Intelligent Urban Traffic Modeling Using Neuro-fuzzy Petrinets

This book focuses on Intelligent Traffic Modeling using the concept of Neuro Petrinets and Fuzzy Systems. It gives an overview of the current Traffic Problems and later on highlights the solution using various Intelligent Modeling Techniques. A framework for modeling the urban traffic control system has been developed using model driven engineering and activity theory. Activity theory is utilized to model the conceptual, behavioral and philosophical aspects of the system. The concept of abstract platform provides effective methods of exchange of signals between various traffic agents. Humans are capable to use linguistic information precisely in their decision making. Due to imprecise and uncertain nature of the linguistic information, machines are not capable to use them in decision making processes using traditional methods. To make the machines intelligent and to deal with uncertainties, like humans in this regard, Fuzzy Techniques are used. Various extensions of the Petri net approaches are introduced, like Colored Time Petri Net (CTPN), Variable Speed Petri Net (VSPN) and Timed Control Petri Net (TCPN).