Agents in Traffic Modelling - From Reactive to Social Behaviour
KI '99 Proceedings of the 23rd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Complex goal criteria and its application in design-to-criteria scheduling
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
ITSUMO: an Intelligent Transportation System for Urban Mobility
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A review of the applications of agent technology in traffic and transportation systems
IEEE Transactions on Intelligent Transportation Systems
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
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It is well-known that big cities suffer from traffic congestion and all consequences that come with it. This is an especial problem in cities in developing countries where the public transportation system is not reliable and where the fleet of vehicles tend to be old thus increasing air pollution. There is no turnkey solution for this problem, but several improvements have been suggested in the field of urban and traffic management, provided an information system is built which can provide information to both the traffic experts and the user of the system. Such an information system has to incorporate features of an ITS and an ATIS. An underline assumption is that there is a simulation model to provide certain kinds of information in forecast. This paper discusses the model and implementation of such an information system which is based on a microscopic model of simulation and on cellular automata and is implemented using agent technologies and with a bottom-up philosophy in mind. We give here an overview of the project, the details of the modules (data, simulation, driver and information/visualization), as well as discuss an application of the simulation tool.