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.
Highlights
Over the last few decades the dimensions of the transportation system and the interaction between these dimensions and the socioeconomic system, have increased by many folds
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
This research led to the development of ESTRAUS and related software, which has been extensively applied to Santiago as well as other Chilean cities
Summary
Over the last few decades the dimensions of the transportation system and the interaction between these dimensions and the socioeconomic system, have increased by many folds. Influence the volume of trip generation in various land use in the city [1] This is because the volume of journeys made from origin to destination is functionally related to the ability of respective areas to generate or attract movement. Reasons such as inadequate transport infrastructure, rapid increase in urban population, income and automobile ownership etc., had been noted to contribute to traffic congestion in many of the urban areas [2]. As such it is prudent to optimize the use of existing transportation system by certain management techniques
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