The invention relates to an automated on-vehicle rail vehicle control system. The invention furthermore relates to a rail vehicle. In addition, the invention relates to a method for the automated control of a rail vehicle.
Rail vehicles have automation systems that are conventionally substantially based on an adaptation of the infrastructure, i.e. the network, in which the rail vehicle moves. With the aid of these systems, measures are taken to safeguard the course of the route against disruptive objects. For example, doors on platforms or sensors for monitoring track clearance in rail stations can be used for this purpose. There is also a significant external influence on the rail vehicles. For this purpose, fixed landmarks in the infrastructure define synchronization points. An automated driving operation is conventionally based on a train protection system with appropriate equipment on the vehicle and in the infrastructure. This type of automated train control always requires an adapted infrastructure to be provided outside the rail vehicles to be controlled. If this is not embodied on a route, autonomous driving is not possible on this route with conventional means.
DE 10 2017 101 505 A1 describes a method for optimizing a driving operation based on route- and position-related data as well as non-route-related data.
WO 2018/104 477 A1 describes a method for lane identification. An image recording unit is used to identify a lane.
Therefore, the object is to disclose an automated control system for a rail vehicle and a corresponding automated control method that require less effort and can be used more flexibly than conventional systems.
This object is achieved by an automated on-vehicle rail vehicle control system as claimed, a rail vehicle as claimed, and a method for the automated control of a rail vehicle as claimed.
The automated on-vehicle rail vehicle control system according to the invention has an on-vehicle setpoint value specification determination unit, an automated train operating system, a driving and braking unit and additional sensors for acquiring environmental information. The automated on-vehicle setpoint value specification determination unit, for example an automated on-vehicle setpoint value specification determination unit, is configured, on the basis of on-vehicle high-precision position determination and high-precision map data as well as sensor data from the additional sensors, to determine operative setpoint value specifications for the regulation mode and for the current driving mission of the rail vehicle. The driving mission comprises for example stops and stopping times that must be observed during the journey of a rail vehicle. On-vehicle position determination should be understood to be an infrastructure-independent position determination, wherein the sensor technology required for this is comprised by the rail vehicle.
The regulation mode comprises dynamic determination of braking and acceleration setpoints in order to move the vehicle according to the driving mission and the external environmental situation. The set route (see driving mission) results in a static speed profile. The regulation system must first set the target speed for the vehicle in compliance with these specifications. In addition, dynamic influences, such as, for example, light signal installations, other rail vehicles on the track or even potential obstacles on the route are included in the regulation.
The driving mission comprises a previously defined driving route and optionally schedule data relating to the time sequence. Hence, this is the driving task to be fulfilled by the vehicle. For example, the driving mission comprises the instruction to drive from A to B in compliance with a relative schedule. Herein, a journey should take place at the maximum possible speed and with a stopping time of X seconds. The high-precision position determination can be performed with technical components which, for example, determine a highly precise GPS position (corrected GPS). Furthermore, landmarks, such as, for example, overhead line masts, the course of the track, buildings, etc., serve as comparison points. In this context, the SLAM method is cited by way of example. These features are acquired by the environment sensors on the vehicle. For high-precision position determination, measurement data from these components is furthermore merged. It is possible to use high-precision GPS receivers, inertial sensors, a vehicle odometry system and environment sensors in a combination (merger) suitable for the rail vehicle.
The automated train operating system is configured to generate driving and braking commands on the basis of the setpoint specifications of the on-vehicle setpoint value specification determination unit.
Herein, compliance with a driving profile is taken into account at this level. This driving profile is based on the data for a current driving mission as well as the map data, which comprises information on maximum speeds and distances. It is also possible to determine a particularly energy-efficient driving profile in compliance with the boundary conditions of the current driving mission, such as, for example, defined driving times, etc.
The driving and braking unit is configured to carry out traction and braking operations on the basis of the driving and braking commands determined.
Advantageously, the automated operation of the rail vehicle does not require any adaptations to the route and route infrastructure because the automated on-vehicle rail vehicle control system according to the invention comprises all components necessary for automated operation. Furthermore, the on-vehicle arrangement of the components required for automated driving, preferably autonomous driving, also facilitates mixed operation of automated and manually controlled vehicles since there are no disruptive influences from infrastructural units that control the automated or also autonomous driving.
Another mode of operation is represented by the exchange of information between vehicles. Thus, for example, the vehicles can expand their sensory field of view by incorporating data from other rail vehicles or other vehicles into the journey.
The rail vehicle according to the invention has the automated on-vehicle rail vehicle control system according to the invention. The rail vehicle according to the invention shares the advantages of the automated on-vehicle rail vehicle control system according to the invention.
The method for the automated control of a rail vehicle according to the invention includes an on-vehicle determination of a position of the rail vehicle and an acquisition of environmental information about the environment of the rail vehicle. Furthermore, operative setpoint specifications are determined for the regulation mode and the driving mission of the rail vehicle on the basis of the position determined and high-precision map data. Driving and braking commands are determined on the basis of the setpoint specifications of the on-vehicle setpoint value specification determination unit by an automated train operating system. Finally, traction and braking operations are carried out on the basis of the driving and braking commands determined.
In addition to driving and braking commands, it is also possible to warn other traffic participants. In the simplest case, this can be done by means of a warning bell. However, it is also possible for direct feedback on current planning and driving maneuvers to be provided, for example with the aid of a light strip on the outside of the vehicle, which color-codes states.
Parts of the automated on-vehicle rail vehicle control system according to the invention can be predominantly embodied in the form of software components. This in particular relates to parts of the setpoint value specification determination unit and of the automated train operating system. However, in principle, particularly where particularly fast calculations are involved, these components can also to some extent be implemented in the form of software-supported hardware, for example FPGAs or the like. Likewise, for example if only a transfer of data from other software components is involved, the interfaces required can be embodied as software interfaces. However, they can also be embodied as hardware-based interfaces that are controlled by means of suitable software.
A partially software-based implementation has the advantage that computer systems already previously in use in rail vehicles, which could, for example, be part of an automated control system, for example an autonomous or semi-autonomous control system, can be upgraded in a simple manner by a software update in order to operate in the manner according to the invention. Insofar, the object is also achieved by a corresponding computer program product with a computer program which can be loaded directly into a memory device of such a computer system with program sections for executing all the steps of the method for the automated control of a rail vehicle when the computer program is executed in the computer system.
In addition to the computer program, such a computer program product can optionally comprise additional items, such as, for example, documentation and/or additional components, and also hardware components, such as, for example, hardware keys (dongles etc.) for using the software.
Transportation to the storage device of the computer system and/or for storage on the computer system can take place by means of a computer-readable medium, for example a memory stick, a hard disk or another kind of transportable or integrated data carrier on which the program sections of the computer program which can be read-in and executed by a computer unit are stored. For this purpose, the computer unit may, for example, have one or more interacting microprocessors or the like.
The dependent claims as well as the following description each contain particularly advantageous embodiments and developments of the invention. Herein, in particular the claims of one claim category can be developed analogously to the dependent claims of another claim category and the parts of the description thereof. In addition, it is also possible within the context of the invention for the different features of different exemplary embodiments and claims to be combined to form new exemplary embodiments.
In one preferred embodiment of the automated on-vehicle rail vehicle control system according to the invention, the on-vehicle setpoint value specification determination unit comprises one of the following sensors:
Said sensors can preferably be used in combination. A combination of sensors enables deficits on individual sensor types to be compensated. For example, sliding and skidding effects occur with odometers and satellite-based position determination units experience inaccuracies when traveling through tunnels or wooded landscapes. The use of inertial sensors allows direction detection when passing switches.
In one embodiment of the automated on-vehicle rail vehicle control system according to the invention, the on-vehicle setpoint value specification determination unit comprises a comparison unit for comparing the acquired sensor information with a high-precision route map. Such a high-precision map enables exact identification of relevant route features for both the current position of the vehicle and the further course of a route to be assigned to a driving mission.
These relevant features comprised by the high-precision route may comprise at least some of the following information:
Information on the course of the route also comprises values of gradients on inclines and values of curve radii relevant for the selection of speed or traction power.
In one embodiment of the automated on-vehicle rail vehicle control system according to the invention, a current specification as to how the rail vehicle is to be moved can be determined on the basis of the current local position, the driving mission and the stored map. The local position determined enables a current position of the rail vehicle to be determined on the stored map and the driving mission provides information on the stops on the journey which can likewise be identified on the stored map. Therefore, a route can be determined on the map and specifications for a driving operation of the rail vehicle can be defined on the basis of the relevant features occurring on this route.
Preferably, the information from the imaging system can be used to determine the following information:
Advantageously, the automated on-vehicle rail vehicle control system according to the invention can also perceive information from the environment and take it into account in the current driving profile. For this purpose, the automated on-vehicle rail vehicle control system is equipped with the additional sensors and evaluation units mentioned above. The environmental information acquired with the aid of said unit is processed together with the other sensor information to form setpoint value specifications for the automated train operating system. The setpoint value specifications can, for example, comprise speed specifications or values for speed regulation. The speed regulation can be performed with an automated system that defines a speed depending on determined position information and environmental information. Alternatively, it is also possible to determine in a current situation, on the basis of the environmental information as well as the position information, how far the rail vehicle is allowed to move in the current situation.
The invention is described again in more detail in the following with reference to the attached figures and with reference to exemplary embodiments, in which:
An embodiment in combination with train protection components and infrastructure as well as the vehicle's own intelligence is likewise possible, but not necessary for an automated or autonomous driving function.
Like the conventional system 10 shown in
The comparison unit 22a uses the position P and the map data KD as the basis for carrying out a comparison, wherein information contained in the map, which is necessary for the driving operation and hence for the current setpoint value specifications SWV, is acquired and evaluated. This information can, for example, comprise the course of the route, signal positions, stop positions, branches and the like.
The journey of a rail vehicle follows a predefined driving mission, which is, for example, defined by a schedule. The current setpoint value specifications SWV, which indicate how far the rail vehicle is to be moved, are determined on the basis of the current local position P, the predefined driving mission and the map data KD, more precisely, the route of the driving mission stored in the map data KD. As already mentioned, the setpoint value specifications determined are transmitted to the automated train operating system 11, which uses them as the basis for generating driving and braking commands SW with which the actuation 3 of propulsion and braking is controlled.
In conclusion, reference is made once again to the fact that the described methods and apparatuses are only preferred exemplary embodiments of the invention and that the invention can be varied by the person skilled in the art without departing from the scope of the invention insofar as this is specified by the claims. It is also pointed out for the sake of completeness that the use of the indefinite article “a” or “an” does not preclude the possibility of the features in question also being present on a multiple basis. Likewise, the term “unit” does not preclude the possibility of this consisting of a plurality of components which may also be spatially distributed.
Number | Date | Country | Kind |
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10 2018 215 697.2 | Sep 2018 | DE | national |
Filing Document | Filing Date | Country | Kind |
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PCT/EP2019/074164 | 9/11/2019 | WO |
Publishing Document | Publishing Date | Country | Kind |
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WO2020/053245 | 3/19/2020 | WO | A |
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