Origin-destination (OD) pattern estimation is a vital step for traffic simulation applications and
active urban traffic management. Many methods have been proposed to estimate OD …

Simultaneous perturbation stochastic approximation (SPSA) is an efficient and well
established optimization method that approximates gradients from successive objective …

Abstract Estimation/updating of Origin–Destination (OD) flows and other traffic state
parameters is a classical, widely adopted procedure in transport engineering, both in off-line …

This study focuses on dynamic origin–destination demand estimation problem on freeway
networks. Existing studies on this problem rely on high-coverage of traffic measurements …

The development and calibration of complex traffic models demands parsimonious
techniques, because such models often involve hundreds of thousands of unknown …

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 …

For alleviating arterial congestion, most control strategies provide progression for through
and turning traffic. A prerequisite input is the arterial origin–destination (OD) flow pattern …

Complex network theory is being widely used to study many real-life systems. One of the
fields that can benefit from complex network theory approach is transportation network. In …

This article proposes a hybrid framework for estimating dynamic origin–destination (OD)
demand that fully exploits the information available in license plate recognition (LPR) data. A …

Dynamic traffic models require dynamic inputs, one of the main ones being the Dynamic
Origin–Destinations (OD) matrices describing the variability over time of the trip patterns …