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Article asdic traffic would be so amazing surge, mainly relying on a number of SEO techniques, through a search engine Note 2 to guide a large number of netizens came in, asdic are also thinking of an issue when the Olympics ended, how many people will back? so a large flow in vain if his loss was also full of waste.

8月18日「亚洲飞人」刘翔因受伤而退赛，当他扯掉大腿上的牌号，一拐一拐的离开鸟巢赛道的那一刻，对找他代言的厂商也带来很大的影响，但值得注意的是NIKE快速做出的应变措施，漂亮的化解这个危机。

Traffic loading and temperature variety are two main factors to induce reflective cracking of asphalt overlay on old cement concrete pavement.

交通荷载及温度变化是引起旧水泥混凝土路面沥青加铺层反射裂缝的两大因素。

The feasibility of neural network application to asphalt concrete pavement performance forecast is set forth. Three main environmental factors-traffic, rainfall, temperature, which can lead to the direct change of pavement performance are used as the input layer of neural network. The performance indexes of asphaltum concrete pavement, i.e. dilapidation rate, smoothness, deflection, friction coefficient are used as output layer. The relation between environment factor and pavement performance is acquired by introducing the module of BP Neural Network in MATLAB.

阐述了应用BP神经网络进行沥青混凝土路面使用性能预测的可行性，以环境因素，即交通量、降雨量、温度等3个直接使路面性能发生变化的主要因素作为BP神经网络的输入层，以沥青混凝土路面的破损率、平整度、弯沉值、摩擦系数等4项性能指标作为输出层，采用MATLAB语言中的BP神经网络模块进行自学习，得出环境因素与路面使用性能之间的关系。

Three main environmental factors——traffic,rainfall,temperature,which can lead to the direct change of pavement performance are used as the input layer of neural network.The performance indexes of asphaltum concrete pavement,i.e.dilapidation rate,smoothness,deflection,friction coefficient are used as output layer.The relation between environment factor and pavement performance is acquired by introducing the module of BP Neural Network in MATLAB.

阐述了应用BP神经网络进行沥青混凝土路面使用性能预测的可行性，以环境因素，即交通量、降雨量、温度等3个直接使路面性能发生变化的主要因素作为BP神经网络的输入层，以沥青混凝土路面的破损率、平整度、弯沉值、摩擦系数等4项性能指标作为输出层，采用MATLAB语言中的BP神经网络模块进行自学习，得出环境因素与路面使用性能之间的关系。

As traffic distributions in time and space are associated with each other, many factors are considered for setting up travel distribution model based on change of time.

由于交通在时间与空间上的分布相互关联，考虑了交通产生点和吸引点在空间的分布、出行量大小和职业类别比例等影响因素，建立了居民通勤、通学出行随时间分布的模型，并根据错峰上班实施前后出行随时间分布的规律，建立了错峰上班的交通影响模型，给出了评价交通效益的参数，用于该策略的可行性研究。

This paper studies the internal relationship between urban land use and traffic, reveal their regulation, and grope for how to assort with the relationship between them, in order to deal with transportation problem.

本文研究了城市土地利用与交通系统的内在联系，揭示了其中的规律，探索如何协调二者之间的关系，以解决城市交通问题。

We astonish that they are safe in the traffic accident.

我们感到惊异的是他们竟安然无恙地逃离车祸。

The experimental results prove that the model is efficient in network traffic prediction with good astringency and stability.

实验结果表明，该模型对网络流量的短期预测是有效可行的，并具有良好的收敛性和稳定性。

Various light resources in road lighting produce different optical biological effects which affect drivers'astuteness and traffic safety.

采用不同的道路照明光源，会产生不同的光生物效应，从而对驾驶员的机敏程度等产生影响，即对发现障碍的反应时间产生影响，并会影响道路照明安全。

By calculating the LST and asymptotic series of the service-time distribution we analyze the steady-state waiting-time probabilities of M/G/1 queue system. We also extend the special caseγ=3/2 to the normal case. The results show that it will be helpful to analyze the heavy-tailed waiting-time distribution of self-similar traffic sources. This chapter also proposes a generalized packets loss method.

本章第一部分通过引入一类混合指数分布并证明此类分布服从Pareto重尾分布，得到相应的LST变换闭合形式及服务时间渐进级数，同时将形状参数γ=3/2时的服务时间及其LST变换推广到更一般的情形，较为有效地解决了重尾分布的信源排队等待时间分析问题。

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。