Spatial Modeling to Predict the Traffic Flow in Organizing Transportation in Tehran

The uncontrolled urban development affected by population growth, migration, unplanned construction and unstoppable spread of urban spatial structure, has caused a lot of changes.The problems caused by transportation system and urban traffic are among the biggest problems for urban managers and citizens. The system itself is not the issue. The problem arises when the negative consequences are followed by dissatisfaction of citizens and environmental problems. Urban planners need new geographical information to develop plans for creating favorable environment for the residents, but collection of this information is difficult, time consuming, expensive, and often incomplete.However, the approach of this research is to define a spatial model and whether it can predict the traffic flow in urban transportation or not.So this research has been done in order to suggest models of transportation space and predict traffic flow for district 6 of Tehran, using integrated remote sensing techniques and geographical information system (GIS_RS) for spatial analysis.The results of the study have shown that among effective variables (C3) variable which refers to the population of the region, with 14.23 percent coefficient, business utility with -11.9 percent and total employees of the region with -3.10 percent have been important factors in shaping the traffic flow. Also the variable referring to business units (C11) with -0.8930 percent has been the least significant.Therefore the results of this study could help organizing urban traffic if they are accompanied by careful planning and decision making.