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Reinforcement Learning (RL) for Transportation Wiki This electronic textbook is a student-contributed open-source text covering a variety of topics about RL for transportation.

Travel Behavior and Demand Modeling (B) Travel behaviour modeling Travel demand modeling Emerging Mobility and Urban Transportation (E) Pricing in ridesharing Matching in ridesharing Repositioning in Ridesharing Routing in Ridesharing Navigating in Unmanned Aerial Vehivle Traffic Network Modeling (T) Route planning Network planning Static traffic assignment Dynamic traffic assignment

Intelligent Transportation Systems (I) Connected and Automated Vehicles Intelligent Traffic Signal Control Cybersecurity Logistics and Freight Transportation (L) Routing Urban logistics Pricing and bidding in freight transporation Demand forecasting Sustainable and Equitable Transportation (S) Charging station pricing and scheduling Charging station recommendation Wireless charging Electric vehicle sharing Electric vehicle eco-driving

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