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Apr.  2014
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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 .

     

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