The SOCIAT Project: Simulation of Social Agents in Traffic
To predict traffic behavior and provide a proper administration of traffic flow is a huge challenge. This includes maximization of roads utilization and prevention of traffic jams and related problems. We aim at building a simulator that considers drivers behavior and returns a forecast of the traffic situation in a reasonable time, using techniques of Artificial Intelligence (AI), especially Multi-Agent System (MAS), combined with game-theory in order to produce a realistic traffic model that reproduces drivers' behavior nearly to cognitive level.
In every modern society the need for mobility is increasing daily and the capacities of the road network are satisfied or even exceeded. Thus the prediction and modelling of traffic flow is one of the future challenges to science. This project aims at building a tool for simulate, predict the state of the traffic and broadcast traffic messages to road users. However, we have to deal with the impact of traffic messages on drivers. Current systems are lacking an understanding of this reaction to messages. We use some well-known tools like the cellular automaton (CA) based microscopic traffic simulator (i.e. the simulation is at the level of driver-vehicle). The development of intelligent transportation systems (ITS) like dynamic route guidance systems affects the behaviour of drivers in a yet unknown way. Thus it is inevitable to model the cognitive and social aspects of the driver-vehicle entity more realistically. Artificial intelligence (AI) and, in particular, multi-agent systems (MAS) techniques open the possibility to model drivers in a more realistic way, at a level closer to the cognitive one. For instance, the behaviour of a driver can be described and explained via mental states like its beliefs and intentions (use of BDI logic), and forecasted via game-theoretic techniques. Thus, the objective of this interdisciplinary project is to use artificial intelligence and multi-agent tools in a microscopic simulation environment in order to treat drivers as intelligent agents.
- Finatial Support:
- Correlated Projects and Other Interesting Links:
- Traffic stuff: Traffic Control, IEEE/IEEJ/JSAI Conference on Intelligent Transportation Systems, Chopard´s page, ZPR, Gutowitz in Santa Fé,Online Traffic Simulation of Duisburg, Physics for bored commuters
- Multi-Agent Systems (MAS) resources
- Driving Psychology
- Agent Link
- SIA (Socially Intelligent Agents) Web Page, AI subject index, or the KI´99
- JASSS (The Journal of Artificial Societies and Social Simulation)
- Cellular Automata
- Drama Theory
Contact: Ana Bazzan