The publication delves into the challenges and opportunities facing the intercity bus industry in the wake of the COVID-19 pandemic. It outlines the industry's pre-pandemic growth fueled by technological advancements and discusses the severe impact of the pandemic, including a sharp decline in ridership, financial losses, and regulatory hurdles.
Impact by overheight trucks on highways bridges has been identified to be a serious problem by numerous studies in the past, including a detailed study by the PI in 2011. Most of the countermeasures for preventing impact of trucks on bridges utilize monitoring for truck heights to warn truck drivers. However, despite these systems being installed, bridges are still being impacted and some bridges suffer serious damage, particularly to fascia girders and decks.
Within the dynamic field of transportation research, Reinforcement Learning (RL) has been recognized as a critical approach to monitor, model, and manage transportation systems. Among the diverse array of RL techniques, the Upper Confidence Bound (UCB) algorithm stands out for its potential in solving long-standing transportation problems.
