Dynamic equilibrium traffic assignment with elastic demand is analyzed on an over saturated network for a many-to-one origin-destination pattern. The model aims to obtain time-dependent cumulative arrival curves or equivalently arrival flow rates at each of the nodes explicitly taking into account the effects of queues. We assume that the OD demand is elastic; that is, the departure times of users should be determined through the assignment given time constraints at the single destination such as work starting times. We first show that the problem can be decomposed with respect to the arrival time at the destination. Alternative formulations for the problem are then shown as the Variational Inequality, Nonlinear Complementarity and Fixed Po...
The paper develops a multiclass, multimodal dynamic traffic equilibrium model with consideration of ...
The paper develops a multiclass, multimodal dynamic traffic equilibrium model with consideration of ...
In this paper, we develop a multiclass, multicriteria traffic network equilibrium model in which tra...
The ability to realistically capture trip-makers’ responses to time-varying road charges is essentia...
This paper develops a cell-based formulation for the simultaneous route and departure time choice pr...
A multiperiod time-dependent model for departure time and route choices in networks with residual qu...
This paper is concerned with the existence of solutions to a dynamic network equilibrium problem mod...
Dynamic Traffic Assignment (DTA), which is to determine the network traffic pattern over time as a r...
Dynamic Traffic Assignment (DTA), which is to determine the network traffic pattern over time as a r...
The problem of dynamic traffic assignment is to predict the evolution of the flow pattern in a netwo...
In this paper we present a dual-time-scale formulation of dynamic user equilibrium (DUE) with demand...
Several analytic approaches have been developed to describe or predict traffic flows on networks wit...
A within-clay dynamic demand model is formulated, embodying, in addition to the classic generation, ...
We propose a multimode stochastic dynamic simultaneous route/departure time equilibrium model. The m...
This paper deals with the modeling of peak-period congestion and optimal pricing in a queuing networ...
The paper develops a multiclass, multimodal dynamic traffic equilibrium model with consideration of ...
The paper develops a multiclass, multimodal dynamic traffic equilibrium model with consideration of ...
In this paper, we develop a multiclass, multicriteria traffic network equilibrium model in which tra...
The ability to realistically capture trip-makers’ responses to time-varying road charges is essentia...
This paper develops a cell-based formulation for the simultaneous route and departure time choice pr...
A multiperiod time-dependent model for departure time and route choices in networks with residual qu...
This paper is concerned with the existence of solutions to a dynamic network equilibrium problem mod...
Dynamic Traffic Assignment (DTA), which is to determine the network traffic pattern over time as a r...
Dynamic Traffic Assignment (DTA), which is to determine the network traffic pattern over time as a r...
The problem of dynamic traffic assignment is to predict the evolution of the flow pattern in a netwo...
In this paper we present a dual-time-scale formulation of dynamic user equilibrium (DUE) with demand...
Several analytic approaches have been developed to describe or predict traffic flows on networks wit...
A within-clay dynamic demand model is formulated, embodying, in addition to the classic generation, ...
We propose a multimode stochastic dynamic simultaneous route/departure time equilibrium model. The m...
This paper deals with the modeling of peak-period congestion and optimal pricing in a queuing networ...
The paper develops a multiclass, multimodal dynamic traffic equilibrium model with consideration of ...
The paper develops a multiclass, multimodal dynamic traffic equilibrium model with consideration of ...
In this paper, we develop a multiclass, multicriteria traffic network equilibrium model in which tra...