Traffic light optimization is known to be a cost-effective method for reducing congestion and
energy consumption in urban areas without changing physical road infrastructure. However …

This study develops a combinatorial approach for nonparametric short-term queue length
estimation in terms of cycle-by-cycle partially observed queues from probe vehicles (PV) …

Queue length is one of the important indexes to evaluate the operation efficiency of
signalized intersection and also the key parameter of intersection signal control optimization …

Queue length is a crucial measurement of traffic signal control at urban intersections.
Conventional queue length estimation methods mostly still rely on fixed detectors. The …

Financial time series have typical characteristics such as outliers, trends, and mean
reversion. The existence of outliers will affect the effectiveness of the unknown parameter …

This paper combines millimeter-wave radar (MMW) data with connected autonomous
vehicle (CAV) trajectory data to estimate queue length on a second-by-second basis. Firstly …

This paper proposes a method for estimating the speed and position of unsampled vehicles
using sampled data from connected automated vehicles (CAVs). The determination of …

This paper studies the traffic state estimation problem at signalized intersections with low
penetration rate vehicle trajectory data. While many existing studies have proposed different …

In this paper, we consider the problem of the queue length estimation if only some small
number of a so-called tagged customers is observable. The problem is treated in terms of …

Traffic state estimation plays an important role in facilitating effective traffic management.
This study develops a combinatorial approach for nonparametric short-term queue length …