CN115471049A

CN115471049A - Method and device for determining operation adjustment scheme

Info

Publication number: CN115471049A
Application number: CN202211034342.6A
Authority: CN
Inventors: 马晓彬; 席宏昌
Original assignee: Traffic Control Technology TCT Co Ltd
Current assignee: Traffic Control Technology TCT Co Ltd
Priority date: 2022-08-26
Filing date: 2022-08-26
Publication date: 2022-12-13

Abstract

The invention provides a method and a device for determining an operation adjustment scheme, wherein the method comprises the following steps: comparing the index data of the line with a preset index threshold of the index data to determine overrun index data; determining a plurality of operation diagram adjustment modes of the line based on the overrun index data, adjusting the original operation diagram of the line and obtaining a plurality of adjusted operation diagrams of the line; and respectively inputting the index data and the prediction data corresponding to the index data into a plurality of adjusted operation diagrams to obtain a plurality of operation adjustment schemes of the line. According to the method and the device for determining the operation adjustment scheme, provided by the invention, a plurality of adjustment modes of the original operation diagram are determined through the overrun index data in the line, so that the real-time adjustment of the operation diagram aiming at the real-time line operation state is realized. And inputting the index data and the prediction data into a plurality of adjusted operation diagrams to obtain a plurality of operation adjustment schemes of the line, so that the operation adjustment schemes can be automatically and quickly determined according to real-time operation conditions.

Description

Method and device for determining operation adjustment scheme

Technical Field

The invention relates to the technical field of rail transit, in particular to a method and a device for determining an operation adjustment scheme.

Background

The existing rail transit operation system is more and more mature, the departure interval of a subway line is shorter and shorter, and the transport capacity is continuously improved. The existing operation system can basically meet the requirement of transport capacity, and the situations of peak hours of work and work, large passenger flow in holidays and the like have enough experience to be skillfully coped with.

The existing operation measures of the rail transit are determined based on historical data analysis, and the problems can be solved when the rail transit normally operates. But the possible emergencies are not the same as the historical situations, which has two effects. When the passenger flow is not as expected in the history, the idling rate of the train becomes high, and the energy consumption is wasted. In the case that the passenger flow is more than the historical expectation, the passengers are detained at the station of a part of the route, and the satisfaction of the passengers is reduced.

Therefore, how to automatically and quickly determine the corresponding operation adjustment scheme according to the real-time operation situation is an important issue to be solved in the industry at present.

Disclosure of Invention

The invention provides a method and a device for determining an operation adjustment scheme, which are used for solving the technical problem that in the prior art, an operation scheme determined based on historical data is used when a train operates, and a corresponding operation adjustment scheme cannot be automatically and quickly determined aiming at an emergency.

The invention provides a method for determining an operation adjustment scheme, which comprises the following steps:

acquiring index data of a line in rail transit, comparing the index data with a preset index threshold of the index data, and determining overrun index data in the index data, wherein the index data comprises passenger flow index data and train capacity index data;

determining a plurality of operation diagram adjustment modes of the line based on the overrun index data, and adjusting an original operation diagram of the line based on the operation diagram adjustment modes to obtain a plurality of adjusted operation diagrams of the line;

and respectively inputting the index data and the prediction data corresponding to the index data into the plurality of adjusted operation diagrams to obtain a plurality of operation adjustment schemes of the line.

According to the method for determining the operation adjustment scheme provided by the invention, the step of comparing the index data with the preset index threshold of the index data to determine the overrun index data in the index data comprises the following steps:

determining a preset index threshold value of the index data based on the same historical moment data of the index data;

and comparing the index data with the preset index threshold value, and determining the overrun index data of which the difference with the preset index threshold value is greater than a preset difference threshold value in the index data.

According to the method for determining the operation adjustment scheme provided by the invention, the passenger flow index data comprises the following steps: at least one of the inbound passenger flow volume, the outbound passenger flow volume, the transfer passenger flow volume, the traffic outgoing volume, the number distribution of people at the waiting time, the number distribution of waiting trips, the number of waiting people and the instantaneous passenger flow volume;

the train capacity indicator data includes: at least one of passenger traffic volume, instantaneous passenger traffic volume, regional capacity, passenger traffic turnover volume, load intensity, passenger traffic intensity, regional full load rate, train full load rate, and station distribution volume.

According to the method for determining the operation adjustment scheme provided by the invention, after the index data of the line in the rail transit is acquired, the method further comprises the following steps:

in a case where the link is a single link, the passenger flow index data in the index data includes: the system comprises a line arrival passenger flow volume, a line departure passenger flow volume, a line transfer station passenger flow volume, a line traffic departure volume, a line waiting time number distribution, a line waiting number and a line instantaneous passenger flow volume;

the train capacity index data in the index number comprises: line passenger traffic volume, line section capacity, line passenger traffic turnover volume, line load intensity, line passenger traffic intensity, line section full load rate, line train full load rate, and line station distribution volume.

in a case where the line is a full network line, the passenger flow index data in the index data includes: the system comprises a whole-network station entering passenger flow volume, a whole-network station exiting passenger flow volume, a whole-network transfer station passenger flow volume, a whole-network traffic traveling volume, a whole-network waiting time passenger number distribution and a whole-network instantaneous passenger flow volume;

the train capacity index data in the index number comprises: the system comprises a whole-network passenger traffic volume, a whole-network instantaneous passenger traffic volume, a whole-network section transport capacity, a whole-network passenger traffic transit volume, a whole-network load intensity, a whole-network passenger traffic intensity, a whole-network section full load rate and a whole-network train full load rate.

According to the method for determining the operation adjustment scheme, the prediction data corresponding to the index data is determined based on the same historical time data of the index data.

The present invention also provides a device for determining an operation adjustment scheme, including:

the system comprises an overrun index data determination module, a traffic monitoring module and a traffic monitoring module, wherein the overrun index data determination module is used for acquiring index data of a line in rail transit, comparing the index data with a preset index threshold of the index data and determining overrun index data in the index data, and the index data comprises passenger flow index data and train capacity index data;

the operation diagram adjusting module is used for determining a plurality of operation diagram adjusting modes of the line based on the overrun index data, and adjusting the original operation diagram of the line based on the operation diagram adjusting modes to obtain a plurality of adjusted operation diagrams of the line;

and the scheme determining module is used for respectively inputting the index data and the prediction data corresponding to the index data into the plurality of adjusted operation diagrams to obtain a plurality of operation adjusting schemes of the line.

The present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for determining the operation adjustment scheme as described above when executing the computer program.

The invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of determining an operational adjustment scheme as described in any of the above.

The invention also provides a computer program product comprising a computer program which, when executed by a processor, implements a method of determining an operational adjustment scheme as described in any one of the above.

According to the method and the device for determining the operation adjustment scheme, provided by the invention, a plurality of adjustment modes of the original operation diagram are determined by determining the overrun index data in the rail transit line. And determining a plurality of adjusted running charts of the line based on the determined plurality of adjustment modes, thereby realizing the real-time adjustment of the running charts aiming at the real-time line running state. The index data and the prediction data are input into the plurality of adjusted operation diagrams to obtain a plurality of operation adjustment schemes of the line, so that the corresponding operation adjustment schemes can be automatically and quickly determined according to real-time operation conditions, and reference is provided for subsequent scheduling personnel to determine the operation adjustment schemes.

Drawings

In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.

FIG. 1 is a schematic flow chart of a method for determining an operational adjustment scheme provided by the present invention;

FIG. 2 is a schematic diagram of a device for determining an operational adjustment scheme provided by the present invention;

fig. 3 is a schematic structural diagram of an electronic device provided in the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Fig. 1 is a schematic flow chart of a method for determining an operation adjustment scheme according to the present invention. Referring to fig. 1, the method for determining an operation adjustment scheme provided by the present invention may include:

step 110, acquiring index data of a line in rail transit, comparing the index data with a preset index threshold of the index data, and determining overrun index data in the index data, wherein the index data comprises passenger flow index data and train capacity index data;

step 120, determining a plurality of operation diagram adjustment modes of the line based on the overrun index data, and adjusting an original operation diagram of the line based on the operation diagram adjustment modes to obtain a plurality of adjusted operation diagrams of the line;

and step 130, inputting the index data and the prediction data corresponding to the index data into the plurality of adjusted operation diagrams respectively to obtain a plurality of operation adjustment schemes of the line.

The execution subject of the determination method of the operation adjustment scheme provided by the invention can be an electronic device, a component in the electronic device, an integrated circuit, or a chip. The electronic device may be a mobile electronic device or a non-mobile electronic device. For example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palmtop computer, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), and the like, and the present invention is not limited in particular.

The following describes the technical solution of the present invention in detail by taking a computer as an example to execute the method for determining the operation adjustment scheme provided by the present invention.

In step 110, index data of a line in the rail transit is acquired, and the acquired index data is compared with a preset index threshold of the corresponding index data to determine overrun index data in the index data. The index data of the line refers to passenger flow index data in the line and train capacity index data in the line.

The index data of the line in the rail transit is passenger flow index data and train capacity index data. The traffic indicator data reflects the number of traffic in the line and the distribution of traffic. The passenger flow index data can be the inbound passenger flow, the outbound passenger flow, the transfer passenger flow, the traffic outbound volume, the number distribution of waiting time, the number distribution of waiting times, the number of waiting times and the instantaneous passenger flow.

The train capacity index data reflects the volume of passengers that the train can carry in the line. The train capacity index data may be passenger capacity, instantaneous passenger capacity, regional capacity, passenger traffic volume, load intensity, passenger traffic intensity, regional full load rate, train full load rate, and passenger traffic distribution volume.

After the index data of the line is obtained, the obtained index data is compared with a preset index threshold of the index data. It can be understood that, for index data at a certain time, historical index data at a corresponding time may be selected as a preset index threshold. And determining whether the current index data is normal or not based on a preset index threshold.

And comparing the acquired index data with a preset index threshold of the corresponding index data to determine the overrun index data in the current index data. The multiple items in the index data are compared with the corresponding preset index threshold value one by one to determine the overrun index data in the index data. The overrun index data may be data that is far larger than a preset index threshold value in the index data.

It can be understood that in the case of normal operation of the rail transit line, the general index data does not fluctuate too much and is basically the same as the historical data. However, for each possible emergency in the rail transit line, the index data may be changed greatly. For example, in a rail transit line, a large activity is temporarily carried out on a certain line, a certain station is out of order, and a serious sudden natural disaster is suffered, which may cause a large fluctuation of passenger flow in the rail transit line. The index data is compared with a preset index threshold corresponding to the index data, and the key data with fluctuation in the index data can be determined.

In step 120, after the overrun index data in the index data is determined, multiple operation diagram adjustment modes of the line are determined based on the overrun index data, and the original operation diagram of the line is adjusted based on the determined multiple operation diagram adjustment modes to obtain multiple adjusted operation diagrams of the line.

The train operation diagram is a technical file for representing the operation of a train in a railway section and the arrival and departure time or the passing time of the train in a station, and is the basis for organizing the operation of the train on the whole road. The movement diagram specifies the procedures of the section occupied by the train of each train number, the arrival and departure (or passing) time of the train at each station, the running time of the train in the section, the stop time of the train at the station, the locomotive passing, the weight and length of the train, and the like. The train running schedule is an illustration of a train running schedule, and each train is specified to run in an interval and arrive, send and pass at a station at a certain moment. The train diagram is a diagram of the time and space relationship of train operation, and it represents a two-dimensional line diagram of the train operation in each section and the stop or passing state at each station.

The original operational profile of the train in the line is determined based on historical data. And determining the overrun index data in the line after the emergency occurs in the line. The original operation diagram can be adjusted in a targeted manner based on the determined overrun index data, so that an adjusted operation diagram is obtained.

The overrun index data is passenger flow index overrun data and train capacity index overrun data. For the overrun index data, when the overrun index data indicates that the passenger flow volume is increased or decreased, the original operation diagram can be adjusted in a targeted manner. For example, for the case where the passenger flow volume exceeds the upper limit or the case where the passenger flow volume is predicted to exceed the upper limit, there are three main directions for adjusting the driving diagram that can be taken from the road network perspective, one is to reduce the departure interval of the same route, and the other is to increase the temporary number of cars, and for the route that can be operated across routes, the size of the route can be adjusted to carry out cross-route running to alleviate the large passenger flow at a local station. The arrangement combination of the adjustment has a plurality of schemes, and the optimal transfer mode can be selected by combining the stop service guidance passenger for the overlarge passenger flow. When the passenger flow volume decreases beyond the lower limit or is about to exceed the lower limit, the operational profile adjustments that can be taken are to increase the departure interval, take off temporary vehicle numbers, and reduce the planned vehicle numbers if necessary. The line of overline operation can synthesize adjustment size traffic. The arrangement and combination of the measures can generate a plurality of schemes, namely, a plurality of operation diagram adjusting modes can be determined, so that a plurality of adjusted operation diagrams of the line can be obtained.

In step 130, the obtained index data and the prediction data corresponding to the index data are respectively input into a plurality of adjusted operation maps. And simulating the plurality of adjusted operation diagrams based on the input index data and the prediction data to obtain a plurality of operation adjustment schemes of the current line.

The predicted data corresponding to the index data may be data of the current index data after five minutes in the future. The acquisition of the prediction data may be determined by acquiring data of the current index data five minutes after the same historical time period. Or the data can be determined by acquiring the data which is the same as the current index data in the historical data after five minutes.

It can be understood that in the decision of the existing rail transit scheme, the scheme adjustment is completely carried out based on a computer, and there may be error adjustment or deviation of unreasonable adjustment. After the plurality of operation adjustment schemes are obtained, the operation adjustment schemes are summarized to the scheduling personnel of the line based on the form of the report, and the adjustment schemes which are finally executed by the scheduling personnel based on the decision making can realize the rapid adjustment of the operation of the rail transit line on the premise of ensuring the safety.

Optionally, for multiple adjusted operation diagrams of the line, because the data size is large in the process of simulating each operation diagram, simulation deduction of the operation diagrams can be performed in an asynchronous parallel manner, so that multiple operation adjustment schemes of the line of the multiple operation diagrams are obtained.

The operation adjustment scheme may include two pieces of information, one is actual operation diagram data information before the current time, and the other is prediction information about five minutes in the future from the current time. The running adjustment scheme may be based on the form of net graph marking + scheme report. Information such as the full load rate of the interval, the number of people going in and out of the station and the like is marked on the wire network diagram for the reference of dispatchers.

According to the method for determining the operation adjustment scheme, provided by the embodiment of the invention, a plurality of adjustment modes for the original operation diagram are determined by determining the overrun index data in the rail transit line. And determining a plurality of adjusted running charts of the line based on the determined plurality of adjustment modes, thereby realizing the real-time adjustment of the running charts aiming at the real-time line running state. The index data and the prediction data are input into the plurality of adjusted operation diagrams to obtain a plurality of operation adjustment schemes of the line, so that the corresponding operation adjustment schemes can be automatically and quickly determined according to real-time operation conditions, and reference is provided for subsequent scheduling personnel to determine the operation adjustment schemes.

In one embodiment, comparing the index data with a preset index threshold of the index data to determine overrun index data in the index data includes: determining a preset index threshold value of the index data based on the same historical moment data of the index data; and comparing the index data with the preset index threshold value, and determining the overrun index data of which the difference with the preset index threshold value is greater than a preset difference threshold value in the index data.

And determining an index preset index threshold value of the current index data based on the same historical moment data of the current index data. It can be understood that, in the case where the line is normally operated for the index data at a certain time, the difference from the index data at the corresponding history time is not large.

According to the requirement, a specific preset difference threshold value is set, the difference of the current index data compared with the preset index threshold value is determined, and under the condition that the difference is larger than the preset difference threshold value or smaller than the preset difference threshold value, the difference between the current index data and the preset index threshold value can be determined to be overlarge, and the current line operation can be determined to be an abnormal condition.

According to the method for determining the operation adjustment scheme, provided by the embodiment of the invention, the difference between the index data in the current line and the preset index threshold value is judged by setting the preset difference threshold value and comparing the index data with the preset index threshold value, the overrun index data is determined, and a foundation is provided for the subsequent judgment of the abnormal operation condition of the line and the adjustment of the line operation scheme aiming at the overrun index data.

In one embodiment, the passenger flow metric data includes: at least one of the inbound passenger flow volume, the outbound passenger flow volume, the transfer passenger flow volume, the traffic outgoing volume, the number distribution of people at the waiting time, the number distribution of waiting trips, the number of waiting people and the instantaneous passenger flow volume; the train capacity indicator data includes: at least one of passenger traffic volume, instantaneous passenger traffic volume, regional capacity, passenger traffic turnover volume, load intensity, passenger traffic intensity, regional full load rate, train full load rate, and station distribution volume.

The traffic indicator data reflects the number of traffic in the line and the distribution of traffic. The train capacity index data reflects the volume of passengers that the train can carry in the line.

The passenger flow index data in the index data includes at least one of an inbound passenger flow volume, an outbound passenger flow volume, a transfer passenger flow volume, a traffic outbound volume, a number distribution of people at a waiting time, a number of people at a waiting time, and an instantaneous passenger flow volume.

Wherein the inbound passenger flow rate refers to the total number of passengers arriving at the station in the unit time; the outbound passenger flow refers to the total number of people who are on the way and outbound in unit time; the transfer passenger flow refers to the number of transfer passengers in the line in unit time; the traffic travel amount refers to the traffic travel amount between the start point and the end point of the route in unit time; the number distribution of the people at the waiting time refers to the number distribution of the people at the waiting time of each platform in the line in unit time; the number distribution of waiting times refers to the number distribution of waiting times at each station in unit time; the number of waiting people refers to the total number of waiting people at each station in unit time; the instantaneous passenger flow rate refers to the instantaneous passenger flow rate of a station in unit time.

For the train capacity index data in the line index data, the method comprises the following steps: at least one of passenger volume, instantaneous passenger volume, regional capacity, passenger traffic volume, load intensity, passenger traffic intensity, regional full load rate, train full load rate, and station distribution volume.

Wherein the passenger volume refers to the passenger volume of the line in unit time; the instantaneous passenger capacity refers to the instantaneous passenger capacity at each moment in unit time; the interval transport capacity refers to the transport capacity of each interval in unit time; the passenger transport turnover number refers to the passenger transport turnover number in the line on the same day; the load intensity refers to the load intensity of each line on the same day; the passenger transport intensity refers to the passenger transport intensity of each line on the same day; the interval full load rate refers to the full load rate of each interval in unit time; the train full load rate refers to the number of people in each train section in unit time; the station distribution amount refers to the distribution amount of each station in the day.

Alternatively, the unit time may be set to five minutes, depending on the subsequent computational requirements of the rail transit operational data.

The method for determining the operation adjustment scheme, provided by the embodiment of the invention, provides a basis for determining the specific data of the operation adjustment scheme according to the index data subsequently by determining the passenger flow index data and the specific index data contained in the train capacity index data.

In one embodiment, after obtaining the index data of the line in the rail transit, the method further includes: in a case where the link is a single link, the passenger flow index data in the index data includes: the system comprises a line arrival passenger flow volume, a line departure passenger flow volume, a line transfer station passenger flow volume, a line traffic departure volume, a line waiting time number distribution, a line waiting number and a line instantaneous passenger flow volume; the train capacity index data in the index number comprises: the line passenger capacity, the line section capacity, the line passenger traffic turnover quantity, the line passenger traffic intensity, the line section full load rate, the line train full load rate and the line station distribution quantity.

In the case where the line is a single line, that is, only one line is included, the index data of the single line is determined. The passenger flow index data in the index data of the single line comprises: the system comprises a line arrival passenger flow volume, a line departure passenger flow volume, a line transfer station passenger flow volume, a line traffic departure volume, a line waiting time number distribution, a line waiting number and a line instantaneous passenger flow volume; the train capacity index data in the index data of the single line includes: the system comprises a line passenger traffic volume, a line section transport capacity, a line passenger traffic turnover volume, a line load intensity, a line passenger traffic intensity, a line section full load rate, a line train full load rate and a line station distribution volume.

Optionally, for a single line, generating passenger flow index data of index data for 5 minutes includes:

the line inbound passenger flow is the inbound passenger flow of each physical station in the line of 5 minutes. The acquisition rule is as follows: and accumulating passengers entering the station corresponding to each physical station in the line.

The outbound passenger flow of the line is the outbound passenger flow of each physical station in the line of 5 minutes. The acquisition rule is as follows: and accumulating the passengers leaving the station corresponding to each physical station in the line.

And the passenger flow of the line transfer station is the passenger flow of each physical station transfer station in 5 minutes of the line. The acquisition rule is as follows: and accumulating the transfer passengers corresponding to each physical station in the line.

The traffic volume of the line is the traffic volume between the starting point and the ending point of the line within 5 minutes. The acquisition rule is as follows: the number of passengers corresponding to all the departure and arrival points is counted (the departure and arrival points of the arrival data of each passenger are accumulated).

The number of people in the waiting time of the line is distributed in 5 minutes at each platform. The acquisition rule is as follows: when the current time of the waiting state and the getting-on state of the passenger at a certain platform is determined, the passenger can be determined to be a waiting passenger if the current waiting time of the passenger exceeds 30 seconds.

The number of waiting times of the line is distributed, and the number of waiting times of each physical station in the line is distributed in nearly 5 minutes. The acquisition rule is as follows: the number of the missed bus times of each physical station is distributed (for example, the missed bus time 0 is 300 passengers, the missed bus time 1 is 100 passengers, the missed bus time 2 is 200 passengers, and the number of the waiting passes is equal to the missed bus time + 1).

The number of the line waiting people is the number of the line waiting people at each physical station in 5 minutes. The acquisition rule is as follows: and accumulating the number of waiting people at the station according to the physical station and the waiting state.

The instantaneous passenger flow of the line is the instantaneous passenger flow of each physical station in the line for 5 minutes at each moment. The calculation rule is as follows: line instantaneous passenger flow = real-time cumulative inbound-real-time cumulative outbound.

The train capacity index data for generating index data for 5 minutes for a single link includes:

the line passenger volume is the passenger volume of each physical station in the line for nearly 5 minutes. The acquisition rule is as follows: physical station arrival amount + physical station transfer amount.

The line interval transport capacity is the transport capacity of each interval of the line in approximately 5 minutes. The acquisition rule is as follows: and (4) carrying the passenger and the fixed member on the line, and counting the number of the train numbers after the transportation capacity = the fixed member and the interval of the heavy load removal in 5 minutes. The number of the fixed members is the number of the rated load members of the vehicles, and the number of the train numbers after the interval is removed from the weight is the number of all the non-repeated vehicles contained in the interval.

The line passenger transportation turnover amount is the current line passenger transportation turnover amount on the same day. The calculation rule is as follows: the sum of the riding distances of passengers on the line.

The line load intensity is the current line passenger transport intensity on the same day. The calculation rule is as follows: when the Japanese line passenger transportation turnover/the line operation mileage.

The line passenger traffic intensity is the current line passenger traffic intensity on the same day. The calculation rule is as follows: when japanese line passenger capacity/home line operating mileage.

The line interval full load rate is the full load rate of each interval of the line in 5 minutes. The calculation rule is as follows: and the interval full load rate = interval passenger flow volume/interval transport capacity.

The train full load rate of the line is measured based on the number of train persons in the train section, the full load rate of the train section, the maximum full load rate of the train and the average full load rate of the train. The number of train passengers in each train section is nearly 5 minutes, and the calculation rule is as follows: the number of passengers in a train in one interval is determined, and 5 minutes may pass through two intervals, so that the values in the two intervals may be different. Data was output once for 5 minutes. One interval for one data.

The train interval full load rate is the full load rate of each train interval in 5 minutes. The calculation rule is as follows: and dividing the number of passengers in the train section by the rated number of people on the line according to the number of passengers in the train section.

The maximum loading rate of the train is the maximum loading rate of each train section in 5 minutes. The calculation rule is as follows: and recording the maximum number of passengers in the section of the train, and dividing the number by the line limit number. This value may reach a maximum value during peak hours.

The average train full load rate is the average full load rate of each train interval in 5 minutes. The calculation rule is as follows: the sum of the number of passengers in the section where the train passes is divided by the number of the section, and then divided by the number of the credit.

The line station distribution amount is the distribution amount of each physical station on the day. The acquisition rule is as follows: the physical station entering amount on the day + the physical station exiting amount on the day + the physical transfer station transfer amount on the day (the non-transfer station is 0).

According to the method for determining the operation adjustment scheme provided by the embodiment of the invention, the current passenger flow index data of the single line and the specific index data contained in the train capacity index data are determined under the condition that the current line is the single line, so that a foundation is provided for determining the specific data of the operation adjustment scheme of the single line according to the index data.

In one embodiment, after the index data of the route in the rail transit is acquired, the method further includes: in the case that the line is a full network line, the passenger flow index data in the index data includes: the system comprises a whole-network station-entering passenger flow volume, a whole-network station-exiting passenger flow volume, a whole-network transfer passenger flow volume, a whole-network traffic outgoing volume, a whole-network waiting time passenger number distribution and a whole-network instantaneous passenger flow volume; the train capacity index data in the index number comprises: the system comprises the following components of the whole-network passenger traffic volume, the whole-network instantaneous passenger traffic volume, the whole-network section transport capacity, the whole-network passenger traffic turnover volume, the whole-network load intensity, the whole-network passenger traffic intensity, the whole-network section full load rate and the whole-network train full load rate.

When the line is a whole network line, that is, the whole rail transit network (including a plurality of lines), the index data of the whole network line is determined. The passenger flow index data in the index data of the whole network line comprises the following steps: the system comprises a whole-network station entering passenger flow volume, a whole-network station exiting passenger flow volume, a whole-network transfer station passenger flow volume, a whole-network traffic traveling volume, a whole-network waiting time passenger number distribution and a whole-network instantaneous passenger flow volume; the train capacity index data in the index data of the whole network line comprises the following steps: the system comprises the following components of the whole-network passenger traffic volume, the whole-network instantaneous passenger traffic volume, the whole-network section transport capacity, the whole-network passenger traffic turnover volume, the whole-network load intensity, the whole-network passenger traffic intensity, the whole-network section full load rate and the whole-network train full load rate.

Optionally, generating passenger flow index data of index data for 5 minutes for the entire network line includes:

the station-entering passenger flow of the whole network is the station-entering passenger flow of each line in 5 minutes of the whole network. The acquisition rule is as follows: and accumulating the inbound passengers corresponding to each line in the whole network.

And the outbound passenger flow of the whole network is the outbound passenger flow of each line in 5 minutes of the whole network. The acquisition rule is as follows: and accumulating the outbound passengers corresponding to each line in the whole network.

And the passenger flow of the whole network transfer station is the passenger flow of each line transfer station in 5 minutes. The acquisition rule is as follows: and accumulating corresponding transfer passengers in all lines of the whole network.

The traffic volume of the whole network is the traffic volume between the starting point and the ending point of the line within 5 minutes. The acquisition rule is as follows: the number of passengers corresponding to all the departure and arrival points is counted (the departure and arrival points of the arrival data of each passenger are accumulated).

The number of people in waiting time of the whole network is distributed in waiting time of each platform in nearly 5 minutes of each line of the whole network. The acquisition rule is as follows: when the current time of the waiting state and the getting-on state of the passenger at a certain platform is determined, the passenger can be determined to be a waiting passenger if the current waiting time of the passenger exceeds 30 seconds.

The instantaneous passenger flow of the whole network is the instantaneous passenger flow of each line in 5 minutes of the whole network at each moment. The calculation rule is as follows: line instantaneous passenger flow = real-time cumulative inbound-real-time cumulative outbound.

The train capacity index data generating index data of 5 minutes for a whole network line includes:

the whole network passenger capacity is the passenger capacity of each line in 5 minutes in the whole network. The acquisition rule is as follows: the line inbound passenger flow + the line is changed into the passenger flow.

The whole network instantaneous passenger traffic is near 5 minutes. The acquisition rule is as follows: real-time cumulative inbound-real-time cumulative outbound.

The transport capacity of the whole network is the transport capacity of each interval of the whole network in 5 minutes. The acquisition rule is as follows: and (4) carrying the passenger and the fixed member on the line, and counting the number of the train numbers after the transportation capacity = the fixed member and the interval of the heavy load removal in 5 minutes. The number of the fixed members is the number of the rated load members of the vehicles, and the number of the train numbers after the interval is removed from the weight is the number of all non-repeated vehicles contained in the interval.

The whole network passenger transport turnover amount is the passenger transport turnover amount of each line in the same day. The calculation rule is as follows: sum of the individual line passenger riding distances.

The load intensity of the whole network is the passenger transport intensity of each line on the same day. The calculation rule is as follows: the whole network passenger transportation turnover volume/whole network line operation mileage on the same day.

The whole-network passenger transport intensity is the passenger transport intensity of each line on the same day. The calculation rule is as follows: the passenger capacity of each line/the operation mileage of each line on the same day.

The full load rate of the whole network interval is that each line is nearly 5 minutes, and the full load rate of each interval is obtained. The calculation rule is as follows: and the interval full load rate = interval passenger flow volume/interval transport capacity.

The full-network train full-load rate is measured based on the number of train persons in the train interval, the train interval full-load rate, the maximum train full-load rate and the train average full-load rate. The number of train interval persons in each train interval is 5 minutes of the whole network, and the calculation rule is as follows: the number of passengers in a train in one interval is determined, and 5 minutes may pass through two intervals, so that the values in the two intervals may be different. Data was output once for 5 minutes. One interval for one data.

The train interval full load rate is nearly 5 minutes of the full load rate of each train interval in the whole network. The calculation rule is as follows: and dividing the number of passengers in the train section by the rated number of passengers on the line according to the number of passengers in the train section.

The maximum full load rate of the train is the maximum full load rate of each train section of the whole network in about 5 minutes. The calculation rule is as follows: and recording the maximum number of passengers in the section of the train, and dividing the number by the line limit number. This value may reach a maximum value during peak hours.

The average train loading rate is the average loading rate of each train section of the whole network in about 5 minutes. The calculation rule is as follows: the sum of the number of passengers in the section where the train passes is divided by the number of the section, and then divided by the number of credit.

According to the method for determining the operation adjustment scheme, the current passenger flow index data of the whole network line and the specific index data contained in the train capacity index data are determined under the condition that the current line is a plurality of lines in the whole network, and a foundation is provided for determining the specific data of the operation adjustment scheme of the whole network line according to the index data.

In one embodiment, the prediction data corresponding to the index data is determined based on the same historical time data of the index data.

When the corresponding prediction data of the current index data is determined, the data at the same historical moment of the current index data can be obtained, and the prediction data corresponding to the current index data is determined according to the data at the subsequent moment of the data at the same historical moment.

According to the method for determining the operation adjustment scheme, the prediction data corresponding to the index data is determined according to the data at the same historical moment of the index data, and a basis is provided for the subsequent simulation of the operation diagram according to the index data and the prediction data.

Fig. 2 is a schematic structural diagram of an operation adjustment scheme determination apparatus provided in the present invention, and as shown in fig. 2, the apparatus includes:

the overrun index data determining module 210 is configured to obtain index data of a line in rail transit, compare the index data with a preset index threshold of the index data, and determine overrun index data in the index data, where the index data includes passenger flow index data and train capacity index data;

an operation diagram adjusting module 220, configured to determine multiple operation diagram adjusting manners of the line based on the overrun index data, and adjust an original operation diagram of the line based on the multiple operation diagram adjusting manners to obtain multiple adjusted operation diagrams of the line;

a scheme determining module 230, configured to input the index data and the prediction data corresponding to the index data into the multiple adjusted operation diagrams respectively, so as to obtain multiple operation adjustment schemes of the line.

The determining device for the operation adjustment scheme provided by the embodiment of the invention determines a plurality of adjustment modes of the original operation diagram by determining the overrun index data in the rail transit line. And determining a plurality of adjusted running charts of the line based on the determined plurality of adjustment modes, thereby realizing the real-time adjustment of the running charts aiming at the real-time line running state. The index data and the prediction data are input into the multiple adjusted operation diagrams to obtain multiple operation adjustment schemes of the line, so that the corresponding operation adjustment schemes can be automatically and quickly determined according to real-time operation conditions, and reference is provided for subsequent scheduling personnel to determine the operation adjustment schemes.

In one embodiment, the overrun indicator data determination module 210 is specifically configured to:

the comparing the index data with a preset index threshold of the index data to determine overrun index data in the index data includes:

In one embodiment, the overrun indicator data determination module 210 is further specifically configured to:

the passenger flow index data includes: at least one of an inbound passenger flow volume, an outbound passenger flow volume, a transfer passenger flow volume, a traffic outbound volume, a number distribution of people at a waiting time, a number of waiting times, a number of people at a waiting time, and an instantaneous passenger flow volume;

the train capacity index data includes: at least one of passenger volume, instantaneous passenger volume, regional capacity, passenger traffic volume, load intensity, passenger traffic intensity, regional full load rate, train full load rate, and station distribution volume.

after the index data of the line in the rail transit is obtained, the method further comprises the following steps:

in a case where the line is a single line, the passenger flow index data in the index data includes: the system comprises a line arrival passenger flow volume, a line departure passenger flow volume, a line transfer station passenger flow volume, a line traffic departure volume, a line waiting time number distribution, a line waiting number and a line instantaneous passenger flow volume;

the train capacity index data in the index number comprises: the system comprises a line passenger traffic volume, a line section transport capacity, a line passenger traffic turnover volume, a line load intensity, a line passenger traffic intensity, a line section full load rate, a line train full load rate and a line station distribution volume.

in the case that the line is a full network line, the passenger flow index data in the index data includes: the system comprises a whole-network station entering passenger flow volume, a whole-network station exiting passenger flow volume, a whole-network transfer station passenger flow volume, a whole-network traffic traveling volume, a whole-network waiting time passenger number distribution and a whole-network instantaneous passenger flow volume;

the train capacity index data in the index number comprises: the system comprises the following components of the whole-network passenger traffic volume, the whole-network instantaneous passenger traffic volume, the whole-network section transport capacity, the whole-network passenger traffic turnover volume, the whole-network load intensity, the whole-network passenger traffic intensity, the whole-network section full load rate and the whole-network train full load rate.

In one embodiment, the scheme determining module 230 is specifically configured to:

the prediction data corresponding to the index data is determined based on the same historical time data of the index data.

Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor) 310, a communication Interface (communication Interface) 320, a memory (memory) 330 and a communication bus 340, wherein the processor 310, the communication Interface 320 and the memory 330 communicate with each other via the communication bus 340. The processor 310 may call logic instructions in the memory 330 to perform a method of determining a running adjustment scheme, the method comprising:

In addition, the logic instructions in the memory 330 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In another aspect, the present invention also provides a computer program product, the computer program product including a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, when the program instructions are executed by a computer, the computer being capable of executing the method for determining an operation adjustment scheme provided by the above methods, the method including:

and inputting the index data and the prediction data corresponding to the index data into the plurality of adjusted operation diagrams respectively to obtain a plurality of operation adjustment schemes of the line.

In still another aspect, the present invention also provides a non-transitory computer readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to execute the method for determining an operation adjustment scheme provided in the foregoing aspects, the method including:

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A method for determining an operational adjustment scheme, comprising:

2. The method for determining an operation adjustment scheme according to claim 1, wherein the comparing the index data with a preset index threshold of the index data to determine overrun index data in the index data includes:

3. The method of determining an operation adjustment scheme according to claim 1, wherein the passenger flow index data comprises: at least one of an inbound passenger flow volume, an outbound passenger flow volume, a transfer passenger flow volume, a traffic outbound volume, a number distribution of people at a waiting time, a number of waiting times, a number of people at a waiting time, and an instantaneous passenger flow volume;

4. The method for determining an operation adjustment scheme according to claim 1, wherein after the obtaining of the index data of the route in the rail transit, the method further comprises:

in a case where the line is a single line, the passenger flow index data in the index data includes: the system comprises a line arrival passenger flow volume, a line departure passenger flow volume, a line transfer passenger flow volume, a line traffic departure volume, a line waiting time number distribution, a line waiting number distribution and a line instantaneous passenger flow volume;

5. The method for determining an operation adjustment scheme according to claim 1, wherein after the obtaining of the index data of the route in the rail transit, the method further comprises:

in the case that the line is a full network line, the passenger flow index data in the index data includes: the system comprises a whole-network station-entering passenger flow volume, a whole-network station-exiting passenger flow volume, a whole-network transfer passenger flow volume, a whole-network traffic outgoing volume, a whole-network waiting time passenger number distribution and a whole-network instantaneous passenger flow volume;

6. The method for determining an operation adjustment recipe according to claim 1, wherein the prediction data corresponding to the index data is determined based on the same historical time data of the index data.

7. An apparatus for determining an operational adjustment scheme, comprising:

the system comprises an overrun index data determination module, a data processing module and a data processing module, wherein the overrun index data determination module is used for acquiring index data of a line in rail transit, comparing the index data with a preset index threshold of the index data and determining overrun index data in the index data, and the index data comprises passenger flow index data and train capacity index data;

the operation diagram adjusting module is used for determining a plurality of operation diagram adjusting modes of the line based on the overrun index data, and adjusting an original operation diagram of the line based on the operation diagram adjusting modes to obtain a plurality of adjusted operation diagrams of the line;

8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for determining an operation adjustment scheme according to any one of claims 1 to 6 when executing the computer program.

9. A non-transitory computer-readable storage medium, on which a computer program is stored, the computer program, when being executed by a processor, implementing the method for determining an operation adjustment scheme according to any one of claims 1 to 6.

10. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the method for determining an operational adjustment scheme according to any one of claims 1 to 6.