Intelligent traffic management system

Abstract

Large numbers of moving objects and continuous queries characterize moving object environments. Efficient evaluation of these queries in response to the movement of the objects is important for supporting acceptable response times. In such environments, the traditional approaches suffer from the need for frequent updates and thereby results in poor performance. In this paper we present a novel approach for approximate query processing about the present, past, and the future in moving objects databases for objects that constrained to move on transportation networks. Our traffic management system (TMS) is a simple structure with minimum update and processing requirements; it uses the constraints on movement to reduce the update frequency and adapts the simulation skim - of cellular automation model - to simulate trajectories of vehicles on the network and served to the clients as mobile code to be run in their handheld devices. We proved the effectiveness and applicability of our technique using a realistic simulation.