In the present research, a nonlinear Kalman filtering approach, ie, extended Kalman filter
(EKF) was proposed to solve dynamic OD flows and travel times on a freeway segment. The …

This paper applies three state estimation algorithms to an hourly traffic volume system. The
observation values of traffic volume by detectors are contaminated by errors depending on …

For a particular section of a road network, at any point in time, there could be multiple
sources of quantitative and qualitative traffic information available. Quantitative sensors are …

A model was formulated for estimating dynamic origin-destination (OD) travel time and flow
on a long freeway with a neural Kalman filter originally developed by the authors. The model …

This research proposes a short-term highway traffic state prediction method based on a
structural state space model, with the intention to provide a robust approach for obtaining …

Real-time traffic flow estimation is important for online traffic control and management. The
traffic state estimator optimally matches traffic measurements from detectors with traffic flow …

Traffic State Estimation (TSE) refers to the estimation of the state (ie, density, speed, or other
parameters) of vehicular traffic on roads based on partial observation data (eg, road-side …

Short-term traffic condition forecasting has long been argued as essential for developing
proactive traffic control systems that could alleviate the growing congestion in the United …