Most shortest path algorithms do not explicitly consider intersection movements in calculating best paths. However, in congested street networks, turning movement delays can be significant, and ignoring them may lead to the calculation of suboptimal or illogical paths. To reflect turning...

A continuum model that describes a disordered, heterogeneous traffic stream is presented. Such systems are widely prevalent in developing countries where classical traffic models cannot be readily applied. The characteristics of such systems are unique since drivers of smaller vehicles exploit...

This paper focuses on modeling unobserved effects in route-switching dynamics under advanced traveler information systems (ATIS). The analysis explicitly accounts for the presence of heterogeneity in behavior and a general stochastic pattern for the unobservables. The dynamic kernel logit (DKL)...

A variety of analytical and simulation-based models and algorithms have been developed for the dynamic user equilibrium (DUE) traffic assignment problem. This paper aims to develop a theoretically sound simulation-based DUE model and its solution algorithm, with particular emphasis on obtaining...

A modeling framework is presented for investigating the dynamic properties of a system of commuters located along a highway facility. The day-to-day evolution of the time-dependent user departure patterns and associated system performance are investigated in a series of simulation experiments....

Numerical experiments are performed to test the applicability of the diagonalization algorithm to problems involving asymmetric interactions between passenger cars and trucks in highway networks. Three test networks are considered, including a representation of the Texas highway network, thus...

Dynamic origin-destination (OD) estimation and prediction is an essential support function for real-time dynamic traffic assignment model systems for ITS applications. This paper presents a structural state space model to systematically incorporate regular demand pattern information, structural...

This paper examines two heuristic rules proposed for describing urban commuters' predictions of travel time as well as the adjustments of departure time in response to unacceptable arrivals in their daily commute under limited information. It is based on the notion that the magnitude of the...

Freight transportation demand is a highly variable process over space and time. A multinomial probit (MNP) model with spatially and temporally correlated error structure is proposed for freight demand analysis for tactical/operational planning applications. The resulting model has a large number...

This paper presents a procedure, named GAMNP, incorporating genetic algorithms (GAs) and nonlinear programming (NLP) techniques to find the "global" maximum likelihood estimate (MLE) in multinomial probit (MNP) model estimation. The GAMNP estimation procedure uses GAs to search for "good"...