TY - JOUR
T1 - A dynamic traffic assignment model for a continuum transportation system
AU - Jiang, Yanqun
AU - Wong, S. C.
AU - Ho, H. W.
AU - Zhang, Peng
AU - Liu, Ruxun
AU - Sumalee, Agachai
N1 - Funding Information:
The work described in this paper was supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region, China ( HKU 7183/08E ), and the National Basic Research Program of China ( 2006CB705502 ).
PY - 2011/2
Y1 - 2011/2
N2 - A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigate the dynamic characteristics of traffic flow and the corresponding route-choice behavior of travelers within a region with a dense urban road network. The modeled region is arbitrary in shape with a single central business district (CBD) and travelers continuously distributed over the region. Within this region, the road network is represented as a continuum and travelers patronize a two-dimensional continuum transportation system to travel to the CBD. The PDUO-C model is solved by a promising solution algorithm that includes elements of the finite volume method (FVM), the finite element method (FEM), and the explicit total variation diminishing Runge-Kutta (TVD-RK) time-stepping method. A numerical example is given to demonstrate the utility of the proposed model and the effectiveness of the solution algorithm in solving this PDUO-C problem.
AB - A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigate the dynamic characteristics of traffic flow and the corresponding route-choice behavior of travelers within a region with a dense urban road network. The modeled region is arbitrary in shape with a single central business district (CBD) and travelers continuously distributed over the region. Within this region, the road network is represented as a continuum and travelers patronize a two-dimensional continuum transportation system to travel to the CBD. The PDUO-C model is solved by a promising solution algorithm that includes elements of the finite volume method (FVM), the finite element method (FEM), and the explicit total variation diminishing Runge-Kutta (TVD-RK) time-stepping method. A numerical example is given to demonstrate the utility of the proposed model and the effectiveness of the solution algorithm in solving this PDUO-C problem.
KW - Continuum model
KW - Dynamic traffic assignment
KW - Finite element method
KW - Hamilton-Jacobi equation
KW - Path-choice strategy
KW - Predictive user-equilibrium
UR - http://www.scopus.com/inward/record.url?scp=78650817770&partnerID=8YFLogxK
U2 - 10.1016/j.trb.2010.07.003
DO - 10.1016/j.trb.2010.07.003
M3 - Article
AN - SCOPUS:78650817770
SN - 0191-2615
VL - 45
SP - 343
EP - 363
JO - Transportation Research Part B: Methodological
JF - Transportation Research Part B: Methodological
IS - 2
ER -
