Conventional intersection managements, such as signalized intersections, may not
necessarily be the optimal strategies when it comes to connected and automated vehicles …

This paper reviews current AI solutions towards road traffic congestion alleviation. Three
specific AI technologies are discussed,(1) intersection management protocols for …

People have been working long to tackle the traffic congestion problem. Among the different
measures, traffic tolling has been recognized as an effective way to mitigate citywide …

Over the past decades, Electronic Toll Collection (ETC) systems have been proved the
capability of alleviating traffic congestion in urban areas. Dynamic Electronic Toll Collection …

In the micro-tolling paradigm, a centralized system manager sets different toll values for
each link in a given traffic network with the objective of optimizing the system's performance …

Road pricing is an urban traffic management mechanism to reduce traffic congestion.
Currently, most of the road pricing systems based on predefined charging tolls fail to …

Multiagent systems (MAS) offer a powerful paradigm for modelling distributed settings that
require robust, scalable, and often decentralised control solutions. Despite its numerous …

Many US metropolitan cities are notorious for their severe shortage of parking spots. To this
end, we present a proactive prediction-driven optimization framework to dynamically adjust …

Toll plazas are one kind of highway node that pose a challenge to the flow of autonomous
vehicles (AVs). Some toll roads have open road tolling (ORT), which makes it easier and …

The problem of traffic congestion incurs numerous social and economical repercussions and
has thus become a central issue in every major city in the world. For this work we look at the …