A Framework for Intelligent Decision Support System for Traffic Congestion Management System

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.

Towards automated road information framework a case study of Tanzania

“…Different types of questionnaires were delivered to the targeted interviewees based on their levels within the organization. These levels included: (1) strategic level (directors and decision makers), (2) technical level (senior technical staff) and (3) operational level (technical staff). 10 questionnaires were distributed in each organization, in all the three cities.…”

“…Hassan [2] stated that 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. However, expanding the transportation systems is not always fruitful, if the demand is not satisfactorily met by the existing capacity.…”

“…(1) To identify issues and challenges of using networked systems in urban traffic flow management (2) To identify strengths and weaknesses of existing ITS (3) To identify components of the automated road information framework and links between them. The paper structure is as follows: introduction; overview and state of traffic congestion control; research methodology; results; discussion, conclusion and further work.…”

Application of Artificial Neuron Network in Analysis of Railway Delays

“…GA initially calculates the fitness value. This algorithm is then reiterated ten times in the experiment to optimize the initial value of the weight and the bias for the network [15]. The fitness function calculates the sum of the errors between the outputs and the targets.…”

Intelligent Transport Systems: How to Manage a Research in a New Field for IS

“…Currently there exist several works on specific ITS systems [3,4,5], on available technologies [6,7], or possible fields of applications [8,9]. Other works try to recall the history of these systems and to create a state of the art of these technologies both in Europe and in the rest of the world [10,11].…”