《计算机应用研究》|Application Research of Computers

面向实时路况的云端调度算法研究

Research of cloud scheduling algorithm for traffic information

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作者 陈磊,蔡铭,戴赟
机构 1.浙江大学 医学院 附属第一医院,杭州 310003;2.浙江大学 计算机科学与技术学院,杭州 310027
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文章编号 1001-3695(2013)12-3629-05
DOI 10.3969/j.issn.1001-3695.2013.12.029
摘要 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。
关键词 出行信息服务;实时路况信息;可视化感知;云端调度
基金项目 IBM大学共享研究项目
杭州市重大科技创新专项资助项目(20072313A02)
本文URL http://www.arocmag.com/article/01-2013-12-029.html
英文标题 Research of cloud scheduling algorithm for traffic information
作者英文名 CHEN Lei, CAI Ming, DAI Yun
机构英文名 1. The First Affiliatend Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China; 2. College of Computer Science & Technology, Zhejiang University, Hangzhou 310027, China
英文摘要 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.
英文关键词 traveler information system; real-time traffic information; visual sensoring technology; cloud scheduling
参考文献 查看稿件参考文献
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页码 3629-3633,3637
中图分类号 TP391
文献标志码 A