Using Labeled Hyper Multi Digraph for Tabriz Passenger Traffic Modeling: Data-oriented Approach

Intelligent transportation system (ITS) refers to efforts to add communications technology to transport infrastructure in a way to manage factors that usually are at odds with each other such as vehicle wear, safety, fuel consumption, transportation times and air pollution. Traffic modeling of passengers in large cities is one of ITS branches. In such cities like Tabriz, passenger traffic congestion is one of the most important problems. Congestion reduces efficiency of public transportation and increases travel time, air pollution, and fuel consumption. Major part of traffic congestion in large cities is caused by public transportation such as taxies and buses. Therefore by modeling passenger distributions appropriately, optimum distribution of taxies and buses will be achieved to decrease traffic congestion and increase efficiency of public transportation. In this paper labeled hyper multi digraph method as data-oriented models is used to model passenger distributions in Tabriz.