This paper proposes a streaming-data-driven method for freeway traffic state estimation
based on probe vehicle trajectory data, which are represented by a series of timestamps …

This paper addresses model-based approach considering online model parameters
estimation to estimate the real-time freeway traffic state for inhomogeneous traffic flow. Its …

Accurately monitoring road traffic state is crucial for various applications, including travel
time prediction, traffic control, and traffic safety. However, the lack of sensors often results in …

Traffic state estimation is a crucial element in traffic management systems and in providing
traffic information to road users. In this article, we evaluate traffic sensing data‐based …

Traffic information from probe vehicles has great potential for improving the estimation
accuracy of traffic situations, especially where no traffic detector is installed. A method for …

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 …

Traffic state estimation plays a significant role in intelligent transportation systems. For a
specific road, traffic state varies at different times of a day. Therefore, to estimate real-time …

This paper presents a mesoscopic traffic flow model that explicitly describes the spatio-
temporal evolution of the probability distributions of vehicle trajectories. The dynamics are …

This study aims to evaluate the performance of an extended floating car data (xFCD)-based
traffic state estimation method proposed by Seo et al.(2015), which does not rely on any …

In real-time traffic management and intelligent transportation systems (ITS) applications, an
accurate picture of the prevailing traffic state in terms of speeds and densities is critical, for …