Traffic signal control is a key ingredient in intelligent transportation systems to increase the
capacity of existing urban transportation infrastructure. However, to achieve optimal system …

The standard reinforcement learning algorithms have proven to be effective tools for letting
an agent learn from its experiences generated by its interaction with an environment. Among …

DVM-Exchange is an interface standard for traffic management systems, especially
focussing on so-called Network Management Systems, that manage traffic in networks …

Urban roads are a crucial infrastructure highly demanded by citizens and organizations
interested in their deployment, performance, and safety. Urban traffic signal control is an …

The QHM framework offers a scalable approach to network-level traffic management, in
short: Network Management (NM), which is the coherent management of traffic in large road …

The common approach to road network traffic control, top-down control by means of
scenarios, ran into the problem of too large a set of scenarios and the problem of conflicts …

We propose an extension of Hybrid I/O Automata (HIOAs) to model agent systems and their
implicit communication through perturbation of the environment, like localization of objects …

We propose an extension of Hybrid I/O Automata (HIOAs) to model agent systems and their
implicit communication through perturbation of the environment, like localization of objects …

An increasing number of cities have severe traffic problems. We identify three main
challenges for managing these problems. The first one is to achieve a proper amount of …

This article deals with output feedback selection in linear time-invariant structured systems.
We assume that the inputs and the outputs are dedicated, ie, each input directly actuates a …