The paper presents a real-time vision system to compute traffic parameters by analyzing
monocular image sequences coming from pole-mounted video cameras at urban …

Optimization of signal control at isolated intersections has been an important research focus
in traffic engineering over the past few years. Due to its flexibility and practicality, fully …

In the Intelligent Transportation System (ITS) realm, queue length estimation is one of an
essential yet a challenging task. Queue lengths are important for determining traffic density …

This paper proposes a novel method for accurately counting the number of vehicles that are
involved in multiple-vehicle occlusions, based on the resolvability of each occluded vehicle …

Traffic-actuated control (TAC) is widely used for signal control in isolated intersections. In
TAC, green durations are dynamically determined based on online traffic data. These …

The concept of traffic shock waves was first theorized by Lighthill and Whitham in 1955. The
identification of shock wave type and speed in a traffic stream provides critical information …

This paper presents the results of a new deep learning model for traffic signal control. In this
model, a novel state space approach is proposed to capture the main attributes of the control …

The article demonstrates the usefulness of heterogeneous System on Chip (SoC) devices in
smart cameras used in intelligent transportation systems (ITS). In a compact, energy efficient …

Traffic shockwaves demonstrate the formation and spreading of traffic fluctuation on roads.
Existing methods mainly detect the shockwaves and their propagation by estimating traffic …

Real-time queue length information is an important input for many traffic applications. This
paper presents a novel method for real-time queue length detection with roadside LiDAR …