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What is Reinforcement Learning in Transportation about?

This paper reviews the application of reinforcement learning (RL) in transportation research, highlighting its role in addressing complex decision-making problems related to advanced vehicular technologies like connected and autonomous vehicles. Through a bibliometric analysis of 1,030 papers from 1996 to 2023, the authors identify key research areas such as vehicle motion planning and adaptive traffic signal control, while discussing future directions for RL applications in real-world scenarios. The review

Author

Andres Rios

Language

EN