Consider a city, with multiple regional activity centers (RACs), in which the locations of traveler demand are continually dispersed. The total demand generated from a particular location in the city is fixed, but the demands from this location to the RACs are subject to a distribution function with respect to the relative transportation cost to each RAC. We take into account the cost of transportation in characterizing travelers' choices. The congestion effect is explicitly built into the model by using a flow- and location-dependent transportation cost function. The routing behavior of travelers in the city and the user equilibrium choices of RACs are modeled by constructing a spatial user equilibrium flow pattern. The problem is formulat...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigat...
Consider a general, heterogeneous geographical space with a set of competitive facilities, where the...
Consider a city with several facilities competing for multi-class users that are distributed continu...
With the development of the advanced Intelligent Transportation System (ITS) in modern cities, it is...
This paper develops a mixed, combined, and stochastic user-equilibrium model for urban location and ...
Consider a city with several highly compact central business districts (CBD), and the commuters' des...
We consider a city region with several facilities that are competing for customers of different clas...
Consider a city with several highly compact central business districts (CBD), and the commuters' des...
This paper will consider a city with several highly compact central business districts (CBDs). The c...
A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigat...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
The paper presents a new algorithm for traffic assignment, called LUCE, which iteratively solves a s...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigat...
Consider a general, heterogeneous geographical space with a set of competitive facilities, where the...
Consider a city with several facilities competing for multi-class users that are distributed continu...
With the development of the advanced Intelligent Transportation System (ITS) in modern cities, it is...
This paper develops a mixed, combined, and stochastic user-equilibrium model for urban location and ...
Consider a city with several highly compact central business districts (CBD), and the commuters' des...
We consider a city region with several facilities that are competing for customers of different clas...
Consider a city with several highly compact central business districts (CBD), and the commuters' des...
This paper will consider a city with several highly compact central business districts (CBDs). The c...
A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigat...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
The paper presents a new algorithm for traffic assignment, called LUCE, which iteratively solves a s...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
Urban road networks are generally shared by cars, buses and freight vehicles whose travel times are ...
A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigat...