This paper proposes a generalized model to estimate the peak hour origin–destination (OD)
traffic demand variation from day-to-day hourly traffic counts throughout the whole year …

Vehicular traffic between different Origin-Destination (OD) pairs for a typical hourly period
may statistically correlate with each other. The covariance mainly generated from the daily …

A dynamic origin–destination demand estimation model for planning applications with real-
time link counts from multiple days is presented. Based on an iterative bilevel estimation …

Recent transportation network studies on uncertainty and reliability call for modeling the
probabilistic OD demand and probabilistic network flow. Making the best use of day-to-day …

This paper presents a bi-level optimization problem to estimate offline time-dependent origin–
destination (time-dependent OD) demand on the basis of link flows and historical OD …

Dynamic origin-destination (OD) demand is central to transportation system modeling and
analysis. The dynamic OD demand estimation problem (DODE) has been studied for …

This paper proposes a modified bi-level optimization algorithm to estimate the time-
dependent origin–destination trip matrices for large-scale networks with multiple vehicle …

The existing models for predicting the temporal distribution of peak traffic demand are
reviewed in this paper. Based on their assumptions and concepts, the models are classified …

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 …

This paper proposes a new model to estimate the mean and covariance of stochastic multi-
class (multiple vehicle classes) origin-destination (OD) demands from hourly classified traffic …