We present a model predictive control (MPC) approach to optimally coordinate variable speed limits and ramp metering for highway traffic. The basic idea is that speed limits can increase the range in which ramp metering is useful. The control objective is to minimize the total time that vehicles spend in the network. For the prediction of the evolution of the traffic flows in the network we use...

Commonsense knowledge is a broad and challenging area of research which investigates our understanding the world as well human assumptions about reality. Deriving directly from subjective perception external world, it intrinsically intertwined with embodied cognition. reasoning linked to sense-making, pattern recognition framing abilities. This work presents new resource that formalizes cogniti...

We present a model predictive control (MPC) approach to optimally coordinate variable speed limits for highway traffic. The basic idea is that dynamic speed limits can create traffic conditions where shock waves can damp out faster. The control objective is to minimize the total time that vehicles spend in the network. For the prediction of the evolution of the traffic flows in the network we u...

In this paper we first present an extension of the macroscopic traffic flow model METANET to multi-class flows. The resulting multi-class model takes into account the differences between, e.g., fast vehicles (cars) and slow vehicles (trucks) including their possibly different free-flow speeds and critical densities. Next, we show how this model can be used in a model-based predictive control ap...

This article describes the collecting, processing and validation of a large balanced corpus for Romanian. The annotation types and structure of the corpus are briefly reviewed. It was constructed at the Research Institute for Artificial Intelligence of the Romanian Academy in the context of an international project (METANET4U). The processing covers tokenization, POS-tagging, lemmatization and ...

Multilevel petrinets are proposed for facilitating exible modeling and control of complicated dynamic processes, especially autonomous, learning and intelligent systems. A metapetrinet is able not only to change the marking of a petrinet but also to recon gue dynamically its structure. Each level of the metanet is an ordinary petrinet of some traditional type. A basic level petrinet simulates t...

Capacity drop (CD) at overloaded bottlenecks is a puzzling traffic flow phenomenon with some internal and complicated mechanisms the microscopic level. not only important for theory modelling, but also significant control. A model evaluating control measures needs to be able reproduce capacity in order deliver reliable evaluation results. This paper delivers comprehensive overview on subject fr...

This paper discusses the application of coalitional model predictive control (MPC) to freeways traffic networks, where goal is reducing time spent by drivers through a dynamic setting variable speed limits (VSL) and ramp metering. The prediction METANET used represent flows evolution. system behavior objective function lead non-convex non-linear optimization problem, which can only be solved in...

This paper deals with the study of variable speed limits (VSLs) for traffic control and their integration user information strategies. As few studies have addressed integrated VSL strategy, we focus on comparing adoption latter alone strategy application no-control case, highlighting benefits brings. The is able to smooth severity congestion, shifting its occurrence in a section mainstream most...