The widely used Split, Cycle and Offset Optimisation Technique (SCOOT) is popular with those responsible for traffic control.
颇受欢迎的绿信比、周期和相位差优化技术（SCOOT）现在已得到广泛使用，负责对交通进行控制。
Either you, as the designer, or the website owner, should be implementing split testing constantly, on all your high traffic web pages.
无论是作为设计师的你，或是网站拥有者，都应在所有的高流量页面上，持续进行对比测试。
You just create multiple versions of your website, define what your visitor goals are (download, sign up, purchase, etc.), and then they split your traffic between the different versions.
你只需创建多个版本的网站，确定你访客目标(下载，注册，购买等)，然后在不同版本之间的切换流量。
Queue managers on separate nodes: the ultimate option is to split the traffic between queue managers on different physical servers, where each is tuned for a different type of message.
单独节点上的队列管理器：最后一个选项是在不同物理服务器上的队列管理器之间划分流量，其中每个队列管理器为不同类型的消息做了优化。
Overlapping clusters: You can split up traffic onto different channels by adding an overlapping cluster.
重叠集群：您可以通过添加重叠集群来将流量划分到不同的通道上。
This paper's result will be reference to traffic mode split forecasting, and will provide the basis for traffic impact analysis under Large-scale events.
分析结果可为大型活动期间交通方式构成预测提供参考，进而为大型活动期间交通影响分析提供基础依据。
When a new traffic mode is introduced into current transportation system, the conventional travel demand forecasting method based on revealed preference data will be useless for modal split.
当交通系统中引入新的交通方式时，传统的基于实绩选择调查数据的交通需求预测方法对于方式分担预测将会无效。
Thereafter, the validity and practicability of the proposed method were demonstrated by the examples of traffic modal split of several cities in the economic circle of Yangtze River Delta.
最后以长三角经济圈部分城市之间的交通方式划分作为实例，说明了该方法有效可行。
To alleviate this, we have pinpointed heavy-traffic areas and split up their processing duties over multiple servers, reducing the chances that a single server will become overloaded.
为了避免这个，我们已经找出了数据大量传输的地区，并将一些服务器的处理优先度分配开来，减少了单服务器负荷过大的几率。
To alleviate this, we have pinpointed heavy-traffic areas and split up their processing duties over multiple servers, reducing the chances that a single server will become overloaded.
为了避免这个，我们已经找出了数据大量传输的地区，并将一些服务器的处理优先度分配开来，减少了单服务器负荷过大的几率。
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