The present invention relates to a multi-layer coupling relationship-based train operation deviation propagation condition recognition method, where the method includes the following steps: (1) recognizing an effective train event time sequence, including an arrival event and a departure event of a train at each passing station; (2) uniformly extracting train activity data, including a stop activity, a section operation activity, a turn-back activity, and an arrival or departure interval activity; (3) constructing coupling relationship groups between a train event and a train activity and between train activities; and (4) performing statistics on changes of train operation deviation in each relationship group, and outputting a respective distribution function and a time-space distribution visualized result. Compared with the prior art, the present invention has the advantages of being practical, automatic recognition, feedback optimization, and the like.
MULTI-LAYER COUPLING RELATIONSHIP-BASED METHOD FOR IDENTIFYING TRAIN OPERATION DEVIATION PROPAGATION CONDITIONS
AUF MEHRSCHICHTIGEN KOPPLUNGSBEZIEHUNGEN BASIERTES VERFAHREN ZUR IDENTIFIZIERUNG DER AUSBREITUNGSBEDINGUNGEN VON ABWEICHUNGEN IM ZUGBETRIEB
PROCÉDÉ BASÉ SUR UNE RELATION D'ACCOUPLEMENT MULTICOUCHE POUR IDENTIFIER DES CONDITIONS DE PROPAGATION D'ÉCART DE FONCTIONNEMENT DE TRAIN
2022-12-28
Patent
Elektronische Ressource
Englisch
IPC: | B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC |
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