A model driven approach to web-based traffic simulation.

Abstract

As the world population increases the number of vehicles in the traffic increases as well, and so the traffic becomes more complex. Problems in the urban traffic such as traffic congestion, car accidents, parking difficulties, etc. have a large impact on people's lives as well as the environment. Therefore, researchers, policy makers, decision takers and planners use expert tools to find the best solutions for traffic and transportation problems. Traffic modeling and simulation has been used for analyzing, designing, planning and managing urban traffic for many years. Various techniques have been proposed and many tools have been developed by researchers to assist the modeling and simulation activities in the traffic domain for more than half a century. However, improving the existing methods and developing new tools for traffic simulation are gaining importance due to the emerging technologies. Web-based modeling and simulation has been popular in the last decade, and has a great promise in terms of collaborative and distributed simulations. Model driven approaches are employed in the simulation field for a long time and have provided rapid development solutions. In this paper, a model driven Web-based traffic simulation framework is proposed and a prototype implementation is presented.