公开(公告)号：US20220277237A1

公开(公告)日：2022-09-01

申请号：US17641373

申请日：2021-06-24

Applicant: Beijing Jiaotong University

Inventor： Shuai SU ,  Boyi SU ,  Zhikai WANG

IPC: G06Q10/06

Abstract: The present disclosure provides an operation adjustment method and system for metro trains under train out of service. The method includes: acquiring basic parameters of a metro system, information of the train out of service and information of the online normal running trains when the train has fault, determining follow-up train services of the train out of service and current train timetables thereof, adjusting the current timetables according to predicted time to stop service of the train out of service to obtain initial adjusted train timetables, determining canceled planned train services and rolling stocks for executing remaining planned train services, and adjusting the initial adjusted train timetables according to planned train timetables of the cancelled planned train services. The present disclosure can automatically adjust the train operation according to the information of the train out of service, and reasonably change the train timetables and the rolling stock circulation plan, thereby reducing influences of the train out of service, and improving the degree of automation of the metro system to adapt to refined management.

公开(公告)号：US20240400119A1

公开(公告)日：2024-12-05

申请号：US18392173

申请日：2023-12-21

Applicant: BEIJING JIAOTONG UNIVERSITY

Inventor： Hongjie LIU ,  Xiaolin LUO ,  Tao TANG ,  Ming CHAI ,  Shuai SU ,  Jidong LV

IPC: B61L27/16 ,  B61L25/02

Abstract: A method and system for virtually coupled train set (VCTS) control is provided. The method includes following steps: determining whether to execute a backup control strategy based on an actual state for a current cycle of each train unit and a target state sequence for a first preset number of cycles before the current cycle to obtain a first determination result; if the first determination result is yes, executing the backup control strategy to control each train unit; if the first determination result is no, calculating the target state sequence for the current cycle of each train unit according to a position or calculating the target state sequence for the current cycle of each train unit by using a synchronization relationship; and controlling each train unit according to the target state sequence for the current cycle of each train unit, respectively.

公开(公告)号：US20240020959A1

公开(公告)日：2024-01-18

申请号：US18130169

申请日：2023-04-03

Applicant: Beijing Jiaotong University

Inventor： Ming CHAI ,  Dong XIE ,  Hongjie LIU ,  Shuai SU ,  Jidong LV

IPC: G06V10/776 ,  G06V10/774 ,  G06T7/70 ,  G06V10/764 ,  G06V10/74 ,  G06T5/50

CPC classification number: G06V10/776 ,  G06V10/774 ,  G06T7/70 ,  G06V10/764 ,  G06V10/761 ,  G06T5/50 ,  G06T2207/20081 ,  G06T2207/20221 ,  G06T2207/20084

Abstract: A method and system for generating test cases for visual train positioning are provided and relate to the technical field of train positioning. The method includes: first obtaining real environment images around a train, and classifying the real environment images based on blur types; training a generative adversarial network (GAN)-based image generation network with each non-blurred training image, each blurred training image of any blur type in a same scenario and a preset blur type as inputs, and a reconstructed blurred image and a corresponding blur type as outputs, to obtain an image generation model; then inputting each real non-blurred image and target reference data into the image generation model to generate a target reconstructed blurred image, and then deleting target reconstructed blurred images with structural similarities lower than a set threshold.