DE102010054077B4 - Method and device for providing a driving recommendation for a route section - Google Patents

Abstract

Method for providing a driving recommendation, in particular to a driver of a motor vehicle (2) or for automatically operating the motor vehicle, with the following steps: - retrieving (S1) a set of speed profiles for a route section (A) ahead of the motor vehicle (2), wherein each speed profile indicates a course of the speed of the motor vehicle (2) along the route section;- determining (S3) a most probable speed profile for the route section (A) from the set of speed profiles;- determining (S6) a speed profile optimized according to a predetermined optimization parameter depending on the most likely speed profile; and - signaling (S7) a driving recommendation depending on the optimized speed profile and depending on the current position of the motor vehicle (2), the determination of the most probable speed profile comprising the following steps: - grouping of one or more similar speed profiles from the set of speed profiles using a pattern recognition method in clusters;- associating a cluster velocity profile with each cluster, the cluster velocity profile corresponding to a combination, in particular a mean line, of the velocity profiles grouped in the cluster; and- assigning probabilities to each of the cluster velocity profiles.1

Description

technical field

The invention generally relates to driver assistance systems and methods that are suitable for providing a driving recommendation for a route section that is immediately ahead. Furthermore, the invention relates to a method for instructing a driver of a motor vehicle so that he moves the vehicle in a driving style that is optimized according to one or more optimization parameters, in particular in a consumption-optimized driving style. Furthermore, the invention relates to systems for moving a vehicle autonomously in a driving style that is optimized according to one or more optimization parameters.

State of the art

A driver of a motor vehicle should drive with foresight for a fuel-efficient or comfortable driving style. To do this, the driver takes in information about the environment and the current traffic situation and can consciously or intuitively adjust the current and a future driving maneuver accordingly. On known road sections, the driver knows the course of the road, so that it is easier to adapt the driving behavior on these road sections to the current traffic situation.

Anticipatory driving, especially on unfamiliar road sections, is significantly more difficult due to the lack of information about the environment and the course of the road section immediately ahead. For example, a driver in front of an S-curve that cannot be seen behaves much more cautiously if he knows the course of the S-curve than a driver who can only perceive the first bend of the S-curve. In the latter case, the driver will approach the first curve at a significantly higher speed and, upon recognizing the subsequent second curve, reduce the speed significantly more than would be the case for a driver who already knows the course of the S-curve. In the latter case, this leads to an overall increase in fuel consumption with reduced driving comfort.

So far there has been no system that supports a driver by providing dynamically adaptable information so that he can adapt his driving behavior to a route immediately ahead in order to move the vehicle in an optimized manner according to an optimization parameter, for example in a consumption-optimized or comfort-optimized manner. While previous navigation systems only make route selections on a larger scale in order to determine the fastest or shortest route to the destination, in particular taking into account traffic situation information, these systems do not help to predict driving behavior on the route immediately ahead, such as for the next 100 km meters to influence.

From Axel Wegener's dissertation, "Organic computing concepts and their implementation for decentralized applications in road traffic", Lübeck 2009, it is known to provide a speed recommendation for the use of the green wave of traffic lights, whereby road users taking into account the traffic lights on the relevant section of road as well as an optimum speed is suggested based on the local traffic density. Such a system provides traffic light-to-vehicle communication, which requires additional installation of hardware at the traffic lights. The speed recommendation only takes into account the traffic lights of the relevant route section and the local traffic density and cannot individually take into account the driving behavior of the driver of the vehicle or the speed profiles of several vehicles on the relevant route section. It is also not possible for the driver to be given continuous speed recommendations, but only speed displays at a distance from the corresponding preinstalled display devices.

DE 10 2009 015 161 A1 discloses a method for generating target specifications for at least one adjustable vehicle parameter, a route section that has already been traveled being recorded with regard to different parameters and used for later travel through the same route section, for example in a distance-dependent cruise control. The route information recorded and the target specifications can each be processed as a function of time, so that route information suitable for the corresponding route conditions (e.g. weekend/workday, summer/winter, morning/evening, etc.) is used to generate target specifications .

Recorded route information can be made available to other vehicles via a mobile phone network or via the Internet.

It is therefore the object of the present invention to provide a method and a device with which a speed profile optimized according to an optimization parameter is determined for a route section immediately ahead. Furthermore, it is an object of the present invention, the Fah rer of the vehicle or a control unit of the vehicle to provide information on the basis of which the vehicle can be moved according to the optimized speed profile.

Disclosure of Invention

This object is achieved by the method for providing a driving recommendation to a driver of a motor vehicle according to claim 1 and by the system and the computer program product according to the independent claims.

Further advantageous developments are specified in the dependent claims.

• - Abrufen einer Menge von Geschwindigkeitsprofilen für einen dem Kraftfahrzeug voraus liegenden Streckenabschnitt, wobei jedes Geschwindigkeitsprofil einen Verlauf der Geschwindigkeit des Kraftfahrzeugs entlang des Streckenabschnitts angibt;
• - Ermitteln eines wahrscheinlichsten Geschwindigkeitsprofils für den Streckenabschnitt aus der Menge der Geschwindigkeitsprofile;
• - Bestimmen eines gemäß einem vorgegebenen Optimierungsparameter optimierten Geschwindigkeitsprofils abhängig von dem wahrscheinlichsten Geschwindigkeitsprofil;
• - Signalisieren einer Fahrempfehlung abhängig von dem optimierten Geschwindigkeitsprofil und abhängig von der momentanen Position des Kraftfahrzeugs.

According to a first aspect, a method is provided for providing a driving recommendation, in particular to a driver of a motor vehicle or to a control unit for automatically operating the motor vehicle. The procedure includes the following steps:

• - retrieving a set of speed profiles for a route section lying ahead of the motor vehicle, each speed profile indicating a progression of the speed of the motor vehicle along the route section;
• - determining a most probable speed profile for the route section from the set of speed profiles;
• - Determining a speed profile optimized according to a predetermined optimization parameter as a function of the most probable speed profile;
• - Signaling a driving recommendation depending on the optimized speed profile and depending on the current position of the motor vehicle.

One idea of the above method is to call up one or more speed profiles recorded in the past for a specific section of road on which a vehicle is to be moved or is moving, and to recognize patterns from the speed profiles provided in this way, from which probabilities for possible speed profiles can be derived the route section can be derived. The speed profiles can have been previously recorded both by the driver's own vehicle and by other vehicles that have driven through the route section. The speed profile with the highest probability corresponds to the most probable speed profile from which an optimized speed profile can be determined, which is optimized according to an optimization parameter such as fuel consumption or driving comfort. The driver of the vehicle who wants to move over the route section can then be provided with information instructing him to move with the vehicle according to the optimized speed profile.

With such a method, it is fundamentally possible to simplify driving on unknown road sections, since the driver is signaled, for example by early instructions to reduce a speed, that there is probably an area of the road section ahead on which a reduction in speed is necessary. This assumption is based on the "experience" of other vehicles that have already driven through the route section. Through early information, e.g. B. to reduce the speed, the driver can reduce the speed by releasing the accelerator pedal and / or disengaging the clutch, so that the vehicle reduces the speed slowly and in overrun mode or coasting mode. This avoids the driver driving at a higher speed to the point at which the speed reduction is necessary, in order to then brake the vehicle at this point. Releasing the accelerator pedal early can then lead to fuel savings and also ensures an increase in driving comfort, since excessive deceleration can be avoided by active braking.

Furthermore, the one or more speed profiles can be retrieved from a memory of a computer unit located in the vehicle and/or from a central system remote from the motor vehicle and/or from a computer unit of another motor vehicle, in particular a motor vehicle driving ahead on the route section.

• - Gruppieren von jeweils, einem oder mehreren ähnlichen Geschwindigkeitsprofilen aus der Menge der Geschwindigkeitsprofile in Cluster mithilfe eines Mustererkennungsverfahrens;
• - Zuordnen eines Cluster-Geschwindigkeitsprofils zu jedem Cluster, wobei das Cluster-Geschwindigkeitsprofil einer Kombination, insbesondere einer Mittelwertlinie der in dem Cluster gruppierten Geschwindigkeitsprofile, entspricht;
• - Zuordnen von Wahrscheinlichkeiten zu jedem der Cluster-Geschwindigkeitsprofile.

According to one embodiment, determining the most probable speed profile can include the following steps:

• - grouping of one or more similar speed profiles from the set of speed profiles in clusters using a pattern recognition method;
• - associating a cluster speed profile with each cluster, the cluster speed profile corresponding to a combination, in particular a mean line, of the speed profiles grouped in the cluster;
• - Assigning probabilities to each of the cluster velocity profiles.

In this way it is possible to assign speed profiles that correspond to a comparable traffic situation to a cluster and then to determine the most probable speed profile for the route ahead of the motor vehicle by evaluating the probabilities of the represented traffic situations.

It can be provided that before the one or more similar speed profiles are grouped from the set of speed profiles into clusters, the speed profiles to be taken into account for the grouping step are selected. The selection can be made according to a temporal filtering. This serves to ensure that only mutually comparable speed profiles are taken into account for grouping in a common cluster, e.g. depending on time information assigned to the speed profiles. In this way, it can be ruled out that different traffic situations, such as those between working days and public holidays or between rush-hour traffic and non-rush-hour traffic times, are compared with one another.

• - von der Anzahl der in dem Cluster gruppierten ähnlichen Geschwindigkeitsprofile,
• - und/oder
• - von den Abständen der in dem Cluster gruppierten ähnlichen Geschwindigkeitsprofile von dem Cluster-Geschwindigkeitsprofil, und/oder
• - von einem Alter der in dem Cluster gruppierten ähnlichen Geschwindigkeitsprofile.

Provision can be made for the assignment of probabilities to each of the cluster speed profiles to be carried out dependently

• - the number of similar speed profiles grouped in the cluster,
• - and or
• - on the distances of the similar speed profiles grouped in the cluster from the cluster speed profile, and/or
• - from an age of similar speed profiles grouped in the cluster.

The predefined optimization parameter for determining the optimized speed profile can be the travel time, the fuel consumption, in particular the strength and duration of acceleration processes, or the driving comfort, in particular the strength and frequency of acceleration and deceleration processes.

Furthermore, it can be provided that the length of the route section ahead is between 100 m and 5,000 m.

The driving recommendation can be signaled as a function of the optimized speed profile and as a function of the current position of the motor vehicle by means of a light signal and/or sound signal.

Alternatively or additionally, the driving recommendation can be signaled depending on the optimized speed profile using a screen display in order to display the optimized speed profile and the current speed.

• - um eines oder mehrere Geschwindigkeitsprofile eines dem Kraftfahrzeug voraus liegenden Streckenabschnitts abzurufen, wobei das Geschwindigkeitsprofil einen Verlauf der Geschwindigkeit des Kraftfahrzeugs entlang des Streckenabschnitts angibt;
• - um ein wahrscheinlichstes Geschwindigkeitsprofil für den Streckenabschnitt zu ermitteln;
• - um ein gemäß einem vorgegebenen Optimierungsparameter optimiertes Geschwindigkeitsprofil abhängig von dem wahrscheinlichsten Geschwindigkeitsprofil zu ermitteln; und
• - um eine Fahrempfehlung abhängig von dem optimierten Geschwindigkeitsprofil und abhängig von der momentanen Position des Kraftfahrzeugs zu signalisieren.

According to a further aspect, a system for providing a driving recommendation to a driver of a motor vehicle is provided. The system includes a computer unit that is designed

• - to call up one or more speed profiles of a route section lying ahead of the motor vehicle, the speed profile indicating a progression of the speed of the motor vehicle along the route section;
• - to determine a most probable speed profile for the route segment;
• - to determine a speed profile optimized according to a predetermined optimization parameter as a function of the most probable speed profile; and
• - to signal a driving recommendation depending on the optimized speed profile and depending on the current position of the motor vehicle.

According to a further aspect, a computer program product is provided which contains a program code which is designed to carry out the above method when it is executed on a data processing unit.

character list

• 1 eine schematische Darstellung eines Systems zum Bereitstellen eines verbrauchsoptimierten Geschwindigkeitsprofils in einem Kraftfahrzeug;
• 2 ein Flussdiagramm zur Veranschaulichung des Verfahrens zum Bereitstellen eines verbrauchsoptimierten Geschwindigkeitsprofils;
• 3 ein Beispiel für ein Geschwindigkeitsprofil für einen beispielhaften Streckenabschnitt;
• 4a und 4b Darstellungen von Geschwindigkeitsprofilen für den Streckenabschnitt der 3 mit verschiedenen Wahrscheinlichkeiten und der Änderung der Wahrscheinlichkeit bei Empfangen einer Information über ein Geschwindigkeitsprofil der abgefahrenen Strecke eines voraus fahrenden Fahrzeugs; und
• 5 eine Darstellung eines wahrscheinlichsten Geschwindigkeitsprofils und eines optimierten Geschwindigkeitsprofils für einen beispielhaften Streckenabschnitt.

Preferred embodiments of the present invention are explained in more detail below with reference to the accompanying drawings. Show it:

• 1 a schematic representation of a system for providing a consumption-optimized speed profile in a motor vehicle;
• 2 a flowchart to illustrate the method for providing a consumption-optimized speed profile;
• 3 an example of a speed profile for an exemplary route section;
• 4a and 4b Representations of speed profiles for the section of the 3 with different probabilities and changing the true probability when receiving information about a speed profile of the covered distance of a preceding vehicle; and
• 5 a representation of a most probable speed profile and an optimized speed profile for an exemplary route section.

Description of Embodiments

1 1 shows an overview of a driver assistance system 1 for determining an optimized speed profile for a route section A ahead of a vehicle 2. The driver assistance system 1 includes a front end system 4, which is preferably implemented in the vehicle 2. The front-end system 4 essentially comprises a computer unit 3, which uses suitable means to detect the speed of the vehicle 2 (e.g. by communicating with another control unit (not shown), with speed sensors, with a navigation device or the like) and also the current position of the vehicle 2, for example using a GPS system. As a result, the computer unit 3 is able to record speed profiles for individual route sections, which the computer unit 3 identifies using the GPS coordinates. In particular, the speed profiles can indicate speed curves over a specific route section with an accuracy that is sufficient to also recognize short phases of a changed vehicle speed. For example, the speed profile of a route section can have a quantity of data pairs from vehicle speed and position of the vehicle, which z. B. at intervals of 5 meters to 50 meters of the distance traveled or at intervals of 0.1 to 5 seconds, in particular between 0.2 and 1 second, have been recorded.

According to a method described below, a probable speed profile for the vehicle is determined from the speed profile recorded in this way or from the plurality of speed profiles recorded in this way. The probable speed profile indicates the or one of the most probable courses of the speeds of the vehicle over the route section A, which occurs with the highest probability when driving through the route section A due to the environmental conditions, the traffic density or the like. An optimized speed profile can then be determined from the most probable speed profile, from which a recommendation for driving the vehicle 2 can be determined with the aid of a suitable signaling system 5 .

The computer unit 3 can also be connected to a communication unit 6 in order to transmit the recorded speed profiles to a central system 10 or to receive speed profiles and other information from the central system 10 . If speed profiles are sent from a number of vehicles to the central system 10, the information can be processed and aggregated centrally there in order to have a larger volume of data available for determining the most probable speed profile.

Provision can furthermore be made for information and in particular data on speed profiles to be exchanged between different vehicles directly using vehicle-to-vehicle communication. For example, a vehicle 15 driving ahead of vehicle 2 on route section A can receive the speed profile just created as the current speed profile of route section A in vehicle 2 in order to obtain up-to-the-minute information about route section A to be traveled. Furthermore, of course, older speed profiles recorded for route section A can also be exchanged between the vehicles. The current speed profile represents reliable information about a probable speed profile, since the vehicle driving behind on route section A--depending on the distance between vehicles 2, 15--experiences the same traffic situation or an only slightly different traffic situation. The current speed profile can be used to upgrade the older speed profiles present in the vehicle 2 and in the central system 10 and to appropriately update the most probable speed profile determined up to that point in the vehicle 2 .

In 2 a flow chart is shown to illustrate the method for determining the optimized speed profile. In a step S1, all available speed profiles and other information for the route section A ahead are retrieved. The relevant speed profiles of the route section A can be obtained from a memory in the computer unit 3 in the vehicle 2 and/or from the central system 10 and/or, if present, from vehicles driving in front that are driving the route _. who have recently traveled on section A will be preserved. The speed profiles include data pairs of vehicle speeds at positions of route section A. Furthermore, with the Speed profiles timestamps or time information for the recording time or the recording period of each of the provided speed profiles are provided.

In step S2, the speed profiles that include the same direction of travel are then sorted from the speed profiles and—if present—the time stamp. Furthermore, the filtering of step S2 can also take place according to time information. This means, for example, that only those of the provided speed profiles can be taken into account that occurred at a similar time of day, i. H. that have been recorded in a time-of-day window that depends on the current time, e.g. to differentiate between rush-hour traffic times and non-rush-hour traffic times. Alternatively or additionally, for example, only those speed profiles that are recorded either on a workday or on a holiday can be taken into account. This serves to ensure that only speed profiles that are comparable with one another are taken into account, e.g. depending on the time stamp assigned to the speed profiles or the time information for the grouping in a common cluster. In this way, it can be ruled out that different traffic situations are compared with one another

Further filtering of the speed profiles is possible to get the most relevant speed profiles. As a result, after step S2, a set of speed profiles is obtained for route section A, on which the determination of the most probable speed profile is based.

In 3 an example of different speed profiles along route section A is shown. Comparable patterns of the speed profiles can be seen, namely that along route section A the vehicle speed is reduced to approximately 0 km/h and then the vehicle continues to be driven at a substantially constant speed of approximately 45 km/h. The areas in which the speeds are reduced are spatially offset from one another.

In a step S3, a pattern recognition algorithm is applied to the speed profiles in order to recognize the accumulations of patterns from the speed profiles. The algorithm for pattern recognition has the task of comparing the speed profiles in pairs and grouping them into clusters. A representative speed profile can then be assigned to the individual clusters as a combination of the speed profiles assigned to the relevant cluster. For example, a dynamic time warping (DTW) algorithm can be used for this purpose, which, in contrast to the simple Euclidean distance algorithm that can also be used, can also take into account a shift and different characteristics of the pattern. Other algorithms can also be used for this. In principle, cluster methods for grouping the individual speed profiles are known from the prior art and are not described in more detail here. As a result, after step S3, there are preferred clusters which each combine a group of speed profiles in a cluster speed profile (eg as mean values of the individual data pairs of the speed profiles) and to which probabilities are assigned. In principle, the probabilities of the individual clusters result from the ratio of the number of speed profiles combined in the relevant cluster. When determining the individual probabilities, the individual speed profiles combined in a cluster can also be weighted according to their age, with older speed profiles being weighted less than younger speed profiles, and/or according to their distance from the cluster speed profile.

In 4a two cluster velocity profiles are shown as an example, which are assigned probabilities of 30% and 70%, respectively. Of course, it is also possible to determine more than two cluster speed profiles from the set of speed profiles.

In step S4, it is checked whether there is vehicle-to-vehicle communication with a vehicle traveling in front. This can be recognized by querying whether a vehicle driving ahead has recently traveled through the same section of road A. If this is the case (alternative: yes), then the current speed profile just recorded in the vehicle driving ahead is received in vehicle 2 (step S5) and used to adapt the probabilities assigned to the cluster speed profiles. Alternatively, the highly up-to-date information on the current speed profile can also be obtained from the central system 10 or from other devices. If no vehicle driving ahead is determined in step S5 (alternative: no), the process jumps to step S6.

In 4b 1 shows the adjustment of the cluster speed profile probabilities based on receiving one or more current speed profiles provided by the vehicle 15 traveling in front. It can be seen that the cluster speed profile, which is a constant drive for the routes indicates section A with a probability of 30%, has now been increased from 30% to 80% by the fact that the vehicle driving ahead 15 has essentially also traveled through the relevant section A in a constant drive, while the probability of the cluster speed profile is increased after a brief standstill of the vehicle was detected within route section A, was reduced from 70% to 20%.

After the probabilities of all cluster speed profiles have been taken into account in this way, the most probable cluster speed profile for the route section A lying ahead is used in step S6 in order to calculate a speed profile optimized according to an optimization parameter. The optimization parameters can include, for example, fuel consumption, driving comfort (e.g. characterized by the smallest possible number of accelerations or decelerations), or similar parameters. In the case of fuel consumption as an optimization parameter, the calculation step of step S6 can provide for unnecessary acceleration or braking processes to be dispensed with, so that fuel consumption can be reduced.

In 5 shows the most probable speed profile for a route section A and a consumption-optimized speed profile calculated for this as an example. In this case, the calculation attempts to provide the acceleration and braking processes with as little steepness as possible, with the drive torque being removed at an early stage in order to reduce the speed, and any acceleration process not being carried out to the maximum speed of the most probable speed profile in an area with a reduced speed lying ahead becomes. The optimized speed profile is. preferably as high as or lower than the most probable speed profile at any point of the route segment. Under certain circumstances, the optimized speed profile can also exceed the most probable speed profile if a more optimal driving behavior according to the predefined optimization parameters is thereby achieved.

The optimized speed profile obtained in this way is converted into information for the driver in step S7 in that a suggestion for driving behavior is submitted. For example, depending on the speed currently specified by the optimized speed profile for the current vehicle position, the driver can be shown whether the current vehicle speed is above or below this speed. This can be done, for example, acoustically, by suitable light signals, in particular with color coding, or in some other way. Alternatively, the driver can also be presented with a graphical representation of the speed profile of a section of road ahead, which can include all or part of the route section, on a screen display, with the current vehicle speed being indicated in relation to the graphical representation of the speed profile, so that the Driver can adapt his driving behavior so that the vehicle speed corresponds to the optimized speed profile.

Alternatively or additionally, in step S7 the driving recommendation can be provided as information to an autonomous driving system, which automatically adjusts the speed of the vehicle depending on the previously determined optimized speed profile.

Reference List

1

driver assistance system

2

. vehicle

3

computing unit

4

frontend system

5

signaling system

6

communication unit

10

central system

15

vehicle ahead

A

track section

Claims (11)

Method for providing a driving recommendation, in particular to a driver of a motor vehicle (2) or for automatically operating the motor vehicle, with the following steps: - retrieving (S1) a set of speed profiles for a route section (A) lying ahead of the motor vehicle (2), wherein each speed profile indicates a progression of the speed of the motor vehicle (2) along the route section; - determining (S3) a most probable speed profile for the route section (A) from the set of speed profiles; - Determination (S6) of a speed profile optimized according to a predetermined optimization parameter as a function of the most probable speed profile; and - signaling (S7) a driving recommendation depending on the optimized speed profile and depending on the current position of the force vehicle (2), the determination of the most probable speed profile comprising the following steps: - Grouping of one or more similar speed profiles from the set of speed profiles using a pattern recognition method in clusters; - associating a cluster speed profile with each cluster, the cluster speed profile corresponding to a combination, in particular a mean line, of the speed profiles grouped in the cluster; and - assigning probabilities to each of the cluster velocity profiles. ¹ procedure after claim 1 , wherein the one or more speed profiles from a memory of a computer unit (3) located in the motor vehicle (2) and/or from a central system (10) remote from the motor vehicle and/or from a computer unit (3) of another, in particular one on the section (A) of the motor vehicle (15) driving ahead. procedure after claim 1 or 2 , wherein before the grouping of the one or more similar speed profiles from the set of speed profiles in clusters, the speed profiles to be taken into account for the grouping step are selected, in particular according to time information assigned to the speed profiles. procedure after claim 1 or 3 , wherein the assignment of probabilities to each of the cluster speed profiles depends on - the number of similar speed profiles grouped in the cluster, and/or - the distances of the similar speed profiles grouped in the cluster from the cluster speed profile, and/or - of an age of the similar speed profiles grouped in the cluster. Procedure according to one of Claims 1 until 4 , wherein the predefined optimization parameter for determining the optimized speed profile is the driving time, the fuel consumption, in particular the strength and duration of acceleration processes, or the driving comfort, in particular the strength and frequency of acceleration and deceleration processes. Procedure according to one of Claims 1 until 5 , with the length of the section ahead lying between 100 m and 5,000 m. Procedure according to one of Claims 1 until 6 , wherein the signaling (S7) of the driving recommendation is carried out by means of a light signal and/or sound signal depending on the optimized speed profile and depending on the current position of the motor vehicle (2). Procedure according to one of Claims 1 until 7 , wherein the driving recommendation is signaled (S7) depending on the optimized speed profile using a screen display in order to display the optimized speed profile and the current speed. Procedure according to one of Claims 1 until 6 , wherein the signaling (S7) of the driving recommendation is carried out depending on the optimized speed profile to an automatic driving support system. System for providing a driving recommendation to a driver of a motor vehicle (2), with a computer unit (3) which is designed - to call up one or more speed profiles of a route section (A) lying ahead of the motor vehicle (2), the speed profile having a course indicates the speed of the motor vehicle (2) along the route section; - to determine a most probable speed profile for the route section (A); - to determine a speed profile optimized according to a predetermined optimization parameter as a function of the most probable speed profile; and - to signal a driving recommendation depending on the optimized speed profile and depending on the current position of the motor vehicle (2), the determination of the most probable speed profile comprising the following steps: - Grouping of one or more similar speed profiles from the set of speed profiles using a pattern recognition method in clusters; - associating a cluster speed profile with each cluster, the cluster speed profile corresponding to a combination, in particular a mean line, of the speed profiles grouped in the cluster; and - assigning probabilities to each of the cluster velocity profiles. ² Computer program product that contains a program code that is designed to, when it is executed on a data processing unit, the method according to one of Claims 1 until 9 to perform.

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