大流量交通

词组短语

heavy traffic

与大流量交通相关的网络例句 [注：此内容来源于网络，仅供参考]

As the development of our country's national economy and the highway transportation business , the highway transportation appeared the characteristics of "heavy load, great flow and canalization traffic", heavy trucks and overload vehicles'number are rising,it caused a sharply increase in the times of actual total amount of standard axle load.

长安大学，道路与铁道工程，2008年，博士随着我国国民经济和公路运输事业的告诉发展，公路运输出现了"重载、大流量和渠化交通"的特点，重型货车及超载车辆急剧上升，引起实际累计标准轴次的急剧增加。

CRCP accords with the trend of highway transportation of containerization, heavy load and large traffic volume, a...

CRCP 与目前公路交通运输日益大流量、重型化的发展趋势相适应，在重交通高等级道路中有广阔的应用前景。

For the characteristics of highway mass transportation and heavy traffic and practical situation,the paper discussed the countermeasures for reference.

针对所处地区公路大流量、重交通的特点和沿线村镇干扰严重情况，论述了搞好养护的对策和措施。

It is admitted that incident management tackling nonrecurrent congestion is the primary factor that guarantees large volume, security and efficiency of freeways.

各国的研究与实践证明高速公路运营管理的关键是应对偶发性拥挤的交通事件管理系统，它是实现高速公路大流量、快速和安全的保证。

At last, by the simulation results and root-mean-square value, the traffic FIRTF neural networks learning and prediction owned on a better advantages, because that the traffic flow FIRTF and the adaptive algorithm combination integrated gda-BP networks, gdm-BP networks, gda-feedback-BP networks and gdm-feedback-BP networks of the four characteristics.

最后，通过交通流量时间序列数据进行了试验分析，说明交通流量FIRTF神经网络以及其于混沌机理的交通流量FIRTF自适应算法综合了gda-BP网络、gdm-BP网络、gda-feedback-BP网络和gdm-feedback-BP网络的特点，使得交通流量FIRTF神经网络在训练和预测的速度上占有很大的优势。

At present, our country majority cities have already established the many kinds of traffic signal control system, at the same time, the road intersection simple point signal control was still the main signal control way, timed control occupies proportion bigger, undulates a bigger road intersection in some traffic flows, to realize the signal fuzzy control to be imminent.

目前，就我国大多数城市而言，已经建立了多种交通信号控制系统，与此同时，交叉口单点信号控制仍是主要的信号控制方式，其中定时控制所占的比例较大，在一些交通流量波动较大的交叉口，实现信号模糊控制已迫在眉睫。

Nowadays the scholars of other countries have developed many algorithms,this dissertation sums up these classical traffic incidents detection algorithms and indicates that these algorithms are mostly based on other countries freeways' detection data and their main limitation is that the algorithms are lack of replantable and auto-adaptable, while our freeway has great differences with other countries in traffic flow, traffic makeup and road establishment and so on.

目前各国学者已开发出各种检测算法，本文在总结常用交通事件检测算法的基础上指出这些事件检测算法大都是基于国外道路的检测数据，且其主要缺陷表现为缺乏可移植性和自适应性，而我国道路在交通流量、道路交通组成以及道路设施等方面与国外有较大的差别，如果直接将这些方法应用于我国高速公路事件检测，检测效果不会很理想。

Since the reform and opening goes deeper in our country, the rapid progress of highway construction, not only develops the economy along the line, but also changes greatly constructor of highway transportation. As a result the character of overload ,big traffic volume and channelized traffic is more and more apparent.

改革开放以来，我国公路建设的飞速发展有力地带动了沿线经济的发展，同时也使公路运输结构发生了深刻的变化，出现了&重载、大流量和渠化交通&的特点。

This will be also true for other occurrences as long as the reasons for the change of the optimum flow capacity are investigated.

只要搞清楚交通中最大允许流量变化的机制，那么对于其它交通流现象的模拟也将具有同样的效果。

They prescribe the optimum flow capacity locally or even temporally, and usually these changes are occurrences in the traffic.

由它们可以在不同的空间和时间点控制道路允许的最大流量，而这样一些变化实为交通流中普遍存在的现象。