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71.
This paper formulates a comprehensive methodology for analyzing, quantifying and identifying congestion characteristics based on speed distribution. Utilizing vehicle speed data, a mathematical approach is applied, in order to characterize roadway segments, in terms of travel reliability, congestion severity and duration. We argue that the Gaussian mixture model (GMM) and its parameter combination is the appropriate tool if we are to obtain quantitative congestion measures and rank roadway performance. A significant contribution of our approach is that it is based on assumptions regarding mixed components as well as speed distribution and can be applied to large databases. We test our framework on the greater Toronto and Hamilton area in Ontario, Canada, and conclude that congestion quantification through the application of the GMM can be successfully accomplished. Results indicate that speed patterns differ significantly between counties as well as days of the week. 相似文献
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文章基于同一基准的光伏发电变换器电路,在Matlab/Simulink平台下对扰动观察法、电导增量法等多种MPPT算法进行了仿真分析,在误判、稳态振荡、动态性能、累计发电量等方面进行了比较。为使仿真更接近实际情况,在仿真中采用了随时间线性变化的光照作为外部环境条件。此外,在理论上分别对扰动观察法与电导增量法做了较深入的数学解释和几何解释两方面的比较。仿真结果和理论分析均表明,二者并无显著的差别。 相似文献
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铁道车辆转向架的横向稳定性是指车辆以较高的速度在平直线路上运行,某一振型的振幅随着时间的延续而不断地扩大,这时就出现蛇行运动失稳。高速铁道车辆的研究急需关注的问题是防止出现蛇行失稳。通过在线实时监测其失稳是保障安全的手段之一,而如何实时监测蛇行失稳需要有满足时间约束条件的监测诊断算法,该算法即要满足有关标准的条件,又要具备实时监测的条件。研究了利用高斯混合模型(GMM)算法监测构架横向稳定性的机理与实现过程。该算法在25T列车安全监测系统得到应有,实践证明符合实时监测要求。 相似文献
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Weaving segments are potential recurrent bottlenecks which affect the efficiency and safety of expressways during peak hours. Meanwhile, they are one of the most complicated segments, since on- and off-ramp traffic merges, diverges and weaves in the limited space. One effective way to improve the safety of weaving segments is to study crash likelihood using real-time crash data with the objective of, identifying hazardous conditions and reducing the risk of crashes by Intelligent Transportation Systems (ITS) traffic control. This study presents a multilevel Bayesian logistic regression model for crashes at expressway weaving segments using crash, geometric, Microwave Vehicle Detection System (MVDS) and weather data. The results show that the mainline speed at the beginning of the weaving segments, the speed difference between the beginning and the end of weaving segment, logarithm of volume have significant impacts on the crash risk of the following 5–10 min for weaving segments. The configuration is also an important factor. Weaving segment, in which there is no need for on- or off-ramp traffic to change lane, is with high crash risk because it has more traffic interactions and higher speed differences between weaving and non-weaving traffic. Meanwhile, maximum length, which measures the distance at which weaving turbulence no longer has impact, is found to be positively related to the crash risk at the 95% confidence interval. In addition to traffic and geometric factors, wet pavement surface condition significantly increases the crash ratio by 77%. The proposed model along with ITS, e.g., ramp metering, Dynamic Message Sign (DMS), and high friction surface treatment can be used to enhance the safety of weaving segments in real-time. 相似文献
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针对混合高斯模型背景建模在视频运动目标检测中的不足,提出了将混合高斯模型与三帧差分相结合来对视频中运动目标进行检测的算法。由混合高斯模型得到前景和背景,利用当前帧与混合高斯模型所得到的背景相减可以得到一个前景,使用三帧差分和边缘检测得到运动物体的精确轮廓,对此轮廓进行填充得到一个前景,将此三步前景进行运算得到最终的结果;通过新的更新策略来快速地对背景进行建模,以像素点的稳定性来调整像素点的更新速度,从而减少算法运算量,提高算法的运行速度。 相似文献
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康文超 《兰州交通大学学报》2013,(6):137-140
以丙烷的运输为例,采用了高斯烟羽模型,分析了危险货物发生泄漏事故后的扩散过程,获得了丙烷在不同大气稳定类别条件下的致死区域和致伤区域半径情况;建立了多泄漏源危险货物扩散模型,分析了危险货物车辆布置方式对多泄漏源危险货物扩散的影响,结果表明应优先采用集中布置的方式,车辆数对扩散浓度有影响,扩散浓度的增加率高于车辆教的增加率. 相似文献