Artificial intelligence techniques for urban traffic control

This paper deals with the applications of artificial intelligence techniques to urban traffic control problems, with the aim of improving the performances of current signal plan selection systems. In particular, an architecture of an intelligent traffic control system is outlined with regards to the different levels of data collection, data analysis and interpretation, decision, and control. The functionalities of hybrid modules introduced are discussed and the artificial intelligence methods used are mentioned. Finally the ongoing research in the field is presented.