Utilizing TFLOW Fuzzy Logic for Advanced Modeling and Analysis of Urban Traffic Networks: A Case Study from Baghdad
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Abstract
This study investigates the accuracy and reliability of traffic flow estimation results estimated using TransCAD software and compares them with observed traffic flow data, applying the TFF function and technique using PTV Visum software. The aim of this study is to evaluate the quality, utility, and validity of the TFF method to ensure the accuracy of estimated data and compare them with observed data so that decisions regarding transportation network infrastructure development are evidence-based. The TFF approach was applied to simulate an urban road network, namely the Army Canal Road. The methodology involved collecting traffic flow data and other data such as road capacity, number of lanes, speeds, and other data. The estimated data were compared with observed data, which was collected from field surveys using smart surveillance cameras during the morning peak hour. The results showed a strong relationship between the estimated and observed traffic volumes, with a regression equation (y = 0.9978x - 8.5827) and a coefficient of determination (R2) equal to 0.9959. The R2 value indicates that the model calibration is excellent and the small deviation between the estimated and observed values confirms the suitability and effectiveness of the TFF approach in traffic flow modeling and thus can be adopted in the field of transportation planning and future projects and support the decision-making process on road infrastructure development.
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