• An optimization method for the minimum probe vehicles sample size of urban road network in mobile traffic detection system was proposed.

    提出了一种在移动交通检测系统中确定路网浮动车最小样本数量的优化方法。

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  • Traffic detection and information collection has become an important subject in ITS, and vehicle detection, shadow elimination, vehicle recognition and tracking are the basic parts.

    交通检测与信息采集已经成为智能交通系统中的一项重要课题,车辆的检测、阴影去除、车辆识别与跟踪则是其中最基础的部分。

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  • Taking the citywide traffic system example above, an analysis level might include system elements such as the traffic signaling, traffic detection, central control, and override control, among others.

    在上面全市交通系统的例子中,分析层级可能包括诸如交通信号、交通探测、中央控制和过载控制等系统元素。

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  • The traffic manager sends out a cluster detection message to the broadcast domains for each interface on the machine.

    流量管理器将向机器上各个端口的广播域发出一条集群检测消息。

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  • Deep packet processing requires extremely high speed analysis, detection, and re assembly of application traffic to avoid delays in applications.

    深度数据包处理要求以极高的速度分析、检测及重新组装应用流量,以避免应用时带来时延。

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  • In traffic peccancy detection and algorithm of background updating, we employ the vehicle detection technique based on morphological edge detection and background difference.

    对车辆违章行为检测算法以及背景更新算法,我们采用了基于形态边缘检测和背景差分的算法进行检测。

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  • It consists of three main elements: the congestion status control packet, the early congestion detection and the adaptive rate traffic conditioner.

    该方案主要包括三个组成部分:拥塞状态控制分组、早期拥塞检测和流量控制算法。

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  • A detection and recognition method for traffic signs are presented.

    提出了一种检测和识别交通标志的方法。

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  • The network traffic burst detection archetype system can report the time range and aggregate mean value for the lasting bursts, break time point and peak value for abrupt bursts.

    设计的网路流量突发异常检测原型系统能够报告持续性突发的出现时间范围、平均聚集值,突变性突发的发生时间、峰值。

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  • Through the comparison of the results from the experiment and wavelet analysis, it shows that network-wide traffic anomaly detection based on subspace method is more simple and effective.

    通过实验结果与小波分析结果的对比,证明了基于子空间方法的大规模网络流量异常检测是一种既简单又高效的方法。

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  • A video traffic flow information collection system is developed based on this method, its detection arithmetic and image processing arithmetic are designed in software.

    在此基础上,设计和实现了视频交通流信息采集系统,并用软件实现检测算法和图像处理算法。

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  • Motion object detection is widely used in the areas of smart traffic monitoring, vehicle navigation, assistant driving and automatic toll collection on freeways.

    运动目标的检测在智能交通监控、车辆导航、辅助驾驭、高速公路上的自动收费等都有广泛的应用。

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  • A network traffic anomaly detection mechanism is presented based on support vector machine (SVM).

    提出了一种基于支持向量机的网络流量异常检测方法。

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  • Establishing advanced system of traffic incidents auto detection is one content of intelligent traffic searching.

    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。

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  • This paper presents and implements a macro-network traffic anomaly detection strategy based on sequential frequent pattern mining.

    基于序贯频繁模式挖掘,提出并实现了一种宏观网络流量异常检测的方法。

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  • This paper introduces in detail the components and main functions of the superhighway tunnel traffic 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。

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  • Finally this paper presents the performance of our traffic flow detection radar and the hardware testing platform, which achieves the operation requirement.

    最后还给出本课题组研制的车流量检测雷达的测试平台和测试性能指标,达到了实际使用的要求。

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  • This paper proposes a recursive forecast method for elevator traffic flow based on outlier detection.

    提出一种基于异常值检测的电梯交通流递归预测方法。

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  • The traffic abnormity detection is a important task in the traffic manage system, and it becomes more important in the ITS.

    交通异常情况检测一直是交通管理中的重要任务,其在智能交通系统中显得尤为重要。

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  • This paper presents a new method of network traffic abnormity detection in light with the difficulties in traditional procedure.

    针对传统检测方法存在的问题,提出了一种新型的网络流量异常检测方法。

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  • Driver fatigue is one of the chief causes of traffic accident, and driver fatigue detection is attractive in Intelligent Transportation Systems (ITS).

    驾驶员疲劳驾驶是造成交通死亡事故的重要原因之一,驾驶疲劳检测已成为智能运输系统(its)研究的热点之一。

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  • Last algorithms are designed for flow flux statistic, unit time traffic load, vehicle speed and roadway occupancy rate. Traffic flow parameter detection is implemented.

    并且设计了车辆计数、速度测量、车道分钟交通量和车道时间占有率的算法,实现了交通流参数的检测。

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  • A traffic behavior pattern learning method was presented for realizing automatic traffic event detection based on video.

    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。

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  • At last, the author puts forward a system structure of video detection technology applied in traffic safety, and the performance of the system is validated in the practice.

    最后,综合事件检测和事故再现上的应用,提出了基于视频检测技术的交通安全系统的框架结构,并在实际应用中验证了系统的性能。

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  • In order to reduce the number of traffic accidents, such as rear-front collision, vehicle parking detection method based on computer vision is studied.

    为减少高速公路上车辆追尾等交通事故的发生,研究了基于机器视觉的车辆停车检测方法。

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  • Anomaly detection based on network traffic model is one of the important research directions in traffic anomaly detection.

    基于网络流量模型的异常检测是流量异常检测的一个重要研究方向。

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  • An automatic accident detection method based on traffic flow parameters will be accessed, through simulating the physical environment of urban tunnel with traffic simulation software VISSIM.

    采用VISSIM交通仿真软件,对城市隧道内的物理环境进行仿真,可设计出一种基于交通流参数的交通事故自动检测方法。

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  • An automatic accident detection method based on traffic flow parameters will be accessed, through simulating the physical environment of urban tunnel with traffic simulation software VISSIM.

    采用VISSIM交通仿真软件,对城市隧道内的物理环境进行仿真,可设计出一种基于交通流参数的交通事故自动检测方法。

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