Graph problems such as traveling salesman problem, or finding minimal Steiner trees are
widely studied and used in data engineering and computer science. Typically, in real-world …

Current predictions on future drone operations estimate that traffic density orders of
magnitude will be higher than any observed in manned aviation. Such densities redirect the …

The deployment of Autonomous Vehicles (AVs) poses considerable challenges and unique
opportunities for the design and management of future urban road infrastructure. In light of …

With the increasing connectedness of vehicles, real-time spatio-temporal data can be
collected from citywide road networks. Innovative data management solutions can process …

Dynamic road network optimization has been used for improving traffic flow in an infrequent
and localized manner. The development of intelligent systems and technology provides an …

Due to the importance of road freight, there is a significant cost of delaying freight vehicles
on the road. In this work, we focus on freight vehicle optimization by reducing delays at …

With increasing connectivity and autonomy in traffic eco-systems, Autonomous Intersection
Management (AIM) has attracted strong attention from the research community. AIM helps …

Graph combinatorial optimization (CO) is a widely studied problem with use-cases stemming
from many fields. Typically, in real-world applications, the features of a graph tend to change …

Each year, millions of people either die or get injured due to road incidents. Thus, integrating
safety optimization techniques into future traffic systems is of utmost importance. Emerging …

Intelligent traffic management solutions that leverage machine learning have gained a lot of
interest in recent years. These techniques, however, cannot be deployed in real-world …