J4 ›› 2012, Vol. 25 ›› Issue (4): 53-57.doi: 10.3976/j.issn.1002-4026.2012.04.013

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Research on short term traffic volume forecasting approaches for  the urbanized section of a freeway

 ZHOU Wei, JIA Yuan-Hua, CHEN Feng   

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2012-05-22 Published:2012-08-20 Online:2012-08-20

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Abstract:

         We construct a short term traffic volume forecasting model based on the analysis of the cause of the congestion of the urbanized section of a freeway and RBF neural network. It will provide basic theory and technical support for the evaluation of the service level and the traffic control and pilot of a freeway. We eventually verify the effectiveness of the model, taking Jingjintang freeway as an example. Result shows that the model is reasonable and feasible.

Key words: freeway, urbanized section, short term traffic volume forecasting, RBF neural network

CLC Number: 

  • U121

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