traffic volume adjustment factor 交通量修正系数
Scene-based dynamic adjustment of resources system for SHANDONG Mobile makes forecasts of datas such as Traffic in different scenes to solve the problem.
山东移动场景化资源动态调整系统就是为了解决这种问题,针对不同的特定场景进行对话务量等数据的预测。
But all the traffic light control systems are working in standing sequence, and are unable to make adjustment with different traffic flow.
但现有的交通信号灯控制系统都是单一的固定时序控制,不能够根据实际交通状况进行调节控制。
Start from the combing of the basic data, we obtain dynamic adjustment of staffing through forecasting telephone traffic and operator service.
从基础数据梳理开始,通过话务量预测和话务员服务能力,形成随话务量变化而动态调整的人员配置。
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