Reinforcement learning is an approach to sequential decision making aimed at optimizing an agent’s learning strategy during its interactions with the environment to achieve maximum expected cumulative ...

The transit signal priority leads to the delay of private vehicles in the priority and non-priority phases. To address this problem, a bi-level programming model is proposed based on the dynamic cycle ...