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Traffic congestion problem is one of the major problems that face many transportation decision makers for urban areas. The problem has many impacts on social, economical and development aspects of urban areas. Hence the solution to this problem is not straight forward. It requires a lot of effort, expertise, time and cost that sometime are not available. Most of the existing transportation planning software, specially the most advanced ones, requires personnel with lots practical transportation planning experience and with high level of education and training. In this book we propose a comprehensive framework for an Intelligent Decision Support System (IDSS) for Traffic Congestion Management System and Fright Transportation Management System that utilizes a state of the art transportation network equilibrium modelling and providing an easy to use GIS-based interaction environment. The developed IDSS reduces the dependability on the expertise and level of education of the transportation planners, transportation engineers, or any transportation decision makers.

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Mohamad K. Hasan is a Full Professor of Operations and Supply Chain Management at Kuwait University. He received a BS degree in Mathematical Statistics from Alexandria University, Egypt, in 1978. He received MS degree in Mathematics in 1988 and PhD degree in Transportation Systems Analysis and Planning in 1991 both from Texas A&M University,USA.

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