A paper has been presented in International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) with URL: https://ieeexplore.ieee.org/abstract/document/9529320.
There are two baseline control strategies: fixed-time control and adaptive pedestrian signal control (pedestrian click control). The following figure demonstrates the best performance of deep reinforcement learning control (smart control strategy).
The base deep-Q module is credited from https://github.com/AndreaVidali/Deep-QLearning-Agent-for-Traffic-Signal-Control. We slightly revised the deep-Q-module to accommodate the state-action representation for vulnerable road users.