Date of Award
Santa Clara : Santa Clara University, 2020.
Civil, Environmental and Sustainable Engineering; Electrical and Computer Engineering; Computer Science and Engineering
Sarah Kate Wilson
A Python-based machine learning algorithm was designed for the function of the traffic signal controller. Traffic signal controllers are the decision-making component within a traffic control box. Signal controllers determine when and which traffic lights transition from one phase to the next. The deep Q-learning algorithm designed in this project looked to decrease average vehicle delay, the expected amount of stoppage the average vehicle should expect, by a minimum of 10%. This reduction in vehicle wait times will have a noticeable impact on vehicle emissions created by interrupted vehicle flow, making the signalized intersection system more environmentally friendly. On top of these performance-based metrics, the design provided by this project can be implemented theoretically in easily available and cost-reasonable hardware, allowing transportation authorities to save considerable amounts of taxpayer money on the designed product.
Donnelly, Griffin; Edwards, Donovan; and Yue, Michael, "Supreme Optimizer" (2020). Interdisciplinary Design Senior Theses. 68.