淡江大學機構典藏:Item 987654321/106910
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62822/95882 (66%)
造访人次 : 4015434      在线人数 : 542
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/106910


    题名: A DYNAMIC REAL-TIME INCIDENT DETECTION SYSTEM FOR URBAN ARTERIALS
    作者: 陳昭華;Chen, Chao-hua
    日期: 1994
    上传时间: 2016-06-24 09:21:28 (UTC+8)
    摘要: This thesis develops a dynamic arterial network incident detection system for real-time applications. The system is unique in its use of an event- driven simulation structure, along with a self-learning mechanism and monitoring function. These features enable a traffic control center to minimize response time and to take proactive actions prior to the formation of congestion. This kind of system can also be integrated with adaptive traffic signal control and route guidance systems to maximize a network's operational capacity during recurrent and non-recurrent congestion. The system consists of three components: a dynamic traffic flow prediction module, an incident identification and assessment module, and an intelligent control component.
    關聯: 250 pages
    显示于类别:[運輸管理學系暨研究所] 學位論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    目錄.pdf653KbAdobe PDF140检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈