SISCOT Project

The aim of the project is twofold. First, to tackle a complex problem like traffic by means of a multi-disciplinary approach. Second,to break with the current dependence induced by the use of black box traffic simulation systems.

Hence, a microscopic simulator will be developed, whose model is based on Celullar Automata and on Nagel-Schreckenberg automata rules, also allowing a model on individual vehicle level. A novel feature here is the modelling of the driver based on artificial intelligence (AI) techniques that permit to consider drivers like intelligent agents, in contrast to the current models that are pure reactive and ignore the mental state (informational and motivational) from the drivers.

The simulator is programmed on an object-oriented paradigm with several classes such as drivers, vehicles, traffic lights, lanes, and so on. Also a database and a visualization module are planned. The expected results are the implementation of a basic framework in which the several groups (physics, traffic engineers and computer science and art. intelligence) can run and test their own scenarios.