Method and selection system for selecting a vehicle of a ride-sharing service

Abstract

Method for selecting a vehicle (12) of a ride-sharing service, comprising the steps: a) Requests (S10) for a ride-sharing service journey using a mobile device (14); b) determining (S12) the vehicle (12) of the ride-sharing service that corresponds to the request; c) determining (S14) a vehicle situation of the vehicle (12) by means of a sensor device (16), wherein the vehicle situation comprises a behavior parameter of at least one vehicle occupant (24, 26, 28); d) providing (S16) the vehicle situation for the mobile terminal (14); e) selecting (S18) the vehicle (12) depending on the vehicle situation, characterized in that in the booking request in step a) a start time for the ride-sharing service journey is specified, wherein in step d) the vehicle situation is supplemented with probable vehicle situation information which is expected at the start time of the journey, wherein the probable vehicle situation information comprises regularities which are provided as vehicle situation information.

Description

The invention relates to a method and a selection system for selecting a vehicle of a ridesharing service.Automobiles and minibuses are increasingly being used as a passenger in the context of driving services by a plurality of vehicle occupants who are different from one another. In this use, conflicts are to be anticipated, for example with respect to food intake, music volume, conversation, etc. However, these conflicts cannot be detected or can be taken into account before a ride with the rideshare service.US 2005 / 0 049 781 A1 discloses a method and a system for providing support in the formation of driving community using a wireless communication system. The method includes receiving a user driving community write request, obtaining a position information of the user's driving vehicle, storing the position information as a route in a call center database, and sending at least one available hit to the user based on the driving service request.US 2016 / 0 236 621 A1 discloses a vehicle-mounted system for recording video and audio.US 2019 / 0 265 868 A1 discloses systems and methods of a vehicle for sharing controls of the vehicle. Herein, an approximate location of a wearable device of the user in the vehicle is identified, identifying a seat of the user in the vehicle, and enabling control of settings or functions related to an environment near the seat of the user.US 2018 / 0 225 734 A1 discloses a booking system for a drive-along center, in which an interior state of a vehicle and furthermore a fill level of an onboard proviant of the vehicle are determined by means of a camera system and a computing unit by means of computer-based image processing.From DE 10 2019 100 574 A1, a accounting system for a ride-sharing center is also known, in which vehicle and passenger selection based on commonities of user profiles is carried out under the compromise of a user load evaluation. During the trip, the passenger is coordinated with the vehicle environment during the trip on the basis of the individual user profiles.US 2019 / 0 050 742 A1 likewise discloses a booking system for a drive-sharing center, in which vehicle and passenger selection is carried out based on common features of user profiles and, during the journey, the behavior of the individual passengers is observed by a vehicle interior monitoring system based on sound, image and odor recordings, in order to determine which users are well tolerated or not during the journey and the respective user profile is then updated for future journeys.The invention is based on the object of improving a selection process of a vehicle of a ridesharing service.The object is achieved by the subject matters of the independent claims. Advantageous refinements of the invention are disclosed by the dependent patent claims, the following description and the figures.The invention is based on the insight that a selection of a vehicle from a ridesharing service can be improved according to the own wishes by knowing a current situation before booking the vehicle. By recording the current vehicle situation by means of a sensor device, this information can be displayed to a user before a travel start, for example during the booking or selection of the vehicle of the ride-sharing service, and can be taken into account in the selection process.The invention provides a method for selecting a vehicle of a ridesharing service. A "ridesharing service" is understood to mean a transportation of persons that takes place independently of a travel plan, wherein passengers can have a route of a vehicle of the ridesharing service displayed on a mobile terminal and can get in and out at various positions via a request to the vehicle. An automobile or small bus is usually used as the vehicle of the ridesharing service.The method comprises as step a) requesting a journey of the ridesharing service by means of a mobile terminal, as step b) determining at least one vehicle of the ridesharing service which corresponds to the request, and as step c) ascertaining a vehicle situation of the vehicle by means of a sensor device, wherein the vehicle situation comprises a behavior parameter of at least one vehicle occupant. As step d), the method comprises providing the vehicle situation to the mobile terminal and as step e) selecting the vehicle depending on the vehicle situation.In other words, a request for a booking with a journey of the sharing service is first made. The request can be made by means of a mobile terminal, wherein the mobile terminal can be, for example, a smartphone, tablet PC and laptop. The request for the trip can comprise, for example, a desired starting and destination location and a time at which the trip would like to be joined. On the basis of this request, vehicles of the sharing service can then be determined which travel in the desired area in the period of time. This can be carried out, for example, by a program on a server of the ridesharing service.For the vehicles of the ride-sharing service that correspond to the request, the vehicle situation can then be determined by means of a sensor direction, wherein the vehicle situation comprises a behavior parameter of at least one vehicle occupant. This means that in particular the behavior parameter is determined by one or more vehicle occupants.Behavior parameters mean that a behavior of the vehicle occupant, which changes the vehicle situation, is parameterized using technical measurement methods. For example, a behavior can comprise an interaction of the vehicle occupants with one another, a development of smell by an eating vehicle occupant, a loud conversation between two vehicle occupants or a contamination of a vehicle interior by the vehicle occupant, which could lead to an impairment of the journey for the user.The behavior parameter can be determined, for example, by analyzing measurement data of the sensor device for exceeding or falling below threshold values, for example, exceeding a threshold value of a volume. In particular, a measured value can be classified and evaluated by the behavior parameter into a category of a behavior. For example, a category of volume or odor development can be provided and from measurement data of the sensor device, the behavior parameter of this category can then be evaluated as low, average or high, for example, by comparing the measurement data with predefined values or value ranges. Sensor data from different devices of the sensor device can preferably also be fused in order to determine the behavior parameter.In addition to the behavior parameter, the vehicle situation can also comprise technical information of the vehicle and information about the number, age and sex of the vehicle occupants.For determining the behavior parameter, the sensor device can have sensors for sensing optical, acoustic and olfactory signals, such as a camera, a microphone and an odor sensor. Furthermore, an analysis device can be provided which can analyze the signals recorded by the sensor device and determine the behavior parameter of one or more vehicle occupants on the basis of the analysis.The vehicle situation determined in this way can then be provided for the mobile terminal of the user. The vehicle situation could be transmitted, for example, by means of an evaluation table in which, for example, criteria selected by a user are specified in accordance with a scale. Finally, the user or the mobile terminal can select the appropriate vehicle of the ride-sharing service as a function of the ascertained vehicle situation. That is, for example, if the vehicle situation matches user preferences, that vehicle may be selected. Otherwise, for example, the selection may be omitted, and another vehicle may be selected.The invention has the advantage that a user can be provided with a plurality of items of information when selecting a vehicle of a ridesharing service, as a result of which the user can make a selection in accordance with his preferences. This can improve a user's selection and thus satisfaction for sharing the ridesharing service.According to the invention, it is provided that, in the case of the booking request, in step a) a starting time for the journey of the sharing service is specified, wherein in step d) the vehicle situation is supplemented with an item of expected vehicle situation information at the starting time. In other words, a user may indicate when the ride with the ridesharing service is to take place, and then an expected vehicle situation at this start time may be determined with the expected vehicle situation information. For example, irregularities may occur at certain times that affect the vehicle situation. For example, the anticipated vehicle situation information may include data of a weather service, whereby the vehicle situation may indicate, for example, an increased soiling of the vehicle interior due to poor weather. A further anticipated vehicle situation information can be, for example, that at occupation time an increased occupancy by occupation-effective vehicle occupants who travel from or to their work station is to be expected. This embodiment has the advantage that a future vehicle situation can be estimated and the selection of the vehicle is thus further improved.When a start time for the travel has been specified, the vehicle situation may be supplemented with prospective vehicle situation information expected at the start time of the travel. For example, irregularities may occur that can be provided to a user as vehicle situation information. In particular, at spring, noon and evening times of the frequent use of food in the vehicle or travel during schools may mean that frequent youths with loud music are seated in the vehicle.A user can use this anticipated vehicle situation information to select, for example, a period of time for the trip in which he is likely not exposed to any of these factors possibly repelling him. In particular shortly before the start of travel, the information can be extremely precise and could also be transmitted to the user's mobile telephone as a live camera image, for example. The user can then, for example, see from the information of the vehicle situation whether some people are in feierlane, something will be eat, or whether all occupants in the vehicle prefer to sleep or read. With this information, on the one hand, the inhibition threshold for the use of a service provider (follow-up service) is reduced. Further, the user can more specifically select a vehicle corresponding to his own plans, for example, a vehicle with concentrated mood on the way to the presentation conversation.The invention also includes embodiments which provide additional advantages.One embodiment provides that the sensor device records the at least one vehicle occupant by means of an image recording device, wherein a mimic and / or gesture of the recorded vehicle occupant is analyzed and the behavior parameter is ascertained on the basis of the analysis. In other words, the sensor device comprises an image recording device, which can be a camera, for example. This can accommodate, for example, the interior of the vehicle and the persons located therein. In this case, a vehicle occupant can be recorded whose mimic and / or gesture can be analyzed, for example, by an analysis device by means of image recognition software.For example, the image recognition software may recognize an excitation state or a mood state of the vehicle occupant through mimic and / or gesture. An interaction between two vehicle occupants can also take place, such as a stell, and aggressive behavior can be determined as the behavior parameter on the basis of the mimic and / or the gesture. This behavior parameter can be, for example, an exclusion criterion for a user when selecting the vehicle.Alternatively or additionally, the image recording device can also determine a number of vehicle occupants, their position in the vehicle, an age of the vehicle occupants and / or a sex of the vehicle occupants. This information can be taken into account in addition to the ascertainment of the behavior parameter and thus of the vehicle situation.A further embodiment provides that a current video signal is also provided for the mobile terminal by the sensor device. This means that, for example, the vehicle situation can be transmitted to the mobile terminal as a video signal by means of the image recording device. The current video signal or image signal can be a video signal of the current situation from the vehicle in real time. This embodiment has the advantage that a user can make his own judgment on the vehicle situation in the vehicle when selecting the vehicle, thereby improving the selection.A further embodiment provides that an audio signal of the at least one vehicle occupant is recorded by the sensor device by means of an audio recording device, wherein the audio signal is analyzed with respect to a volume and / or a pitch and / or a speech level and the behavior parameter is determined on the basis of the analysis. In other words, an audio recording device may be provided, such as a microphone, which may record an audio signal from the vehicle interior.The audio signal can be analyzed, for example, as to whether it originates from a vehicle occupant and how high a volume of the audio signal is. A frequency and words or word sequences of the audio signal can also be analyzed in order to determine a voice position and / or a speech level of the vehicle occupant from the audio signal.The audio signal of the vehicle occupant may include, for example, music with which the vehicle occupant hears the vehicle interior. Emotions of the vehicle occupant can also be determined on the basis of the voice position or the volume, whereupon the behavior parameter can be deduced. The mood may signal, for example, a shaking, drowsy, fricative and excited mood state of the vehicle occupant. An analysis of the audio signal with respect to the speech level can comprise, for example, a recognition of words and a grammar that are used, from which, for example, an age or formation level of the vehicle occupant can be deduced.In this case, the behavior parameter can indicate, for example, a noise development of the vehicle occupant, categorized into a multistage scale or as a measured volume value in decibels.This embodiment has the advantage that more information can be provided for the selection of the vehicle, on the basis of which information the selection can take place. This can improve the selection of the vehicle.A further embodiment provides that a gas composition in the vehicle is analyzed by the sensor device by means of an odor sensor for the presence of at least one predefined gas concentration and the behavior parameter is determined on the basis of the analysis. In other words, an odour sensor may be provided which analyses the vehicle for the presence of a predetermined odour. For example, each seat of the vehicle may have an odor sensor that can detect odor development that can originate from a vehicle occupant who is located on the seat. The odor sensor can be, for example, a so-called electronic nose, which can detect a pattern of molecular frequency from gas atoms. That is, a gas concentration of the air in the vehicle interior may be determined, and predetermined patterns of the gas concentration may be detected. For example, an intensive use of a perfume or an eating of an odor-intensive meal can thus be determined as a behavior parameter when a gas concentration is exceeded or when the predefined pattern of the gas concentration is recognized. This embodiment has the advantage that odor information can also be provided to a user, whereby the selection of the vehicle can be improved.A further embodiment provides that a user preference for the vehicle situation is generated in the request in step a) and the selection of the vehicle is carried out automatically in step e) on the basis of the user preference. In other words, for example, a user can specify during the request for the journey with the ridesharing service which behavior parameters of other vehicle occupants are desired or undesirable. On the basis of this user preference, the vehicle can then be automatically selected, which for example has the most matches with the user preference. It is also possible that the user preference is generated on the basis of one or more previous selections of a vehicle as a function of the behavior parameter and is used as a preset during subsequent requests. This embodiment provides the advantage that a time for selecting a vehicle of the vehicle service can be reduced, since, for example, a plurality of vehicles do not have to be compared on the basis of the behavior parameter.A further embodiment provides that, on the basis of the behavior parameter of the at least one vehicle occupant determined by the sensor device, a behavior profile of the at least one vehicle occupant is generated and the behavior profile is used for determining the vehicle situation when the at least one vehicle occupant is detected in the at least one vehicle of the ride-sharing service. In other words, a detected behavior parameter of a vehicle occupant can be stored in a behavior profile of this vehicle occupant, wherein, when this vehicle occupant is traveling again, the vehicle situation can already be estimated in advance on the basis of its behavior profile. For example, a behavior profile of a vehicle occupant may include the vehicle occupant being a professional who uses the ridesharing service for his or her working paths and causes little noise. A user can view such a behavior profile as preferred and make his selection of the vehicle on the basis of this information. In another example, another vehicle occupant may also have a behavior profile that is undesirable for a user of the method, and the user may then change the selection of the vehicle to another vehicle of the ridesharing service in advance. This embodiment has an advantage that a behavior parameter can be estimated in advance, whereby the selection of the vehicle of the ridesharing service can be improved.A further specific embodiment provides that a vehicle state is also ascertained as a vehicle situation by the sensor device in step c). By vehicle state is meant a technical state of the vehicle. For example, the vehicle state may include sensor data of an engine, a tire pressure, data of a brake system and a steering system. The vehicle state can also comprise damage in the interior, for example to the seats, which can be provided for a judgment of the vehicle situation. This embodiment provides the advantage that a user is also provided with safety-relevant aspects of the vehicle for his selection, for example.A further aspect of the invention relates to a selection system for selecting a vehicle of a ridesharing service having a mobile terminal and at least one vehicle of the ridesharing service, wherein the mobile terminal is designed to request a journey of the ridesharing service and to determine the at least one vehicle of the ridesharing service which corresponds to the request, wherein the at least one vehicle of the ridesharing service has a sensor device which is designed to determine a vehicle situation of the vehicle and to provide the vehicle situation for the mobile terminal, wherein the vehicle situation comprises a behavior parameter of at least one vehicle occupant and wherein the mobile terminal is furthermore designed to select the vehicle on the basis of the vehicle situation. This results in the same advantages and possible variations as in the method.The invention also includes a control device for the selection system. The control device has a processor device which is configured to carry out an embodiment of the method according to the invention. For this purpose, the processor device can have at least one microprocessor and / or at least one microcontroller and / or at least one FPGA (field programmable gate array) and / or at least one DSP (digital signal processor). Furthermore, the processor device can have program code which is configured to carry out the embodiment of the method according to the invention when executed by the processor device. The program code can be stored in a data memory of the processor device.The invention also includes developments of the selection system according to the invention, which have features as have already been described in connection with the developments of the method according to the invention. For this reason, the corresponding developments of the selection system according to the invention are not described again here.The invention also includes the combinations of the features of the described embodiments.Exemplary embodiments of the invention are described below. The following shows: FIG. 1 shows a schematic selection system for selecting a vehicle of a ridesharing service according to an exemplary embodiment; FIG. 2 is a schematic process diagram according to an example embodiment.The exemplary embodiments explained below are preferred embodiments of the invention. In the exemplary embodiments, the described components of the embodiments each represent individual features of the invention that are to be considered independently of one another and that also develop the invention independently of one another. Therefore, the disclosure is intended to include combinations of the features of the embodiments other than those illustrated. Furthermore, the described embodiments can also be supplemented by further features of the invention that have already been described.In the figures, identical reference numerals designate functionally identical elements.FIG. 1 schematically illustrates a schematic selection system 10 for selecting a vehicle 12 of a ridesharing service. The vehicle 12 may be an automobile or a bus, in this embodiment a small bus 12.The exemplary embodiment shown here may be based on the following situation by way of example. A user wants to book a trip with a ridesharing service. The ride-sharing service may have multiple vehicles that can launch different destinations, where multiple persons may share the ride with the ride-sharing service. In order to book such a trip, the user can make a request with a mobile terminal 14, which is a smartphone, for a booking of the ride-sharing service. The booking can be carried out on the smartphone 14, for example, via a program, i.e., an app. Here, for example, a desired route and a start time for the travel can be specified.The request can be forwarded, for example, via a wireless data connection to a server device 15 which is operated by the ridesharing service and can determine, for example, vehicles which correspond to the request. For example, the vehicle 12 may perform the desired route at the selected start time.However, the user may not wish to be exposed to a vehicle situation which is undesirable for him during the trip. A vehicle situation which is undesirable for him could be, for example, a damaged vehicle or a behavior of persons who likewise use the ride-sharing service. In particular, the user could reject a behavior of vehicle occupants, for example if these eat in the vehicle and an unpleasant odour for the user thereby arises or if vehicle occupants are highly able to sustain a louder.In order to avoid such a situation in advance before selection of the vehicle 12, a sensor device 16 may be provided in the vehicle 12. The sensor device 16 can have, in particular, an image recording device 18, an audio recording device 20 and / or an odor sensor 22.By means of the image recording device 18, which can be a video camera, for example, it is possible to determine how many vehicle occupants are located in the vehicle 12 and at which positions in the vehicle 12 they are seated. In this embodiment, the vehicle occupants 24, 26, and 28 may be located in the vehicle 12. The image recording device 18 can be designed to record the vehicle occupants 24, 26, 28, in particular their faces, and to provide the recordings to an analysis device 30. For example, the analysis device 30 can be provided as a program on a server of the server device 15. Alternatively, however, the analysis device 30 can also be provided in the vehicle 12.The analysis device 30 can then analyze the recordings of the vehicle occupants 24, 26 and 28, for example with respect to a mimic and / or gesture, and thus determine a behavior parameter of the vehicle occupants 24, 26, 28. For example, the vehicle occupant 24 may sustain or stile with the vehicle occupant 26 in an excited manner. This can be detected from the video recordings of the image recording device 18 by the analysis device 30, for example by training a neural network of the analysis device 30 to detect a mimic and / or gesture. Consequently, an emotion value may be specified as high as a behavior parameter for one or both vehicle occupants or a parameter as running or shaking.Additionally or alternatively, the audio recording device 20 can record an audio signal from the interior of the vehicle 12, wherein in particular an audio signal of the vehicle occupants 24 and 26 can be recorded. The audio signal can then be analyzed, for example, by the analysis device 30 with respect to a volume and / or a pitch and / or a speech level. For example, a stile between the vehicle occupants 24 and 26 could have a high volume and a pitch could be aggressive. These may be, in particular, behavior parameters to which the user does not wish to be exposed during the journey with the follow-up service.These behavior parameters of the vehicle occupants 24 and 26 could then be provided to the mobile terminal 14, for example, as information such as an evaluation scale. Alternatively or additionally, the raw data of the image recording device 18 and / or of the audio recording device 20 can also be provided by the sensor device 16. That is, a user may have a current video signal provided on the mobile terminal 14 or an audio signal so that he may feel a self-impression of the vehicle situation.In another situation, an increased volume or a sceit during the ride with the ride-sharing service could not be crucial to the user, but the user could be very odour sensitive, for example. For this purpose, the odor sensor 22 can be provided, which can be, for example, a so-called electronic nose. The odor sensor 22 can be designed to analyze a gas composition in the vehicle for the presence of at least one predefined gas concentration. That is, gas molecules in the air can be analyzed, and in the presence of a predetermined gas concentration or presence of predetermined gas molecules, the odor sensor 22 can identify an odor. For example, the vehicle occupant 28 may take a meal while driving. The meal could comprise a strong odour which can be detected by means of the odour sensor 22. In this case, the behavior parameter of the vehicle occupant 28 can therefore be that the occupant takes an odor-intensive meal or odor development is severe.This vehicle situation could also be provided to the user before the start of travel or before the selection of the vehicle 12.Preferably, a user preference of the user can already be communicated to the server device 15 during the request for the ride with the ridesharing service, wherein vehicles can be automatically rejected or selected on the basis of the user preference. The user preference can comprise, for example, settings for the vehicle situation that the user desires or rejects.For example, sensor device 16 may also ascertain a vehicle state of vehicle 12, i.e., the damage to or in the vehicle may be recognized as a vehicle situation. For example, a warning of the engine of the vehicle 12 may also be sent to the mobile terminal 14, so that the user may decide whether to drive with a potentially damaged vehicle.Particularly preferably, if a start time for the trip has been specified, the vehicle situation can be supplemented with an anticipated vehicle situation information item which is expected at the start time of the trip. For example, irregularities may occur that can be provided to a user as vehicle situation information. In particular, at spring, noon, and evening times, food may be consumed in the vehicle 12 more frequently, or driving during schools may mean that frequently youths with loud music are seated in the vehicle 12.It is also possible to generate a behavior profile of vehicle occupants whose behavior parameters have already been established by the sensor device 16 during a previous use of the ride-sharing service. The behavior profile can be, for example, a preferred time during which a vehicle occupant covers a specific route, wherein an increased odor nuisance due to perfume is to be expected by this vehicle occupant during this route. Attention can also be drawn to this vehicle situation before the vehicle is selected.FIG. 2 shows a schematic flow diagram for a method for selecting a vehicle 12 of a sharing service. As step S 10, a journey of the sharing service can be requested by means of a mobile terminal 14. In a step S 12, at least one vehicle 12 of the ridesharing service is determined which corresponds to the request made by the mobile terminal 14.In a step S 14, a vehicle situation of the vehicle can be determined by means of a sensor device 16, wherein the vehicle situation comprises a behavior parameter of at least one vehicle occupant 24, 26, 28. This means that in particular a behavior of the passengers of the ride-sharing service is determined.In a step S 16, the ascertained vehicle situation, in particular the ascertained behavior parameter of the vehicle occupant, is provided for mobile terminal 14. The vehicle can then be selected depending on the vehicle situation. This may mean that the vehicle 12 is selected only if the vehicle situation corresponds to a particular user preference. If this is not the case, the vehicle can be automatically discarded from the selection for the trip.In another exemplary embodiment, one aspect is that a current vehicle situation in the vehicle (shared vehicle) is detected, especially with regard to the vehicle occupants and their interaction. This information is to be provided to the user via a smartphone 14 in order to influence the expectation accordingly or to include this information in a booking process. Furthermore, the current vehicle situation in the vehicle 12 can be matched to the desires of the user (user preference) in order, if appropriate, to propose another vehicle or to preconfigure a seat accordingly, for example isolation via sound zones.All common sensors (sensor device 16) can be installed in the vehicle in order to record the most varied aspects of the vehicle interior. For example, a camera 18 may detect the number of people, their approximate age and sex, and their current emotions. Further, the camera 18 may capture and evaluate the condition of the vehicle interior, e.g., regarding left behind items and debris. A microphone 20 can associate conversations with individual participants and capture the mood of these conversations, for example, to infer the relationship between occupants. An odour sensor 22 can detect whether there is an exceptional odour load in the vehicle and which category it is to be assigned, e.g. prepared food, perfume etc. In addition to the actual detection, the detection of the values, i.e. the vehicle situation, can also be enriched via third information, an anticipated vehicle situation information, and projected into the future, since many aspects are subject to a certain regularity.A user can use this anticipated vehicle situation information to select, for example, a period of time for the trip in which he is likely not exposed to any of these factors possibly repelling him. In particular shortly before the start of travel, the information can be extremely precise and could also be transmitted to the user's mobile telephone 14 as a live camera image, for example. The user can then, for example, see from the information of the vehicle situation whether some people are in feierlane, are going to eat, or whether all occupants in the vehicle 12 prefer to sleep or read. With this information, on the one hand, the inhibition threshold for the use of a service provider (follow-up service) is reduced. Further, the user can more specifically select a vehicle corresponding to his own plans, for example, a vehicle with concentrated mood on the way to the presentation conversation.In the vehicle 12, various sensors 18, 20, 22 may be connected to a controller (not shown) to continuously observe various aspects of the vehicle 12 and, more particularly, the vehicle interior.The control device could send the acquired information of the vehicle situation to a server (server device 15) via an online connection. A logic (analysis device 30) could be operated on the server, which accepts the information of the vehicle situation, enriches it with further anticipated vehicle situation information (e.g. habits or irregularities) and combines it and subsequently converts it into an abstract representation of the vehicle situation (e.g. vehicle no. 3 on the route from A to B at position P, with driver F and occupants I1 and I2, both students in the ferious time who eat a friendal relationship with one another and a meal).For example, an application on the user's mobile phone (mobile terminal 14) or a web page could request the described logic for a travel connection from A to B in which no students are to be found who eat. For example, an empty vehicle no. 4 could be proposed, which approaches the same stops 10 minutes later on vehicle no. 3 and is currently unoccupied.Furthermore, the abstract representation or even the raw data of the sensors of the vehicle, e.g. the camera image, could be requested by an application on the mobile telephone of the user, for example, in order to be able to see just before the start of travel how it looks like in the vehicle interior and which place the accounting system has reserved for one.If the user then decides for booking the vehicle, this information of the user preference can also be stored again in the central logic and taken into account in further queries, e.g., that the single passenger in vehicle no. 4 does not wish to occupants who presumably will eat a meal.Overall, the examples show how remote perception can be provided by the invention in the selection of a vehicle of a ridesharing service.

Claims

Method for selecting a vehicle (12) of a sharing service, having the steps: a) requesting (S10) a journey of the sharing service by means of a mobile terminal (14); b) determining (S12) the vehicle (12) of the sharing service which corresponds to the request; c) determining (S14) a vehicle situation of the vehicle (12) by means of a sensor device (16), wherein the vehicle situation comprises a behaviour parameter of at least one vehicle occupant (24, 26, 28); d) providing (S16) the vehicle situation to the mobile terminal (14); e) selecting (S18) the vehicle (12) as a function of the vehicle situation, characterized in that, in the case of the booking request in step a), a starting time for the journey of the sharing service is specified, wherein, in step d), the vehicle situation is supplemented with expected vehicle situation information which is expected at the starting time of the journey, wherein the expected vehicle situation information comprises irregularities which are provided as vehicle situation information.Method according to Claim 1, wherein the at least one vehicle occupant (24, 26, 28) is recorded by the sensor device (16) by means of an image recording device (18), wherein a mimic and / or gesture of the recorded vehicle occupant is analyzed and the behavior parameter is determined on the basis of the analysis.Method according to one of the preceding claims, wherein a current video signal is further provided to the mobile terminal (14) by the sensor device (16).Method according to one of the preceding claims, wherein an audio signal of the at least one vehicle occupant (24, 26, 28) is recorded by the sensor device (16) by means of an audio recording device (20), wherein the audio signal is analyzed with respect to a volume and / or a pitch and / or a speech level and the behavior parameter is determined on the basis of the analysis.Method according to one of the preceding claims, wherein a gas composition in the vehicle is analyzed by the sensor device (16) by means of an odour sensor (22) for the presence of at least one predefined gas concentration and the behaviour parameter is determined on the basis of the analysis.Method according to one of the preceding claims, wherein a user preference for the vehicle situation is generated in the request in step a) and the selection of the vehicle is carried out automatically in step e) on the basis of the user preference.Method according to one of the preceding claims, wherein a behavior profile of the at least one vehicle occupant (24, 26, 28) is generated on the basis of the behavior parameter of the at least one vehicle occupant (24, 26, 28) determined by the sensor device (16), and the behavior profile is used for determining the vehicle situation when the at least one vehicle occupant (24, 26, 28) is detected in the at least one vehicle of the ride-sharing service.Method according to one of the preceding claims, wherein the sensor device (16) also determines a vehicle state as a vehicle situation in step c).Selection system (10) for selecting a vehicle (12) of a sharing service, having a mobile terminal (14) and the vehicle (12) of the sharing service, wherein the mobile terminal (14) is designed to request a journey of the sharing service and to determine the vehicle (12) of the sharing service which corresponds to the request, wherein the vehicle (12) of the sharing service has a sensor device (16) which is designed to determine a vehicle situation of the vehicle and to provide the vehicle situation to the mobile terminal (14), wherein the vehicle situation comprises a behaviour parameter of at least one vehicle occupant (24, 26, 28) and wherein the mobile terminal (14) is furthermore designed to select the vehicle (12) on the basis of the vehicle situation, characterized in that the terminal (14) is designed to determine the status of the vehicle, in the booking request, a start time for the travel of the sharing service is to be specified, wherein the selection system (10) is configured to supplement the vehicle situation with an anticipated vehicle situation information item that is expected at the start time of the travel, and to provide it to the terminal device (14), wherein the anticipated vehicle situation information item comprises irregularities that are provided as vehicle situation information item.

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