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Abstract
In India, Congestion is defined using V/C ratio. However, Passenger Car Unit (PCU) used to estimate the volume as well as capacity is subjective in nature and these are not directly measurable units. Therefore, the actual capacity of the road is not determined and thus the value of congestion becomes subjective in nature. Hence, in this project the directly and precisely measurable quantities such as Speed and Inter Vehicular Distance (IVD) are the two parameters considered for input in the Fuzzy model. The main objective of the project is to quantify congestion using Fuzzy logic and to help the policy makers and traffic managers to alleviate congestion and to help them in traffic management using Network analysis for urban and rural roads.

The study area considered for quantifying congestion is the old Mahabalipuram road (Tidel Park road). Using the 'video graphic survey method' the values for Speed and IVD are collected and substituted in the model. Totally nineteen rules are formed for the model. The results obtained from the model is calibrated and validated with the conventional method of determining congestion.

The network analysis using GIS was carried out in Egmore zone. Totally twenty-three themes are generated for the study area. The four basic network analyses such as the most direct path between two points, the optimum route between many points, the closest facility to any given point and the service areas for any facility or trade are performed in this study area. The results obtained out of these analyses can be displayed to the user either through the computer console or by the hardware board developed for this purpose. From the above study it is inferred that the conventional way of determining congestion using volume and capacity is not matching with the actual traffic conditions. Therefore, the really measurable parameters such as Speed and IVD are some of the inputs which best quantify the congestion in par with reality. Using these directly measurable quantities, the subjectivity of the conventional method of determining congestion using V/C ratio is removed. This project combines the advantages of both Fuzzy logic and GIS to offer public, policy makers and traffic managers a new means to assess and to alleviate congestion as short and medium term measures.