Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …

Abstract Automatic Number Plate Recognition (ANPR) technology has been intensively
engaged in managing the smartification and digitalization of cities in recent years as an …

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 …

Tracking the source of congestion, namely where the congested traffic flow comes from and
goes to, is a key prerequisite to understanding the causes of traffic congestion and facilitates …

The development of technologies related to connected and automated vehicles (CAVs)
allows for a new approach to collect vehicle trajectory. However, trajectory data collected in …

Dynamic vehicular origin–destination (OD) flow is a fundamental component of traffic
network modeling and its estimation has long been studied. Although ideal observing …

Trajectory data collected from probe vehicles become increasingly important for urban traffic
operation and management. However, current data tend to be sparse in time and space due …

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 …

Bluetooth sensors have recently been developed throughout the world for traffic information
gathering. Primarily designed for travel time analysis, this article presents a method for …

With an ever-increasing deployment density of probe and fixed sensors, massive vehicular
trajectory data is available and show a promising foundation to improve the observability of …