proposed and implemented with BP algorithm.
建立先进的交通事件自动检测系统是智能交通研究的内容之一。
Establishing advanced system of traffic incidents auto detection is one content of intelligent traffic searching.
提出了一种用于基于视频的交通事件自动检测的交通行为模式学习方法。
A traffic behavior pattern learning method was presented for realizing automatic traffic event detection based on video.
本文详细描述了基于视频技术的车辆检测与跟踪，分析并研究了车辆超速、超车等交通事件，提出相应的具体检测方法并给出实验结果。
Several methods based on vehicle detecting and tracking, which are used to detect traffic incidents such as over-speed, have been described in detail in this thesis.
本文提出的检测算法不仅能够判断交通事件是否发生，而且能够判断事件性质，是一种多输入、多输出的检测算法。
The algorithm can not only deduce whether the incident happened, but also the state of the traffic flow. It is a multi-inputs and multi-outputs algorithm.
实验证明，本文的方法可以准确地检测出道路上的交通事件，具有很好的实用价值。
The experiment proved that the approach in this paper can detected the road traffic incident accurately, it had best practical value.
在交通控制系统管理中，交通事件的自动检测是目前最具代表性的智能化管理手段。
In the traffic control system management, traffic incident automatic detection is the most representative intelligent management means.
因此，如何快速地检测交通事件的发生并采取措施，以有效减少交通延误和保障道路安全已成为备受关注的问题。
Consequently, how to detect the traffic incidents rapidly so as to take measures to reduce the traffic delay effectively and ensure the safety of transport has been paid much attention.
因此，如何快速地检测交通事件的发生并采取措施，以有效减少交通延误和保障道路安全已成为备受关注的问题。
Consequently, how to detect the traffic incidents rapidly so as to take measures to reduce the traffic delay effectively and ensure the safety of transport has been paid much attention.
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