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Grid-enabled transportation routing with real-time events.

机译:具有实时事件的基于网格的运输路线。

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摘要

Transportation routing has been enhanced by the research and development in both Geographic Information System (GIS) and network analysis. This thesis furthers the advancement by tackling transportation routing for an extensive area with real-time events. An open framework was introduced by: (1) leveraging microscopic transportation simulation for travel time estimation and prediction; (2) incorporating road weather information as an example of real-time event; (3) identifying the shortest-path in a space-time network using the Dijkstra's algorithm; (4) enabling Grid computing in both traffic simulation over large areas and routing for massive concurrent user requests; and (5) integrating web-based GIServices based upon interoperability approaches.;It is expected that research results from this thesis will contribute to the developments of cyber-infrastructure applications, transportation networks and topology analyses, distributed geospatial information processing, and geospatial interoperability.
机译:通过地理信息系统(GIS)和网络分析的研究与开发,交通路线得到了增强。本文通过利用实时事件处理大范围区域的运输路线来进一步发展。通过以下方式引入了开放框架:(1)利用微观交通运输模拟进行旅行时间估计和预测; (2)将道路天气信息作为实时事件的示例; (3)使用Dijkstra算法识别时空网络中的最短路径; (4)在大面积流量模拟和路由中为同时存在的大量用户请求启用网格计算; (5)基于互操作性方法集成基于Web的GIServices。预计本论文的研究结果将有助于网络基础设施应用,交通网络和拓扑分析,分布式地理空间信息处理以及地理空间互操作性的发展。

著录项

  • 作者

    Cao, Ying.;

  • 作者单位

    George Mason University.;

  • 授予单位 George Mason University.;
  • 学科 Engineering Civil.;Transportation.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 110 p.
  • 总页数 110
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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