Fuzzy Logic Based Transportation Network Analysis - Sarkar, Amrita
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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 book 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 book is to quantify congestion using Fuzzy logic and to help the policy makers…mehr

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Produktbeschreibung
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 book 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 book is to quantify congestion using Fuzzy logic and to help the policy makers and traffic managers in traffic management considering the effects of congestion using Network Analysis for urban and rural roads. The study area considered for quantifying congestion are the roads of Central Kolkata. This book shows the advantages of combing both Fuzzy logic and GIS to offer public, policy makers and traffic managers a new means to assess congestion as short and medium term measures.
Autorenporträt
Amrita Sarkar is an Information Technology engineer with a specialization in Remote Sensing and Geographical Information Systems. She is presently a PhD Research Fellow at the Department of Information Technology, Birla Institute of Technology, Mesra, India. She has got few research publications in her area of specialization.