Development of a Framework using Intelligent NeuroPetrinets for Urban road Traffic Modeling with special emphasis on congestion

Abstract

the work carried out is to model and simulate the real traffic control system in the urban city, Lucknow, the Capital of Uttar Pradesh, India. The proposed work consists of modeling at one traffic intersection and handling traffic congestion with minor sub lane bypass in a road network. The work has been done in two phases, first phase includes the conceptual framework modeling of the proposed system by activity theory and model driven engineering flavored with Petri net modeling in a fuzzy environment as newlineix newlinewell. Subsequently, the neural network is used to make the system intelligent and genetic algorithms are utilized to optimize the weights associated with the system. In the second phase, the conceptually modeled system is simulated through the MATLAB 7.0 and it is proved that the results are found competitive and satisfactory as well. newline