CN112977546A - Track traffic train tracking interval shrinking and changing adjustment control method - Google Patents
Track traffic train tracking interval shrinking and changing adjustment control method Download PDFInfo
- Publication number
- CN112977546A CN112977546A CN201911279336.5A CN201911279336A CN112977546A CN 112977546 A CN112977546 A CN 112977546A CN 201911279336 A CN201911279336 A CN 201911279336A CN 112977546 A CN112977546 A CN 112977546A
- Authority
- CN
- China
- Prior art keywords
- tracking interval
- train
- curve
- interval
- station
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 42
- 230000009467 reduction Effects 0.000 claims abstract description 30
- 238000004904 shortening Methods 0.000 claims abstract description 11
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000012795 verification Methods 0.000 claims description 10
- 230000008859 change Effects 0.000 claims description 9
- 238000013461 design Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 8
- 238000005259 measurement Methods 0.000 description 5
- 230000009466 transformation Effects 0.000 description 3
- 101100069049 Caenorhabditis elegans goa-1 gene Proteins 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000035484 reaction time Effects 0.000 description 2
- 239000010959 steel Substances 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
- B61L23/08—Control, warning or like safety means along the route or between vehicles or trains for controlling traffic in one direction only
- B61L23/14—Control, warning or like safety means along the route or between vehicles or trains for controlling traffic in one direction only automatically operated
- B61L23/18—Control, warning or like safety means along the route or between vehicles or trains for controlling traffic in one direction only automatically operated specially adapted for changing lengths of track sections in dependence upon speed and traffic density
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/20—Trackside control of safe travel of vehicle or train, e.g. braking curve calculation
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses a track traffic train tracking interval scaling adjustment control method, which comprises the following steps: determining a tracking interval expected value of a station of the rail transit; calculating a series of train operation curves of the stations, and calculating to obtain an expected reduction value of the tracking interval between the stations based on the train operation curves and the expected value of the tracking interval; determining a line area to be adjusted, of which the tracking interval is to be reduced, based on an expected reduction value of the inter-station tracking interval; selecting a measure for shortening the tracking interval in the line area to be adjusted; updating a train operation curve based on the selected measures; and verifying the tracking interval shrinkage result. According to the method for adjusting and controlling the shrinking and changing of the track traffic train tracking interval, the implementation process of adjusting and controlling the track traffic train tracking interval is simple and easy, and the method can assist professionals in selecting and implementing various measures so as to accurately realize the shrinking and changing adjustment of the tracking interval, and effectively improve the operation capacity and efficiency of a track traffic line.
Description
Technical Field
The invention relates to the field of rail transit, in particular to a track interval shrinking, changing and adjusting control method of a rail transit train.
Background
In the field of rail transit, the train full load rate and the minimum running interval are core indexes reflecting the running capacity of a rail transit line. Wherein, the train full load rate refers to the ratio of the actual passenger capacity of the train to the number of the train passengers, and the unit is%. The minimum driving interval is the departure time interval of two trains in average in the peak hour of the line, and the unit comprises minutes and seconds.
Taking the train full load rate as an example, incomplete statistics is carried out until 2018, and in 30 domestic rail transit operation cities, the full load rate of partial lines of 16 cities exceeds 100%. Especially in Beijing, Shanghai and Guangzhou. 15 of the Beijing 20 lines exceed 100 percent, wherein the maximum is over 143 percent. 9 lines in the 15 lines in the Shanghai exceed 100 percent, and the maximum of the 9 lines is 139 percent. 6 lines of 14 lines in Guangzhou exceed 100%, and the maximum is more than 143%. The net overall ride experience is crowded.
Taking the minimum driving interval as an example, incomplete statistics is carried out until 2018, such as 103 seconds of Taibei, 113 seconds of hong Kong, 115 seconds of Shanghai, 120 seconds of Beijing and 118 seconds of Guangzhou in China; foreign paris 85 seconds, moscow 90 seconds, london 106 seconds. Compared with steel wheel and steel rail system, although Paris adopts 6-marshalled rubber wheel rail system to improve the adhesion of wheel rails, the rubber wheel rail system has larger promotion space in China.
Practical operation experience shows that when the passenger flow on the line tends to increase rapidly or is basically stable, the minimum running interval is reduced, and the increase speed of the train full load rate can be effectively controlled or the train full load rate is reduced accordingly. Therefore, reducing the minimum driving interval is one of the key means to solve the problem of insufficient operation capability of the line. The minimum driving interval is mainly determined by the turn-back interval, the bifurcation/confluence interval, and the following interval. By means of line distribution adjustment, operation route optimization, equipment performance improvement and the like, the turn-back interval and the bifurcation/convergence interval are gradually reduced, and the tracking interval becomes a main bottleneck point for limiting the further reduction of the minimum driving interval.
The tracking interval refers to the interval time between the front ends of two trains running on the same route in the same direction and passing through the same place of the route. In a station area, if the train stop time is longer, the tracking interval is difficult to be reduced. For example, by changing the wiring of the station, changing the position of the station and the like, the method has the problems of high transformation cost, long transformation period, high transformation difficulty and the like.
Therefore, it is highly desirable to design a method for adjusting and controlling the tracking interval of a rail transit train, so as to effectively improve the operation capability, and to fully exploit the management and equipment potential, thereby assisting professionals in providing an effective system solution and effectively improving the operation capability of rail transit lines.
Disclosure of Invention
The invention provides a new method for adjusting and controlling the tracking interval of a rail transit train in order to overcome the defect that the tracking interval of the train in the existing rail transit is not easy to be properly and effectively adjusted to improve the operation efficiency of the rail transit.
The invention solves the technical problems by adopting the following technical scheme:
the invention provides a shrinking adjustment control method for a tracking interval of a rail transit train, which is characterized by comprising the following steps of:
determining a tracking interval expected value of a station of rail transit according to operation parameters of the rail transit;
calculating a series of train operation curves of a station by adopting a train operation calculation tool, and calculating an inter-station tracking interval expected reduction value based on the train operation curves and the tracking interval expected value, wherein the train operation curves are a speed-distance curve or a time-distance curve and an inter-train distance curve at the same horizontal position and are used for representing the existing operation condition of the train;
thirdly, determining a to-be-adjusted line area of the rail transit with the tracking interval to be reduced based on the expected reduction value of the tracking interval between the stations;
step four, selecting at least one measure from the following six measures to shorten the tracking interval in the line area to be adjusted:
the first measure is as follows: the station stopping time is shortened;
the second measure is as follows: shortening traction starting delay and/or stopping judgment delay;
the third measure is as follows: the guarantee emergency braking rate is improved;
the fourth measure is as follows: improving the ATO operation braking rate;
the fifth measure is as follows: increasing the speed limit setting;
the sixth measure: encrypting and laying a responder;
step five, updating the train operation curve based on the measures selected in the step four;
and step six, verifying the shrinkage and variation result of the tracking interval based on the updated train operation curve.
According to some embodiments of the invention, in the first step, the operation parameters of the rail transit include passenger flow change of a station, operation adjustment of a train, operation passing scheme, number of available trains, train type and/or length.
According to some embodiments of the invention, the second step comprises: calculating an ATO (automatic train operation) curve, an ATO target speed curve and a tracking interval curve of a station interval of a station, and further calculating to obtain an expected reduction value of the inter-station tracking interval of the station based on the maximum value of the tracking interval curve and the expected tracking interval value, wherein the ATO operation curve and the ATO target speed curve are speed-distance curves respectively, and the tracking interval curve is a time-distance curve;
the third step comprises: and determining an inter-station line region with the maximum value of the tracking interval curve being greater than the expected tracking interval value as the line region to be adjusted.
According to some embodiments of the invention, the second step further comprises: and calculating a vehicle head running curve and a safe parking curve between station sections of the stations, wherein the vehicle head running curve is a time-distance curve, and the safe parking curve is a distance curve between the vehicle and the front vehicle at the same horizontal position.
According to some embodiments of the invention, the fourth step further comprises:
setting priorities for the six measures, selecting the measures from the six measures according to the priorities, and then executing the step five.
According to some embodiments of the invention, the sixth step further comprises:
and after verification, if the verification result shows that the current tracking interval exceeds the expected tracking interval value and reaches a preset verification threshold, returning to the fourth step to select other measures.
According to some embodiments of the present invention, the method further comprises performing the fourth to sixth steps a plurality of times to calculate a result of scaling the tracking interval by each measure, and generating an optimal measure combination satisfying the expected value of the tracking interval according to the calculation result.
According to some embodiments of the invention, the fourth means includes increasing the ATO interval operating braking rate and increasing the ATO station-parking operating braking rate.
According to some embodiments of the invention, the third means comprises:
correcting the emergency braking rate of the dry rail guarantee in the design stage aiming at the dry rail circuit;
aiming at the wet rail line, a closed structure is additionally arranged around the rail to form a closed space similar to a dry rail line, so that the emergency braking rate of the wet rail guarantee is improved.
According to some embodiments of the invention, the sixth means comprises:
and passive transponders are additionally arranged among the transponders originally arranged in the train to shorten the envelope of the head and the tail of the train.
On the basis of the common knowledge in the field, the above preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows:
according to the method for adjusting and controlling the shrinking of the track traffic train tracking interval, the implementation process of adjusting and controlling the track traffic train tracking interval is simple and easy, and technical means such as shortening station stop time, limiting speed of local sections accurately, arranging transponders in local sections in an encrypted manner and the like can be selected and implemented by professionals, so that shrinking adjustment of the tracking interval is accurately realized, and the operation capacity and efficiency of a track traffic line are effectively improved.
Drawings
Fig. 1 is a schematic view of inter-station train operation correlation curves involved in a track interval zooming adjustment control method of a rail transit train according to a preferred embodiment of the present invention.
Fig. 2 is a schematic diagram of train operation curves showing how to determine a route region to be adjusted, which is involved in a track interval change adjustment control method of a rail transit train according to a preferred embodiment of the present invention.
Fig. 3 is a schematic diagram of a train operation curve showing a distance between a front train and a rear train at an original guaranteed emergency braking rate involved in the method for controlling the tracking interval of a rail transit train to be adjusted in a shrinking manner according to the preferred embodiment of the present invention.
Fig. 4 is a schematic diagram of a train operation curve showing a distance between a front train and a rear train after optimizing a guaranteed emergency braking rate involved in the method for controlling the track interval change adjustment of a rail transit train according to a preferred embodiment of the present invention.
Fig. 5 is a schematic diagram of train operation curves of a local area speed limiting measure involved in the track interval zooming adjustment control method of a rail transit train according to a preferred embodiment of the present invention.
Fig. 6 is a schematic diagram of a train operation curve in which a unified speed limit is applied to a local area speed limit measure involved in a track interval zooming adjustment control method of a rail transit train according to a preferred embodiment of the present invention.
Fig. 7 is a schematic diagram of an ATO target speed curve for calculating an unexpected section deceleration in the local area speed limiting measure involved in the track interval scaling adjustment control method of the rail transit train according to the preferred embodiment of the present invention.
Fig. 8 is an ATO target speed limit complete curve formed in the local area speed limit measure involved in the track interval scaling adjustment control method of the rail transit train according to the preferred embodiment of the present invention.
Fig. 9 is a schematic diagram of the distance between the front train and the rear train under the original train envelope of the unencrypted transponder to be arranged in the tracking interval shrinking and adjusting control method of the rail transit train according to the preferred embodiment of the invention.
Fig. 10 is a schematic diagram of the distance between the front and the rear trains after the train envelope is optimized by using the encrypted layout transponder measure, which is involved in the method for controlling the tracking interval of the rail transit train by the zooming adjustment according to the preferred embodiment of the present invention.
Detailed Description
The following detailed description of the preferred embodiments of the present invention, taken in conjunction with the accompanying drawings, is intended to be illustrative, and not restrictive, and any other similar items may be considered within the scope of the present invention.
In the following detailed description, directional terms, such as "left", "right", "upper", "lower", "front", "rear", and the like, are used with reference to the orientation as illustrated in the drawings. The components of various embodiments of the present invention can be positioned in a number of different orientations and the directional terminology is used for purposes of illustration and is in no way limiting.
The method for adjusting and controlling the tracking interval of the rail transit train according to the preferred embodiment of the invention comprises the following steps:
determining a tracking interval expected value of a station of rail transit according to operation parameters of the rail transit;
calculating a series of train operation curves of the station by adopting a train operation calculation tool, and calculating to obtain an expected reduction value of the tracking interval between stations based on the train operation curves and the expected tracking interval value, wherein the train operation curves are a speed-distance curve, a time-distance curve and an inter-train distance curve at the same horizontal position and are used for representing the existing operation condition of the train;
thirdly, determining a to-be-adjusted line area of the rail transit with the tracking interval to be reduced based on the expected reduction value of the tracking interval between stations;
step four, selecting at least one measure from the following six measures to shorten the tracking interval in the circuit area to be adjusted:
the first measure is as follows: the station stopping time is shortened;
the second measure is as follows: shortening traction starting delay and/or stopping judgment delay;
the third measure is as follows: the guarantee emergency braking rate is improved;
the fourth measure is as follows: improving the ATO operation braking rate;
the fifth measure is as follows: increasing the speed limit setting;
the sixth measure: encrypting and laying a responder;
step five, updating the train operation curve based on the measures selected in the step four;
and step six, verifying the shrinkage and variation result of the tracking interval based on the updated train operation curve.
The train operation curve may be a speed-distance curve, a time-distance curve, or an inter-train distance curve at the same horizontal position, where the distance may be a distance from the same reference point, or a distance between the vehicle and the preceding vehicle, such as a distance from the head of the vehicle to the tail of the preceding vehicle.
Optionally, in the step one, the operation parameters of the rail transit include passenger flow change at a station, operation adjustment of a train, an operation traffic scheme, the number of available trains, train type and length, and the like. It should be understood that the tracking interval expectation value should be set reasonably, and a tracking expectation value that is too small is likely to be unattainable.
The operation cross road is a section of a line where the train runs back and forth from the starting station to the terminal station.
According to some preferred embodiments of the present invention, referring to fig. 1-2, step two comprises: an ATO (Automatic Train Operation) Operation curve, an ATO target speed curve and a tracking interval curve of a station interval of a station are calculated, and then an expected reduction value of the inter-station tracking interval of the station is calculated based on a maximum value of the tracking interval curve and an expected value of the tracking interval, wherein the ATO Operation curve and the ATO target speed curve are respectively a speed-distance curve, the tracking interval curve is a time-distance curve, and the curves mentioned herein can be referred to as shown in fig. 1.
Wherein the ATO target speed is a speed at which the train is expected to continue to operate. The ATO subsystem of the train operation control system controls the operation speed of the train to slightly fluctuate above and below the ATO target speed.
The third step comprises: and determining the inter-station line region of which the maximum value of the tracking interval curve is greater than the expected value of the tracking interval as the line region to be adjusted, as shown in fig. 2. That is, the inter-station tracking interval of the line region to be adjusted is desirably narrowed by a value > 0.
Optionally, step two further includes: and calculating a vehicle head running curve and a safe parking curve between the station sections of the stations, wherein the vehicle head running curve is a time-distance curve, and the safe parking curve is a distance curve between the vehicle and the front vehicle at the same horizontal position.
According to some preferred embodiments of the present invention, step four further comprises:
setting priorities for the six measures, selecting the measures according to the priorities, and then executing the step five.
For example, the priorities of the various measures for shortening the tracking interval can be defined according to actual conditions, and the shortening effects of the various measures on the tracking interval are sequentially calculated according to the sequence from high to low of the priorities until the expected value of the tracking interval is met or the error from the expected value of the tracking interval is minimum.
According to some preferred embodiments of the present invention, step six further comprises:
and after verification, if the verification result shows that the current tracking interval exceeds the expected tracking interval value and reaches a preset verification threshold value, returning to the step four to select other measures.
According to some preferred embodiments of the present invention, the method further comprises performing steps four to six a plurality of times to calculate a result of scaling the tracking interval by the various measures, and generating an optimal measure combination satisfying a desired value of the tracking interval according to the calculation result.
Correspondingly shortening the station stopping time according to the expected reduction value of the tracking interval or the residual reduction amount of the expected reduction value, then calculating the tracking interval after the station stopping time is shortened, and finally comparing and judging the tracking interval with the expected reduction value of the tracking interval or the residual reduction amount of the tracking interval. It should be noted how much the station-stop time is shortened and the tracking interval is correspondingly shortened.
According to some alternative embodiments of the invention, the means for shortening the stop time may be implemented for the time of three components of the stop time, namely the equipment working time, the management working time, the passenger boarding and alighting time.
For example, it is directed to reducing equipment operation time. The measures of linking the vehicle door and the platform door, improving the performance of the vehicle door and the platform door and the like can be taken, and the equipment reaction and the opening and closing time of the vehicle door and the platform door are shortened. For example, the most efficient automatic opening and closing door and the linkage with the platform door can be shortened to 10 s.
For example, it is directed to shortening the management job time. For a non-full-automatic driving line, the operation time of a train driver on a platform can be shortened by means of measures such as simplifying the operation flow of an operation department, making a standard operation rule of the train driver and the like. The saving of 2-7 s per station can be achieved.
The non-fully-automatic driving line means that the ATO automatic operation grades of the line are GoA 0, GoA 1 and GoA 2.
The ATO automatic operation class (Grades of Automation, GoA) is divided into five, etc., according to the definition of the International Union of public transportation:
zeroth, etc. (GoA 0): the visual operation is mainly used by road trams and light rails.
First grade (GoA 1): and the driver is responsible for controlling the running and stopping of the train, opening and closing the train door and handling emergencies.
Second etc. (GoA 2): semi-automatic Train Operation (STO), which automatically operates and stops a Train, requires a driver to open and close a door and handle an emergency. Most automatic train operation systems are the second, etc.
Third, etc. (GoA 3): a Driverless Train Operation (DTO), a Train automatically operates and stops, but requires Train assistants to open and close doors or handle emergencies.
Fourth, etc. (GoA 4): unattended Operation (UTO), automatic Operation and stopping of the Train, opening and closing of the Train door and handling of emergency events are all fully automatic, and Unattended Operation is carried out on the Train.
For example, to shorten passenger boarding and alighting time. According to the passenger flow data of the station and the field experience of the operation department, the time for passengers to get on or off the bus at the station with lower passenger flow is properly shortened.
The traction start delay and the stop stability judgment delay related in the second measure belong to the statistical range of the train running time between stations and do not belong to the statistical range of the stop time. The traction start delay is the delay time from the traction command sent by the train operation control system to the train speed not being 0km/h, and the stability stopping judgment delay is the delay time from the detection of the train speed being 0km/h by the train operation control system to the completion of the pressure maintaining brake applied to the train. The two times can be shortened by improving the reaction performance of the train operation control system and the vehicle equipment, and can be shortened to 3.5-5 s generally.
And correspondingly shortening the traction starting delay and the stopping judgment delay according to the expected reduction value or the residual reduction amount of the tracking interval, calculating the tracking interval after the traction starting delay and the stopping judgment delay are shortened, and finally comparing and judging the tracking interval with the expected reduction value or the residual reduction amount of the tracking interval. It should be noted that the traction start-up delay and the stopping stability determine how much the delay is shortened, and the tracking interval is correspondingly shortened.
According to some preferred embodiments of the present invention, in the selection of the measure, the guaranteed emergency braking rate (absolute value, the same applies below) may be increased according to the expected reduction value of the tracking interval or the remaining reduction amount thereof, and then the tracking interval after the guaranteed emergency braking rate is increased is accurately calculated by using the train operation calculation tool, and then the tracking interval is compared with the expected reduction value of the tracking interval or the remaining reduction amount thereof.
The guaranteed emergency braking rate is divided into a dry rail (underground line) guaranteed emergency braking rate and a wet rail (ground and overhead line) guaranteed emergency braking rate, and the value of the dry rail guaranteed emergency braking rate is large.
The guaranteed emergency braking rate is the emergency braking rate of the train under the condition of the worst factors determined by the comprehensive environmental factors, line conditions, adhesion conditions, equipment, fault factors and the like and expected to be acceptable. For example, the emergency braking rate is 1.3m/s2And the dry rail guarantee emergency braking rate is 0.95m/s2The wet rail guarantee emergency braking rate is 0.78m/s2。
For example, for a dry rail line, a field measurement mode can be adopted to correct the dry rail guarantee emergency braking rate determined in the design stage so as to improve the dry rail guarantee emergency braking rate. For the wet rail line, a closed space can be formed by adding a canopy and other measures around the rail, and the closed space is regarded as a dry rail line, so that the contact surface between the wheels and the rail is kept dry when the train enters the region, the adhesion between the wheels and the rail is increased, and the emergency braking rate of the wet rail is improved.
By increasing the guaranteed emergency braking rate, the distance between the front and rear trains is shortened under the condition that the running speed of the train is kept unchanged, as shown in fig. 3-4. Thus, the interval time between the front ends of the front and rear vehicles passing the same point on the route is also synchronously shortened, that is, the tracking interval is shortened.
According to some preferred embodiments of the present invention, according to the expected reduction value of the tracking interval or the remaining reduction amount thereof, the improvement value of the ATO operation braking rate is precisely calculated, then the tracking interval after the ATO operation braking rate is improved is precisely calculated by using a train operation calculation tool, and finally the tracking interval is compared and judged with the expected reduction value of the tracking interval or the remaining reduction amount thereof.
The ATO operation braking rate can be divided into two types, such as an ATO interval operation braking rate (absolute value, the same below; for example, a high ATP (Automatic Train Protection) roof speed section enters a low ATP roof speed section) and an ATO stop operation braking rate (absolute value, the same below; for example, a solid platform and a virtual platform enter and stop).
Among these, the ATP roof speed is the speed that the ATP subsystem guarantees that the train must not exceed under the worst conditions.
For example, in a route area larger than the expected tracking interval value, it is determined whether a high ATP top speed section enters a low ATP top speed section, a physical platform or a virtual platform, and the like, and the type of ATO operation braking rate required to be adjusted respectively is determined.
For example, if only a physical platform or a virtual platform enters the station and stops, the operation braking rate of the ATO station needs to be adjusted; if the situation that the high ATP top speed section enters the low ATP top speed section, the physical platform or the virtual platform to enter the station and stop the station exists at the same time, the operation braking rate of the ATO interval and the operation braking rate of the ATO stop station need to be respectively adjusted.
In the value range of the { ATO interval operation braking rate, the maximum train braking rate a }, setting step length 1 (for example 0.05m/s2) and increasing the ATO interval operation braking rate; and (3) within the value range of the { ATO stop operation braking rate and the maximum train braking rate x b }, setting step length 2 (for example 0.01m/s2), increasing the ATO stop operation braking rate, and calculating a corresponding tracking interval. Wherein a and b are error confidence coefficients between the train braking rate command and the actual braking rate, for example, the value range is [ 0.05, 0.95 ].
The fifth measure involved in the above method, i.e. the increase of the speed limit setting, or the line local area speed limit measure, will be exemplified below with reference to fig. 5-8.
For example, the measure of increasing the speed limit of the local area of the line can be implemented by the following method:
substep (1) determining the position of the vehicle head line and the ATO target speed at the starting point of the speed limit area
Acquiring a line position of a line area starting point which is greater than a tracking interval expected value according to the running direction of the train by adopting a train running calculation tool, and taking the line position as a vehicle head line position of the speed-limiting area starting point; determining the ATO target speed of the vehicle in the ATO target speed curve according to the line position, as shown in FIG. 5; proceed to substep (2).
Substep (2) reducing ATO target speed of the vehicle head by large variable step length
And (3) reducing the ATO target speed by a large variable step length 1 (for example, 10km/h) according to the vehicle head line position and the ATO target speed at the starting point of the speed limit area, and turning to the substep.
Substep (3) forming an ATO target speed limit curve
And (4) carrying out unified speed limiting on the head line position of the vehicle at the starting point of the speed limiting area to the line area of the next platform according to the reduced ATO target speed to form an ATO target speed limiting curve, and turning to the substep (4) as shown in figure 6. And for any position in the line area, if the reduced ATO target speed is higher than the original ATO target speed, the original ATO target speed is taken.
Substep (4) determining the position of the front vehicle head
According to the running direction of the train, according to conditions such as a safety brake model [ see IEEE Std1474.1TM-2004 substep (R2009) ], a guaranteed emergency brake rate, system reaction time, basic train resistance, a line gradient and curve, a reduced ATO target speed, a vehicle head line position at the starting point of a speed limit area and the like, the guaranteed emergency brake distance of the vehicle is calculated, a certain safety margin, a vehicle front length and a vehicle front tail envelope are considered, a vehicle front head position is obtained, and the process goes to substep (5) as shown in figure 6.
Substep (5) of quickly calculating the vehicle tracking interval
And (4) calculating the time from the running of the head of the vehicle to the head of the front vehicle according to the running direction of the train, the head line position of the vehicle at the starting point of the speed-limiting area and the ATO target speed-limiting curve, taking the time as a vehicle tracking interval, and turning to the substep (6).
And (6) comparing the tracking interval expected value.
If the requirement is met, the procedure goes to substep (7). If not, go to substep (2) and decrease the ATO target speed again based on the larger variable step size. If the reduced ATO target speeds are less than or equal to 0km/h and do not meet the expected tracking interval value, the higher ATO target speed is selected from the 2 reduced ATO target speeds with the smallest error with the expected tracking interval value, and the substep (7) is carried out.
Substep (7) calculating an ATO target speed curve for unexpected interval deceleration
And (3) taking the reduced ATO target speed of the vehicle as a starting point, calculating an ATO target speed curve of the speed reduction in an unexpected section according to conditions such as the reverse running direction of the train, a reference braking rate, basic train resistance, a line slope, a curve and the like until the ATO target speed is intersected with the original ATO target speed, and turning to a substep (8) shown in figure 7.
Substep (8) forming an ATO target speed limit complete curve
According to the train running direction, replacing the ATO target speed curve from the intersection point of the unexpected interval deceleration ATO target speed curve and the original ATO target speed to the ATO target speed curve of the next station by adopting the unexpected interval deceleration ATO target speed curve and the ATO target speed limit curve to form an ATO target speed limit complete curve, and turning to the substep (9) as shown in figure 8.
Substep (9) of accurately calculating ATO target speed limit
And verifying whether the ATO operation curve meets the expected tracking interval value or not by adopting a train operation calculation tool according to the ATO target speed limit complete curve.
If so, and equal to the tracking interval expected value, go to substep (10).
If the value is satisfied and is smaller than the expected value of the tracking interval, the speed limit value of the ATO target speed is changed within a range of +/-larger variable step length 2 (such as 9km/h) by +/-fixed step length (such as 1km/h), and the changed ATO target speed value needs to be larger than 0km/h, and the substep (4), (7), (8) and the ATO operation curve are adopted to carry out the iterative verification of the tracking interval until the value is satisfied and the error from the expected value of the tracking interval is minimum, and the substep (10) is carried out.
If the value is not satisfied, namely is larger than the expected value of the tracking interval, the speed limit value of the ATO target speed is changed within a range of +/-larger variable step length 2 (such as 9km/h) by +/-fixed step length (such as 1km/h), and the changed ATO target speed value needs to be larger than 0km/h, and the tracking interval is iteratively verified by adopting the sub-steps (4), (7) and (8) and the ATO operation curve until the error between the value and the expected value of the tracking interval is met and is minimum. If the target speed is not satisfied, the speed limit of the ATO target speed having the minimum error from the expected tracking interval value is selected, and the procedure goes to the substep (10).
Substep (10) of calculating a limit speed for the ATP roof speed
The limit speed of the ATP roof speed is synchronously changed. And (3) obtaining the speed limit value of the ATP roof speed corresponding to the speed limit value of the ATO target speed according to conditions such as a safety brake model [ see IEEE Std1474.1TM-2004(R2009) ], a speed limit value of the ATO target speed, a speed measurement error, system reaction time, train basic resistance, a line gradient and curve, an emergency braking rate guarantee, traction cutting and coasting time in the process of guaranteeing the emergency braking rate and the like.
Substep (11) ATS (Automatic Train Supervision) implementation of speed limit
If a non-limiting temporary speed limiting measure is adopted, importing the ATO target speed limit value and the start and end positions of a speed limiting interval into a speed limiting function module of an ATS (Automatic Train Supervision) system, and automatically limiting the speed of the ATS system in real time; or the information is provided for the scheduling, and the scheduling carries out speed-limiting operation on an ATS interface.
The non-limited temporary speed limit is a specific temporary speed limit requirement, and the train can run in the speed limit line section according to the speed value; and the train operation control system controls the train to operate by taking the speed limit value as an ATO target speed, and calculates the ATP top speed according to a system algorithm.
If a temporary speed limit limiting measure is adopted, the speed limit value of the ATP roof and the starting and ending positions of a speed limit interval are led into a speed limit function module of an Automatic Train Supervision (ATS) system, and the ATS system automatically limits the speed in real time; or the information is provided for the scheduling, and the scheduling carries out speed-limiting operation on an ATS interface.
The temporary speed limit is limited by a line temporary speed limit requirement with a safety protection requirement, and the train speed of the line section cannot exceed the speed limit requirement under any condition; and the train operation control system carries out overspeed protection according to the speed limit value, namely the limit value is the ATP roof speed.
A sixth measure, according to some preferred embodiments of the invention, may be to increase the layout density of passive transponders to shorten the train head and tail envelope, see fig. 9 and 10.
In particular, a passive transponder may be typically disposed in the middle of two tracks, and its main role is to correct train position errors due to vehicle speed measurement errors. Because the vehicle-mounted speed measurement error has a positive error (the same as the train running direction) and a negative error (the opposite to the train running direction), the safe length of the train running on the line needs to be increased by certain length margins at the head and the tail of the actual train, namely the envelope of the head and the tail of the train, which is called train envelope for short. Train envelope is the result of on-vehicle speed measurement error accumulation, and when the train passed through passive transponder, train envelope can reduce to 0.5 ~ 2 meters by the biggest several tens meters. The passive transponders are classified into 2 types of transponders,
for American passive transponders, the original 2 passive transponders are usually arranged at an interval of about 150m, and if a passive transponder is additionally arranged between the 2 passive transponders, the envelope of the head and the tail of the train can be shortened by about half. For example: a line area of 500 meters greater than the expected value of the tracking interval requires only about 3 additional passive transponders and the tracking interval can be shortened by about 2 seconds.
For European passive transponders, the original arrangement distance of 2 passive transponders is about 190m, and if a beacon is additionally arranged between the 2 passive transponders, the envelope of the head and the tail of a train can be shortened by about half. For example: a line area of 500 meters greater than the expected value of the tracking interval requires only about 3 additional passive transponders and the tracking interval can be shortened by about 3 seconds.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (10)
1. A track traffic train tracking interval zooming and adjusting control method is characterized by comprising the following steps:
determining a tracking interval expected value of a station of rail transit according to operation parameters of the rail transit;
calculating a series of train operation curves of a station by adopting a train operation calculation tool, and calculating an inter-station tracking interval expected reduction value based on the train operation curves and the tracking interval expected value, wherein the train operation curves are a speed-distance curve or a time-distance curve and an inter-train distance curve at the same horizontal position and are used for representing the existing operation condition of the train;
thirdly, determining a to-be-adjusted line area of the rail transit with the tracking interval to be reduced based on the expected reduction value of the tracking interval between the stations;
step four, selecting at least one measure from the following six measures to shorten the tracking interval in the line area to be adjusted:
the first measure is as follows: the station stopping time is shortened;
the second measure is as follows: shortening traction starting delay and/or stopping judgment delay;
the third measure is as follows: the guarantee emergency braking rate is improved;
the fourth measure is as follows: improving the ATO operation braking rate;
the fifth measure is as follows: increasing the speed limit setting;
the sixth measure: encrypting and laying a responder;
step five, updating the train operation curve based on the measures selected in the step four;
and step six, verifying the shrinkage and variation result of the tracking interval based on the updated train operation curve.
2. The scaling adjustment control method according to claim 1, wherein in the first step, the operation parameters of rail transit include passenger flow change of a station, operation adjustment of a train, an operation traffic scheme, the number of available trains, a train type and/or a length.
3. The zoom adjustment control method according to claim 1, wherein the second step includes: calculating an ATO (automatic train operation) curve, an ATO target speed curve and a tracking interval curve of a station interval of a station, and further calculating to obtain an expected reduction value of the inter-station tracking interval of the station based on the maximum value of the tracking interval curve and the expected tracking interval value, wherein the ATO operation curve and the ATO target speed curve are speed-distance curves respectively, and the tracking interval curve is a time-distance curve;
the third step comprises: and determining an inter-station line region with the maximum value of the tracking interval curve being greater than the expected tracking interval value as the line region to be adjusted.
4. The zoom adjustment control method according to claim 3, wherein the second step further comprises: and calculating a vehicle head running curve and a safe parking curve between station sections of the stations, wherein the vehicle head running curve is a time-distance curve, and the safe parking curve is a distance curve between the vehicle and the front vehicle at the same horizontal position.
5. The zoom adjustment control method according to claim 1, wherein the fourth step further comprises:
setting priorities for the six measures, selecting the measures from the six measures according to the priorities, and then executing the step five.
6. The zoom adjustment control method according to claim 5, wherein the sixth step further comprises:
and after verification, if the verification result shows that the current tracking interval exceeds the expected tracking interval value and reaches a preset verification threshold, returning to the fourth step to select other measures.
7. The change adjustment control method according to claim 5, further comprising performing the steps four to six a plurality of times to calculate a change result of each measure to a tracking interval, and generating an optimum measure combination satisfying the desired value of the tracking interval based on the calculation result.
8. The zoom adjustment control method of claim 1, wherein said fourth means comprises increasing an ATO interval operating braking rate and increasing an ATO station shutdown operating braking rate.
9. The change adjustment control method according to claim 1, wherein the third means includes:
correcting the emergency braking rate of the dry rail guarantee in the design stage aiming at the dry rail circuit;
aiming at the wet rail line, a closed structure is additionally arranged around the rail to form a closed space similar to a dry rail line, so that the emergency braking rate of the wet rail guarantee is improved.
10. The change adjustment control method according to claim 1, characterized in that the sixth means includes:
and passive transponders are additionally arranged among the transponders originally arranged in the train to shorten the envelope of the head and the tail of the train.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911279336.5A CN112977546B (en) | 2019-12-13 | 2019-12-13 | Track traffic train tracking interval shrinking and changing adjustment control method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911279336.5A CN112977546B (en) | 2019-12-13 | 2019-12-13 | Track traffic train tracking interval shrinking and changing adjustment control method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112977546A true CN112977546A (en) | 2021-06-18 |
CN112977546B CN112977546B (en) | 2022-11-11 |
Family
ID=76332176
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201911279336.5A Active CN112977546B (en) | 2019-12-13 | 2019-12-13 | Track traffic train tracking interval shrinking and changing adjustment control method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112977546B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113291356A (en) * | 2021-06-24 | 2021-08-24 | 北京交通大学 | Dynamic train tracking interval calculation method |
CN114212124A (en) * | 2021-11-25 | 2022-03-22 | 通号城市轨道交通技术有限公司 | Train main line tracking method and device, electronic equipment and storage medium |
CN114954583A (en) * | 2022-06-14 | 2022-08-30 | 中国铁路通信信号股份有限公司 | CBTC tracking interval simulation method and device |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU1787823C (en) * | 1989-12-07 | 1993-01-15 | Ташкентский институт инженеров железнодорожного транспорта | Train speed control device |
DE102012202110A1 (en) * | 2012-02-13 | 2013-08-14 | Bayerische Motoren Werke Aktiengesellschaft | Headway- and cruise control system for motor vehicles, has jam identifying device, which determines cause-related jam situation, where presetting device adjusts dynamic parameter corresponding to determined jam situation |
WO2017021095A1 (en) * | 2015-07-31 | 2017-02-09 | Siemens Aktiengesellschaft | Method for optimizing the travel plot for rail vehicles |
CN106777752A (en) * | 2016-12-30 | 2017-05-31 | 华东交通大学 | A kind of bullet train follows the trail of operation curve Optimal Setting method |
CN108725518A (en) * | 2018-04-18 | 2018-11-02 | 中国神华能源股份有限公司 | Heavy haul train tracking interval computational methods, device and heavy haul railway system |
-
2019
- 2019-12-13 CN CN201911279336.5A patent/CN112977546B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU1787823C (en) * | 1989-12-07 | 1993-01-15 | Ташкентский институт инженеров железнодорожного транспорта | Train speed control device |
DE102012202110A1 (en) * | 2012-02-13 | 2013-08-14 | Bayerische Motoren Werke Aktiengesellschaft | Headway- and cruise control system for motor vehicles, has jam identifying device, which determines cause-related jam situation, where presetting device adjusts dynamic parameter corresponding to determined jam situation |
WO2017021095A1 (en) * | 2015-07-31 | 2017-02-09 | Siemens Aktiengesellschaft | Method for optimizing the travel plot for rail vehicles |
CN106777752A (en) * | 2016-12-30 | 2017-05-31 | 华东交通大学 | A kind of bullet train follows the trail of operation curve Optimal Setting method |
CN108725518A (en) * | 2018-04-18 | 2018-11-02 | 中国神华能源股份有限公司 | Heavy haul train tracking interval computational methods, device and heavy haul railway system |
Non-Patent Citations (1)
Title |
---|
陈荣武等: "CBTC系统列车追踪间隔计算及优化", 《西南交通大学学报》, vol. 46, no. 04, 31 August 2011 (2011-08-31), pages 1 - 4 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113291356A (en) * | 2021-06-24 | 2021-08-24 | 北京交通大学 | Dynamic train tracking interval calculation method |
CN113291356B (en) * | 2021-06-24 | 2022-06-03 | 北京交通大学 | Dynamic train tracking interval calculation method |
CN114212124A (en) * | 2021-11-25 | 2022-03-22 | 通号城市轨道交通技术有限公司 | Train main line tracking method and device, electronic equipment and storage medium |
CN114212124B (en) * | 2021-11-25 | 2024-06-14 | 通号城市轨道交通技术有限公司 | Train positive line tracking method and device, electronic equipment and storage medium |
CN114954583A (en) * | 2022-06-14 | 2022-08-30 | 中国铁路通信信号股份有限公司 | CBTC tracking interval simulation method and device |
Also Published As
Publication number | Publication date |
---|---|
CN112977546B (en) | 2022-11-11 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112977546B (en) | Track traffic train tracking interval shrinking and changing adjustment control method | |
Tian et al. | System energy optimisation strategies for metros with regeneration | |
US9205851B2 (en) | Speed profile creation device and automatic train operation apparatus | |
CN101909965B (en) | System and method for optimizing power system performance in presence of changing optimization parameters | |
CN112706803B (en) | Automatic subway train rescue adjusting method and system | |
CN104678779A (en) | Tramcar operation simulation system and tramcar operation simulation method | |
CN104401370A (en) | Energy-saving optimization method for cooperative control on multiple trains | |
Li et al. | Dynamic trajectory optimization design for railway driver advisory system | |
CN103963805A (en) | Energy-saving method of train operation of urban mass transit | |
CN109050585A (en) | A kind of high-speed maglev train line track operation aid parking area determines method | |
CN101428619A (en) | Railbus traffic system | |
Zhong et al. | On-line train speed profile generation of high-speed railway with energy-saving: A model predictive control method | |
CN110422206B (en) | Intelligent rail train intersection priority guiding system and method based on negotiation mechanism | |
CN109229160A (en) | Cope with boisterous automatic train control method, device and mobile unit | |
Zhang et al. | An AI based high-speed railway automatic train operation system analysis and design | |
CN105468809B (en) | Design method for subway station wiring and subway plane | |
CN103529703B (en) | Method for the Speed limit curve of train automatic controlling system | |
CN113895487A (en) | Method for adjusting equal-interval travelling crane | |
CN111688760B (en) | Rapid energy-saving optimization method and device for train passing through steep slope section | |
Wang et al. | Optimal trajectory planning for trains under a moving block signaling system | |
CN115180002B (en) | Multi-train operation situation deduction method and device | |
Scheepmaker et al. | Running time supplements: energy-efficient train control versus robust timetables | |
Corapi et al. | A simulation-based approach for evaluating train operating costs under different signalling systems | |
CN110333662B (en) | Pantograph and pantograph network self-adaptive control system and method | |
Li et al. | Research on improved train automatic control strategy based on particle swarm optimization |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |