Saobracajni fakultet

About the Department

Department of Operations Research in transport deals with the application of methods of operations research and artificial intelligence in traffic, transport, logistics and communications. 
The research activities of the Department include the development of models and software in the areas of planning, design, management, operations, and maintenance of traffic and transportation systems. 
Operations research methods used in the field of traffic and transport engineering more than half a century. But slika2mala2.jpgprve of methods of operations research in traffic engineering (Leslie C. Edie, "Traffic Delays at Tool Booths" Journal of the Operations Research Society of America, Vol. 2, no. 2, pp. 107-138, May, 1954.) indicated the great potential of these methods in mathematical modeling of transport phenomena. 
Operations Research has a long tradition of Transportation Engineering. The first courses introduced by Professor Svetlana Vukadinovic, held in the early seventies. Modern transport systems in developed countries are characterized by the existence of traditional and new electronic, communication and information technology built into the transport infrastructure and transport means in order to facilitate the management of traffic flow, reduce traffic congestion, travel time and total transportation costs, as well as to improve the quality of transport services and travel safer. Data acquisition, statistical analysis, developing models and software for solving various strategic, tactical and operational problems of transport are the dominant research approaches of the Department of Operations Research in Traffic. 
Despite the application of traditional techniques in the field of optimization, the application of probability theory and stochastic processes and techniques to manage traffic, transport and logistics processes, research activities of the Department is characterized by the appearance of papers on computational intelligence and intertwining with other disciplines learn.
© Faculty of Transport and Traffic Engineering, Belgrade 2006-2010.