作者: Jerome Thai , Rim Hariss , Alexandre Bayen
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摘要: A common behavioral assumption in the modeling of traffic networks is user equilibrium. Since volumes, resulting from rational behavior agents, are easily but sparsely observable, and delay functions not directly we present a mathematical program with equilibrium constraint (MPEC) framework to impute centrally control system partial observations equilibria. We also develop novel method for solving MPECs using multi-convex optimization. Our block descent has an intuitive interpretation, numerical experiments demonstrate its accuracy structural estimation, highlight importance sensor placement toll pricing.