Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …

The self‐adaptive traffic signal control system serves as an effective measure for relieving
urban traffic congestion. The system is capable of adjusting the signal timing parameters in …

Recently connected vehicle (CV) technology has received significant attention thanks to
active pilot deployments supported by the US Department of Transportation (USDOT). At …

Visual surveillance of dynamic objects, particularly vehicles on the road, has been, over the
past decade, an active research topic in computer vision and intelligent transportation …

The operation of traffic signals is currently limited by the data available from traditional point
sensors. Point detectors can provide only limited vehicle information at a fixed location. The …

The Internet of Vehicles aims to fundamentally improve transportation by connecting
vehicles, drivers, passengers, and service providers together. Several new services such as …

Queues at signalized intersections are the main cause of traffic delays and travel time
variability in urban networks. In this article, we propose a method to estimate queue profiles …

This paper presents a mathematical model for real-time queue estimation using connected
vehicle (CV) technology from wireless sensor networks. The objective is to estimate the …

Existing signalized intersection control methods allocate intersection resources to each
phase from the time dimension based on traffic conflict. Solving the traffic control issues …

We study the traffic signal control problem with connected vehicles by assuming a fixed
cycle length so that the proposed model can be extended readily for the coordination of …