• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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Volume 18 Issue 2
Apr.  2005
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Article Contents
LIU Shi-chao. ForecastM odel ofRoad Section Traffic Flow Based onM aximum Likelihood Estimation[J]. Journal of Southwest Jiaotong University, 2005, 18(2): 245-248.
Citation: LIU Shi-chao. ForecastM odel ofRoad Section Traffic Flow Based onM aximum Likelihood Estimation[J]. Journal of Southwest Jiaotong University, 2005, 18(2): 245-248.

ForecastM odel ofRoad Section Traffic Flow Based onM aximum Likelihood Estimation

  • Publish Date: 25 Apr 2005
  • Based on analyzing the shortcoming of present traffic flow forecasting, the maximum likelihood estimationwasused to forecastthe traffic flow ofroad sections. The essence of thismethod is thatupstream observationalvariables in a successional time region are looked as explanatory variables, and the maximum likelihood estimation is applied to seek the relationship between the observational variables and the variables to be predicted to forecast the traffic flow of a road section. An example shows that themaximum error rate between the forecasted and actual values of traffic flow is 5. 76%.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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