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 …

We study the problem of unsupervised domain adaptive re-identification (re-ID) which is an
active topic in computer vision but lacks a theoretical foundation. We first extend existing …

Recent research has investigated various means of measuring link travel times on freeways.
This search has been motivated in part by the fact that travel time is considered to be more …

An approach is presented for estimating future travel times on a freeway using flow and
occupancy data from single-loop detectors and historical travel-time information. Linear …

If industry visionaries are correct, our lives will soon be full of sensors, connected together in
loose conglomerations via wireless networks, each monitoring and collecting data about the …

In a connected vehicle environment, vehicle location, speed, and other traffic information are
readily available; hence, such environments provide new data sources for traffic signal …

In recent years there has been a growing desire for the use of probe vehicle technology for
congestion detection and general infrastructure performance assessment. Unlike costly …

The paper presents an algorithm for matching individual vehicles measured at a freeway
detector with the vehicles' corresponding measurements taken earlier at another detector …

The paper describes a low-pass adaptive filtering algorithm for predicting average roadway
travel times using automatic vehicle identification (AVI) data. The algorithm is unique in three …

Unsupervised domain adaptation for person re-identification (Re-ID) suffers severe domain
discrepancies between source and target domains. To reduce the domain shift caused by …