The present invention relates to the field of rail transit train operation data processing, and in particular, to a multi-layer coupling relationship-based train operation deviation propagation condition recognition method.
An urban rail transit automatic train supervision (ATS) system can record an arrival time or a departure time of each train at each station track and attributes such as deviation from a plan, a destination, and a direction. This type of train operation data is a result of co-action of preliminary planning and on-site requirement, reflecting various states of a driving process, and the performance characteristics of the data are of great significance for test and optimization of a plan.
In recent years, with the improvement of a scale of a rail transit road network and the progress of related hardware device facilities and a computer technology, an operation management work is continuously refined and developed, so that collection and storage of the train operation data are gradually normalized. However, in most rail transit departments in China, the train operation data is mainly used for calculating performance indicators such as a fulfilled rate and punctuality and delay, the mining analysis of the train operation data has not yet received much attention, and the data is not sufficiently utilized. In the research field, the domestic research on actual train operation data is still in an early station, and a systematic data analysis method has not been formed.
Chinese Patent Publication No. CN108945004A discloses an invention patent entitled “METHOD AND SYSTEM FOR ANALYZING TRAIN OPERATION DEVIATION CONDITION”, in the invention patent, after complete and effective train operation data is selected, and an operation deviation time is divided and labeled by using a chromaticity diagram, so that an initial delay position is traced. However, this solution is aimed at the delay of a single train and visualization of the train, and does not consider a complex situation of a multi-layer coupling relationship, resulting in relatively large limitation.
An objective of the present invention is to provide a multi-layer coupling relationship-based train operation deviation propagation condition recognition method, which has the advantages of being practical, automatic recognition, and feedback optimization.
The purpose of the present invention may be achieved through the following technical solutions.
A multi-layer coupling relationship-based train operation deviation propagation condition recognition method is provided, including the following steps:
Preferably, the effective train event time sequence is specifically an effective event time sequence obtained by removing an abnormal value caused by a system error according to train operation data provided by an urban rail transit automatic train supervision system ATS, deleting data for an abnormal stop, thus obtaining effective event data, and sorting the effective event data according to type requirements of train activities to be extracted.
Preferably, the type requirements of the train activities are specifically as follows:
Preferably, each train activity is formed by two associated train events and is specifically as follows:
Preferably, the coupling relationship group between the train event and the train activity specifically includes:
Preferably, the coupling relationship group between the train activities specifically includes:
Preferably, the changes of train operation deviation in each relationship group specifically include:
Preferably, the time periods include: an early flat peak, an early high peak, a noon flat peak, a late high peak, a late flat peak, and a night flat peak.
Compared with the prior art, the present invention has the following advantages:
Clear and complete description will be made to the technical solutions in embodiments of the present invention in conjunction with drawings in the embodiments of the present invention hereafter. Obviously, the described embodiments are merely a part of embodiments of the present invention and not all the embodiments. Based on the embodiments of the present invention, all of other embodiments obtained by a person of ordinary skill in the art without any creative effort shall belong to the protection scope of the present invention.
According to the method in the present invention, an effective train event time sequence is uniformly recognized and screened according to a current urban rail transit train operation collection state. Various train activity data is extracted respectively based on a train event time sequence sorted according to a train number or according to a station respectively. Considering a coupling relationship group between a plurality of events and a plurality of activities, statistics is performed on changes of train operation deviation in each relationship group, and a respective distribution function and a time-space distribution visualized result are outputted, thus obtaining a propagation condition of the train operation deviation in the space-time range.
The present invention is further described below, and the method of the present invention includes the following steps (
The event data includes event time deviation data (Table 1), and the extracted activity data includes activity time deviation data (Table 2). Associated deviation data is retrieved based on the coupling relationships in step 3 and statistical analysis is performed, so that the distribution function of the activity time deviation changing with the event time deviation within a custom range and a time-space distribution virtualized result of associated activity time deviation can be displayed.
The above descriptions are only specific implementations of the present invention. However, the protection scope of the present invention is not limited thereto, any person skilled in the art can easily think of various equivalent modifications or substitutions within the technical scope disclosed by the present invention, and all of these modifications or substitutions shall fall within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined with reference to the appended claims.
Number | Date | Country | Kind |
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201911160257.2 | Nov 2019 | CN | national |
Filing Document | Filing Date | Country | Kind |
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PCT/CN2020/121864 | 10/19/2020 | WO |
Publishing Document | Publishing Date | Country | Kind |
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WO2021/098430 | 5/27/2021 | WO | A |
Number | Date | Country |
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103723168 | Apr 2014 | CN |
108945004 | Dec 2018 | CN |
109740839 | May 2019 | CN |
111016976 | Apr 2020 | CN |
2015003625 | Jan 2015 | JP |
Entry |
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Zhan et al., “Real-time train rescheduling on high-speed railway under partial segment blockages”, Journal of the China Railway Society, vol. 38, No. 10, Oct. 2016, with English Abstract, 13 pages provided. |
Internal Search Report and Written Opinion issued in PCT/CN2020/121864, dated Jan. 19, 2021. |
Number | Date | Country | |
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20220315075 A1 | Oct 2022 | US |