The probability updating algorithm for acyclic Temporal Bayesian network based on model simplification and general probability updating algorithm for Temporal Bayesian network are presented.
This paper introduces the Bayesian model for introducing od trip matrices, proves the convergence of the updating solutions of the model, and derives the expression of the convergent solution.
引入了贝叶斯od流估算模型,证明了模型的迭代解的收敛性,并给出了最优解的形式。
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The results demonstrate that the model predictive precision can be significantly improved when utilizing Bayesian model updating method in model validation.