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Comparing Conventional Methods With Fuzzy Logic for Quantifying Road Congestion: Evidence From Central Kolkata, India
Abstract
Congestion, in India, is generally defined using volume-capacity (V/C) ratio. The passenger car unit (PCU) measures the volume, and capacity here is subjective. In such circumstances, volume and capacity cannot be directly measured. Hence, the determination of the actual capacity of any road remains debatable. As a result, the measure of the degree of congestion becomes subjective. This paper discusses conventional techniques for quantifying congestion and describes congestion using fuzzy tools and techniques. This paper uses two input variables that give direct and precise measures such as speed and inter vehicular distance (IVD) in the fuzzy model and volume and capacity as two input parameters for conventional methods. The congestions were calculated using conventional and fuzzy techniques on the roads of Central Kolkata and compared those quantified congestions on each road to find out the more reliable techniques among themselves.
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