EP4476119A1 - Geisterzugerkennung - Google Patents
GeisterzugerkennungInfo
- Publication number
- EP4476119A1 EP4476119A1 EP23713602.3A EP23713602A EP4476119A1 EP 4476119 A1 EP4476119 A1 EP 4476119A1 EP 23713602 A EP23713602 A EP 23713602A EP 4476119 A1 EP4476119 A1 EP 4476119A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- track section
- rail vehicle
- marking
- free
- ghost
- 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
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L21/00—Station blocking between signal boxes in one yard
- B61L21/10—Arrangements for trains which are closely following one another
-
- 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
- B61L23/04—Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
- B61L23/041—Obstacle detection
-
- 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
-
- 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
- B61L27/40—Handling position reports or trackside vehicle data
Definitions
- the invention relates to a method for detecting ghost trains as part of the operation of a railway track system.
- ghost train means a rail vehicle whose existence on the track system is not known on the track side, for example on the control section or signal box side, and which is therefore also unknown to the rail vehicles known to be traveling on the railway track system.
- the invention is based on the object of specifying a method for ghost train detection that enables simple ghost train detection using a track section monitoring device.
- the method provides that a track section is monitored for its occupancy status with a track section monitoring device having a signal processing time and reported as free or occupied, before a rail vehicle enters the track section reported as free or after driving out of the track section the area between the rail vehicle and a visually recognizable marking attached to the track section or at one end of the track section is monitored with at least one camera and the track section and the area between the marking and the rail vehicle are reported as free of ghost trains if both for a specified Minimum observation period that is at least as long as the signal processing time Track section monitoring device is, camera signals from the camera show the area between the rail vehicle and the marking as unoccupied and at least when the minimum observation period has expired, the track section monitoring device reports the track section as free.
- a significant advantage of the method according to the invention is that it enables reliable ghost train detection even at high speed of the rail vehicle and when the signal processing time of the track section monitoring device is long, since the section between the track section and the rail vehicle is monitored for the minimum observation period provided for in the invention.
- the markings are each provided with an identification symbol that identifies the marking or the track section and at least when the camera signals detect two or more markings, the identification characters are evaluated.
- the identification characters can, for example, include or be formed by one- or two-dimensional codes such as QR codes.
- the track section is equipped with a first marking at a first end and a second marking at its other second end.
- a marking at each end is particularly advantageous if the length of the track section is very long. At For short track sections, a single marking may be sufficient under certain circumstances if it is visible both before entering the track section and after leaving the track section.
- the first marking is preferably provided with a first identification symbol and the second marking with a second identification symbol.
- the track section and the area between the second marking are recognized as such based on an evaluation of the second identification symbol and the rail vehicle will be reported as free of ghost trains if the camera signals show the area between the rail vehicle and the second marking as unoccupied for the minimum observation period and the track section monitoring device reports the track section as free at least when the minimum observation period has expired.
- the camera or at least one of the cameras can be a trackside camera that carries out trackside monitoring.
- the camera or at least one of the cameras is attached to the rail vehicle and the route monitoring is at least also carried out on the vehicle side.
- the area between the rail vehicle and the marking is also monitored at least with a camera attached to the rail vehicle.
- the markings do not necessarily have to be arranged within the track section or exactly at the other ends, but the distance between each of the markings and the assigned track section should not be greater than the shortest relevant train length of conceivable ghost trains, i.e. ghost trains that may be present on the track system.
- the markings are independent of the direction of travel or are visible in every direction of travel; this enables the o. g. first marking when driving out of the track section can be used as a second marking in the sense of the above explanations and the second marking can also be used as a first marking when driving into the track section.
- an image processing device is present which is designed to detect camera signals from at least one camera before a rail vehicle enters a track section monitoring device as being released. reported track section or after leaving the track section with regard to the section between the rail vehicle and a visually recognizable marking attached to the track section or at one end of the track section and to report the area between the marking and the rail vehicle as clear if the Camera signals indicate the area between the rail vehicle and the marking as unoccupied, and otherwise report it as occupied using a train detection signal.
- the ghost train detection device comprises a signal processing device which is designed in such a way that it observes a status signal of the track section monitoring device indicating the occupancy status of the track section for a predetermined minimum observation period, which is at least as long as the signal processing time of the track section monitoring device, and ghost train detection on the basis of both the output signal of the image processing device, i.e. a train detection signal, as well as the status signal of the track section monitoring device.
- the ghost train detection device is designed to carry out the ghost train detection methods described above.
- the signal processing device is designed in such a way that it reports the track section and the area between the rail vehicle and the marking as free of ghost trains if the image processing device displays the area between the rail vehicle and the marking as unoccupied and for the specified After a certain minimum observation period, the track section monitoring device reports the track section as free.
- the signal processing device is designed in such a way that it reports the track section and the area between the rail vehicle and a marking that has already been passed in the direction of travel as free of ghost trains if, for the minimum observation period, the image processing device sees the area between the rail vehicle and the marking as indicates unoccupied and the track section monitoring device reports the track section as free at least when the minimum observation period has expired.
- FIG. 1 shows an exemplary embodiment of a railway track system, which is used to explain the task of ghost train detection
- FIG. 2-3 an exemplary embodiment of a rail vehicle according to the invention, which is equipped with an exemplary embodiment of a ghost train detection device according to the invention, when traveling towards a track with a track. section monitoring device and track section equipped with two markings,
- FIG. 4-5 exemplary embodiments of ghost train detection devices according to the invention
- FIGS. 2 and 3 shows the rail vehicle according to FIGS. 2 and 3 after leaving the track section
- Figure 7 shows the rail vehicle according to Figures 2 and 3 as it travels towards a track section equipped with a single marking
- FIGS. 8 shows the rail vehicle according to FIGS. 2 and 3 as it travels towards a section of track that is equipped with markings that have identification symbols.
- Figure 1 shows a railway track system 10, of which a track section 20 is shown in more detail in Figure 1.
- the track section 20 is spatially delimited by a first end 21, which is on the left in FIG. 1, and a second end 22, which is on the right in FIG. 1.
- a first axle counter 31 is arranged in the area of the first end 21 of the track section 20 and a second axle counter 32 is arranged at the second end 22 of the track section 20.
- the two axle counters 31 and 32 are connected to a counting device 33, which evaluates the counting results of the two axle counters 31 and 32 and determines the occupied status of the track section 20 based on the evaluation results.
- a status signal ZS indicating the respective occupied state is output by the counting device 33 .
- the addition The status signal ZS therefore indicates in each case whether the track section 20 is occupied by one or more rail vehicles or is free of vehicles.
- the two axle counters 31 and 32 and the counting device 33 form a track section monitoring device 30 of the railway track system 10.
- the counting device 33 and thus the track section monitoring device 30 are connected to a trackside communication device 40, which transmits the status signal ZS of the counting device 33 via radio or in another way to rail vehicles traveling on the railway track 10, for example to a reference in FIG Rail vehicle marked with sign 50 can transmit.
- the rail vehicle 50 moves towards the track section 20 along a direction of travel F.
- the trackside communication device 40 can, for example, form part of a signal box or a control center or the like.
- the rail vehicle 50 can in principle alone or. determine without further external information whether there is a ghost train 60 in front of it, viewed in the direction of travel F, as soon as it approaches the track section reported as free by the track section monitoring device 30.
- the term ghost train 60 is understood here to mean a rail vehicle whose existence on the track system 10 is not known on the control section or signal box side and of which the rail vehicle 50 is therefore also unaware.
- Such a ghost train detection can be based solely on the observation of the status signal ZS, since the ghost train 60 traveling in front would cause a signal change in the status signal ZS from “free” to “occupied” before the rail vehicle 50 itself enters the track section 20 and triggers the signal change.
- the problem is that the track section monitoring device 30 requires a certain signal processing time Tv in order to generate the status signal ZS and output it on the output side.
- Tv signal processing time
- a total delay time Tg can be expected, which is composed, for example, of Tv and Tu according to
- the delay Tu is usually significantly smaller than the signal processing time Tv, so that at least approximately:
- the rail vehicle 50 can therefore only reliably detect a ghost train 60 traveling in front of it on the basis of a signal change in the status signal ZS if it approaches the track section 20 very slowly, and so slowly that there is a signal change in the status signal ZS a free message results in an occupancy message before the rail vehicle 50 itself enters the track section 20 and triggers a signal change itself.
- the maximum speed that the rail vehicle 50 may have to detect a ghost train shortly before entering the track section 20 is calculated as follows:
- V Lr/Tg
- V the speed of the rail vehicle 50
- Lr the shortest possible relevant train length of the ghost train 60
- Tg the total delay time between entry of the ghost train 60 into the track section 20 and the reception of the corresponding signal change of the status signal ZS in the rail vehicle 50.
- the relevant train length Lr results from the total train length Lg of the ghost train 60 minus the front overhang (when the ghost train 60 enters the track section 20) between the front end of the ghost train 60 and the position of the frontmost axle of the ghost train 60.
- the rail vehicle 50 must maintain this low speed V on a route whose length corresponds to the relevant train length Lr of the ghost train 60 before the start of the track section 20.
- the rail vehicle 50 In order to enable the rail vehicle 50 to carry out ghost train detection even at higher speeds, the rail vehicle 50 according to FIG 60 and a rear and rear-facing camera 82, viewed in the direction of travel F, for ghost train detection of a ghost train traveling behind.
- the two cameras 81 and 82 are connected to an on-board ghost train detection device 90, which evaluates the camera signals from the two cameras 81 and 82 and, taking into account the respective status signal ZS or signal changes in the status signal ZS indicate the presence or absence of a ghost train 60.
- the track section 20 is equipped with a first marking 71, which is arranged in the area of the first end 21 of the track section 20, and a second marking 72, which is arranged in the area of the second end 22 of the track section 20.
- the two markings 71 and 72 make it possible to easily recognize the beginning and end of the track section 20 visually.
- the ghost train detection device 90 is preferably designed in such a way that it monitors the front area of the rail vehicle 50 with the front camera 81 while traveling in the direction of the track section 20. If it recognizes the first marking 71, it can check the area B between the first marking 71 and its own rail vehicle 50 for the presence of another vehicle or of a ghost train 60 and generate an output signal AS on the output side, which if necessary. indicates the existence of the ghost train 60, as shown by way of example in FIG. 2.
- the ghost train detection device 90 cannot yet conclude from the status signal ZS and the camera signals from the front camera 81 that the ghost train 60 is actually missing and no final determination has been made in this regard.
- the problem is again the signal processing time Tv of the track section monitoring device 30 already mentioned above and - if available to a relevant extent - the delay times of other devices such as the trackside communication device 40, which lead to a delayed transmission of the status signal ZS from the track section 20 to the rail vehicle 50 lead .
- the ghost train detection device 90 In order to ensure that the ghost train detection device 90 does not overlook a ghost train 60, it will extend the evaluation of the camera signals from the front camera 81 to a predetermined minimum observation period Tmin, which is at least as long as the signal processing time Tv of the track section monitoring device 90 and preferably If necessary, further delays Ts caused by other devices are also taken into account, provided that the latter are not negligibly small. So it applies
- the minimum observation period Tmin is calculated based on the signal processing time Tv of the track section monitoring device 90
- Tmin (1+k) * Tv where k denotes a margin value of, for example, between 0.1 and 0.5.
- the ghost train detection device 90 of the rail vehicle 50 now determines that for the predetermined minimum observation period Tmin, the front area B between the rail vehicle 50 and the first marking 71 is free of ghost trains and within this minimum observation period Tmin there is no change in the status signal ZS from "clearance” to " "Occupied message” has occurred, it can conclude that there is no ghost train 60 ahead of its own rail vehicle 50, and it can accordingly output a corresponding output signal AS, which indicates the absence of a ghost train 60.
- the ghost train detection device 90 will output a corresponding output signal AS, which indicates the presence of a ghost train 60.
- the rail vehicle 50 can theoretically travel at a speed V according to
- the described ghost train detection device 90 makes it possible to carry out reliable ghost train detection even at relatively high driving speeds by evaluating the status signal ZS of the track section monitoring device 30 and by additionally evaluating the camera signals from the cameras 81, since the signal processing time Tv of the track section monitoring device 30 or the total delay time Tg, which depends on this, is taken into account by providing the described minimum observation period Tmin.
- FIG. 4 shows an exemplary embodiment of a ghost train detection device 90, which can be used in the rail vehicle 50 according to FIGS. 2 and 3.
- the ghost train detection device 90 includes an image processing device 91, the camera signals KS of the two cameras 81 and 82 of the rail vehicle 50, and a signal processing device 92 downstream of the image processing device 91.
- the image processing device 91 generates a marking recognition signal MZ on the output side as soon as the first marking 71 is recognized.
- the image processing device 91 determines that there is a ghost train 60 in the area B between the rail vehicle 50 and the first marking 71 (see FIG. 2), it also generates a train detection signal ZES.
- the marking detection signal MZ and, if applicable, the train detection signal ZES are forwarded to the signal processing device 92, which, when the marking detection signal MZ and the train detection signal ZES are present, generates an output signal AS, which indicates the presence of the ghost train 60 in area B, i.e. between the rail vehicle 50 and the first marking 71 .
- the signal processing device 92 monitors the status signal ZS of the track section monitoring device 30 for a predetermined minimum observation period Tmin, which is at least as long as the signal processing time Tv of the track section monitoring device 30 is .
- the minimum observation period Tmin is started with the generation or started with the presence of the marking recognition signal MZ.
- the signal processing device 92 reports the track section 20 as being free of trains with the output signal AS.
- the signal processing device 92 concludes from this that before the minimum observation period Tmin or Before the start of observation (i.e. before the presence of the marking recognition signal MZ), the ghost train 60 had entered the track section 20, as shown in FIG. Accordingly, the signal processing device 92 reports the detected ghost train 60 traveling ahead and generates a corresponding output signal AS on the output side.
- the signal processing device 92 ensures that the signal processing time Tv of the track section monitoring device 30 cannot hide a ghost train 60 traveling ahead.
- FIG. 5 shows a further exemplary embodiment of a ghost train detection device 90, which can be used in the rail vehicle 50 according to FIGS. 2 and 3.
- the ghost train detection device 90 according to FIG. 5 comprises a computing device 910 and a memory 920.
- An image processing module 91a is stored in the memory 920, which, when executed by the computing device 910, forms an image processing device 91, as in the case of has been explained in an exemplary manner in connection with FIG. 4.
- a signal processing module 92a is stored in the memory 920, which, when executed by the computing device 910, forms a signal processing device 92, as explained in connection with FIG. 4.
- the computing device 910 and the memory 920 can form an autonomous ghost train detection device 90 in the rail vehicle 50.
- the image processing module 91a and the signal processing module 92a are stored in a memory of a vehicle control unit, the computing device of which carries out ghost detection as an additional function when the two modules 91a and 92a are executed, as explained above by way of example.
- FIGS. 2 to 5 shows an example of the operation of the ghost train detection device 90 according to FIGS. 2 to 5 after the rail vehicle 50 has moved out of the track section 20 in order to detect a ghost train 60 traveling behind.
- the area B between the second marking 72 and the rail vehicle 50 is monitored with the aid of the rear camera 82.
- the ghost recognition device 90 observes the area between the second marking 72 and the rail vehicle 50 for the minimum observation period Tmin already explained.
- the ghost train detection device 90 observes the status signal ZS of the track section monitoring device 30.
- the ghost train detection device 90 concludes that the track section 20 and the The area between the second marking 72 and the rail vehicle 50 is free of ghost trains and generates a corresponding output signal AS.
- the ghost train detection device 90 concludes that the rail vehicle 50 has a ghost train 60 follows and generates a corresponding output signal AS.
- FIG. 7 shows a track section 20 which is equipped with a single marking 70.
- ghost recognition is also possible with just a single marking 70, analogous to the above embodiments with two markings 71 and 72; The observation is simply carried out using the same marking 70 both when entering the track section 20 and after driving out of the track section 20. Otherwise, the above explanations apply accordingly in connection with FIGS. 1 to 6.
- the markings are each provided with an identification symbol II or 12 are provided, as shown by way of example in Figure 8. Match recognized identification symbols or their markings do not match the markings of the next one (before entering). or (after driving out) the last track section 20, the corresponding markings are preferably ignored or not used for ghost train detection.
- the identification characters II and 12 can advantageously be formed by or include QR codes.
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Train Traffic Observation, Control, And Security (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102022202752.3A DE102022202752A1 (de) | 2022-03-21 | 2022-03-21 | Geisterzugerkennung |
| PCT/EP2023/056914 WO2023180203A1 (de) | 2022-03-21 | 2023-03-17 | Geisterzugerkennung |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| EP4476119A1 true EP4476119A1 (de) | 2024-12-18 |
| EP4476119B1 EP4476119B1 (de) | 2026-01-28 |
| EP4476119C0 EP4476119C0 (de) | 2026-01-28 |
Family
ID=85776143
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP23713602.3A Active EP4476119B1 (de) | 2022-03-21 | 2023-03-17 | Geisterzugerkennung |
Country Status (4)
| Country | Link |
|---|---|
| EP (1) | EP4476119B1 (de) |
| CN (1) | CN118843579A (de) |
| DE (1) | DE102022202752A1 (de) |
| WO (1) | WO2023180203A1 (de) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102023209607A1 (de) * | 2023-09-29 | 2025-04-03 | Siemens Mobility GmbH | Verfahren zum Betreiben eines spurgebundenen Verkehrssystems |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070170315A1 (en) * | 2006-01-20 | 2007-07-26 | Gedalyahu Manor | Method of detecting obstacles on railways and preventing train accidents |
| DE102006029845B4 (de) | 2006-06-27 | 2009-06-04 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Vorrichtung und Verfahren zur Absicherung von Streckenabschnitten eines segmentierten Fahrweges für einen schienengebundenen Fahrzeugverband |
| DE102017209926A1 (de) | 2017-06-13 | 2018-12-13 | Siemens Aktiengesellschaft | Verfahren zum Betreiben eines spurgebundenen Verkehrssystems |
| DE102018210326A1 (de) | 2018-06-25 | 2020-01-02 | Siemens Aktiengesellschaft | Verfahren und Einrichtung zum Erkennen hinterherfahrender Fahrzeuge |
| DE102019212177A1 (de) * | 2019-08-14 | 2021-02-18 | Siemens Mobility GmbH | Verfahren und Streckenzentrale zum Betreiben einer Schienenstrecke |
-
2022
- 2022-03-21 DE DE102022202752.3A patent/DE102022202752A1/de not_active Withdrawn
-
2023
- 2023-03-17 CN CN202380029005.4A patent/CN118843579A/zh active Pending
- 2023-03-17 EP EP23713602.3A patent/EP4476119B1/de active Active
- 2023-03-17 WO PCT/EP2023/056914 patent/WO2023180203A1/de not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| CN118843579A (zh) | 2024-10-25 |
| EP4476119B1 (de) | 2026-01-28 |
| DE102022202752A1 (de) | 2023-09-21 |
| EP4476119C0 (de) | 2026-01-28 |
| WO2023180203A1 (de) | 2023-09-28 |
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