This paper studies the stability issues of the traveler's day-to-day route adjustment process in the general transportation network with fixed or elastic demand, homogeneous or heterogeneous users. Each traveler is assumed to adjust his/her route choice according to the excess travel cost between the instantaneous experienced travel cost and a certain referred level, which induces an aggregate path flow dynamics. We call the path flow dynamics the excess travel cost dynamics, which corresponds to the excess payoff dynamics in evolutionary games and serves a general framework of modeling the homogeneous or heterogeneous route choice behavior of travelers. © 2011 IEEE
Traffic equilibrium models under uncertainty characterize travelers’ route choice behaviors under tr...
Stochastic link capacity degradations are common phenomena in transport network which can cause trav...
This paper offers a new look at the network flow dynamics from the viewpoint of physics by demonstra...
Based on the price-quantity adjustment behaviour principle of disequilibrium theory, the route choic...
A theoretic formulation on how traffic time information distributed by ITS operations influences the...
A critical aspect in strategic modeling of transportation systems is user heterogeneity. In many rea...
This paper proposes a traffic-flow evolutionary model under a dual updating mechanism that describes...
Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drive...
Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drive...
Abstract. Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which...
The ability to realistically capture trip-makers’ responses to time-varying road charges is essentia...
This paper presents a stability analysis for the dynamic model of a travel route choice adjustment p...
It is widely acknowledged that, to create models for transportation planning that recognize the esse...
An analytical model is developed for a two link network subject to congestion both recurrent and inc...
The notion of inertia is originally a term in physics that describes the tendency of an object susta...
Traffic equilibrium models under uncertainty characterize travelers’ route choice behaviors under tr...
Stochastic link capacity degradations are common phenomena in transport network which can cause trav...
This paper offers a new look at the network flow dynamics from the viewpoint of physics by demonstra...
Based on the price-quantity adjustment behaviour principle of disequilibrium theory, the route choic...
A theoretic formulation on how traffic time information distributed by ITS operations influences the...
A critical aspect in strategic modeling of transportation systems is user heterogeneity. In many rea...
This paper proposes a traffic-flow evolutionary model under a dual updating mechanism that describes...
Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drive...
Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drive...
Abstract. Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which...
The ability to realistically capture trip-makers’ responses to time-varying road charges is essentia...
This paper presents a stability analysis for the dynamic model of a travel route choice adjustment p...
It is widely acknowledged that, to create models for transportation planning that recognize the esse...
An analytical model is developed for a two link network subject to congestion both recurrent and inc...
The notion of inertia is originally a term in physics that describes the tendency of an object susta...
Traffic equilibrium models under uncertainty characterize travelers’ route choice behaviors under tr...
Stochastic link capacity degradations are common phenomena in transport network which can cause trav...
This paper offers a new look at the network flow dynamics from the viewpoint of physics by demonstra...