… macroscopic traffic state estimation In this section, we discuss the topic of macroscopic traffic
state estimation … First, Edie’s generalized definitions of the macroscopic traffic flow variables …

… In this article, we first describe the (macroscopic) traffic conditions within a discrete space-time
mesh. Next, we discuss traffic sensing data-based traffic state estimation and our focus …

… It shows an essential connection between the macroscopic traffic flow model and microscopic
vehicle behavior (eg, car-following model); this can be considered as a preferable feature …

… macroscopic traffic flow model along with the measurement model is organized in a compact
state-space form, based on which a traffic state estimator … the traffic state estimator, special …

… have been proposed for macroscopic traffic state estimation and link-level travel time …
and measurement equations for the freeway traffic state estimation problem, this study aims to …

… To tackle this issue, this paper introduces an innovative traffic state estimation … traffic physics
model (eg, second-order macroscopic traffic flow model) using limited information from traffic …

… ) of the macroscopic traffic flow model employed by the traffic state … macroscopic traffic flow
model and a simple traffic measurement model, based on which the traffic state estimator is …

… is, traffic state estimation. One of the challenges in traffic state estimation relates to the
heterogeneity of traffic … The new approach we present uses a discretized macroscopic traffic flow …

… of real-time traffic state estimation. The adopted general approach to the design of universal
traffic state estimators for freeway stretches is based on stochastic macroscopic traffic flow …

… accuracy, this paper presents an ensemble learning framework to appropriately combine
estimation results from multiple macroscopic traffic flow models. This framework first assumes …