Modelling of Crash Types at Signalized Intersections Based on Random Effect Model
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U491.31

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    Abstract:

    Approachlevel models were developed to accommodate the diversity of approaches within the same intersection. A random effect term, which indicates the intersectionspecific effect, was incorporated into each crash type model to deal with the spatial correlation between different approaches within the same intersection. The model parameters were estimated under the Bayesian framework. Results show that different crash types are correlated with different groups of factors, and each factor shows diverse effects on different crash types, which indicates the importance of crash type models. Besides, the significance of random effect term confirms the existence of spatial correlations among different approaches within the same intersection.

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WANG Xuesong, YUAN Jinghui, YANG Xiaohan. Modelling of Crash Types at Signalized Intersections Based on Random Effect Model[J].同济大学学报(自然科学版),2016,44(1):0081~0086

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History
  • Received:January 02,2015
  • Revised:November 16,2015
  • Adopted:October 10,2015
  • Online: January 26,2016
  • Published:
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