The UTC Graduate School is pleased to announce that Jibril Babatunde will present Master’s research titled, A Novel Game-Theoretic Approach for Fuel Consumption-Based Optimization of a Traffic Corridor. on 10/13/2022 at 12pm in Maytag Room EMS 426. Everyone is invited to attend.
Engineering
Chair: Ignatius Fomunung
Co-Chair: Mina Sartipi
Abstract:
Traffic congestion is a fast-growing problem in many counties and cities in the United States and around the world. According to recent statistics (McCarthy, 2020), 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. Over 70% of petroleum consumption in the United States is attributed to the transportation sector alone. While an obvious solution to congestion might be building more roads and increasing lanes on existing roads, this is a luxury that cannot be achieved in the limited right of way in many major cities globally. 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 and statistical concepts to develop algorithms that reduce overall fuel consumption and dangerous emissions at traffic intersections and corridors. The solutions proposed in this study will assist city managers in improving their traffic control system and drastically reduce the Carbon footprints of our road networks.