A dynamic programming approach for quickly estimating large network-based MEV models

Transportation Research Part B: Methodological(2017)

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摘要
•A new approach to quickly estimate MEV models with large choice sets.•MEV models are formulated as dynamic discrete choice models.•The dynamic models generalize the network MEV and are consistent with MEV theory.•Estimation using the concept of network flows and the nested fixed point algorithm.•Numerical results based on simulated and real data.
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关键词
Multivariate extreme value models,Dynamic programming,Discrete choice,Maximum likelihood estimation,Nested fixed point algorithm,Value iteration
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