Reinforcement Learning Approach for Traffic Congestion Prediction Empowered with Explainable Artificial Intelligence (XAI)
Muhammad Waqas,
Sagheer Abbas,
Umer Farooq
et al.
Abstract:Traffic congestion in urban areas is an insistent challenge, increasing pollution levels and economic inefficiencies while reducing quality of life. Traditional traffic management systems, largely static and based on rules of thumb, struggle to dynamically adapt to ever-changing to solve the urban traffic problems. This work introduces a novel predictive framework using Reinforcement Learning enhanced with Explainable Artificial Intelligence techniques to boost both the interpretability and effectiveness of th… Show more
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