Artificial Intelligence Applications to Traffic Engineering
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In recent years the applications of advanced information technologies in the field of transportation have affected both road infrastructures and vehicle technologies. The development of advanced transport telematics systems and the implementation of a new generation of technological options in the transport environment have had a significant impact on improved traffic management, efficiency and safety. This volume contains contributions from scientific and academic centres which have been active in this field of research and provides an overview of applications of AI technology in the field of traffic control and management. The topics covered are: -- current status of AI in transport -- AI applications in traffic engineering -- in-vehicle AI
Table of Contents
Preface ARTIFICIAL INTELLIGENCE IN TRANSPORT: MOTIVATIONS, CURRENT STATE AND PERSPECTIVES The development of traffic and transport applications of artificial intelligence: an overview H.R. Kirby and B.G. Parker Using artificial intelligence in traffic engineering -- perspectives and potential applications B. Wild Developing expert systems in transport J. Wentworth Advanced management of urban public transport J.M. Le Dizes ARTIFICIAL INTELLIGENCE IN TRAFFIC ENGINEERING: TRAFFIC SURVEILLANCE AND CONTROL Urban traffic control: current methodologies G. Bruno and G. Improta Artificial intelligence approach to road traffic control G. Ambrosino, M. Bielli and M. Boero SAPPORO -- a framework for intelligent integrated traffic management systems B. Wild CLAIRE: a context-free Al based supervisor for traffic control G. Scemama Knowledge based systems for motorway traffic control J. Cuena and M. Molina Emerging technology applications in intelligent vehicle-highway systems S.G. Ritchie Intelligent intersection: artificial intelligence and computer vision techniques for automatic incident detection S. Sellam and A. Boulmakoul Qualitative simulation of traffic flows for urban traffic control G. Martin, F. Toledo and S. Moreno Using neural networks to recognise, predict and model traffic M.S. Dougherty, H.R. Kirby and R.D. Boyle The assessment by micro-simulation of a rule-based real-time system for supervising urban traffic control M.S. Dougherty, L.J. Ibbetson, H.R. Kirby and F.O. Montgomery IN-CAR ARTIFICIAL INTELLIGENCE: ROUTE PLANNING AND NAVIGATION The intelligent co-driver: route planning and navigation G. Adorni and A. Poggi Driver support system for traffic manoeuvres J. Malec and P. Ã–sterling