A scalable non-myopic dynamic dial-a-ride and pricing problem
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文摘

Dynamic dial-a-ride is studied as a solution for last mile problem and smart cities.

Ignoring pricing leaves an incomplete and less efficient non-myopic DARP.

Proposed a social optimal toll for queues under multi-server queue-based DARP.

Results show improvement in social welfare over prior policies that ignored price.

Guidelines for fleet design and shared-use policies under non-myopic pricing.

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