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Patent Searching and Data


Title:
RAIL TRAFFIC PARALLEL DEDUCTION SYSTEM AND METHOD
Document Type and Number:
WIPO Patent Application WO/2022/099849
Kind Code:
A1
Abstract:
A rail traffic parallel deduction system and method. The system comprising: a data acquisition module (110) used for acquiring real-time train operation data and real-time passenger flow data on a target line; a line network passenger flow change early warning module (120) used for calculating, on the basis of past passenger flow data and the real-time passenger flow data of the target line, real-time passenger flow temporal and spatial distributions corresponding to the target line to predict the passenger flow of the target line; a failure event impact analysis module (130) used for determining the impact of a sudden failure on line operation; and a handling plan deduction calculation module (140) used for performing deduction on different handling plans for sudden large passenger flow, sudden failures, or emergency events to determine the impact of each handling plan on the train operation, passenger flow, and traffic flow of the target line, and performing energy consumption analysis. By acquiring operation status from the real world in real time, the present system can quickly deduce, on the basis of inputs of real-time data and real-time plans, the future operation status of a line in different scenarios and different plans and provide indicator data, thereby providing scientific support for real-time scheduling decisions.

Inventors:
XI HONGCHANG (CN)
SUN JUNGUO (CN)
LIU CHAO (CN)
Application Number:
PCT/CN2020/136365
Publication Date:
May 19, 2022
Filing Date:
December 15, 2020
Export Citation:
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Assignee:
TRAFFIC CONTROL TECH CO LTD (CN)
International Classes:
G06Q10/04
Foreign References:
CN107194497A2017-09-22
CN105787858A2016-07-20
CN105224999A2016-01-06
CN106781461A2017-05-31
US20150206427A12015-07-23
Other References:
JIAN LIU, BO-QING FENG, FANG LI, JIN QIAN, GUANGZHOU: "Research on digital emergency plan for Urban Transit based on incident scene", RAILWAY COMPUTER APPLICATION, vol. 21, no. 5, 1 May 2012 (2012-05-01), pages 1 - 4, XP055929151, ISSN: 1002-8451
See also references of EP 4246391A4
Attorney, Agent or Firm:
CN-KNOWHOW INTELLECTUAL PROPERTY AGENT LIMITED (CN)
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