{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1954"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1954","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Application of game theory for adaptive energy conscious traffic control at isolated intersections and arterial corridors","abstract":"Traffic congestion is a growing issue in many counties and cities in the United States and around the world. According to recent statistics [1], 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.","abstract_html":"Traffic congestion is a growing issue in many counties and cities in the United States and around the world. According to recent statistics [1], 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.","abstract_has_math":true,"creators":["Babatunde, Jibril"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Fomunung, Ignatius","Sartipi, Mina; Wu, Weidong; Osman, Osama A.","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-12-31T08:00:00Z","date_published":"2023-12-31T08:00:00Z","updated_at":"2026-07-24T05:47:13Z","subjects":["Game theory","Electronic traffic controls"],"languages":["English","eng"],"rights":[],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/776","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Fomunung, Ignatius","Sartipi, Mina; Wu, Weidong; Osman, Osama A.","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Babatunde, Jibril"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-12-01T08:00:00Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-12-31T08:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Game theory","Electronic traffic controls"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/776"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Civil and Chemical Engineering","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."]},{"key":"dc:description.abstract","label":"Abstract","values":["Traffic congestion is a growing issue in many counties and cities in the United States and around the world. According to recent statistics [1], 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."]},{"key":"dc:title","label":"Title","values":["Application of game theory for adaptive energy conscious traffic control at isolated intersections and arterial corridors"]}]}],"canonical_facts":{"dc:contributor":["Fomunung, Ignatius","Sartipi, Mina; Wu, Weidong; Osman, Osama A.","College of Engineering and Computer Science"],"dc:creator":["Babatunde, Jibril"],"dc:date":["2022-12-01T08:00:00Z"],"dc:date.available":["2023-12-31T08:00:00Z"],"dc:description":["Dept. of Civil and Chemical Engineering","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."],"dc:description.abstract":["Traffic congestion is a growing issue in many counties and cities in the United States and around the world. According to recent statistics [1], 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."],"dc:identifier":["https://scholar.utc.edu/theses/776"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["Game theory","Electronic traffic controls"],"dc:title":["Application of game theory for adaptive energy conscious traffic control at isolated intersections and arterial corridors"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:47:13Z"}