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has been cited by the following article:

• TITLE: A Framework for Intelligent Decision Support System for Traffic Congestion Management System

  AUTHORS: Mohamad K. Hasan

  KEYWORDS: Traffic Congestion Management System; Transportation System Management; Intelligent Decision Support System; Urban Transportation Systems Analysis; Multiclass Simultaneous Transportation Equilibrium Models; Intelligent Scenario Creation Assistance Agent

  JOURNAL NAME: Engineering, Vol.2 No.4, May 4, 2010

  ABSTRACT: 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 paper we propose a comprehensive framework for an Intelligent Decision Support System (IDSS) for Traffic Congestion Management System that utilizes a state of the art transportation network equilibrium modeling 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.