The motive of this paper is to design and implement “Intelligent Traffic with Emergency Control and Stolen Vehicle Tracking System” using Artificial Intelligence. Thus this system is capable to sense the density of vehicles for intelligent traffic management and also able to recognize emergency vehicles as ambulance to allow that signal for emergency control, as well as this system also recogni...

This paper presents the application of fuzzy-neuroevolutionary hybrid system with online reinforcement learning for intelligent road traffic management and control. Taking a step away from the conventional traffic control system, the hybrid system presents different methodologies in knowledge acquisition, decisionmaking, learning and goal formulation with the use of a three-layered hierarchical...

Intelligent Transportation Systems (ITS) have received a great deal of attention in overcoming traffic-associated problems by implementing online traffic management, which inevitably depends on the accurate dynamic traffic demand. Dynamic Traffic Demand is a fundamental input for simulation-based Dynamic Traffic Assignment (DTA) models to describe and predict traffic conditions on the network o...

This article presents the theoretical basis for modeling univariate traffic condition data streams as seasonal autoregressive integrated moving average processes. This foundation rests on the Wold decomposition theorem and on the assertion that a one-week lagged first seasonal difference applied to discrete interval traffic condition data will yield a weakly stationary transformation. Moreover,...

Advanced Traffic Management Systems constitute one of the major envisaged applications of Intelligent Transport Systems. Various architectures and approaches have been proposed and tested in projects of R&D programmes of the European Commission in recent years, as for example ARTIS, KITS and ENTERPRICE, just to mention a few. An approach shared by all of them has been the conception of the syst...

nowadays, the use of intelligent control systems to reduce human error is one of the most popularresearch fields. design and implementation of such controllers requires to actual knowledge of theenvironment conditions. traffic lights as one of the inputs of intelligent control systems are significant.usually the traffic lights have the various physical structure. also, generally in image proces...