Committee Chair

Fomunung, Ignatius

Committee Member

Sartipi, Mina; Wu, Weidong; Osman, Osama A.

Department

Dept. of Civil and Chemical Engineering

College

College of Engineering and Computer Science

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

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.

Acknowledgments

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.

Degree

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.

Date

12-2022

Subject

Game theory; Electronic traffic controls

Keyword

Game theory; traffic signal optimization; intelligent transportation system; fuel consumption; performance index

Document Type

Masters theses

DCMI Type

Text

Extent

xiii, 67 leaves.

Language

English

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

http://creativecommons.org/licenses/by/4.0/

Date Available

12-31-2023

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