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April 2024
Multi-agent deep reinforcement learning based real-time planning approach for responsive customized bus routes
Computers and Industrial Engineering (CINE), Volume 188, Issue Chttps://doi.org/10.1016/j.cie.2023.109840
Abstract
Customized bus can meet many passengers’ personalized travel demand in a public transportation system by providing an innovative shared travel service. Customized bus offers multiple bus routes that jointly form a route network to serve its ...
Highlights

This paper studies an emerging multiple routes planning problem for customized bus.
An innovative deep reinforcement learning based approach (MRL-RP) is proposed.
A new multi-agent system powered by encoder–decoder neural network ...
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