Planning in hybrid systems is important for dealing with real-world applications. PDDL+
supports this representation of domains with mixed discrete and continuous dynamics, and …

Currently, one of the main challenges faced in large metropolitan areas is traffic congestion.
To address this problem, adequate traffic control could produce many benefits, including …

Bounded numeric planning, where each numeric variable domain is bounded, is PSPACE-
complete, but such a complexity result does not capture how hard it really is, since the same …

In order to engender trust in AI, humans must understand what an AI system is trying to
achieve, and why. To overcome this problem, the underlying AI process must produce …

Using mobile Light Detection and Ranging point clouds to accomplish road scene labeling
tasks shows promise for a variety of applications. Most existing methods for semantic …

Planning with hybrid domains modelled in PDDL+ has been gaining research interest in the
Automated Planning community in recent years. Hybrid domain models capture a more …

The essential of developing an advanced driving assistance system is to learn human-like
decisions to enhance driving safety. When controlling a vehicle, joining roundabouts …

The planning and location of resources for urban traffic management generate complex
decision problems, given the uncertainty of variables that explain traffic behavior, the lack of …

Planning for hybrid systems is important for dealing with real-world applications, and PDDL+
supports this representation of domains with mixed discrete and continuous dynamics. In …

This paper is an experience report on the results of an industry-led collaborative project
aimed at automating the control of traffic flow within a large city centre. A major focus of the …