A Multi-Class Multi-Mode Variable Demand Network Equilibrium Model with Hierarchical Logit Structures

作者: Michael Florian , Jia Hao Wu , Shuguang He

DOI: 10.1007/978-1-4757-6871-8_8

关键词: Mixed logitMode choiceMathematical optimizationMode (statistics)Trip distributionMathematical modelMathematicsEntropy (information theory)Variational inequalityLogit

摘要: We consider a multi-class multi-mode variable demand network equilibrium model where the mode choice is given by aggregate hierarchical logit structures and destination specified as multi-proportional entropy type trip distribution model. The travel time of transit vehicles depends on other using road network. A variational inequality formulation captures all components in an integrated form. solution algorithm, based Block Gauss-Seidel decomposition approach coupled with method successive averages results efficient algorithm which successively solves models fixed demands multi-dimensional models. Numerical obtained implementation EMME/2 software package are presented data originating from city Santiago, Chile.

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