Adaptive rescheduling of rail transit services with short-turnings under disruptions via a multi-agent deep reinforcement learning approach.

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Bibliographic Details
Title: Adaptive rescheduling of rail transit services with short-turnings under disruptions via a multi-agent deep reinforcement learning approach.
Authors: Ying, Chengshuo1,2, Chow, Andy H.F.1,3, andychow@cityu.edu.hk, Yan, Yimo4, Kuo, Yong-Hong4, Wang, Shouyang2,5,6
Source: Transportation Research Part B: Methodological; Oct2024, Vol. 188, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
Description
ISSN:01912615
DOI:10.1016/j.trb.2024.103067