DE102016007899A1 - Method for operating a device for traffic situation analysis, motor vehicle and data processing device - Google Patents

Abstract

Method for operating a device (3) for traffic situation analysis, which processes input data relating to an at least partially autonomously operable motor vehicle (1), wherein the input data include geographical map data describing an environment of the motor vehicle (1) and positions and / or directions of movement of further road users (19, 20 ) in the environment of the motor vehicle (1) descriptive environment data, comprising the steps: - determining a movement space information describing a predicted movement space (21) of the motor vehicle (1) from the map data; Determining motion path information describing at least one predicted movement path (27, 28) of at least one traffic participant (19, 20) by applying a motion prediction model to the environment data; Determining a rating information describing the relevance for a traffic situation analysis of at least one partial movement space (31) as a function of the movement space information and the movement path information; and - performing the traffic situation analysis for the or at least one partial movement space (31) depending on the evaluation information.

Description

The invention relates to a method for operating a device for traffic situation analysis.

In teilautonom and in particular fully autonomously operable motor vehicles, the avoidance of collisions with other road users a key requirement for their practicality in road transport. For this purpose, such a motor vehicle must be able to analyze traffic situations correctly in order to assess the potential for collision with road users in its environment. One of these tasks realizing device for traffic situation analysis for a motor vehicle is known per se in the art. Likewise, a device for traffic situation analysis on a data processing device outside of a motor vehicle for simulation in the context of experiments and the like can be operated. Typically, a collision time (time-to-collision), ie the time until the occurrence of a collision of the motor vehicle with the road user under predetermined boundary conditions, is calculated and used as criterion of criticality to determine the risk of a possible collision in the context of the traffic situation analysis.

For example, from the DE 10 2007 015 032 A1 discloses a method for assessing the criticality of a traffic situation, wherein based on environmental data, an object located on a crossing collision course with the own vehicle is identified and a collision zone lying on the collision course is determined. In this case, a plurality of possible acceleration values are specified as parameters for the own vehicle and / or the object, wherein for each acceleration value pair an associated overlapping area is predicted as a time range in which the own vehicle and the object will be located simultaneously in the collision zone.

Especially in urban traffic, in which there is typically a large number of other road users in the vicinity of the motor vehicle, such a traffic situation analysis which is geared to the collision time has proven to be very unspecific, ie. H. It will be determined for many road users possible collisions. Such false alarms thus lead to unwanted, the ride comfort of an at least partially autonomously operated vehicle restricting driving interventions. Similar traffic situation analyzes behave similarly inaccurate even with longer prediction periods of, for example, more than 2.5 seconds, since the duration of the prediction period also increases the number of possible collision situations.

The invention is therefore based on the object to improve the operation of a device for traffic situation analysis, in particular with regard to urban traffic situations and longer prediction periods.

• – Ermitteln einer einen prädizierten Bewegungsraum des Kraftfahrzeugs beschreibenden Bewegungsrauminformation aus den Kartendaten;
• – Ermitteln einer wenigstens einen prädizierten Bewegungsweg wenigstens eines Verkehrsteilnehmers beschreibenden Bewegungsweginformation durch Anwenden eines Bewegungsprädiktionsmodells auf die Umgebungsdaten;
• – Ermitteln einer die Relevanz für eine Verkehrssituationsanalyse wenigstens eines Teilbewegungsraums beschreibenden Bewertungsinformation in Abhängigkeit der Bewegungsrauminformation und der Bewegungsweginformation; und
• – Durchführen der Verkehrssituationsanalyse für den oder wenigstens einen Teilbewegungsraum in Abhängigkeit der Bewertungsinformation.

This object is achieved according to the invention by a method for operating a device for traffic situation analysis, which processes input data relating to an at least partially autonomously operable motor vehicle, the input data describing an environment of the motor vehicle descriptive geographic map data and positions and / or directions of movement of other road users in the environment of the motor vehicle Environmental data includes the steps of:

• Determining a movement space information describing a predicted movement space of the motor vehicle from the map data;
• Determining motion path information describing at least one predicted movement path of at least one traffic participant by applying a motion prediction model to the environment data;
• Determining a rating information describing the relevance for a traffic situation analysis of at least one partial movement space as a function of the movement space information and the movement path information; and
• - Carrying out the traffic situation analysis for the or at least a partial movement space depending on the evaluation information.

The invention is based on the consideration of identifying one or more sub-movement spaces in the surroundings of the motor vehicle to be traveled by the motor vehicle before the actual traffic situation analysis, which are of relevance for an adequate traffic situation analysis and to evaluate this relevance by an evaluation information. The subsequent traffic situation analysis is then subjected to at least one such sub-movement space rated as sufficiently relevant. The execution of the traffic situation analysis, which includes, for example, a conventional determination of the collision time, can therefore be preceded by a selection in order to limit the traffic situation analysis to particularly relevant or, in other words, particularly interesting sections of the surroundings of the motor vehicle. The evaluation information can also be understood as an interesting measure for a particular partial movement space. Consequently, the traffic situation analysis advantageously no longer has to be carried out for all collision possibilities with all road users in the vicinity of the motor vehicle. This can Especially in complex traffic situations in urban areas with many road users and / or with a long, a plurality of road users considering prediction time, the number of false alarms for an impending collision and thus the number of driving interventions are reduced.

In principle, the device for traffic analysis processes input data in the form of map data and environmental data, which can be operated at least partially autonomously, in particular can be operated completely autonomously and is related to motor vehicles. This may be data relating to real vehicle, for example sensor data of a sensor device installed in the motor vehicle and / or data of the at least one further road user received by means of a communication device. Output data of the device for traffic situation analysis can then be provided to a vehicle system for completely autonomous control of the motor vehicle or to a vehicle system for implementing an assistance function (emergency brake assistant, adaptive cruise control system etc.). However, it is also possible that the input data relate to a motor vehicle to be simulated, wherein the input data is then typically provided by a so-called logical database which provides an artificially generated or recorded in the past real traffic situation representing data as input data.

In the context of the method according to the invention, the movement space information describing the predicted movement space of the motor vehicle is determined from the map data in one step. Such a predicted movement space comprises, in particular, sections of the surroundings of the motor vehicle in which it could soon move, for example taking into account the infrastructure or the maneuverability of the motor vehicle. For example, such sections of the environment of the motor vehicle do not belong to the movement space, which are not intended for driving or may not be used in a regular, in particular traffic rules compliant, operation of the motor vehicle. Such a movement space is also called "Maneuver Space". Preferably, the movement space is determined as a planar and / or contiguous portion of a map of the environment represented by the map data. In principle, however, a one-dimensional representation of the movement space, for example in the form of one or more predicted trajectories, or a three-dimensional, that is to say a body descriptive, representation of the movement space is also conceivable.

In a further step of the method according to the invention, the movement information describing the at least one predicted movement path of the at least one road user is determined by applying a motion prediction model to the environment data. A movement path thus describes a predicted future movement course of a road user in the vicinity of the motor vehicle. The motion prediction model (so-called motion prediction model) to be used in this case can determine the at least one predicted movement path of the road user on the basis of a behavioral hypothesis. In this case, a movement path is preferably represented one-dimensionally, that is to say in particular as a trajectory, whereby, of course, a two-dimensional or three-dimensional representation is also conceivable here analogously to the movement space. The steps of determining the movement space information and the determination of the movement path information can, in principle, be performed sequentially or in parallel in any order.

According to the invention, the evaluation information describing the relevance for the traffic situation analysis of at least one partial movement space is also determined as a function of the movement space information and the movement path information. Consequently, at least one partial movement space can be determined as a subspace of the movement space which, taking into account the movement space information and the movement path information, proves to be relevant for a traffic situation analysis. In addition, the evaluation information that quantifies this relevance is determined.

The subsequent implementation of the traffic situation analysis then takes place as a function of the evaluation information, wherein, for example, at least one of a plurality of determined partial movement spaces can be selected as a function of the evaluation information. Expediently, the determination of the at least one partial movement space takes place at a point in time at which the traffic situation analysis can not be carried out meaningfully, for example because a collision time to be taken into account can not yet be determined or not sensibly determined. In the context of carrying out the traffic situation analysis, additional information such as a detected misconduct of the road users, aspects of sensor blindness of the sensor device of the motor vehicle, detected errors of the sensor device from a self-diagnosis and the like can also be incorporated. In particular, the method according to the invention can be carried out continuously for a plurality of time steps, each of which is based on an updated set of input data, in order to enable traffic situation analysis in real time.

In order to limit the computational effort when carrying out the method according to the invention, it is preferred if, during determination of the movement space information and / or the at least one movement path information, only a predetermined radius about the motor vehicle describing map data and / or surrounding data are taken into account. This radius is expediently selected application-specific, wherein, for example, a smaller radius can be selected for an emergency brake assistant than for an adaptive cruise control system.

It is also particularly advantageous in the method according to the invention if the movement space information and / or the at least one movement path information is determined as a function of a traffic regulation information describing traffic regulations in the environment and / or infrastructure information describing the infrastructure of the environment. The traffic regulation information may include, for example, information about applicable priority and / or priority regulations that influence a traffic-law-compliant movement of the motor vehicle or the road user and thus also the movement space or movement path to be determined for them. Such an influence can also result from the infrastructure of the environment, for example by the width of a roadway and / or a lane subdividing the lane or the width of a comparable traffic lane of another road user, for example a walkway and / or a cycle path. The infrastructure information may also include information about lane markings and traffic control systems, such as traffic lights.

The infrastructure information is preferably derived from the map data. This advantageously allows a much more realistic determination of the movement space and / or the at least one movement path.

In this context, it has proved to be particularly favorable if at least one traffic route course restricting the movement space and / or the movement path and / or at least one stop line for a traffic route change are determined from the traffic regulation information and / or the infrastructure information. The movement space can therefore for example be limited to possible traffic route sections, in particular road sections, on the basis of the infrastructure information and / or the traffic regulation information on the basis of the applicable left or right-hand traffic regulation and a lane marking. Likewise, it is possible by the consideration of priority and / or priority regulations in a traffic route change, so for example a turn to identify stop lines at which the motor vehicle or the road user will wait to grant the right of way or priority.

In the case of the method according to the invention, it is also preferred if, due to a plurality of trajectories, the movement space comprises lane sections occupied by the motor vehicle for possible future driving maneuvers. In other words, in order to determine the movement space, trajectories for future driving maneuvers can first be determined, and then roadway sections which would be occupied when the trajectories are traveled can be identified. Appropriately, the traffic control information and / or the infrastructure information is taken into account, so that the movement space includes not only road sections, which would result in a projection of the outer boundary of the motor vehicle on the road, but complete lanes available for the traffic regulations compliant movement of the motor vehicle includes.

In the context of the method according to the invention, it is also particularly expedient if the environmental data for the at least one road user whose position and / or movement direction they describe comprise classification information which is taken into account when applying the motion prediction model. Classification algorithms that can be used to determine such classification information are known per se from the prior art and use, for example, image recognition methods, on the basis of which the road user can be classified as another motor vehicle, pedestrian, cyclist, etc. Of course, even a finer classification is possible, for example, in another motor vehicle as a passenger car, truck, motorcycle etc.

Since different classes of road users show sometimes different behavior due to their maneuverability or traffic psychological aspects, it is also preferred if the motion prediction model applies different behavioral hypotheses for different classes of road users. This advantageously allows a much more precise prediction of a movement path.

Expediently, in the method according to the invention when determining the movement path information, a prediction period of at least 2.5 seconds, in particular at least 5 seconds, is used. It has been found that it is precisely with such longer prediction periods that a traffic situation analysis based on a collision time only produces results of less Quality delivers, so that the invention proposed evaluation information-dependent implementation of the traffic situation analysis is particularly effective. It has also been found that when determining the motion path information, an underlying prediction period of at most 12 seconds, in particular at most 10 seconds, has the greatest possible effect on the traffic situation analysis.

Advantageously, it is also provided in the method according to the invention that the at least one partial movement space is determined as a possible conflict area with at least one predicted movement path. Consequently, at least those parts of the movement space are determined as a partial movement space in which a potential conflict, in particular an overlap, is determined with at least one predicted movement path. The conflict area can also be larger than an overlap area of the movement path and the movement space and in particular also include adjacent areas. It is also conceivable that the movement space is divided into a plurality of movement space segments and the conflict area is determined as a movement space segment that overlaps with at least one movement path. The determination of a conflict area takes place, in particular, independently of the time course of the movement of the road user and / or of the motor vehicle. It can not necessarily be deduced from the existence of a conflict area that the motor vehicle and the other road users are actually on a collision course.

It is also particularly preferred if the evaluation information comprises a probability value for a future conflict in the at least one partial movement space. The evaluation information thus already gives a provisional statement to what extent the movement path of the road user is relevant for a further traffic situation analysis. In other words, the evaluation information realizes a local measure of interest based on the probability of a future conflict.

In the method according to the invention, it is furthermore particularly preferred if, when carrying out the traffic situation analysis, the at least one partial movement space to be analyzed is prioritized and / or prefiltered as a function of the evaluation information. In particular, at least one partial movement space to be analyzed can be selected in the sense of a prefiltering from a plurality of specific partial movement spaces provided with an evaluation information. For this purpose, for example, a threshold value can be specified, wherein the traffic situation analysis for a partial movement space is only performed if its evaluation information reaches or exceeds this threshold value. Alternatively or additionally, several sub-motion spaces to be analyzed can be prioritized. In particular, the sub-movement spaces to be analyzed may be brought into a processing order in the traffic situation analysis according to their assigned evaluation information.

As already mentioned above, in the context of the method according to the invention, a device for traffic situation analysis installed in the motor vehicle can be used to carry out the method. The method is then carried out in a real motor vehicle, wherein the environmental data, in particular, sensor data of a sensor device of the motor vehicle and / or data received from a communication device of the motor vehicle may be transmitted outside the vehicle. The map data may in particular be stored in a memory device of the motor vehicle or received by the or a communication device. In addition, output data of the traffic situation analysis device can be provided to a vehicle system for realizing completely autonomous operation or a vehicle system engaging only in the transverse or longitudinal guidance of the motor vehicle, such as an emergency brake assistant or an adaptive cruise control system.

As an alternative to using a device for traffic situation analysis installed in a motor vehicle, it is possible in the method according to the invention for it to be carried out on a data processing device that implements the traffic situation analysis device for simulating traffic situations. In this case, the input data is preferably loaded from a memory device of the data processing device and / or retrieved from a remote server.

In addition, the invention relates to a motor vehicle, which is at least partially autonomously operable and has built in the motor vehicle, operable according to the inventive method means for traffic situation analysis.

In addition, the invention relates to a data processing device which is designed to simulate traffic situations and implements a device for traffic situation analysis operable in accordance with the method according to the invention.

All embodiments of the method according to the invention can be analogously to the motor vehicle according to the invention and the data processing device according to the invention, so that with these the aforementioned advantages can be achieved.

Further advantages and details of the invention will become apparent from the embodiments described below and with reference to the drawings. These are schematic representations and show:

1 a schematic diagram of a motor vehicle according to the invention;

2 an exemplary traffic situation to explain the method according to the invention; and

3 a schematic diagram of a data processing device according to the invention.

1 shows a schematic diagram of an embodiment of a motor vehicle 1 , which is completely autonomous operable. For this purpose, it has a vehicle system 2 which depends on output data of a device 3 for traffic situation analysis, the longitudinal and transverse movement of the motor vehicle 1 controls. According to a further embodiment, the motor vehicle 1 only teilautonom operable, whereby by the vehicle system 2 only individual, engaging in the transverse and / or longitudinal guidance of the motor vehicle assistance functions such as an emergency brake assistant or an adaptive cruise control system can be realized.

The car 1 also has a sensor device 4 with a plurality of sensors, not shown, on the environment of the motor vehicle 1 capture and are designed for example as a radar, Lidar-, ultrasonic sensors or cameras. The sensor device 4 Generates an environment model through central sensor data fusion. Next to it are a navigation system 5 provided, which geographical information about the environment of the motor vehicle 1 and a communication device 6 intended for communication with other road users, infrastructure facilities and a server-external server (Car2x communication). The sensor device 4 , the navigation system 5 and the communication device 6 put the device 3 for traffic situation analysis input data ready, on the one hand the environment of the motor vehicle 1 descriptive geographical map data and on the other positions and directions of movement of other road users in the vicinity of the motor vehicle 1 include descriptive environment data. The environment data further includes classification information that assigns a class (eg motor vehicle, pedestrian, cyclist, or a finer classification) to each other road user. Classification algorithms, by means of which such classification information from sensor data of the sensor device 4 can be determined for example by image processing, are known in the art and require no further explanation.

The device 3 for traffic situation analysis is operable according to a method which is described below in terms of a 2 explained exemplary traffic situation is explained in more detail:

2 shows a double crossing 7 from a bird's eye view, with the motor vehicle 1 a traffic light system 8th on a roadway 9 approaches. This is in the area of the traffic light system 8th in a straight-ahead lane 10 and a left turn lane 11 divided, with the motor vehicle 1 into the latter. Behind one of the traffic lights 8th associated stop line marker 12 go the left turn lane 11 in two lanes 13 and 14 a crossing road 15 over which a pedestrian crossing point 16 between two opposite sidewalks 17 . 18 having. On the pavement 17 There are two other road users in the form of pedestrians 19 . 20 , where the pedestrian 19 in the direction of the pedestrian crossing 16 and the pedestrian 20 moved in the opposite direction.

In a first step of the method, the device determines 3 a predicted range of motion 21 of the motor vehicle 1 descriptive movement space information from the map data. This is initially a in 2 only partially represented radius 22 to the motor vehicle 1 predetermined, which has a basically to be considered for the traffic situation analysis area in the vicinity of the motor vehicle 1 limited.

Within this range to be considered, the determination of the movement space takes place 21 depending on one in the institution 3 available, valid traffic rules in the vicinity of the motor vehicle 1 descriptive traffic regulation information. This includes in particular information on priority and priority arrangements. In addition, the determination of the movement space 21 depending on the infrastructure of the environment of the motor vehicle 1 descriptive infrastructure information which information about the course and extent of the left turn lane 11 , the lanes of traffic 13 . 14 and the sidewalks 17 . 18 , the positions of the traffic light system 8th and the stop line marker 12 as well as further in 2 includes roadway markings and traffic control devices not shown for reasons of clarity. The device 3 determines the infrared structure information from the map data.

The movement room 21 is now determined to be due to trajectories 23 for several possible future driving maneuvers by the motor vehicle 1 occupied lane sections of the carriageway 9 includes. The movement room 21 However, this does not only include directly by the motor vehicle 1 occupied lane sections, but the entire width of the left turn lane 11 and the lanes 13 . 14 , Likewise, when determining the range of motion 21 the course and extent of the sidewalks 17 . 18 considered, which according to the traffic regulation information not by the motor vehicle 1 may be driven. This results in a potential movement space 21 Restricting traffic route for a further journey of the motor vehicle 1 ,

The movement space information thus becomes as a planar portion of the map of the surroundings of the motor vehicle represented by the map data 1 determined. In addition, as part of the movement information, the traffic rule information and the infrastructure information become three virtual stop lines 24 . 25 . 26 determined, with the stop line 24 the position of the stop line marker 12 corresponds and the stop lines 25 and 26 each such imaginary lines in the movement space 21 correspond to where the motor vehicle 1 oncoming other road users in the form of motor vehicles or the pedestrian 19 Give priority.

In a second step of the procedure becomes a predicted movement paths 27 . 28 the pedestrian 19 . 20 describing descriptive motion path information by applying a motion prediction model to the environment data. The movement prediction model includes for this purpose different classes of road users, here the pedestrians 19 . 20 , different behavioral hypotheses, based on which the possible movement paths 27 . 28 be predicated. The prediction takes place for a prediction period of 10 seconds. In this prediction attacks the device 3 also on the traffic information, the traffic rules for allowed movements of pedestrians 19 . 20 describe and return to the infrastructure information. The movement paths 27 . 28 can also be used as trajectories of pedestrians 19 . 20 be understood. The determination of the movement paths takes place here 27 . 28 basically analogous to the previously described determination of the movement space. In particular, virtual stop lines described by the motion path information also become here 29 . 30 determines where the respective pedestrian 19 . 20 waiting for a traffic route change to view the traffic.

In a third step becomes a partial movement space 31 as a possible area of conflict with the predicted path of movement 27 of the pedestrian 19 as the overlapping area of the movement path 27 with the movement room 21 determined. This part movement room 31 thus provides a range of movement space 21 in which possibly a collision between the motor vehicle 1 and the pedestrian 19 could happen, which is why the partial motion space 31 for a further traffic situation analysis of the facility 3 is of particular interest. Regarding the pedestrian 20 Such a potential conflict area does not appear to exist, as there is no overlap between the path of movement 28 and the movement space 21 exist.

In a following fourth step, the relevance for the traffic situation analysis of the partial movement space becomes 31 descriptive evaluation information depending on the movement space information and the movement path information determined. This includes a probability value for a future conflict between the pedestrian 19 and the motor vehicle 1 in the partial movement room 31 , In particular, the information about the virtual stop lines flows into this determination 26 . 29 one. The probability value is thus determined taking into account specific infrastructural occurrences, the prevailing traffic rules and the application of the movement prediction model also depending on traffic psychological factors. The evaluation information can be considered as an interesting measure for the traffic situation analysis.

Finally, in a fifth step, the traffic situation analysis is performed as a function of the evaluation information. In the present case, there is a prefiltering of the partial movement space to be considered 31 instead, so that it is only subjected to the traffic situation analysis if the evaluation information, in particular the probability value represented by it, exceeds a predefined threshold value. In the context of the traffic situation analysis, it is then possible in particular to determine criticality measures such as a collision time and the output data for controlling the vehicle system 2 be generated.

In the embodiment described above, only the partial movement space 31 identified as a potential area of conflict. In further exemplary embodiments of the method, which are based on more complex traffic situations with a plurality of other road users, a plurality of partial movement spaces, each with an evaluation information, can be determined in an analogous manner. In this case, the traffic situation analysis is performed as a function of the evaluation information in such a way that, in addition to the prefiltering already described, a prioritization of the prefiltered parts movement spaces takes place.

3 shows a schematic diagram of a data processing device 32 , which is designed for the simulation of traffic situations and a device 3 realized to traffic situation analysis, which is operable according to an embodiment of the method described above. The input data are from a logical database 33 , for example in the form of a storage device or an interface to an external server. These input data may describe a purely virtually generated traffic situation or be data recorded during a test drive with a motor vehicle. Based on these input data, the device performs 3 then the method steps described above and provides the determined output data as a result of the traffic situation analysis of an output device 34 ready.

QUOTES INCLUDE IN THE DESCRIPTION

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Cited patent literature

• DE 102007015032 A1 [0003]

Claims (15)

Method for operating a device ( 3 ) for traffic situation analysis, which relates to an at least partially autonomously operable motor vehicle ( 1 processed input data, wherein the input data an environment of the motor vehicle ( 1 ) describing geographical map data and positions and / or directions of movement of other road users ( 19 . 20 ) in the vicinity of the motor vehicle ( 1 ) comprise descriptive environmental data, comprising the steps of: determining a predicted range of motion ( 21 ) of the motor vehicle ( 1 ) describing movement space information from the map data; Determining at least one predicted movement path ( 27 . 28 ) at least one road user ( 19 . 20 ) describing motion path information by applying a motion prediction model to the environment data; Determining the relevance for a traffic situation analysis of at least one partial movement space ( 31 ), depending on the motion space information and the motion path information; and - carrying out the traffic situation analysis for the or at least one partial movement space ( 31 ) depending on the evaluation information. A method according to claim 1, characterized in that when determining the movement space information and / or the at least one movement path information only a predetermined radius ( 22 ) around the motor vehicle ( 1 ) descriptive map data and / or environmental data are taken into account. Method according to claim 1 or 2, characterized in that the movement space information and / or the at least one movement path information is determined as a function of traffic regulation information describing traffic regulations in the environment and / or infrastructure information describing the infrastructure of the environment. A method according to claim 3, characterized in that from the traffic control information and / or the infrastructure information at least one of the movement space ( 21 ) and / or the movement path ( 27 . 28 ) restricting traffic route course and / or at least one stop line ( 24 . 25 . 26 . 29 . 30 ) are determined for a traffic route change. Method according to one of the preceding claims, characterized in that the movement space ( 21 ) due to multiple trajectories ( 23 ) for possible future driving maneuvers by the motor vehicle ( 1 ) comprises occupied lane sections. Method according to one of the preceding claims, characterized in that the environmental data for the at least one road user ( 19 . 20 ) whose position and / or direction they describe, comprise classification information which is taken into account when applying the motion prediction model. A method according to claim 6, characterized in that the movement prediction model for different classes of road users ( 19 . 20 ) applies different behavioral hypotheses. Method according to one of the preceding claims, characterized in that the determination of the movement path information is based on a prediction period of at least 2.5 seconds, in particular at least 5 seconds, and / or at most 12 seconds, in particular at most 10 seconds. Method according to one of the preceding claims, characterized in that the at least one partial movement space ( 31 ) as a possible area of conflict with at least one predicted path of movement ( 27 . 28 ) is determined. Method according to Claim 9, characterized in that the evaluation information contains a probability value for a future conflict in the at least one partial movement space ( 31 ). Method according to one of the preceding claims, characterized in that, when carrying out the traffic situation analysis, the at least one partial movement space to be analyzed ( 31 ) is prioritized and / or pre-filtered depending on the evaluation information. Method according to one of the preceding claims, characterized in that one in the motor vehicle ( 1 ) built-in device ( 3 ) is used for traffic situation analysis to carry out the method. Method according to one of Claims 1 to 11, characterized in that it comprises on one 3 ) for traffic situation analysis realizing data processing device ( 32 ) is performed to simulate traffic situations. Motor vehicle, which is at least partially autonomously operable and a device operable according to a method according to claim 12 ( 3 ) for traffic situation analysis. Data processing device which is designed for the simulation of traffic situations and a device which can be operated according to a method according to claim 13 ( 3 ) realized for traffic situation analysis.

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