Sartipi, Mina; Wu, Weidong; Osman, Osama A.
College of Engineering and Computer Science
University of Tennessee at Chattanooga
Place of Publication
Traffic congestion is a growing issue in many counties and cities in the United States and around the world. According to recent statistics , congestion costs the United States $74.1 billion every year, with $66.1 billion of this cost occurring in urban areas. This has led to a myriad of problems including environmental pollution, increased fuel consumption, increased crash probability, depression, and wasted work hours. Thanks to new technologies that have enabled data collection and processing, machine learning, and computer vision, new solutions can be proposed to tackle this multi-faceted challenge of congestion and rapidly improve the quality of life of urban dwellers. This thesis focuses on utilizing game theoretic concepts to develop algorithms that reduce overall fuel consumption and dangerous emissions at traffic intersections and corridors. The solutions proposed will assist city managers in improving the traffic control system and drastically reduce the Carbon footprints of our road networks.
I want to thank the Center for Urban Informatics and Progress (CUIP), and the University of Tennessee at Chattanooga (UTC) for funding this research and providing various data and resources for traffic simulations.
M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.
Game theory; Electronic traffic controls
xiii, 67 leaves.
Babatunde, Jibril, "Application of game theory for adaptive energy conscious traffic control at isolated intersections and arterial corridors" (2022). Masters Theses and Doctoral Dissertations.
Available for download on Friday, June 30, 2023