FR3086384A1 - DISPLAY MANAGEMENT METHOD, CORRESPONDING TERMINAL AND MOTOR VEHICLE - Google Patents

Abstract

The invention relates to a display management method for a navigation system of a terminal (1, 2, 3) in a motor vehicle (V1, V2, V3), between at least two pollution maps (101, 102 , 103) of different spatial resolutions. According to the invention, said method comprises the following steps: - defining at least one selection parameter so as to associate a spatial resolution of the pollution map with a road category, - for each selection parameter, defining at least one threshold value to cause a change in the pollution map display, - locate said vehicle (V1, V2, V3), acquire at least one selection parameter, - compare said at least one selection parameter acquired with said at least one threshold value, - as a function of the comparison result, determining the pollution map (101, 102, 103) to be displayed, and - displaying the determined pollution map (101, 102, 103).

Description

Display management method, terminal and corresponding motor vehicle

The present invention is in the field of motor vehicles, in particular the protection of the occupants of the motor vehicle with respect to air pollution intended for the passenger compartment of the motor vehicle.

The invention relates to a method for managing the display of pollution maps. The invention also relates to a navigation system for a motor vehicle allowing at least in part the implementation of such a method.

Air pollution is more and more problematic and it is the subject of more and more communication.

Certain motor vehicles have one or more devices for measuring pollution levels in motor vehicles, in particular on an air duct of the heating and / or ventilation and / or air conditioning installation, so as to allow the measurement of the rate of certain so-called polluting particles in this air flow.

Such a pollution rate measurement device can be configured to measure the rate of particles of a predefined diameter. One or more air quality management actions can be implemented depending on the pollution levels detected, whether it is an automatic or manual action. It is possible, for example, to trigger an alarm recommending to close the windows of the motor vehicle and / or to change the mode of the heating and / or ventilation and / or air conditioning system, for example to switch to a mode recirculation of the air flow from the passenger compartment.

However, the time to analyze the measurements of the pollution sensors, to detect a level of a pollutant that is too high, when the action is started, the polluted air may have already returned to the passenger compartment.

It is necessary to be able to anticipate when the motor vehicle will enter a pollution zone in order to protect the occupants of the motor vehicle upstream.

It is known to generate a pollution map based on values measured by pollution sensors on board a network of motor vehicles which communicate, pollution sensors make it possible to measure one or more pollutants. There is no modeling for such a map with a representation generally using symbols or dots called dot map or "dot map" in English. However, such a map is generally not very precise and may not be sufficient for example for city traffic.

In addition, in more and more cities, particularly in large cities, pollution sensors have been installed to measure the emission levels of different pollutants. From these measurements and other information such as, but not limited to, the atmospheric conditions or the topography of a place, pollution maps are modeled. These modeled pollution maps can be accessed over a network, on remote data storage platforms. There is also talk of cloud storage.

There are different kinds of pollution maps, notably based on models taking more or less data into account, being more or less complete, and having different spatial resolutions.

For example, maps of spatial resolution at 250 meters are known. Such maps are based on an imprecise pollution dispersion model at the street level, which does not take into account architecture or urban or specific characteristics. Such a map may therefore not be sufficient in the city because the pollution levels are not necessarily the same from one street to another. In cities, due to the density of streets, the plurality of road crossings, crossroads, there is a risk of losing or insufficient information with a pollution map with a spatial resolution of 250 meters.

Other maps are also known which are based on a pollution dispersion model but which with greater spatial resolution, for example at three meters, taking into account the architecture of the city and other urban specificities. However, if this high spatial resolution can be useful in the city, such a spatial resolution generates calculation times, which can be unnecessarily long, for example on the highway, in the countryside, or when there is only one road to to cross. This can affect air quality management and real-time protection for occupants of the motor vehicle. In addition, this high spatial resolution, for example at three meters, does not effectively protect the occupants of the motor vehicle, since a possible polluted area detected at three meters will be exceeded before a quality management action. air could not be switched on, in particular in view of the higher speed of driving on the highway compared to city traffic.

The aim of the invention is to at least partially overcome these problems of the prior art by anticipating areas of pollution which the motor vehicle must pass through with a map of pollution which is sufficiently precise according to the location, while reducing the calculation times, so as to have effective protection in real time for the occupants of a motor vehicle.

To this end, the subject of the invention is a display management method for a navigation system of a terminal of a user in a motor vehicle, between at least two pollution maps of different spatial resolutions, characterized in that that said method comprises the following steps:

define at least one selection parameter between said pollution maps so as to associate a spatial resolution of the pollution map to be displayed with a road category on which said vehicle is capable of driving, for each selection parameter, define at least one value threshold for causing a change in the pollution map display, each threshold value being representative of a change in road category, locating said vehicle, acquiring at least one selection parameter, comparing said at least one selection parameter acquired with said at least one threshold value, as a function of the comparison result, determining the pollution map to be displayed according to the spatial resolution corresponding to the category of road on which said vehicle is located, and displaying the determined pollution map.

Thus, from all the available pollution maps, in particular that one can have from a remote data server via a network, such a method makes it possible to display the pollution map most suited to the use made of the motor vehicle, without over-information when it is not useful.

In the city, for example in intramural Paris, a pollution map of high spatial resolution, for example three meters away, is displayed, and a pollution map of lower spatial resolution but sufficient is displayed in the countryside or on the highway. It is thus possible to have transitions of views between a map of urban pollution and a map of extra-urban pollution.

The method may further include one or more of the following characteristics, taken separately or in combination.

Said at least one defined threshold value can be fixed.

Alternatively, said at least one threshold value can be adapted. Said method can be implemented according to at least one learning sequence making it possible to adapt the threshold values of said at least one selection parameter.

Said method can include the following learning sub-steps:

when said at least one selection parameter reaches a predefined threshold value, compare along at least a portion of the road, the pollution data of the displayed pollution map with reference pollution data, and according to the results of comparison, adapt the threshold value for switching display between the pollution maps, at least for said portion of road.

According to an alternative embodiment, the reference data are pollution data from a pollution map of another spatial resolution than the displayed pollution map. According to another alternative embodiment, the reference data are pollution measurements of at least one pollution sensor on board in the motor vehicle.

As a variant or in addition, the learning sequence may involve collecting and analyzing data when the user interacts with the navigation system of the terminal, in particular when a pollution map is displayed.

Said at least one selection parameter can be read or measured by the navigation system.

As a variant, said at least one selection parameter can be accessible from a remote data server and received by the navigation system.

According to one aspect of the invention, at least one selection parameter is chosen from the following list: the population density of the place where said vehicle is located, the density of streets of the place where said vehicle is located, the density of traffic sensors pollution at the place where said vehicle is located, the speed of the motor vehicle, the topography of the place where said vehicle is located, the density of greenery, the identification of at least one body of water.

According to one aspect of the invention, said method can be adapted for a navigation system configured to display a navigation map with an automatic change of scale depending on the location where said vehicle is located. At the display stage of said process, a mixed navigation and pollution map can be displayed.

In particular, said at least one parameter for selecting between said pollution maps may be the parameter for changing the scale of the navigation map.

Said method may include a step of entering a starting position and a destination via a data entry interface, for example from the terminal.

Depending on the journey entered and the data representative of the pollution on this journey, the method may include a step of switching on at least one action for managing the air quality in said vehicle.

According to yet another aspect of the invention, said method may include a step of associating a city road with a spatial resolution of the pollution map to be displayed on the order of or less than three meters. Said method can include a step of associating a road on the outskirts or in the countryside or a motorway, with a spatial resolution of the pollution map to be displayed in the order of or greater than 250 meters.

According to an alternative embodiment, the pollution map can be selected from modeled pollution maps accessible from a remote data storage platform via a network.

As a variant or in addition, said method may include a step of generating a pollution map to be displayed from data received from pollution sensors placed on motor vehicles in the vicinity of the user's motor vehicle.

The pollution map is for example generated so as to represent the spatial distribution of the level of pollution on the road on which the motor vehicle is traveling, in the form of points having different characteristics depending on the level of pollution. The points on the pollution map generated are for example of different shades, colors, or shades, and / or of different shapes and / or of different sizes according to the level of pollution.

The invention also relates to a terminal configured to at least partially implement said method as defined above.

The terminal may include a navigation system, a display interface and at least one telecommunication means for exchanging data with a remote data server comprising at least one remote data storage platform in which are stored cards. pollution.

The terminal can include at least one configured processing means:

to record positioning coordinates, to acquire at least one selection parameter, to compare said at least selection parameter to at least one threshold value, to determine according to the comparison result, the pollution map to be displayed according to the spatial resolution corresponding to the category of road on which said vehicle is located.

According to one aspect of the invention, the navigation system is a satellite mapping and routing system.

According to an alternative embodiment, the terminal is a fixed terminal on board the motor vehicle.

According to another variant, the terminal is a mobile terminal of the user.

The invention also relates to a motor vehicle comprising such a terminal on board said vehicle.

Said vehicle may include at least one pollution sensor.

Said vehicle may include at least one control unit configured to trigger at least one action for managing the air quality in said vehicle.

Other characteristics and advantages of the invention will emerge on reading the description which follows, with reference to the appended figures, among which:

FIG. 1 schematically represents motor vehicles connected to each other and to a remote data server, FIG. 2 illustrates a first example of a modeled pollution map accessible from the remote data server, FIG. 3 illustrates a second example of map pollution model accessible from the remote data server, FIG. 4 illustrates an example of a pollution map generated from pollution sensors on motor vehicles, and FIG. 5 is a simplified flowchart showing the steps of the management method display of pollution maps.

In these figures, identical elements have the same references.

The following embodiments are examples given by way of illustration of the subject of the invention. The invention is not limited to these embodiments. Although the description refers to one or more embodiments, this does not necessarily mean that each reference relates to the same embodiment, or that the characteristics apply only to one embodiment. Simple features of different embodiments can also be combined or interchanged to provide other embodiments.

In the description one can index certain elements, in other words one can for example mention a first element or a second element. In this case, it is a simple indexing to differentiate and name similar but not identical elements. This indexing does not imply a priority of an element, compared to another. One can easily interchange such names without departing from the scope of the present invention.

With reference to FIG. 1, the invention relates to a display management method making it possible to adapt the display of a pollution map 101, 102, 103 for a navigation system of a terminal 1, 2, 3 of a user.

FIG. 1 shows schematically motor vehicles VI, V2, V3. Each motor vehicle VI, V2, V3 may or may not include at least one pollution sensor SI, S3. Pollution sensors SI, S3 are also designated by mobile pollution sensors as opposed to fixed pollution sensors designed to model pollution maps.

Motor vehicles VI, V2, V3 may or may not be connected to each other and / or with a remote data server 100, that is to say capable or not of exchanging data between them and / or with the data server 100 remote.

In the nonlimiting example illustrated in FIG. 1, the vehicles VI and V3 are configured to exchange with the remote data server 100, via a network. In this example, these vehicles VI and V3 can also exchange with neighboring vehicles.

Advantageously, motor vehicles VI, V3 include at least one control unit configured to trigger at least one action for managing the air quality in said vehicle, such as an air purification or visual alarm function. and / or sound or of an automatic action of closing the windows and / or switching to a recycling mode, after detection that the motor vehicle will enter an area with a high level of pollution for example using the sensor of pollution SI, S3, and / or using a pollution card 101, 102, 103.

The remote data server 100 notably comprises at least one remote data storage platform DB in which the pollution maps 101, 102, 103 are stored. These pollution maps 101, 102, 103 may have different spatial resolutions. The pollution maps 101, 102 are maps modeled on the basis of data collected by fixed pollution sensors intended to measure the emission levels of different pollutants.

The pollution map 101, an example of which is shown diagrammatically in FIG. 2, is for example constructed from a model of dispersion of pollutants, not very precise at street level, for example with a spatial resolution at 250 meters. The model can take into account geographic data such as the global elevation change but not the architecture or urban characteristics or specificities. Therefore, the card 101 may not anticipate an urban canyon phenomenon.

Such a map 101 allows for example to display globally zones of different pollution levels for a given region. As a simple illustration, zones ZA, ZB and ZC are shown diagrammatically in FIG. 2. Zone ZA corresponds for example to a level of pollution of one or more pollutants considered to be high, zone ZB to a level of average pollution , and the ZC zone at a low level of pollution.

The model can be enriched with so-called mobile measurements, that is to say from pollution sensors SI, S3 provided on motor vehicles. In this case, maps are obtained which combine the source data for modeling and the data from the mobile sensors SI, S3. Such maps are then more linked to traffic in real time than maps modeled only from source data which are based, for example, on hourly estimates.

The pollution map 102, an example of which is shown diagrammatically in FIG. 3, can be constructed from a more precise pollutant dispersion model at street level compared to the previous pollution map 101, for example with spatial resolution at three meters. The model takes into account, for example, urban planning data, architecture and other urban characteristics or specificities. Unlike the first map 101, the pollution level ZA, medium ZB, or low ZC is represented street by street.

As before, the model can possibly be enriched with so-called mobile measurements, that is to say from pollution sensors SI, S2, S3 provided on motor vehicles.

In the example illustrated in FIGS. 1 to 3, two maps 101, 102 modeled are shown diagrammatically, but one or more other maps of intermediate spatial resolution can be provided.

The pollution map 103, an example of which is shown diagrammatically in FIG. 4, is not a modeled map, unlike the pollution maps 101, 102. The pollution map 103 makes it possible to represent the spatial distribution of the pollution level in the form of symbols such as as points having different characteristics depending on the level of pollution, based on the values measured by the pollution sensors SI, S3 on board the motor vehicles VI, V3. We speak of a dot map or "dot map" in English.

The points on the pollution map 103 are for example of different shades, colors, or shades, and / or of different shapes and / or of different sizes according to the high pollution level ZA, medium ZB, low ZC. In the example of FIG. 4, the points are represented with different hatching or without hatching to differentiate the level of pollution.

Referring again to Figure 1, each terminal 1, 2 or 3 has access to the different pollution maps 101, 102, 103 through the network.

Each terminal 1, 2, 3 is adapted for a motor vehicle or is embedded in a motor vehicle VI, V2, V3.

By way of illustrative example, the terminal 1, respectively 3, may be a fixed terminal, on board the motor vehicle VI, respectively V3.

Alternatively, the terminal 2 can be a mobile terminal of a user in the motor vehicle V2.

By terminal is meant any type of equipment capable of exchanging data, requests, messages and other content with the remote data server 100.

The mobile terminal can be a so-called smart cell phone, more commonly called "Smartphone" by Anglicism, or even a tablet.

In particular, the navigation systems of the terminals 1, 2, 3 are geolocation or geo-positioning systems by satellite called GPS and routing.

Each terminal 1, 2 or 3 has a display interface il, i2 or i3 making it possible to display in particular one or more navigation or pollution maps or combining both navigation and pollution data, in other words a mixed map navigation and pollution.

According to a particular embodiment, the navigation system of each terminal 1, 2 or 3 can be configured to display a navigation map with an automatic change of scale depending on the place where the vehicle is located, for example the display can be zoomed in when the motor vehicle VI, V2 or V3 enters an urban area.

Each terminal 1, 2 or 3 comprises one or more processing means making it possible to at least partially implement the display management method described below. In particular, the processing means may comprise one or more of the means from one or more telecommunication or telematic means, at least one computer, a processor and / or any other hardware making it possible to execute software or not, a circuit integrated specific to an application known by the acronym ASIC, a read only memory known by the acronym ROM, a random access memory known by the acronym RAM, or other memory, or other conventional or personalized hardware.

According to the embodiments described, each terminal 1, 2 or 3 comprises at least one processing means forming telecommunication means for exchanging data with the remote data server 100.

In addition, at least one processing means can be configured to take up positioning coordinates.

The same or another processing means can be configured to acquire at least one selection parameter making it possible to choose a pollution map 101, 102, 103 to be displayed.

The processing means or means can also be configured to compare each selection parameter with at least one threshold value.

Also, the processing means or means of a navigation system 1, 2 or 3 can also be configured to determine according to the comparison result, the pollution map to be displayed according to the spatial resolution corresponding to the road category on which said vehicle is located.

In particular, within a terminal 1, 2 or 3, at least one processing means can collect data representative of the place where said vehicle is located. Another or the same processing means can analyze the data collected so as to detect when one or more selection parameters exceed a threshold value.

As an alternative, at least some of these processing means can be provided at a data processing platform of the remote data server 100.

The selection parameters are the parameters to be analyzed to determine which pollution map 101, 102, 103 to display.

As an example of a selection parameter, there may be mentioned, without limitation, the population density of the place where said vehicle is located, the density of streets of the place where said vehicle is located, the density of pollution sensors on the place where said vehicle is located, the speed of the motor vehicle, the topography of the place where said vehicle is located, the density of greenery, the identification of a body of water.

Thus, a high population density and / or a large number of streets and / or a large number of pollution sensors and / or a low vehicle speed can correspond to city traffic. Conversely, a low population density and / or a limited number of streets and / or a low number or even the absence of pollution sensors and / or a high vehicle speed and / or a high density of greenery and / or the identification of a body of water can correspond to an extra-urban circulation.

For a navigation system configured to display a navigation map with an automatic change of scale, that is to say a zoom in or zoom out or zoom out, depending on where the corresponding motor vehicle VI is located, V2 or V3, a selection parameter can be the change of scale parameter of the navigation map.

The method for managing the display between at least two pollution maps 101, 102, 103 of different spatial resolutions is described below. Pollution maps 101, 102, 103 can be displayed on the display interface il, i2, i3 of a terminal 1, 2 or 3.

The display management method can be implemented using one or more processing means of a corresponding terminal 1, 2 or 3 as described above.

As a variant or in addition, at least certain steps of the display management method can be implemented at the remote data server 100.

In the following description, we consider the example according to which the method is implemented for a user in the motor vehicle VI. Of course, this description also applies to other motor vehicles V2, V3.

The method makes it possible to adapt the pollution map 101, 102, 103 to be displayed as a function of the location of the motor vehicle V1.

To do this, with reference to FIGS. 1 and 5, the method comprises a first step E1 in which one or more parameters for selecting between the pollution maps 101, 102, 103 are defined.

A correspondence can thus be defined between a spatial resolution of the pollution map and a category of road on which the motor vehicle may be required to travel.

For example, for traffic on a city road, the pollution map to be displayed must be of high spatial resolution, for example with a spatial resolution of the order of three meters or less. Indeed, in town the level of traffic and pollution is very different from one street to another due to the typology of the town, the presence of walls, the phenomenon of urban canyon, or other specificities.

For traffic on a road on the outskirts or in the countryside or on a motorway, the pollution map to be displayed may be of lower spatial resolution, for example of the order of 250 meters or even more.

The method comprises, for each selection parameter, at least a second step E2 of defining at least one threshold value to cause a change in the display of the pollution map. Each threshold value is representative of a change in road category. In other words, we are trying to identify the values of the parameters that are representative of areas where we want to change the pollution map.

If a certain threshold value is exceeded, the display switches between two pollution maps.

Several threshold values can also be provided.

The threshold values defined in step E2 can be fixed.

According to an alternative embodiment, the threshold values can be adapted. To do this, the method can operate or be implemented according to a sequence or a learning mode, as detailed below, making it possible to adapt and develop the threshold values fixed at the start by using data collected during different iterations of the process. Indeed, geographic boundaries may change over time. The quality of pollution maps may also be enhanced over time or through use.

The first two steps E1, E2 can be implemented as soon as the process starts, for example when the navigation system of the terminal 1 is activated or more precisely when an air quality management application is launched. Alternatively, these may be preliminary steps carried out prior to the activation of the navigation system of terminal 1 or the application.

The method further comprises a step E3 of locating the motor vehicle VI from the navigation system. This location is indicated by an R or R ’mark displayed on a pollution map 101 or 102 (see Figure 2 or 3).

It may or may not be provided for a prior step of entering or reading a starting position and entering a destination via a data entry interface of the terminal 1. The entry interface can be formed by the interface d display there, in particular in the case of a terminal 1 with a touch screen display.

Referring again to Figures 1 and 5, the method further comprises a step E4 of acquiring at least one previously defined selection parameter.

Depending on the selection parameter, it may be a measurement or data exchange step with the server 100 for example.

In other words, in step E4, at least one selection parameter can be raised or measured by a processing means of the terminal 1, for example of the navigation system. We can cite for example the speed of the motor vehicle.

As a variant or in addition, at least one selection parameter can be accessible from the remote data server 100 and received by the terminal 1. Mention may in particular be made of the population density or the density of streets.

The method further comprises a step E5 of comparing the or each selection parameter acquired with the corresponding threshold value.

In step E6, as a function of the comparison result carried out in step E5, the pollution map to be displayed can be determined according to the spatial resolution corresponding to the category of road on which the motor vehicle V1 is located. The pollution map to be displayed is advantageously selected from the pollution maps stored on the remote data platform DB.

By way of nonlimiting example, beyond a certain population density, for example 160 or 250 inhabitants per km ² , and / or of roads, the pollution map to be displayed preferably has a spatial resolution at 3m. Below this certain population and / or road density, the pollution map to be displayed preferably has a spatial resolution of 250m.

If several threshold values are defined, for example, a threshold value of 100 inhabitants per km ² , and another one of 500 inhabitants per km ² , when the population density is less than or equal to 100 inhabitants per km ² , the map to display must be of low spatial resolution. When the population density is greater than or equal to 500 inhabitants per km ² , the map to be displayed must be of high spatial resolution, for example at three meters. On the range between the two threshold values, the map to be displayed can be of intermediate spatial resolution.

Another example only illustrative would be that for an agglomeration with a population lower than 2000 inhabitants the map to be displayed would be of low spatial resolution, beyond 5000 inhabitants, the map to be displayed would be of high spatial resolution, for example at three meters, and for a population between 2000 and 5000 inhabitants, the map to be displayed would be the intermediate spatial resolution map, for example at 250 meters.

According to yet another example, using the density of pollution sensors as a selection parameter, a threshold value of 0.1 sensor per km ^{2 can be provided} , and another at

0.2 sensor per km ² . In this example, when the sensor density is less than or equal to 0.1 sensor per km ² , the map to be displayed must be of low spatial resolution. When the density of pollution sensors is greater than or equal to 0.2 sensors per km ² , the map to be displayed must be of high spatial resolution, for example at three meters. On the range between 0.1 and 0.2 sensors per km ² , the map to be displayed can be of intermediate spatial resolution. Several threshold values for the speed of the motor vehicle can also be considered. The values of different selection parameters can be crossed. For example, a decision matrix can be defined with several input selection parameters.

In step E7, the determined pollution map is displayed on the display interface II.

When the threshold values of a selection parameter can be adapted by learning, different embodiments are possible.

When the selection parameter reaches a predefined threshold value, the pollution data of the displayed pollution map can be compared with reference pollution data along at least a portion of the road, and according to the comparison results, the threshold value for the display switching between the two pollution maps 101, 102, can be adapted at least for this portion of road.

According to an alternative embodiment, the reference data are pollution data from a pollution map of another spatial resolution than the displayed pollution map. The learning mode or sequence can therefore be done outside the motor vehicle, that is to say without using local data.

Such a mode involves using, at the start of the navigation system of the terminal 1 or of the application, the predefined threshold values, and during iterations of the method of collecting and comparing the data accessible for two pollution maps, preferably around a threshold value set at the start of a selection parameter.

To do this, the method can include the following learning sub-steps. When the selection parameter reaches a predefined threshold value, the pollution data accessible from at least two pollution maps 101, 102 of different spatial resolutions, in particular the pollution variations, can be collected / recorded and compared along at least a portion of the road. If significant pollution variations are indicated with the higher spatial resolution pollution map, the higher spatial resolution pollution map must be displayed and the threshold value for the display switching between the two pollution maps 101, 102, can be adapted if necessary at least for said portion of road.

By way of example, when the motor vehicle VI enters or is located in an area considered to be a non-urban area on the basis of the selection parameter noted as the population or road density, the map 102 known as high spatial resolution, for example at 3m, and the map 101 of poorer spatial resolution, for example at 250m, can be compared. If the high spatial resolution map 102 indicates significant variations in pollution along the route or portion of route considered, and there is a loss of this information with the map 101 of less good spatial resolution, then the value threshold for display switching can be adapted, at least for this portion of road, so that it is the high spatial resolution map 102 which is displayed for this route or portion of route.

The variations in pollution considered to be negligible or non-negligible can be predefined.

As the process iterates, this makes it possible to redefine the tilting threshold values, to adjust them and thus to show the most appropriate pollution map.

Conversely, if it turns out that the map 102 of high spatial resolution indicates pollution variations this time negligible compared to the pollution data of the map 101 of poorer spatial resolution, there is therefore no loss of information. In this case, the display switchover to display the pollution map of lower spatial resolution is relevant and the threshold value for the switchover is not modified.

In a complementary way, learning can also be done when the motor vehicle V1 enters an area considered to be an urban area, by comparing two pollution maps to identify whether there is a loss of information or not from the map pollution of lower spatial resolution compared to the pollution variations indicated with the high spatial resolution pollution map. In other words, if on a range close to the threshold values, the pollution data of the two pollution maps 101, 102 are equal, that is to say that the pollution data of the pollution map 101 less good spatial resolution is sufficient, the display switching limit between the two pollution maps 101, 102 can be moved and refined.

As a variant or addition, the relative accuracy of each card can be compared with at least one piece of data from the motor vehicle VL

The learning sequence may involve comparing the data accessible from a pollution map which is displayed when a threshold value has been reached, with the data measured by the pollution sensor SI on board the motor vehicle VI. In this case, it may be a local learning from data coming from the motor vehicle VI.

In this case, the reference data are the pollution measurements of the pollution sensor SI.

In other words, when the navigation system of terminal 1 or the application is started, the predefined threshold values are used and the mobile measurements of the on-board pollution sensor (s) SI make it possible to check whether these threshold values are adequate or not. . In other words, during iterations of the method, when a threshold value for switching the display is reached, it is checked whether there is no loss of information between the pollution data of the pollution map displayed and the mobile measurements.

To do this, the method can include the following learning sub-steps. When the selection parameter reaches a predefined threshold value, the pollution data accessible from the displayed pollution map are compared with the measurements of the pollution sensor S1 on board along at least a portion of the route. Depending on the comparison results, if non-negligible pollution variations are indicated with the pollution sensor pollution measurements, the pollution map with the highest spatial resolution must be displayed and the threshold value can be adapted if need for display switching between the two pollution maps 101, 102, at least for this portion of road.

For example, when the motor vehicle VI is located in an area considered to be a non-urban area from the selection parameter noted as the population or road density and it is the pollution map 101 less good spatial resolution which is displayed, if the mobile measurements indicate significant variations in pollution along the route or portion of route considered, and there is a loss of this information with the map 101 of poorer spatial resolution, then the threshold value for the display switching can be adapted, at least for this portion of road, so that it is the pollution map 102 of high spatial resolution which is displayed for this route or portion of route.

As before, the pollution variations considered to be negligible or non-negligible can be predefined.

Conversely, if the pollution variations of the mobile measurements are negligible, the threshold value for the tilting is not modified.

As before, learning can also be done when the motor vehicle V1 enters an area considered to be an urban area.

As a variant or in addition, the learning sequence may involve collecting and analyzing data when the user interacts with the navigation system of the terminal 1, in particular when a pollution map is displayed. We can speak in this case of customary learning.

Preferences of the user can be saved by choice of a pollution map compared to another for example depending on the aesthetics of the graphics of one of these maps, or if the user considers one of the two pollution maps as more intuitive or relevant. To do this, the method can include one or more sub-steps for memorizing user actions via the terminal 1 when the method is implemented, and / or for entries during which the user enters his display preferences via terminal 1.

Furthermore, for a navigation system configured to display a navigation map with an automatic change of scale as a function of the place where the corresponding motor vehicle VI is located, in step E5 the parameter noted is the change of parameter scale of the navigation map. And, step E6 is an analysis step to identify whether the scaling parameter of the navigation map reaches the predefined threshold value for zooming in or out. This allows you to manage at the same time in step E7 the display for geolocation and for pollution.

If a zoom in is carried out, the pollution map 102 with high spatial resolution is displayed to obtain a precise indication of the level of pollution where the motor vehicle V1 is located.

If a zoom out or zoom is carried out, the pollution map 101 of intermediate spatial resolution or a pollution map of low spatial resolution, is displayed, to obtain an indication of the level of pollution for a region in which the motor vehicle VI is located. .

Furthermore, the method may include a step E8 of generating a pollution map to be displayed from the measurements taken by the mobile pollution sensors SI, S3 provided on motor vehicles VI, V3 and which communicate with each other.

The resulting pollution map 103 is close to real-time traffic.

Such a card can be useful especially in the event of poor network coverage.

According to an alternative embodiment, it is possible to collect source data which are used for modeling pollution maps 101, 102 on the remote data server 100 when it is accessible via the network as well as the pollution measurements. noted by the pollution sensors SI, S3 (Figure 1). The common data between the pollution sensors SI, S3 and the source data can then be used to extrapolate in the event of missing data, for example when there is no longer network coverage, in order to continue to display a map of pollution 103 by building it from the measurements of the on-board sensor S1 on the motor vehicle V1.

The pollution maps 101, 102 or 103 make it possible to monitor and detect when the motor vehicle VI is going to enter an area with a high level of pollution ZA. It is possible to anticipate this when a destination is entered via the navigation system, depending on the route entered and the data representative of the pollution on this route.

The method may include a step E9 for triggering at least one action for managing the air quality in the motor vehicle VI, such as an air purification or alarm function. It can be the display of an alarm message, a recommendation to close the windows and / or switch to manual recycling mode, and / or an audible alarm or an action automatic closing of windows and / or switching to recycling mode.

Thus, thanks to the navigation system on board the VI, V3 motor vehicle or on the user's smart phone, it is possible to detect whether the VI, V2 or V3 motor vehicle is traveling in the city or in an extra-urban environment. Thanks to these data, the pollution map 101, 102, 103 can be adapted to be precise in the city and less precise in extra-urban areas depending on the actual need.

Finally, the pollution sensors SI, S3 on at least certain motor vehicles VI, V3 can help with construction or participate in adding information to the pollution map 101, 102, 103 to be displayed.

Claims (10)

1. Display management method for a navigation system of a terminal (1, 2, 3) of a user in a motor vehicle (VI, V2, V3), between at least two pollution maps (101, 102, 103) of different spatial resolutions, characterized in that said method comprises the following steps: defining at least one selection parameter between said pollution maps (101, 102, 103) so as to associate a spatial resolution of the pollution map to be displayed with a category of road on which said vehicle (VI, V2, V3) is suitable to drive, for each selection parameter, define at least one threshold value to cause a change in the pollution map display, each threshold value being representative of a change in road category, locate said vehicle (VI, V2, V3 ), acquire at least one selection parameter, compare said at least one selection parameter acquired with said at least one threshold value, as a function of the comparison result, determine the pollution map (101, 102, 103) to be displayed according to the spatial resolution corresponding to the category of road on which said vehicle (VI, V2, V3) is located, and display the pollution map (101, 102, 103) determined. 2. Method according to claim 1, wherein said at least one defined threshold value is fixed. 3. Method according to claim 1, configured to be implemented according to at least one learning sequence making it possible to adapt the threshold values of said at least one selection parameter, and comprising the following learning sub-steps: when said at least one selection parameter reaches a predefined threshold value, compare along at least a portion of the road, the pollution data of the displayed pollution map with reference pollution data, and as a function of the comparison results, adapt the threshold value for switching display between the pollution maps (101, 102, 103), at least for said portion of road. 4. Method according to any one of claims 1 to 3, in which at least one selection parameter is chosen from the following list: the population density of the place where said vehicle is located, the density of streets of the place where said vehicle is located, the density of pollution sensors at the place where said vehicle is located, the speed of the motor vehicle, the topography of the place where said vehicle is located, the density of greenery, the identification of at least one plan of water. 5. Method according to claim 1, for a navigation system configured to display a navigation map with an automatic change of scale according to the place where said vehicle is located (VI, V2, V3), in which: in the display step, a mixed navigation and pollution map is displayed, and in which said at least one parameter for selecting between said pollution maps (101, 102, 103) is the change of scale parameter of the navigation map. 6. Method according to any one of the preceding claims, comprises the following steps: associate a city road with a spatial resolution of the pollution map to be displayed on the order of or less than three meters, and associate a road on the outskirts or in the countryside or a motorway with a spatial resolution of the pollution map to be displayed around 250 meters or more. 7. Method according to any one of claims 1 to 6, in which the pollution map (101, 102) is selected from modeled pollution maps accessible from a remote data storage platform (DB) by the through a network. 8. Method according to any one of claims 1 to 6, comprising a step of generating a pollution map (103) to be displayed from data received from pollution sensors (SI, S2, S3) arranged on vehicles automobiles in the vicinity of the user's motor vehicle. 9. Terminal (1, 2, 3) comprising a navigation system, a display interface (il, i2, i3) and at least one telecommunication means for exchanging data with a remote data server (100) comprising at at least one remote data storage platform (DB) in which pollution maps are stored (101, 102, 103), characterized in that said terminal (1, 2, 3) comprises at least one processing means configured : 5 - to take up positioning coordinates, to acquire at least one selection parameter, to compare said at least selection parameter with at least one threshold value, to determine as a function of the comparison result, the pollution map (101, 102 , 103) to be displayed according to the spatial resolution corresponding to the category of road on which said vehicle is located. 10. Motor vehicle (VI, V3) comprising a terminal (1, 3) according to the preceding claim on board said vehicle (VI, V3).