Issue 2
Apr.  2014
Turn off MathJax
Article Contents
TANG Xi ru, CHEN Yanyan, ZHAO Yuan. Short-term Traffic Prediction Theory-based Method for Discriminating Highway Abnormal Traffic Status[J]. Journal of Transport Information and Safety, 2014, (2): 95-99. doi: 10.3963/j.issn.1674-4861.2014.02.019
Citation: TANG Xi ru, CHEN Yanyan, ZHAO Yuan. Short-term Traffic Prediction Theory-based Method for Discriminating Highway Abnormal Traffic Status[J]. Journal of Transport Information and Safety, 2014, (2): 95-99. doi: 10.3963/j.issn.1674-4861.2014.02.019

Short-term Traffic Prediction Theory-based Method for Discriminating Highway Abnormal Traffic Status

doi: 10.3963/j.issn.1674-4861.2014.02.019
  • Publish Date: 2014-04-28
  • Because of the deficiency of monitoring facilities ,the efficiency of identifying traffic abnormal status of ordinary road is lower ,and the error is higher than that of highway using traditional auto-recognized method .This paper provides a new discriminated method to accelerate the processing time of traffic accidents ,which is based on the short-term traffic prediction theory and the general definition of abnormal traffic status .This method excludes self-healing situ-ations ,like recurrent congestion and Phantom traffic jams .Experiments indicate that the deviation of this method would be controlled within 0 .2 ,which means that it could identify abnormal traffic status efficiently and accurately .

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (163) PDF downloads(1) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return