Purpose-This paper aims to review the studies on intersection control with connected and
automated vehicles (CAVs). Design/methodology/approach-The most seminal and recent …

In recent years, autonomous vehicles (AVs), which observe the driving environment and
lead a few or all of the driving tasks, have garnered tremendous success. The field of AVs …

Network-level adaptive signal control is an effective way to reduce delay and increase
network throughput. However, in the face of asymmetric exogenous demand, the increase of …

Max-pressure signal control has been analytically proven to maximize the network
throughput and stabilize queue lengths whenever possible. Since there are many transit …

Previous studies have shown that the max pressure control is a throughput-optimal policy
that can stabilize the store-and-forward traffic network when the demand is within the …

We in this paper investigate navigation strategies of two cross-moving connected and
autonomous vehicles (CAVs) at an unsignalised intersection. As highly intelligent and …

Max-pressure traffic signal control has many desirable properties. It is analytically proven to
maximize network throughput if demand could be served by any signal control. Despite its …

Autonomous intersection management (AIM) has been widely investigated over the past two
decades as a solution for signal-free intersections in a fully connected and autonomous …

Intrusion behavior in hazardous areas is one of the major causes of construction safety
accidents including falls from height, strikes by objects, etc. Implementing automatic and …

Max-pressure control is a new approach to signal timing with mathematically proven network
throughput properties. Over the past decade, max-pressure control has emerged from a …