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Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks
In multimodal transportation systems, shared mobility services (SMSs) are promoted for their potential to enhance flexibility and reduce congestion. However, SMS demand is often concentrated in high-density areas, which can limit the effectiveness and accessibility for various commuter groups. This uneven integration c...