JPH11129902A - Train operation arrangement support device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To realize an effective operation arrangement by assuming a promising operation result at the time of detecting a delay in train operation caused. SOLUTION: In a train operation arrangement support device 1, when a delay is generated in a train operation before receiving an operation result data R, a delay generation is detected at a delay detection data 14 and a delay detection result promising data P1 is generated at a result promising data generator 16 and when the delay state by a commander is inputted from a delay promosing input part 15, a set result promising data P2 is generated at the result promising data generator 16 in response to the delay state. In a operation estimation part 11, an estimated diamond is prepared based on the data selected out of the operation result data R, the delay detection result promising data P1 and the set result promising data P2 and indicated on a estimation diamond indicator 12 and a practical diamond for a regulated running is corrected at a practical diamond correction part 13.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a train rescheduling support apparatus for correcting a train schedule and performing rescheduling when train operation is disturbed, and more particularly to predicting a train operation delay situation. The present invention relates to a train rescheduling support device that corrects the timetable and performs effective rescheduling.

[0002]

2. Description of the Related Art In general, a train operation rescheduling support device is a device for assisting operation rescheduling for restoring a train operation according to a schedule when a train operation is disrupted.
As a conventional train operation rearranging support device, for example, as shown in FIG. 5, an operation schedule D output in advance according to an operation plan to an operation control device 6, and operation result data output from the operation control device 6 An operation prediction unit 51 that receives R, and creates a prediction diagram representing future operation prediction from the execution diagram D and the operation result data R in consideration of the train operation restrictions.
And a prediction diagram display section 52 for displaying the prediction diagram,
The execution schedule D is modified by an instructor to adjust the execution schedule D for re-arranging the operation while referring to the displayed prediction schedule. here,
The operation control device 6 controls the various devices according to the execution schedule D (signal control, route control, etc.) to operate the train, and, along with the train running, based on information obtained from train position detecting means such as a track circuit. This captures events such as station arrivals and station departures (station arrival / departure result information) and converts the events into data, and outputs the data as operation result data R to the train operation arrangement support device 5.

[0003] Such a conventional train operation arrangement support device 5
Will be described with reference to the flowchart of FIG. The train operation rescheduling support device 5 executes step 510 in FIG.
And the same shall apply hereinafter). The operation result data R is fetched from the operation control device 6.
In, a predicted timetable is created from the currently executed timetable D and the operation result data R, and displayed on the predicted timetable display unit 52.

[0004] Then, in step 530, the commander checks the displayed predicted timetable and determines whether or not it is a situation that requires rescheduling. If rescheduling is necessary, it is first checked in step 540 whether or not the modification of the execution schedule has been completed.
Then, the instructor modifies the execution diagram D by the execution diagram correction unit 53 to create a traffic schedule diagram.

[0005] In this manner, the operation prediction based on the correction result of the execution schedule D and the latest operation result data R is repeated. The schedule is transferred to the operation control device 6 and is reflected in the train operation. Here, the operation of the operation prediction unit 51 will be specifically described. Based on the arrival time and departure time of the train at each station obtained as the operation result data R, the running time between train stations, the stop time of the station, Calculate the estimated time of arrival and departure at each station by adding the time required for operation, such as the time of the return at the last station, and the time corresponding to the space that must be secured between trains to ensure safety Create a diamond.

[0006] For example, when the operation result data R (point a and the solid line) with the arrival delay at the station B is obtained with respect to the schedule of execution of the plan (dotted line) as shown in FIG.
In 51, a departure time at which a required stop time at the B station is secured is calculated, and a predicted timetable (one-dot chain line) after the B station is created based on the travel time between stations. In addition, a prediction schedule in which a safe train interval is secured for the subsequent train is created based on the prediction schedule.

[0007]

By the way, in the above-mentioned conventional train operation rearranging support apparatus 5, the prediction timetable is created by using the actually detected train arrival time and departure time at each station. If a train stops due to a railroad crossing obstacle between stations, the train delay time is not known until the train resumes operation and arrives at the station to obtain the arrival time. Similarly, delay information when the train stopped at the station does not depart even after the departure time due to a vehicle failure, a signal failure, or the like is obtained as actual data only when the train can depart.

Therefore, when the operation of the train is disturbed and it is necessary to prepare an operation schedule, the time when the operation result data R including the delay information is obtained is always later than the time when the train delay occurs. The reflection of the train delay on the schedule is delayed. As a result, the longer the delay time of the train, the lower the accuracy of the traffic control, and there is a problem that the effect of recovering the disturbance of the train operation cannot be sufficiently obtained.

SUMMARY OF THE INVENTION The present invention has been made in view of the above-mentioned problems, and a train operation coordination support device which realizes effective operation coordination by assuming expected operation results when detecting occurrence of a delay in train operation is provided. The purpose is to provide.

[0010]

SUMMARY OF THE INVENTION Accordingly, the present invention provides a method for determining the delay status of a train determined on the basis of a predetermined execution schedule and operation results data actually detected for a train operated in accordance with the execution schedule. The train operation reconciliation support device, comprising: operation prediction means for generating a prediction diagram in response thereto; and timetable correction means for correcting the execution diagram for operation reconciliation with reference to the prediction diagram. Delay detection means for detecting the occurrence of a delay in train operation by not obtaining the corresponding operation result data by the delay determination reference time determined according to A delay detection result expected data generating means for generating delay detection result expected data on the assumption that the corresponding operation result data is obtained after a predetermined time has elapsed. The operation prediction unit, in which a configuration to create a prediction diamonds on the basis of the execution diamond and the delay detection results expected data.

According to this configuration, when a delay occurs in the train operation, the occurrence of the delay is detected by the delay detecting means before the delay state is actually detected as the operation result data, and the delay time is accordingly determined. Delay detection actual result data assuming that the operation actual data is detected after the lapse has been generated by the delay detection actual result data generating means. And, until the operation result data is obtained,
An operation schedule is created by the operation prediction means on the basis of the expected delay detection result data and the execution schedule, and further, the execution schedule is corrected by the schedule correction means while referring to the prediction schedule, and a schedule for the scheduled operation is created. Become like

In addition, the delay detection actual result data generating means may generate the delay detection actual result data for a predetermined time period after the delay occurrence is detected by the delay detecting means until the corresponding operation actual data is obtained. It is configured to be updated every elapse. According to such a configuration, a prediction diagram is created based on the latest delay detection result expectation data updated every elapse of a predetermined time.

[0013] Further, the train operation rearranging support device may include a delay prospect input means for inputting a delay situation which can be determined before the operation result data is detected, and a delay prospect input by the delay prospect input means. And a setting result expectation data generating means for generating the setting result expectation data based on the setting result.
The operation prediction means may be configured to create a prediction diagram based on the execution diagram and at least one of the delay detection result prediction data and the set result prediction data.

According to this configuration, when the delay situation determined before the detection of the operation result data is input through the delay expectation input means, the set result expectation data is generated based on the delay situation. Until the operation result data is obtained, the operation prediction unit creates a prediction diagram based on at least one of the delay detection result estimation data and the set result estimation data and the execution diagram.

[0015] In addition, the operation prediction means sets priorities for the operation result data, the delay detection result expected data, and the set result expected data, respectively.
The prediction schedule is created based on the data selected according to the priority and the execution schedule. According to such a configuration, a prediction diagram is created using the data with the highest priority among the actual data in which the priorities are set.

[0016]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing the configuration of the train operation rescheduling support device of the present embodiment. In FIG.
The train rescheduling support device 1 outputs an execution schedule D predetermined according to an operation plan to the operation control device 2 and inputs operation result data R as operation result information output from the operation control device 2. A delay detecting unit 14 having an output relationship and detecting a delay in train operation, a delay detecting unit 14 as a delay detecting unit for inputting a delay situation, and a delay detecting unit 15 Based on the performance forecast data generation unit 16 that generates the forecast data P1 and the set performance forecast data P2, the train operation delay based on the operation performance data R, the delay detection performance forecast data P1, the configuration actual forecast data P2, and the execution schedule D, An operation prediction unit 11 as an operation prediction means for creating a prediction diagram representing future operation prediction according to the situation, a prediction diagram display unit 12 for displaying the prediction diagram, Fixed execution diamond D for performing organize configured to include an execution diamonds correction unit 13 as diamonds correction means is performed by the dispatcher with reference to the prediction diamonds displayed, the.

The delay detector 14 detects the occurrence of a delay in train operation based on the execution schedule D and the operation result data R, and outputs the result to the expected result data generator 16 as described later. The expected delay input unit 15 is, for example, when the input of the delay status of the train operation is performed by the operation of the commander,
The input information is output to the expected performance data generator 16.
The input of the delay status is performed when the arrival time, departure time, etc. of the delayed train at the station are known in advance.

The expected performance data generation unit 16 includes a delay detection unit
In response to the detection of the occurrence of the delay in 14, the delay detection result anticipation data P1 which is the operation result data expected according to the delay is generated. Further, in response to the input information from the expected delay input unit 15, it generates set actual result data P2 which is expected operation actual data according to the delay situation. Then, the generated delay detection result expected data P1 and the set result expected data P2 are output to the operation prediction unit 11, respectively. Here, the expected performance data generator 16 functions as a delay detection expected performance data generator and a set expected performance data generator.

The operation prediction unit 11 selects the most suitable data for performing the operation prediction by executing the employment determination process described later for the operation result data R, the delay detection result expected data P1, and the set result expected data P2. , Create a forecast diagram using the selected data. The prediction diagram display unit 12, the execution diagram correction unit 13, and the operation control device 2 are the same as the prediction diagram display unit 52, the execution diagram correction unit 53, and the operation control device 6 of the above-described conventional device.

Next, the operation of this embodiment will be described with reference to the flowchart of FIG. First, although not shown in FIG. 2, the operation control device 2 includes the train operation
The train operation is performed by performing traffic light control, route control, and the like in accordance with the execution schedule D from the station, and the operation result data R obtained by converting the station arrival / departure result information actually detected by the track circuit or the like as the train travels into data. Is output to the train traffic rescheduling support device 1 at any time.

Then, the train operation rearranging support device 1 is configured as shown in FIG.
In step 10, when the operation result data R is output from the operation control device 2, the operation result data R is fetched and used as input data of the delay detection unit 14 and the operation prediction 11. In step 20, the delay detection unit 14 performs a delay occurrence detection process of the train operation based on the execution schedule D and the operation result data R, and when the delay occurrence is detected, in step 30, the expected result data generation unit 16 , Delay detection result expectation data P1 is created.

Here, the processing in the delay detection unit 14 and the expected performance data generation unit 16 will be described in detail. The operation result data R is sent from the operation control device 2 as needed each time an event of arrival or departure of a train station is actually detected as described above. Therefore, the actual arrival time of the train operating as planned is input to the delay detection unit 14 at substantially the same time as the estimated arrival time determined by the execution schedule D. However, if a delay occurs in the train operation, as shown in FIG. 3A, the actual operation data R cannot be obtained even at the scheduled arrival time. Therefore, as shown in FIG. 3 (b), the delay detection unit 14 regards a case where the operation result data R cannot be obtained even after a certain time td has elapsed from the estimated arrival time, as a delay occurrence. However, the time td takes into account that there is a slight time lag between arrival and departure of the train station. Time to expected arrival time
The time obtained by adding td is the reference time for delay determination (indicated by the dashed line in the figure).

When the occurrence of a delay is detected, the expected performance data generator 16 creates expected delay detection data P1 corresponding to the occurrence of the delay, as shown in FIG. 3 (c).
Although the operation result data R from the operation control device 2 is not obtained from the operation control device 2 at the current time due to the train delay, the operation result data R1 Is the expected result data created on the assumption that the time tf is obtained. Here, it represents the time obtained by adding the time tf to the current time.

If the situation in which the operation result data R is not input continues, the latest detection result estimation data P1 is updated every time the time tf elapses, so that the latest train delay state is reflected in the operation prediction described later. Is done. Next, in step 40, the delay status input by the dispatcher is input to the expected delay input section 15
It is determined whether or not the setting has been performed through the process. If there is an input of the delay status, the expected performance data generation unit 16 creates the set expected performance data P2 in step 50. The set result expectation data P2 is created based on the input arrival time and departure time of the delayed train and the like, taking into account each required time related to train travel.

Then, in step 60, a predicted timetable is created in the operation prediction unit 11, and displayed on the predicted timetable display unit 12. Here, there are three types of actual data used for creating a forecast diagram in the operation predicting unit 11, the above-described operational actual data R, delay detection actual estimated data P1, and set actual estimated data P2. Which one of them is adopted is determined according to the nature of each performance data.

More specifically, the operation result data R is used with the highest priority because it is past data for which results have already been obtained. In the remaining delay detection result expected data P1 and setting result expected data P2, the setting result expected data P2 based on the knowledge and judgment of the instructor has priority. Here, the delay detection result expectation data P1 is effective when the arrival / departure time of the delayed train at the station is uncertain. That is, the adoption priorities of the respective result data are as follows. (Operating result data R> Setting actual result data P2> Delay detection actual result data P1) The above-described actual data adoption determination process is performed, for example, by the following method. As shown in FIG. 4, a data storage area represented by a set of a result time and a type code indicated by one result data used for creating a prediction diagram is prepared, and when new result data is created, the result time is set. And the type code are written in the data storage area. However, writing to this storage area is performed in accordance with a predetermined write restriction logic.
For example, assuming that the write restriction logic is such that "result data having a type code smaller than the value of the currently stored type code is not overwritten" or the like, the type code of the operation result data R is 2, as shown in FIG. By allocating the type code of P2 to 1 and the type code of the delay detection actual result data P1 to 0, it becomes possible to use the actual time selected in accordance with the above-mentioned adoption priority for the prediction diagram creation.

When the predicted timetable is created in this way and displayed on the predicted timeline display section 12, the commander checks the displayed predicted timetable in step 70 as in the conventional case, To determine if the situation is necessary. If traffic rescheduling is necessary, it is first checked in step 80 whether or not the correction of the execution schedule has been completed. D is modified to create a traffic schedule diagram plan. Then, the operation prediction based on the correction result of the execution diagram D and the latest operation result data R is repeated,
When the adjustment of the execution schedule D is completed and the operation scheduling diagram is formed, in step 100, the operation scheduling diagram is transferred to the operation control device 2 and reflected on the train operation.

As described above, according to the present embodiment, when the delay detection section 14 detects the occurrence of a train operation delay, the delay detection result expected data P1 is generated and reflected in the prediction schedule creation. In comparison with the conventional case where a predicted timetable is created using only the actual operation data R delayed in time, an effective traffic control that reflects the delay status of the train at an early stage can be performed. Early recovery of the disturbance is feasible. In addition, since the estimated delay detection result data P1 is updated every predetermined time tf, the operation prediction is performed based on the latest data, so that more accurate driving arrangement is possible.

Further, when the delay status is input by the commander in the delay expectation input section 15, the set result expectation data P2
Is generated and reflected in the prediction diagram creation, because the information obtained by the dispatcher or the expected actual data based on the experience and knowledge of the dispatcher will be considered,
Operational control with even higher accuracy is possible. In addition, the operation prediction unit 11 can be realized with a simple logical configuration by providing priorities to the three types of actual data and selectively using them.

In the above-described embodiment, both the delay detection actual estimation data P1 and the set actual estimation data P2 are generated as the actual estimation data. However, only the delay detection actual estimation data P1 is generated. It does not matter. Also, the case where the instructor corrects the execution diagram while referring to the displayed prediction diagram has been described. However, the present invention is not limited to this. For example, the execution diagram is automatically corrected according to the created prediction data. Such applications are also possible.

[0031]

As described above, according to the first aspect of the present invention, when the occurrence of a delay in train operation is detected by the delay detecting means, the delay detection result expected data is generated and reflected in the prediction schedule creation. By doing so, it is possible to perform an effective traffic control that reflects the delay status of the train at an early stage, and it is possible to recover the disturbance of the train operation at an early stage.

Further, the invention described in claim 2 is the same as that in claim 1
In addition to the effects of the invention described in (1), since the delay detection result expected data is updated every elapse of a predetermined time, the operation prediction is performed based on the latest delay detection result expected data, so that more accurate Can be arranged. Further, in addition to the effect of the above-mentioned invention, the invention according to claim 3 is characterized in that the setting result expected data is generated in response to the input of the delay situation by the delay expected input means and reflected in the prediction diagram creation. Then, the operation prediction is performed based on more information on the delay situation, so that the driving arrangement can be performed with higher accuracy.

The invention described in claim 4 is the same as the invention in claim 3.
In addition to the effects of the invention described in (1), priority is given to the operation result data, the delay detection result estimation data, and the setting result estimation data, and the operation is performed with simple logic by selectively using it for creating a forecast diagram. Predicting means can be configured.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of an embodiment of the present invention.

FIG. 2 is a flowchart illustrating an operation of the embodiment.

FIG. 3 is a diagram illustrating delay detection and expected performance data generation processing of the embodiment.

FIG. 4 is a diagram for explaining performance data adoption determination processing of the embodiment.

FIG. 5 is a block diagram showing a configuration of a conventional train operation rearranging support device.

FIG. 6 is a flowchart illustrating the operation of a conventional train operation rescheduling support device.

FIG. 7 is a diagram illustrating an operation of a conventional operation prediction unit.

[Explanation of symbols]

 1 Train operation arrangement support device 2 Operation control device 11 Operation prediction unit 12 Prediction diagram display unit 13 Execution schedule correction unit 14 Delay detection unit 15 Delay estimation input unit 16 Result estimation data generation unit D Execution diagram R Operation actual data P1 Delay detection actual Estimated data P2 Setting actual expected data

Claims (4)

[Claims] An operation prediction means for generating a prediction schedule according to a predetermined execution schedule and a delay state of the train determined on the basis of operation result data actually detected for a train operated according to the execution schedule. And a schedule correction means for correcting the execution schedule for rescheduling with reference to the predicted schedule, in a train operation rescheduling support device comprising: a delay determination reference time determined according to the execution schedule. By the time, delay detection means for detecting occurrence of a delay in train operation by not obtaining the corresponding operation result data, and when the delay occurrence is detected by the delay detection means, after a lapse of a predetermined time, the corresponding operation result And delay detection actual result data generating means for generating delay detection actual result data on the assumption that data is obtained. A train operation reconciliation support device, wherein a predicted timetable is created based on ears and the delay detection result expected data. 2. A method according to claim 1, wherein said delay detection result expectation data generation means generates the delay detection result expectation data for a predetermined time period after the delay occurrence detection by the delay detection means until the corresponding operation result data is obtained. The train operation reorganization support device according to claim 1, wherein the train operation reorganization support device is configured to be updated every elapse. 3. An expected delay input means for inputting a delay situation which can be determined before the operation result data is detected,
A set result expectation data generating means for generating set result expectation data based on the delay situation input by the delay expectation input means, wherein the operation forecasting means includes the execution schedule, the delay detection result expectation data, and 3. The train operation reconciliation support device according to claim 1, wherein a predicted timetable is created based on at least one of the set result expected data. 4. The operation prediction means sets priorities for the operation result data, the delay detection result expected data, and the set result expected data, respectively, and the data selected in accordance with the priorities and the execution schedule are set. The train operation reconciliation support device according to claim 3, wherein a prediction schedule is created based on the train schedule.