Application of Fuzzy Logic in Urban Planning For TIA

Integration and adaptation of artificial intelligent designs with fuzzy inference techniques is an active area of research that can be used to meet the challenges of many urban planning applications. Traffic impact assessment of commercial centers in urban areas are complex and require consideration of multiple factors in planning and design in order to achieve a design plan that is environmentally robust and sustainable. Improper location of these centers often results in a prolonged impact on the economic, social and environmental well being and sustainability of the region. This paper, presents the development of an urban fuzzy inference system (FIS) which is a decision support system to evaluate the location of commercial spaces in an established built environment through the impact measurement of the neighborhood transportation supply system and its collateral characteristics. The impact assessment logic is embedded in the form of an expertly guided rule-base of an FIS. The impact is calculated using the three core characteristics of transport supply system (Node based, Link based and network based), with respect to a measure of travel and traffic characteristics affecting the location and the surrounding built environment neighborhood. GIS has been used as a supportive tool for the data analysis and integration in fuzzy logic system. Keywords- Artificial intelligence designs, Fuzzy interfac