查询词典 traffic

The Criminal Law stipulates that whoever disturbs public order so seriously that "work, production, business, education or scientific research cannot be conducted and the state and society suffer serious losses"; whoever assembles a crowd to disturb "order at stations, wharves, civil airports, market places, public parks, theatres, cinemas, exhibition halls, sports grounds or other public Places", or assembles a crowd to block traffic or undermine traffic order or resist "public security administration personnel of the state" or obstruct them "from carrying out their duties according to law, if the circumstances are serious";"whoever causes a person's injury, disability or death through 'beating, smashing and looting'" and whoever destroys or forcibly takes "articles of ppublic or private property";"whoever, by violence or other methods, including the use of 'big character posters' and 'small character posters'","publicly insults another person or fabricates facts to defame him, if the circumstances are serious";"whoever, for the purpose of counterrevolution," incites "the masses to resist or sabotage the implementation of the state's laws or decrees" or propagandizes for and incites "the overthrow of the political power of the dictatorship of the proletariat and the socialist system through counterrevolutionary slogans, leaflets or by other means" and commits a crime in violation of the Criminal Law shall be investigated for legal responsibility according to law.

因'打砸抢'致人伤残、死亡的"，"毁坏或者抢走公私财物的"；"以暴力或者其他方法，包括用'大字报'、'小字报'，公然侮辱他人或者捏造事实诽谤他人，情节严重的"；"以反革命为目的"，"煽动群众抗拒、破坏国家法律、法令实施的"，"以反革命标语、传单或者其他方法宣传煽动推翻无产阶级专政的政权和社会主义制度的，都是触犯刑律的犯罪行为，都要依法追究法律责任。

Fixed detector data of Shenzhen is used to reveal time-varying rules of traffic flow parameters during workday, weekend and holiday as well as its fluctuation degree within 24 hours. Similarity coefficient and fluctuation coefficient are cited to show the covariation and fluctuation degree of traffic flow on different days.

以检测器数据为对象进行分析，揭示了交通流参数在工作日、周末和节假日三类时间的不同变化规律以及交通流参数在一天中的波动程度；引入相似系数和波动系数，研究了各天的交通流参数在时间轴上的变化趋势的相似程度以及各天之间的波动程度。

In order to improve the accuracy, an idea raised on the interview is how the monthly increasing numbers of the customer impact the traffic of incoming call to the center. Collecting the monthly data from the Ministry of Communication, data covering the period of May 2000 through December 2001. Originally constructed the forecasting model with transfer function, the cross correlation function technique is demonstrated to the customer-traffic relationship, with particular focus on the customer lag structure. The result shown that the numbers of the customer in the third month will significantly effect upon the present call volume .

为了增加预测的精确度，从访谈得一假设在过去1、2个月新成长的客户数将对当月的话务量变化造成影响，所以从交通部统计处搜集TCC客户成长月资料，资料区间从民国八十九年五月至九十年十二月，欲建立电信公司的用户数成长数与服务电话的话务量变化之转换函数模式，但是以交叉相关函数方法显示的结果却是未来三个月预期的客户成长数将会对当月份的话务量变化造成显著的影响，以此作为本研究的发现。

By analyzing crossway traffic rules and characteristics,the paper puts forward a design of traffic light control system with VHDL and finite state machine .

以可编程逻辑器件为核心，应用VDHL语言和有限状态机的方法设计交通信号灯控制系统，在MAX+PLUS II环境下进行了仿真实验，结果显示该设计符合设计要求，通过实验，验证了设计的正确性。

By phase optimization design on arterial road coordinate control system, a new offset model for arterial road coordinate control was established. Authors considered all the factors, such as road average speed, traffic flow dispersion, turning traffic flow from crossway and asymmetry of vehicles arrival distribution in the model which greatly influenced the control effect of arterial road coordinate control scheme.

通过对协调控制系统进行相位优化设计，综合考虑各路段的平均车速、车流的离散性、相交道路的转弯车流以及车辆到达的不均匀性等各种影响干道协调控制方案实施效果的主要因素后，建立了一种新的干道协调控制相位差模型。

Purport Many factors induce traffic accident,such as the driving speed, road conditions, vehicle state, driver's behaviors, driver's culture trait and social background, road traffic environment and natural environment, etc.

意义 诱导交通事故发生的因素是多方面的，受行车速度，道路条件，车辆状况，驾驶员行为，驾驶员的文化素质和社会背景，道路交通与自然环境等因素的综合影响。

For the limitations of traditional algorithms that can not be reasonably accurately predict the traffic, we have adopted BP neural network and curvilinear regression algorithms. First, we use BP neural network to train on historical data and then use the curve of regression to predict various factors, and then forecast data into the trained BP neural network which has been trained well, you can get future traffic forecasts.

针对以上传统算法的局限性，采用BP神经网络与曲线回归耦合算法，用BP神经网络对历史数据训练，利用曲线回归对各因素待测年份之值预测，将各因素的预测值带入已训练好的BP神经网络中，即可得到未来交通量的预测值。

Key words: traffic forecast; curvilinear regression; BP neural network; curvilinear regression coupling algorithm; traffic

引用格 式：范加冬，张令刚。BP，曲线回归耦合算法在交通量预测中的应用。中国科技论文在线精品论文，2010，3(6)：619～622。

Considering both the survivability and traffic grooming in WDM mesh networks, in this paper,we propose a traffic grooming algorithm based on fault- aware and layer the network structure on basis of cycle cover algorithm.

本文综合考虑网状网生存性及业务量疏导，基于圈覆盖算法对网络进行分层，使网络结构产生分簇，提出了一种基于故障感知的业务量疏导算法，并对算法进行了仿真分析。

Upon the dawn of the 80's, unrelenting acceleration in economic trades and soical activities have caused city traffic in China to grow at unprecedented speed. Traditional road traffic facilities are showing signs of their incompatibility with modern days' needs.

进入80年代以来，我国城市的经济贸易和社会活动日益繁忙，城市交通发生了前所未有的迅速增长，传统的道路交通设施已经不能适应现代社会的需要。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。