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 …

Connected and automated vehicles (CAVs), in the context of cooperative intelligent
transportation systems (C-ITS), are capable of exchanging information with each other and …

This paper develops a distributed cooperative control logic to determine conflict-free
trajectories for connected and automated vehicles (CAVs) in signal-free intersections. The …

This paper presents two algorithms to estimate traffic state in urban street networks with a
mixed traffic stream of connected and unconnected vehicles and incorporates them in a real …

Enabling technologies of connected and automated vehicles (CAVs) bring new
opportunities to signalized intersection control. CAVs not only provide a new source of data …

A joint control approach that simultaneously optimizes traffic signals and trajectories of
cooperative (automated) vehicle platooning at urban intersections is presented in this paper …

Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …

This paper extends a real-time, Connected Vehicle-based traffic signal control algorithm at
isolated intersections to balance between two competing intersection objectives: efficiency …

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 …

Abstract The proliferation of Connected Vehicles and their ability to collect a large amount of
data presents an opportunity for the real-time safety optimization of traffic networks. At …