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INTELLIGENT TRAFFIC CONTROLLERBy DESAI MA YURKUMAR JA YESHBHAI MASTER OF SCIENCE IN ELECTRICAL ENGINEERINGAutomotive technologies are gaining ground in modem road traffic-control systems, since the number of road vehicles and passengers is rapidly growing. There is a perpetual need for safety-critical traffic automation, and traffic engineering makes the dynamic or static analysis and the synthesis of automotive vehicle technologies possible. The main goal of engineering is the planning and management of traffic systems. The project supports the development of reliable and optimal control structures for urban traffic and for motorway systems.The intelligent and cooperative set-up of actuation and its linkage to the central control system is vital for avoiding traffic jams and accidents. Moreover, environmental costs (eg pollution) can be decreased. One aspect of the project aims at developing a traffic control algorithm for future technology. The design of the traffic control system can be evaluated in two steps -synthesis and analysis. Several models and multiple control strategies exist, and engineers must decide between them using a priori knowledge of the real system.Previously collected information can help to choose the appropriate model, parameters, measurement and control methodologies to create the optimal solution. In many cases, control-related variables are almost inaccessible for design unless estimation techniques are applied. In a situation like this, the approximation, computer-based estimation of the variables could be useful. Traffic simulations can be classified in several ways, including the division between microscopic and macroscopic, and between continuous and discrete time approaches. Several state variables, derived from the description of the dynamic system, can be used for operational and planning aspects. A newly emerged area is demand estimation through microscopic traffic modeling. The dynamic aspect of traffic simulation requires previously measured or estimated volumes of traffic.Since the measurement of certain variables in the dynamic description is rather costly, one tries to estimate them. For instance, the observation of constantly varying turning rates at a simple intersection is fairly costly. However, the number of turning vehicles could be applied to traffic light harmonization, or generally speaking to traffic light control. This automated traffic signal controller can be made by suitably programming GAL device. The controller assumes equal traffic density on all the roads. In most automated traffic signals the free left-tum condition is provided throughout the entire signal period, which poses difficulties to the pedestrians in crossing the road, especially vii viii

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