智能交通系统中，车辆的行驶速度是重要的参数之一。
The vehicle speed is one of the most important parameters in intelligent transportation system.
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。
Last algorithms are designed for flow flux statistic, unit time traffic load, vehicle speed and roadway occupancy rate. Traffic flow parameter detection is implemented.
该模型显示了转向架的主要设计参数对车辆临界速度的影响，并将由此获得的车辆的性能与装用常规转向架的车辆性能进行了比较。
It shows the effect of main design parameters of bogies to the critical speed of cars. And car performance obtained from it is compared with that of cars with common bogies.
从定义各类型车辆所占用的动态空间瞬时车道占有率入手，提出了以车辆瞬时占用车道长度与速度的比值为参数，基于模糊动态聚类对车辆进行分类的方法。
The paper analyzes the characteristics of fuzziness of dynamic space occupancy of different vehicles on urban arterials, and classifies the different vehicles by means of fuzzy clustering.
从定义各类型车辆所占用的动态空间瞬时车道占有率入手，提出了以车辆瞬时占用车道长度与速度的比值为参数，基于模糊动态聚类对车辆进行分类的方法。
The paper analyzes the characteristics of fuzziness of dynamic space occupancy of different vehicles on urban arterials, and classifies the different vehicles by means of fuzzy clustering.
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