面向实时路况的云端调度算法研究

Research of cloud scheduling algorithm for traffic information

针对现有的出行信息服务系统存在实时路况数据源不足、可视化感知手段缺乏、交互协作能力薄弱等问题,通过提升信息分享"端"的路况实景获取能力及信息分发"云"端的智能调度能力,设计了一种面向实时路况移动感知的出行信息服务系统交互模型MMTIS,以及基于"云"端调度模型的实现算法,进行了仿真实验及移动终端样机测试,研制完成了一套出行信息服务平台,并开展了应用推广。

To solve the lack of real-time traffic information source, visual sensoring and interaction ability, this paper proposed a novel model of traveler information system--MMTIS, based on mutual interaction between cloud scheduling and intelligent terminal sensoring. It mainly focused on the research of cloud scheduling algorithm, combined with simulation and model machine testing. This paper presented a traveler information system based on MMTIS, along with the industrialization case study.