作者: Michael Florian , Jia Hao Wu , Shuguang He
DOI: 10.1007/978-1-4757-6871-8_8
关键词: Mixed logit 、 Mode choice 、 Mathematical optimization 、 Mode (statistics) 、 Trip distribution 、 Mathematical model 、 Mathematics 、 Entropy (information theory) 、 Variational inequality 、 Logit
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.