A general dynamical system model with link-based variables is formulated to characterize the processes of achieving equilibria from a non-equilibrium state in traffic networks. Several desirable properties of the dynamical system model are established, including the equivalence between its...

This paper proposes a combination of trial-and-error congestion pricing schemes that have been studied in the literature. It not only considers the minimization of the total system cost but also addresses the capacity constraints. A two-level iteration method is proposed for solving the hybrid...

This paper investigates the Pareto efficiency of the various reliability-based traffic equilibria proposed in the literature and the risk-taking behavior of travelers. Reliability indexes such as the percentile travel time (PTT), travel time budget (TTB), mean excess travel time (METT) and the...

Morning commuters choose their departure times based on a combination of factors—the chances of running into bottleneck congestion, the likely schedule delays, and parking space availability. This study investigates the morning commute problem with both bottleneck congestion and parking space...

The objective of this paper is to enhance the insights into commuters' travel choice behaviors in a competitive railway/highway system with continuum park-and-ride services along a travel corridor. It is assumed that parking charges gradually decrease from the city center to the corridor...

The notions of user equilibrium (UE) and system optimum (SO) often allude to the literature together with the well-known principle of marginal-cost pricing in traffic network analyses. This pricing principle states that the UE flow pattern on a network can be driven to an SO in the sense of...

This paper deals with the modeling of peak-period congestion and optimal pricing in a queuing network with elastic demand. The approach employed in our study is a combined application of the space-time expanded network (STEN) representation of time-varying traffic flow and the conventional...

Recently, a bilevel programming approach has been used for estimation of origin-destination (O-D) matrix in congested networks. This approach integrates the conventional generalized least squares estimation model and the standard network equilibrium model into one process. We extend this...