Title :
A stochastic traffic equilibrium model and algorithm with combined mode
Author :
Li Xian-jin ; Zhang Guo-ping ; Zhang Jie ; Lv Xuan ; Meng Meng
Author_Institution :
China Railway Express Co., Beijing, China
Abstract :
In order to investigate the stochastic traffic equilibrium assignment, the super-network theory is applied to describe the traffic network with combined mode. The mode and route choices are considered to be stochastic under elastic demand. Using the network equilibrium theory, an equivalent variational inequality model is proposed after analyzing the network equilibrium conditions. Moreover, the existence and uniqueness of an optimal solution are given. A solution algorithm for solving the model is proposed and validated by a numerical example. The influences of different parameters to OD demand and flow distribution are analyzed. These results show that this model can reflect the combined travel behavior more practically and has a certain generality.
Keywords :
network theory (graphs); optimisation; road traffic; stochastic processes; variational techniques; OD demand; combined travel behavior; combined travel mode; elastic demand; flow distribution; mode choices; network equilibrium conditions; network equilibrium theory; optimal solution; route choices; stochastic traffic equilibrium assignment; stochastic traffic equilibrium model; super-network theory; traffic network; variational inequality model; Companies; Electronic mail; Laboratories; Numerical models; Rail transportation; Stochastic processes; Combined Travel Mode; Super-network; Traffic Engineer; Traffic Equilibrium; Variational Inequality;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561615