Computer traffic simulation is important for making new traffic-control strategies. Microscopic traffic simulators can model traffic flow in a realistic manner and are ideal for agent-based vehicle… (More)
Computer traffic simulation is important for making new traffic-control strategies. Microscopic traffic simulators can model traffic flow in a realistic manner and are ideal for agent-based vehicle… (More)
In this paper we present a system that can recognize situations during a flight in realtime based on data from simulated aircraft systems. The system uses Bayesian belief networks to calculate the… (More)
Preface As far as I can remember I have always been fascinated about space. When I saw a documentary about the Russian moon many years ago, I realized that robots are great tools for space… (More)
In this paper we describe two situation recognition systems that have been developed for a flight simulator environment. The first system uses heuristic rules based on a state-transition diagram to… (More)
In this paper we describe our approach to a situation recogniser system that currently is being developed for a flight simulator environment. The situation recogniser is part of a context-aware… (More)
Multi-agent based simulation has been looked as an efficient tool for large-scale system, like urban intelligent transport system. However, the main problem is how to build a multi-agent based model… (More)
In this paper we will address our efforts to design a neural control system that can control a simulated aircraft, which ultimately should lead to a realistic artificial pilot. The system we designed… (More)
Computer traffic simulation is important for making new traffic-control strategies. Microscopic<lb>traffic simulators can model traffic flow in a realistic manner and are ideal for… (More)