Method and control device for providing vehicle functions and / or user services

Abstract

The disclosure relates to a method and a control device for providing vehicle functions and / or user services based on user and / or driving behavior. The method comprises several steps. In the first step, driving parameters corresponding to the user and / or driving behavior of a vehicle journey are recorded. In a further step, a user status input is recorded after the vehicle journey has been completed. Furthermore, driving values ​​are accumulated in an evaluation unit based on the recorded driving parameters if the status input meets a predefined driving standard. Finally, the vehicle functions and / or user services are provided if the accumulated driving values ​​exceed a predefined threshold.

Description

[0001] The present disclosure relates to a method and a control device for providing vehicle functions and / or user services based on user and / or driving behavior. The disclosure further relates to a vehicle and a computer program. Additionally, a computer-readable medium is provided which includes instructions that, when executed by a computer, cause it to execute at least part of the disclosed method.

[0002] In the automotive sector, awareness of environmental issues and the need to reduce the ecological footprint are growing. At the same time, users increasingly expect vehicles that are not only powerful and comfortable, but also contribute to sustainability. The automotive sector is therefore faced with the challenge of developing solutions that meet both the growing demands regarding environmental concerns and users' expectations for an improved driving experience.

[0003] Current solutions for promoting carpooling to protect the environment and conserve resources are often limited to simple mechanisms that facilitate ride-sharing or reduce vehicle costs based on the number of rides taken. However, such approaches are limited in their ability to influence user behavior in the long term or to actively motivate them to carpool more frequently. Furthermore, solutions that address the diverse needs of modern vehicle users are lacking, such as the integration of comfort features, efficient management of rides, or the provision of personalized services for all vehicle occupants.

[0004] At the same time, existing systems are often not integrated deeply enough into the vehicle technology to have a significant impact on vehicle usage and / or passenger satisfaction. This leads to many users, despite good intentions, struggling to fully exploit the benefits of carpooling, as the incentives are insufficient and / or not adequately tailored to the individual needs and / or habits of the users.

[0005] Furthermore, there is a discrepancy between available technologies and the actual needs of users, who increasingly expect connected, personalized, and environmentally friendly ride-sharing solutions. Therefore, there is a need for a comprehensive solution that analyzes ride-sharing, reacts in real time, and simultaneously offers a wide range of user-centric services.

[0006] Against the background of this prior art, the purpose of the present disclosure is to specify a control device and / or a method, each of which is suitable to enrich the prior art.

[0007] The problem is solved by the features of the independent claims. The dependent and subordinate claims each contain optional further developments of the disclosure.

[0008] The task is then solved by a procedure for providing vehicle functions and / or user services based on user and / or driving behavior. This procedure may involve several steps.

[0009] For the purposes of this disclosure, vehicle functions refer to a set of technical and / or comfort-oriented characteristics of a vehicle that can be controlled, enhanced, and / or adapted by means of processes to expand and / or optimize the driving experience, driving safety, energy efficiency, and / or user interaction. The vehicle functions can be controlled and / or enhanced based on driving data. This driving data can be recorded and analyzed in real time. Vehicle functions include, for example, adjusting engine power, optimizing recuperation, and controlling comfort features such as ambient lighting, seat heating, and / or air conditioning. These functions can be dynamically adapted to achieve greater efficiency and lower energy consumption based on the user's eco-driving behavior.Furthermore, vehicle functions also include safety-relevant features, such as the activation and adaptation of driver assistance systems, which contribute to increased driving safety. Vehicle functions also include the provision of advanced navigation services that integrate real-time traffic data, as well as the management of ride-sharing opportunities, where the vehicle serves as an interface for communication between driver and passenger. Additionally, automated detection of maintenance needs and the integration of smart home systems are possible to seamlessly connect the vehicle with the user's home environment.

[0010] For the purposes of this disclosure, a user service refers to a variety of personalized and / or interactive services made available to a vehicle user and / or a passenger via the vehicle and / or the vehicle manufacturer and / or third parties. These services may be provided based on real-time captured and analyzed driving data and / or driving parameters. They may enhance the driving experience, optimize vehicle use, promote sustainable driving behavior, and / or offer the user a service that simplifies and / or makes the use of the vehicle and / or the journey more relaxing.User services encompass functions that go beyond mere vehicle control and offer direct added value to the user and / or passengers before, during, or after the journey by intelligently connecting the vehicle with its environment, other users, other service providers, and / or digital systems. User services can include personalized services and driving suggestions that provide recommendations based on the driver's driving behavior and current traffic conditions for more efficient, safer, and / or more relaxed driving. These services not only offer practical benefits but also incentivize more sustainable driving by integrating exclusive benefits, discounts, and / or personalized offers from third-party providers.Furthermore, the user services also offer incentives to take along and / or transport other people, in order to reduce the ecological footprint for each individual when traveling by vehicle.

[0011] Furthermore, user behavior, as defined in this disclosure, encompasses all interactions and decisions a user makes regarding the use of ride-sharing services and sharing trips within a vehicle network. This includes actions such as booking a shared ride, accepting ride requests from other users, and riding with a stranger. These parameters are captured through various inputs, such as mobile applications or vehicle interfaces, and can be evaluated in real time to analyze the user's frequency of use, preferences, and engagement within a ride-sharing system. User behavior serves as the basis for providing personalized user services based on individual ride-sharing and driving habits.

[0012] Furthermore, driving behavior, as defined in this disclosure, refers to the manner in which a vehicle user conducts a journey, particularly with regard to carrying passengers and adhering to guidelines related to shared journeys. It encompasses aspects such as accepting ride requests, conducting the journey with one or more passengers, and behavior during the journey, including aspects related to safety and efficiency. Driving behavior is monitored through the continuous collection of driving data such as speed, route, and number of passengers and can be used to optimize vehicle functions and provide user-related services, such as discounts or enhanced comfort features. Driving behavior also includes the cooperation and participation of the passenger in the journey.

[0013] The first step involves recording driving parameters that correspond to the user and / or driving behavior of a vehicle trip. Driving parameters encompass all relevant data collected and analyzed in connection with a vehicle trip. They include both vehicle-related and user-related information, such as the route (e.g., distance from A to B), the time of the trip, and the current location of the vehicle and passengers. Driving parameters also include data on the number of passengers, the number of passengers picked up, the distance traveled, and the time spent on the trip. Personal user information, such as preferences regarding travel time or pick-up location, is also taken into account.These parameters are used to record and analyze ride-sharing behavior and to optimize journeys in order to provide user-specific services and / or vehicle functions based on passengers and / or the booking of shared rides. The driving parameters are essential for evaluating driving and user behavior in real time and deriving appropriate actions.

[0014] By capturing driving parameters that reflect user and driving behavior during a trip, a precise and comprehensive database can be created, enabling detailed analysis of driving and / or booking behavior. This real-time data allows for the recording of individual user behavior, preferences, and driving habits, thus enabling targeted adaptation of vehicle functions and / or service offerings. Furthermore, recording parameters such as the number of passengers, kilometers traveled, and trip duration allows for efficient optimization of resource consumption, particularly with regard to ride-sharing. This not only increases the vehicle's efficiency and sustainability but also enhances the personalized user experience by dynamically responding to current conditions.

[0015] In a further step, a user's status input is recorded after the vehicle has completed a trip. A status input refers to the confirmation or feedback a user provides after completing a trip to document its current status. It includes information such as confirmation that the trip was successfully completed, as well as an optional rating of the trip by the passenger or driver. This input is typically made via a mobile application or other user interface of the vehicle and serves to capture parameters relevant for the final trip evaluation, such as punctuality, driver / passenger behavior, and / or passenger satisfaction.The status input is relevant for the overall evaluation of driving behavior and can be used to update accumulated values ​​that later lead to the provision of vehicle functions and user services.

[0016] Capturing a user's (driver's, passenger's) status input after a completed trip provides precise feedback on the trip's success and quality, allowing for immediate and reliable validation of the trip data. This feedback ensures that the trip was completed fully and correctly, which can be crucial for the subsequent provision of vehicle functions or user services. Integrating status input improves data accuracy by capturing user information regarding satisfaction, punctuality, and / or adherence to driving parameters. Furthermore, status input provides a basis for optimizing future trips by documenting and analyzing any deviations or areas for improvement.Finally, the status input can enable a transparent and comprehensible evaluation, which creates incentives for users to adopt sustainable and efficient driving behavior.

[0017] In a further step, driving values ​​are accumulated in an evaluation unit based on the recorded driving parameters, if the status input corresponds to a predefined driving standard.

[0018] Predefined driving standards refer to a set of predefined criteria and / or parameters that determine the desired user and / or driving behavior and serve as a reference for evaluating actual user and / or driving behavior. These standards include specific limits and / or optimal behaviors aimed at maximizing driving safety, efficiency, and / or environmental friendliness. Predefined driving standards may include adherence to speed limits, smooth acceleration and braking, transport regulations, driving rules, and / or trip objectives (trip successful, successful ride, satisfaction). Furthermore, they may include evaluation criteria for the trip and / or ride. Comparing the recorded status input with predefined driving standards enables an objective evaluation of current driving behavior.This allows deviations from optimal driving parameters to be detected early and corresponding adjustments to be made in real time. This increases both the efficiency of vehicle operation and the safety of the users.

[0019] Through the integration of algorithms, the evaluation unit enables an objective assessment of driving parameters and status inputs in real time. The evaluation unit can be integrated as part of a control unit within the vehicle, which is already responsible for processing vehicle information. This implementation utilizes existing sensors, input devices, and / or control units, enabling direct and rapid evaluation of driving parameters and status inputs in real time. Alternatively, the evaluation unit can be implemented on a cloud-based platform that receives, processes, and analyzes the driving parameters and status inputs transmitted from the vehicle. This implementation enables powerful data processing and access to extensive computing resources.Furthermore, the evaluation unit can be implemented as an independent embedded system within the vehicle, specifically designed for analyzing driving parameters and status inputs and calculating driving values. This solution offers high flexibility and can operate independently of other vehicle control units.

[0020] Alternatively or additionally, a hybrid implementation can be used, in which the evaluation unit is partly located in the vehicle and partly in the cloud platform. For example, time-critical calculations could be performed in the vehicle, while more extensive analyses or data archiving take place in the cloud.

[0021] A process of continuous recording, calculation, and storage of driving parameters and / or status inputs takes place, representing the user and / or driving behavior of a vehicle over a specific period and / or a defined distance. These driving values ​​are generated by analyzing the corresponding data that is recorded and / or entered. Accumulating these values ​​allows for the quantification and evaluation of user and / or driving behavior by summing and aggregating the values ​​over time. Only positive driving values ​​are recorded and summed; negative events or user and / or driving behavior that deviates from predefined driving standards do not lead to a reduction or deduction of the already accumulated values.The system continuously adds up the driver's positive driving performance, while negative driving behavior does not reduce the already accumulated scores. Furthermore, positive contributions from passengers are taken into account. This can help maintain the driver's motivation, as progress is not hampered by occasional errors or deviations. It also encourages passengers to continue using the system.

[0022] Accumulating driving data based on recorded driving parameters in an evaluation unit enables continuous and precise recording of driving behavior linked to defined standards. This processing ensures that only high-quality and compliant journeys contribute to enriching the driving data, thereby maximizing system performance and accuracy. By accumulating driving parameters only when the status input meets a predefined driving standard, targeted selection and evaluation of driving behavior is enabled, which is essential for personalized and user-oriented services.

[0023] In a further step, vehicle functions and / or user services are made available when the accumulated driving data exceeds a predefined threshold. By providing vehicle functions and / or user services after exceeding a predefined threshold, an immediate incentive is created for both the user (driver) and the passenger to improve their driving and user behavior. This dynamic activation of functions promotes the sustainable and continuous improvement of driving behavior, as the user directly benefits from the rewards associated with achieving a specific driving data point. Furthermore, the passenger can be provided with services that positively influence their user behavior.Furthermore, this threshold mechanism enables targeted control of vehicle resources by activating additional functions only when specific parameters are reached, thus increasing the vehicle's efficiency and sustainability. User-specific services can be personalized, boosting customer loyalty and satisfaction while simultaneously ensuring the vehicle is optimally adapted to various requirements.

[0024] The threshold refers to a predefined, quantitative limit value set by the vehicle manufacturer using legal, system-related, and / or standardized parameters to evaluate the user and / or driving behavior of the user and / or passengers. The threshold is established by collecting and analyzing specific driving parameters, such as distance traveled, number of passengers, number of trips, times, and ratings, over a specific period or distance. The threshold can be either static, based on fixed parameters, or dynamic, adapting to current user and / or driving conditions. The threshold can be stored in the vehicle's internal memory or on a cloud-based platform connected to the vehicle via a mobile network.The data storage enables continuous monitoring and comparison of accumulated driving data with the threshold value. If the threshold is exceeded, it serves as a trigger to activate certain vehicle functions and / or to provide user services.

[0025] The method described above offers a number of advantages. Among other things, it promotes environmental protection through resource-efficient driving behavior and generates strong customer enthusiasm through personalized and user-centric services. The disclosed method provides innovative functions that both increase road safety and strengthen brand loyalty and desirability, particularly among non-brand customers. Furthermore, the method can act as an interface to user service providers by enabling collaborations with third-party providers that create additional incentives for environmentally conscious driving. Moreover, by influencing driving behavior through incentives, the frequency of service intervals and corresponding repairs can be affected. The number of service intervals can thus be reduced.Furthermore, the consumption of operating fluids during the journey can be reduced and the safety of users and other road users can be increased.

[0026] Possible further developments of the procedure described above are explained in detail below.

[0027] The process may include synchronizing driving parameters and / or data with a cloud-based platform for real-time monitoring and / or storage. Synchronizing driving parameters and / or data with a cloud-based platform enables continuous, location-independent, real-time monitoring as well as long-term data storage. A cloud-based platform can comprise a network of servers accessible via the internet, offering the advantage of flexible and scalable provision of computing power and storage capacity. This allows for complex data analyses that enable both real-time optimization of driving behavior and the provision of personalized services, which in turn can sustainably increase efficiency and user loyalty.Implementations could be carried out using well-known cloud services that offer a robust infrastructure for data synchronization and processing.

[0028] The cloud-based platform can be configured to collect and provide real-time driving feedback to the user, based on stored or current driving data. Collecting and providing real-time driving feedback via a cloud-based platform enables adjustments to user and / or driving behavior, potentially increasing driving efficiency, safety, and / or user-friendliness. This platform continuously analyzes stored and current driving data and provides the user (driver and / or passengers) with targeted feedback that can influence their driving behavior. This allows the user to immediately optimize their driving style. Furthermore, the real-time feedback promotes proactive driving, which supports environmental protection and can increase road safety.The cloud-based solution also ensures that data processing remains scalable and flexible, creating a future-proof system that can dynamically adapt to changing vehicles and / or vehicle functions and / or driving conditions.

[0029] The procedure may also include notifying the user via an output device when a new threshold is reached. This notification includes a list of newly enabled vehicle functions and / or user services. Notifying the user of a new threshold enables direct and user-friendly interaction between the driver and the vehicle. This notification, delivered via a discreet display or voice output, ensures that the user is immediately informed about the newly unlocked vehicle functions and user services. This helps keep the user motivated to further optimize their driving behavior, as they recognize the immediate benefits of their environmentally conscious driving.Furthermore, personalized and context-related information improves the user experience, which can increase user satisfaction and vehicle loyalty. This also enhances driving safety and comfort.

[0030] The procedure may also include notifying the user via a mobile application on their mobile device when a new threshold is reached. This notification includes a list of newly enabled vehicle functions and / or user services. Notifying the user of a new threshold via a mobile application enables flexible and location-independent communication between the vehicle and the user. A mobile application is a software application that can be installed and run on a mobile device (handheld). This integration allows the user to be informed about newly enabled vehicle functions and user services at any time, even when outside the vehicle.The mobile application offers an intuitive and user-friendly platform that simplifies interaction with the vehicle and optimizes the use of the provided functions.

[0031] The procedure may also include activating an output mode in the vehicle that provides the user with real-time information on the current ecological driving value and the associated available vehicle functions. By activating such an output mode, direct and transparent feedback on the results of driving behavior can be provided. This real-time visualization helps the user to further optimize their driving by recognizing how their driving style can affect the availability of specific vehicle functions. Furthermore, it strengthens the driver's awareness of environmentally friendly driving, leading to a sustainable reduction in energy consumption and an extension of the service life of vehicle components.The intuitive and readily available presentation of this information promotes user-friendliness and helps to keep the driver motivated to unlock additional benefits by continuously improving their driving behavior.

[0032] It can be implemented that the accumulation of driving parameters in the evaluation unit depends on the total distance traveled and / or the number of users, with longer distances and multiple users resulting in higher driving scores. Accumulating driving parameters based on the total distance traveled and the number of users enables a more accurate and comprehensive evaluation of driving behavior based on real-world usage scenarios. This allows longer journeys with multiple passengers to be weighted more heavily, thus promoting the efficiency and environmental friendliness of the vehicle system. Furthermore, this system incentivizes drivers to carpool more frequently and to travel longer distances together, leading to optimized resource utilization and a reduction in the ecological footprint.Furthermore, the provision of user services encourages people to use carpooling.

[0033] It may be possible to include driving parameters such as distance traveled, and in particular, any associated fuel or energy savings from carpooling. Recording driving parameters, including distance traveled and the associated fuel or energy savings from carpooling, can enable an accurate assessment of the vehicle's efficiency. This data can allow for the quantification of a trip's environmental footprint by documenting the savings achieved through carpooling. Specifically, recording the distance traveled in conjunction with the number of passengers can lead to drivers being rewarded for carpooling, thereby increasing the incentive for sustainable driving.Furthermore, fuel or energy savings can be calculated by comparing them to individual trips without passengers, creating a transparent overview of the benefits of carpooling. This can lead to more precise control and optimization of vehicle operation by activating more efficient driving modes or functions when significant savings are detected. Additionally, passengers can be compensated for using a ride instead of driving independently.

[0034] It may be possible to include a trip time specification in the driving parameters. Recording these parameters, including a trip time specification, can enable precise trip coordination and planning. The "specified time" can refer to a defined period within which the trip is either planned by the driver or requested by a passenger, leading to efficient vehicle utilization. This time specification allows for better coordination of trips and optimization of resources such as fuel or energy by avoiding unnecessary waiting times or idling. Furthermore, considering the specified time can improve the coordination of ride-sharing opportunities by precisely tailoring trips to the needs of passengers.This can increase the number of passengers per trip and thus achieve more sustainable vehicle use.

[0035] It can be implemented that the driving parameters include an indication of a trip's arrival time at a predetermined time. Collecting driving parameters that include an indication of a trip's arrival time at a predetermined time can enable precise planning and synchronization of ride-sharing opportunities. The predetermined time allows for better coordination of trips and more efficient organization of passenger availability. This time-based scheduling maximizes vehicle utilization by avoiding unnecessary delays and ensuring on-time arrival. Furthermore, considering the planned arrival time can help drivers adjust their route and driving style to achieve an optimal balance between driving speed and energy consumption. This data can also be used to optimize ride-sharing planning and for better integration with traffic management systems.

[0036] It may be possible to include information about a starting point and / or destination in the trip parameters. Collecting trip parameters that include the starting point and / or destination of a trip can significantly improve route planning and the use of ride-sharing services. The starting point and destination precisely define where the trip begins and ends, enabling efficient trip coordination and optimal integration of passengers along the route. This information allows for dynamic route adjustments, which improve vehicle utilization by integrating passengers with similar destinations. Furthermore, combining the starting point and destination can reduce travel costs and energy consumption by avoiding unnecessary detours.This precise location information can also be used to provide personalized services, such as selecting pick-up or drop-off points.

[0037] Driving parameters may include the number of rides, particularly within a specific timeframe. Recording the number of rides within a defined period allows for a precise picture of the frequency of use and the driver's engagement within the ride-sharing network. This data enables the analysis and evaluation of the ride-sharing system's efficiency and how frequently a driver is willing to form carpools. By tracking the number of rides over a period, patterns and trends can be identified, allowing conclusions to be drawn about vehicle utilization and user driving behavior. This can, in particular, lead to frequent users who regularly offer rides being granted access to preferred services or features, which in turn serves as an incentive for continued participation.

[0038] Regular use of the ride-sharing system can also contribute to better optimization of vehicle utilization and reduced emissions, as more trips are shared and fewer are individual journeys. Furthermore, this data can be analyzed in real time to identify both individual and system-wide efficiency gains based on a larger number of shared rides. The ride data can also be used to determine driver reliability by assessing whether a user consistently transports passengers and thus stabilizes the ride-sharing network. This type of analysis allows not only for personalized user profiles but also for targeted suggestions for improving the ride-sharing system and adapting the services offered. This encourages long-term participation in the system and creates a more sustainable use of vehicle resources.

[0039] The driving parameters may include information about the number of passengers during the trip. Recording the number of passengers can form the basis for a precise analysis of vehicle utilization and carpooling efficiency. This data allows for determining how many people participated in a shared trip and how effectively the vehicle was used. This can lead to route planning optimization by identifying whether potential rides along the route remain unused or whether the vehicle is utilizing its capacity to the fullest. A higher number of passengers can also serve as an indicator of increased environmental awareness on the part of the driver, which in turn can positively influence driving behavior and the associated rating.

[0040] Furthermore, collecting these parameters can be used to provide specific vehicle functions, such as activating comfort features when a certain number of passengers are present. The number of passengers can also be a key factor in calculating driving metrics used to award rewards or discounts. Accurate data collection also improves the transparency of the ride-sharing process, strengthening trust in the system and motivating more users to participate in carpools. Analyzing how frequently and to what extent a vehicle is used for ride-sharing can also increase the overall efficiency and sustainability of the entire system. In the long term, this can lead to more resource-efficient and optimized use of vehicle capacity.

[0041] Driving parameters can include information about the vehicle's dwell time at a pickup point to evaluate the efficiency of passenger pickups. Recording the vehicle's dwell time at a pickup point can provide a basis for optimizing passenger pickup efficiency. This dwell time allows you to determine how long the vehicle waits for the passenger at a designated point, which can help minimize delays and improve route planning. Shorter dwell times may indicate that the pickup was carried out efficiently, while longer waiting times may point to potential weaknesses in the process. This can lead to improved schedules, either by making earlier arrangements with passengers or by suggesting alternative pickup points that allow for faster processing.Furthermore, analyzing dwell time can be used to provide drivers with real-time feedback on how to optimize their trips, for example, by adjusting arrival time or pick-up location. This information can also be incorporated into the overall driving behavior assessment by calculating driving metrics relevant for providing rewards or features. An efficient ride-hailing process, optimized through dwell time monitoring, can not only lead to better vehicle resource utilization but also increase passenger satisfaction.

[0042] Driving standards may include a driving status. Incorporating a driving status as part of the driving standards can enable a more precise and comprehensive assessment of the trip. The driving status refers to the current state of the vehicle during the trip, such as whether it is in motion, whether it is a ride-sharing situation, whether it is a pickup, and / or whether a ride-sharing situation has been completed. By defining and recording this status, real-time data can be used to analyze the driver's driving behavior more accurately and ensure it complies with the established standards. This detailed recording can be particularly beneficial for carpooling or ride-sharing services, as the driving status clearly indicates the stage of the trip, thereby optimizing coordination and planning between the driver and passenger.Furthermore, the driving status can serve as the basis for activating certain vehicle functions that depend on the vehicle's current state, such as activating comfort features while a passenger is present or switching on safety functions while driving. Recording this status also allows for better segmentation of driving data and specific conclusions to be drawn about journey efficiency, contributing to the optimization of the entire driving process. In conjunction with other driving standards, the driving status can be used to send personalized recommendations and notifications to the driver, leading to improved driving style and the overall experience. This promotes not only efficiency but also the safety and satisfaction of all vehicle users.

[0043] Driving standards may include route adherence. Integrating route adherence into driving standards can significantly improve driving precision and efficiency. The route refers to a predefined or dynamically adjusted path that the driver is expected to follow. By monitoring route adherence, it can be ensured that the vehicle uses the most efficient and resource-saving route, optimizing both fuel consumption and travel time. This monitoring also allows for the identification of deviations that might indicate traffic conditions or erroneous inputs, enabling real-time route adjustments to reach the destination as efficiently as possible.Furthermore, adherence to the route provides a basis for evaluating driving behavior, as it ensures that the driver follows the optimal route for passengers or to conserve resources. This can be particularly important when organizing carpools, as passengers can be picked up and dropped off precisely and punctually at pre-arranged points. Moreover, consistent route adherence, in conjunction with other driving parameters, can serve as a criterion for unlocking vehicle functions or services, creating additional incentives for the driver to stick to the prescribed route.

[0044] Driving standards may include punctuality, particularly for the journey itself. Integrating punctuality into these standards allows for the precise recording and evaluation of adherence to schedules and pick-up times. Punctuality refers to the driver's ability to arrive at predetermined starting points, intermediate stops, and destinations at specified times. This improves the coordination and reliability of carpooling, as passengers and drivers can ensure that journeys are completed within a specific timeframe. Furthermore, monitoring punctuality can lead to better planning and optimization of carpools by identifying and minimizing delays.In conjunction with other driving parameters, adherence to punctuality offers a way to reward drivers for particularly reliable behavior, which can increase both passenger satisfaction and the efficiency of the entire driving system.

[0045] It is possible to incorporate user satisfaction into the ride standards. Integrating user satisfaction into the ride standards allows for direct evaluation and optimization of the ride experience. User satisfaction here refers to the subjective perception of the passenger or driver regarding the ride, including factors such as comfort, punctuality, efficiency, and / or sense of safety. This collected data can be used to continuously adapt the system to user needs, which can lead to greater loyalty and reuse of the ride-sharing system. Furthermore, continuous monitoring of user satisfaction enables the identification of potential improvements, such as changes to route planning or the provision of additional vehicle features.This also contributes to a more efficient and user-friendly driving system, which can increase the general acceptance and use of carpooling.

[0046] Driving standards may include ride comfort. Incorporating ride comfort into the driving standards allows for a targeted improvement in the well-being of vehicle occupants during the journey. Ride comfort refers to various factors such as vibration damping, climate control, interior acoustics, and smooth acceleration and deceleration of the vehicle. By monitoring and optimizing these parameters, drivers and passengers can experience a more pleasant and less tiring ride, which can be particularly relevant on longer journeys or when frequently riding as a passenger. Adjusting the driving standards to include ride comfort may also activate vehicle features such as adaptive suspension or improved noise insulation to further enhance the driving experience.This not only increases the satisfaction of the driver and / or passengers, but can also strengthen the perception of the vehicle as high-quality and comfortable, which in the long term promotes brand loyalty and frequency of use.

[0047] Driving standards may include a safety component. Integrating safety into these standards can help minimize the risk of accidents and dangerous situations while driving. These standards can monitor and optimize parameters such as adherence to speed limits, maintaining safe distances from other vehicles, and smooth steering and braking. This ensures that the vehicle is always operated safely, improving the safety of both passengers and other road users. Monitoring and compliance with these standards can also serve as the basis for activating driver assistance systems that support the driver during critical maneuvers, such as lane keeping assist or automatic emergency braking.Therefore, increasing driving safety can not only prevent accidents, but also strengthen users' trust in the vehicle system and improve the long-term acceptance of carpooling systems.

[0048] The system may include a user status entry that contains a rating and / or feedback on ride quality, particularly a rating or feedback from a passenger. Collecting status entries that include a rating or feedback on ride quality allows the system to respond more effectively to individual user needs and preferences. By analyzing feedback from passengers regarding ride quality, the system can identify potential weaknesses or areas for improvement in driving behavior and encourage the driver to adopt a safer, more efficient, or more comfortable driving style through appropriate feedback. This rating can also be used to influence a driver's overall rating within the ride-sharing network, which can positively impact future ride-sharing opportunities.Furthermore, the collection of such feedback in real time can lead to improvements in vehicle functions by enabling the system to selectively activate or adjust comfort or safety features during the journey.

[0049] It may be possible to use feedback from passengers to adjust the accumulated driving data in the evaluation unit. The ability to use passenger feedback to adjust accumulated driving data in the evaluation unit offers a more dynamic and precise assessment of driving behavior. This feedback allows subjective aspects such as comfort, safety, and punctuality to be directly incorporated into the calculation of driving data, which can lead to a fairer and more holistic assessment. This allows not only for real-time adjustments to the driver's behavior but also for corresponding adjustments to the activation of certain vehicle functions or the provision of user services.Integrating user feedback into the rating system can improve the overall quality of carpools by motivating drivers to consider not only objective driving standards but also subjective user preferences. This can lead to greater passenger satisfaction and, in the long term, improved acceptance and use of ride-sharing services.

[0050] It may be possible for the user's status input to also include confirmation of completed rides by the driver. This option can lead to increased reliability and accuracy in recording actual rides. This confirmation helps avoid misunderstandings or potential manipulation by providing both parties, the driver and the passenger, with verifiable documentation of the successful completion of the ride. Furthermore, this confirmation allows for more precise calculation of accumulated ride values ​​in the rating system, which can then be used to activate rewards or ride features, thus increasing the incentive for completing rides correctly.Furthermore, the feature can strengthen transparency and trust between drivers and passengers, as both sides actively participate in providing feedback on the journey. This feedback can contribute to improving the quality of rides and optimizing the user experience within the ride-sharing network.

[0051] It may be possible for the rating system to incorporate the frequency of ride-sharing platform use into the calculation of driving metrics. Including the frequency of use in the calculation of driving metrics can provide a meaningful basis for assessing a user's commitment and environmental responsibility. By positively incorporating regularly completed rides into the driving metrics, the system can reward particularly active users who frequently form carpools and thus contribute to reducing traffic and CO2 emissions. This motivates users to use the ride-sharing platform more often, thereby reducing their own costs and making a sustainable contribution to environmental protection.Furthermore, considering usage frequency can enable better differentiation of user profiles by qualifying frequent users for additional vehicle features or special services. In the long term, this integration can increase the attractiveness of the system by providing an incentive for the regular and sustainable use of carpooling.

[0052] It may be possible for the mobile application to capture the status input semi-automatically or automatically. The mobile application (app) can run on a mobile device, particularly a mobile user device. The status input can be captured as soon as the trip is completed. Semi-automatic or automatic status input capture by the mobile application can significantly increase the efficiency of user data collection. Automation minimizes the effort required from the user, as manual confirmation is no longer necessary, improving the application's usability and reducing potential errors. In particular, the app can run on a mobile device, enabling seamless integration into everyday user processes.Once the trip is complete, its end can be automatically recorded, and the status entry can be automatically generated and transmitted to the system, leading to faster processing and delivery of rewards or other driver-related services. This automation also supports the continuous and precise collection of trip data, ultimately resulting in greater accuracy in evaluating and analyzing driving behavior. Furthermore, the end of the trip can be confirmed by a user in the app (semi-automatic), at which point the status is set.

[0053] Vehicle functions may include the activation of enhanced ambient lighting. Activating enhanced ambient lighting as a vehicle function provides the user with customizable interior lighting that can increase driving comfort and well-being. By allowing the lighting to be adjusted to personal preferences or current mood, the driving experience is elevated to a new level, strengthening satisfaction and connection with the vehicle. Furthermore, optimized ambient lighting contributes to improved user attention and concentration by creating a pleasant and stress-free environment. The integration of this function thus increases not only comfort but also safety while driving.

[0054] Vehicle features may include the provision of premium navigation capabilities. Offering premium navigation as a standard vehicle feature enables more precise and comprehensive route planning based on real-time traffic data and individual user preferences. These enhanced navigation features provide users with optimized routes that avoid congestion and minimize fuel consumption and travel time, thereby increasing journey efficiency. The integration of additional features such as 3D map views, lane guidance, and points of interest along the route can further enhance the driving experience. Furthermore, premium navigation can dynamically adapt to changes in traffic conditions and suggest alternative routes, contributing to a safer and less stressful journey.

[0055] The vehicle's functions may include a temporary increase in performance, such as improved engine power or optimized recuperation in electric mode. This temporary increase in performance allows the user to utilize enhanced vehicle dynamics in certain situations. This feature enables the driver to access additional power in demanding driving situations, such as overtaking or steep inclines, thus increasing safety and driving pleasure. Simultaneously, optimized recuperation in electric mode can provide more efficient energy recovery, thereby extending the vehicle's range and reducing energy consumption.These performance-enhancing functions are time-limited and are only activated when needed, ensuring an optimal balance between efficiency and performance.

[0056] Vehicle functions may include predictive maintenance for reduced service intervals. Predictive maintenance enables optimized vehicle maintenance based on continuous monitoring and analysis of driving data. This function identifies potential maintenance needs early, before major failures occur, ensuring that service work is only performed when truly necessary. This avoids unnecessary maintenance and reduces operating costs while increasing vehicle reliability and lifespan. Predictive maintenance minimizes the risk of unplanned repairs and downtime, thus maximizing vehicle availability.Overall, this function contributes to a more efficient and cost-effective maintenance strategy, which preserves the value and performance of the vehicle in the long term.

[0057] User services may include the activation of a reward system that provides the user with vouchers, discounts, and / or offers from service providers based on accumulated driving data. Activating such a reward system offers direct motivation to improve driving behavior. By rewarding users for environmentally conscious and safe driving, this system not only increases satisfaction but also strengthens the user's connection to the vehicle and the brand. Furthermore, the integration of offers and discounts from external providers creates added value, making the vehicle a central part of the user's daily life.These reward mechanisms also encourage greater interaction with the services offered and contribute to long-term customer loyalty. Furthermore, the reward system motivates users to anticipate needs and drive the vehicle in a resource-efficient manner.

[0058] User services may include access to customer loyalty programs and / or extended service offerings, providing the user with free and / or discounted maintenance services, particularly service packages and / or extended warranties for the vehicle. Access to these programs offers added value and security. This service strengthens user loyalty to the brand by providing attractive benefits and financial incentives for regular vehicle maintenance and care. Access to exclusive service packages and extended warranties extends the vehicle's lifespan and increases operational reliability.Furthermore, the regular use of these services leads to better preservation of the vehicle's value, which can have a positive effect on the resale value.

[0059] The procedure may also include adjusting the vehicle's climate control or heating based on accumulated driving data, and / or this adjustment may take the form of increased efficiency or additional comfort options. Adjusting the vehicle's climate control or heating based on accumulated driving data enables optimized control of the climate systems, increasing both efficiency and comfort.

[0060] The process may also include optimizing vehicle energy consumption, particularly by adjusting power output and recuperation behavior in hybrid and electric vehicles based on accumulated driving data. Optimizing vehicle energy consumption by adjusting power output and recuperation behavior based on accumulated driving data enables significantly more efficient use of vehicle energy, especially in hybrid and electric vehicles. This function analyzes driving behavior and dynamically adjusts energy output to maximize efficiency, for example, by increasing recuperation during braking or downhill driving. This targeted adjustment not only increases the vehicle's range but also reduces wear on components such as brakes.Furthermore, efficient energy use contributes to extending the lifespan of the vehicle battery, which reduces operating costs in the long term.

[0061] It is possible for a rating system to also take participation in ride-sharing into account, accumulating additional driving points for sharing a ride with other users. Including ride-sharing participation in the rating system can more strongly incentivize ride sharing, thus promoting the use of carpooling while minimizing environmental impact by reducing the number of trips. The driving points accumulated for sharing a ride with other users make it possible to motivate drivers who regularly offer rides through additional rewards or enhanced vehicle features. This can also help increase the social acceptance of carpooling by allowing users to directly benefit from the advantages of sharing a vehicle.Furthermore, the system can determine in real time how many passengers are participating in a trip and use this data to improve the ecological footprint and conserve resources. In the long term, this leads to a sustainable optimization of traffic behavior and strengthens the use of mobility platforms to promote carpooling.

[0062] It can be anticipated that unlocking vehicle features will also include activating a passenger communication interface, allowing ride requests to be managed directly via the vehicle display or a mobile application. The ability to activate a passenger communication interface through vehicle feature unlocking can significantly increase the efficiency and user-friendliness of ride request management. This interface allows requests to be received and managed directly via the vehicle display or a mobile application, resulting in seamless integration into the driving experience. Drivers can thus respond to ride requests in real time without leaving the vehicle or using a separate platform, increasing both convenience and safety.Furthermore, activating this communication interface can increase user engagement in carpooling systems, as it offers a direct and straightforward way to organize rides. The easy management of ride requests via the vehicle display also makes carpooling more attractive, which can lead to a reduction in traffic congestion and energy consumption in the long term.

[0063] It can be implemented that participating in ride-sharing generates additional points or benefits in the rating system, contributing to faster unlocking of vehicle features. Integrating these additional points or benefits into the rating system can serve as an effective incentive to promote ride-sharing. Users who regularly offer or participate in ride-sharing can gain faster access to certain vehicle features, which in turn increases their willingness to participate. This leads to increased use of ride-sharing, which can result in an immediate reduction in individual fuel consumption and environmental impact. At the same time, this system contributes to optimizing resource use by rewarding drivers who actively contribute to reducing traffic congestion.Furthermore, the accelerated activation of functions can increase the benefits for drivers, making the system more attractive and efficient.

[0064] For use cases or application situations that may arise during the procedure and are not explicitly described here, it may be provided that, according to the procedure, an error message and / or a request for user feedback is issued and / or a default setting and / or a predetermined initial state is set.

[0065] The method can be a computer-implemented method, i.e., one, several or all steps of the method can be performed at least partially by a computer or a data processing device, optionally the control device.

[0066] The above can be summarized in other words and in a possible more concrete elaboration of the revelation as described below, whereby the following description is to be interpreted as not being restrictive for the revelation.

[0067] A Green Drive Reward System (GDRS) is integrated into the vehicle's electrical system and therefore possesses all information about the current location, destination, speed, fuel consumption, and vehicle occupant (the system synchronizes with the GDRS app on a smartphone or similar device via LTE / cloud). The GDRS knows the current speed limit and generates Green Drive Points for compliance. No Green Drive Points are generated if the current speed limit is exceeded, if the vehicle accelerates excessively, or if the speed limit exceeds 130 km / h (on highways without a speed limit). This motivates vehicle occupants to drive in an environmentally friendly manner and occasionally surprises them with a reward.

[0068] GDRS isn't just for existing customers; it's an open digital ecosystem, accessible to anyone looking for a ride. By submitting a request via the GDRS app, the person seeking a ride can have their location and destination displayed on the vehicle's system and / or be notified audibly. Vehicle users can then confirm the request and offer the ride. This environmentally friendly activity generates Green Points for both the vehicle user and the passenger.

[0069] Upon reaching a certain Green Drive Points score, the vehicle user is notified of a reward by the GDRS system. This may also trigger an after-sales / cross-selling opportunity.

[0070] A driver, along with their partner and child, travels 500 kilometers. During the journey, which has filled their Green Drive Point Scale due to eco-friendly driving, the driver is notified by the GDRS (Green Drive Point System) about a reward. In this example, the reward is a free coffee at rest stop X (a partner establishment). Upon confirmation, a QR code is generated for the driver in the GDRS app, which can be redeemed at the checkout. Ideally, the partner establishment now has three visitors who also purchase something to eat or drink. Another possibility in this example would be a discounted charging / refueling at a charging station / fuel pump during their stop at rest stop X.

[0071] Rewards associated with GDRS can arise from a variety of cooperation partners and marketing strategies, but also include internal company opportunities such as actively activating ambient lighting in the vehicle or a free month for various apps on the vehicle's network. The reward options within GDRS are extensive and offer significant opportunities for innovation.

[0072] Advantages arise for: - Environmental protection - Customer enthusiasm - Brand loyalty / brand desirability among non-brand customers - Business Partner Generator - Road safety - Brand Community - Resource-saving - Radical innovation driver - Benchmark / Unique selling point - Advantage through technology - Advantage through digitalization.

[0073] Vehicle users can always decide for themselves whether the function that makes their vehicle visible to the requesting passenger(s) in the open digital ecosystem's specific GDRS app is enabled. If enabled, the vehicle's current location is visible – without any specific vehicle or user data. The person seeking a ride enters their desired destination in the public, curated GDRS app and receives a notification when the request is confirmed. The vehicle user then picks them up at their location. This interaction actively promotes environmental protection and fosters real-life social media. By being given the opportunity to ride in a company car, the passenger can gain insights into and experience the vehicle, generating advertising at no cost. These benefits, in turn, generate Green Drive Reward Points – for both the vehicle user and the passenger.

[0074] If a passenger frequently gets a ride from GDRS vehicle users, Green Points are also accrued in their GDRS account. This, in turn, is rewarded upon reaching a certain Green Drive Reward Points score. Rewards are extensive, drive innovation, and offer the opportunity to engage people with company vehicles (product experience) who don't yet own one themselves.

[0075] Users of the Open World GDRS app receive a reward notification in their GDRS app account upon reaching a certain Green Drive Reward Score. This could include, among other things: - Factory tour - Discounts / Free shop products / Merchandise from the group -Free museum / cinema (e.g., Museum Mobile) admission - Cooperation partners - Discounts (e.g. free minutes for e-scooters / e-bikes)

[0076] The disclosure also includes the control device for the motor vehicle. The control device may comprise a data processing device or a processor circuit configured to perform an embodiment of the disclosed method. For this purpose, the processor circuit may comprise 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). In particular, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or an NPU (Neural Processing Unit) may be used as the microprocessor. Furthermore, the processor circuit may comprise program code configured to perform the embodiment of the disclosed method when executed by the processor circuit.The program code can be stored in a data memory of the processor device. The processor device can be based, for example, on at least one circuit board and / or on at least one SoC (System on Chip).

[0077] The control device also features suitable interfaces to provide a communication link between the sensor unit and / or the cloud-based platform. The control device for providing vehicle functions and / or user services is designed to: - To record driving parameters that correspond to the user and / or driving behavior of a vehicle journey; - to record a user's status entry after a completed journey of the vehicle; - To accumulate driving values ​​based on the recorded driving parameters in an evaluation unit (11) if the status input corresponds to a predefined driving standard; and - To provide vehicle functions and / or user services when the accumulated driving data exceeds a predetermined threshold.

[0078] The control device or control unit can be part of a driver assistance system or constitute the system itself. The control device can, for example, be an electronic control unit (ECU). The electronic control unit can be an intelligent, processor-controlled unit that can communicate with other modules via a central gateway (CGW) and may form the vehicle's electrical network via fieldbuses such as CAN bus, LIN bus, MOST bus, FlexRay, and / or Automotive Ethernet, for example, together with telematics control units and / or environmental sensors.

[0079] The control device includes a communication interface for communicating with a storage unit. The storage unit can be configured as an internal storage unit, thus forming an integral part of the control device. Alternatively, the storage unit can be configured as an external storage unit connected to the control device. Communication can take place via known communication protocols. The storage unit can include a hard disk drive, a flash drive, and / or a USB drive for storing and / or retrieving data. The storage unit is configured to store at least one database, which in turn is configured to store parameters relating to the control device, the vehicle, and / or parameters relevant to the operation of the vehicle. The database can contain systems known from the prior art.The control device has an interface for communication with the higher-level instance (cloud-based platform) and with other vehicle components.

[0080] The interface can be configured for mobile communication. The interface can be configured for data communication.

[0081] Furthermore, a vehicle equipped with the control unit or control device described above will be provided.

[0082] The vehicle in question can be a passenger car, in particular an automobile, or a commercial vehicle, such as a truck. The vehicle can be automated. The vehicle can be designed to take over longitudinal and / or lateral control, at least partially and / or temporarily, by means of the control device during automated driving. Automated driving can be implemented in such a way that the vehicle's movement is (largely) autonomous. Automated driving can be controlled, at least partially and / or temporarily, by the control device. It is conceivable that the vehicle actively intervenes in the vehicle's lateral control through a driver assistance system, e.g., by adjusting the current steering wheel position, and optionally passively, e.g., by displaying a turn instruction.

[0083] The vehicle can be a Level 0 autonomous vehicle, meaning the driver remains fully responsible for driving, even if support systems (e.g., ABS or ESP) are present. The vehicle can be a Level 1 autonomous vehicle, meaning it has certain driver assistance systems that support the driver in operating the vehicle, such as adaptive cruise control (ACC). The vehicle can be a Level 2 autonomous vehicle, meaning it is partially automated to the extent that functions such as automatic parking, lane keeping / lateral control, general longitudinal control, acceleration, and / or braking are handled by driver assistance systems. The vehicle can be a Level 3 autonomous vehicle, meaning it is conditionally automated to the extent that the driver does not need to continuously monitor the vehicle system. The vehicle independently performs functions such as activating the turn signals, changing lanes, and / or maintaining lane position.The driver can engage in other activities but will be prompted by the system to take over driving within a specified warning period if necessary. The vehicle can be a Level 4 autonomous vehicle, meaning it is so highly automated that the vehicle's system permanently takes over driving. If the system can no longer handle the driving tasks, the driver may be prompted to take over. The vehicle can be a Level 5 autonomous vehicle, meaning it is so fully automated that the driver is not required to perform the driving task. No human intervention is required except for setting the destination and starting the system. The vehicle can operate without a steering wheel and pedals.

[0084] The above description with reference to the control device also applies analogously to the motor vehicle and vice versa.

[0085] The disclosure also includes further developments of the control device that exhibit features already described in connection with the further developments of the disclosed method and motor vehicle. For this reason, the corresponding further developments of the disclosed control device are not described again here.

[0086] Furthermore, a computer program is provided, comprising instructions that, when executed by a computer, cause it to at least partially execute the above-described procedure. The program code of the computer program can be in any form, in particular code suitable for motor vehicle control systems. The above descriptions relating to the control device, the motor vehicle, and the procedure apply analogously to the computer program and vice versa.

[0087] Furthermore, a computer-readable medium, in particular a computer-readable storage medium, is provided. The computer-readable medium comprises instructions which, when executed by a computer, cause it to at least partially execute the procedures described above. That is, a computer-readable medium can be provided that contains a computer program as defined above. The computer-readable medium can be any digital data storage device, such as a USB flash drive, a hard drive, a CD-ROM, an SD card, or an SSD card (or SSD drive / SSD hard drive).

[0088] The computer program does not necessarily have to be stored on such a computer-readable storage medium to be made available to the motor vehicle; it can also be obtained via the internet or other external sources. The above descriptions regarding the procedure, the control device, the computer program, and the motor vehicle also apply analogously to the computer-readable medium and vice versa.

[0089] The disclosure also includes combinations of features of the described embodiments. The disclosure therefore also includes realizations that each exhibit a combination of features from several of the described embodiments, provided that the embodiments have not been described as mutually exclusive.

[0090] The following are exemplary embodiments of the invention described. This is illustrated by: Fig. 1 schematically a vehicle 1 with the control device 10 as disclosed for providing vehicle functions and / or user services based on the driving behavior of a vehicle 1; and Fig. 2 schematically a flowchart of an embodiment of the disclosed method 100 for providing vehicle functions and / or user services based on the driving behavior of a vehicle 1.

[0091] The exemplary embodiments described below are preferred embodiments of the invention. In these exemplary embodiments, the described components each represent individual features of the invention, which can be considered independently of one another and each further develops the invention independently. Therefore, the disclosure is intended to include combinations of features of the embodiments other than those shown. Furthermore, the described embodiments can also be supplemented by further features of the invention already described.

[0092] In the figures, identical reference symbols denote functionally equivalent elements.

[0093] The in Fig. 1. Vehicle 1, shown only schematically, includes a control device 10 as disclosed. The control device 10 may include a storage unit (not shown). Alternatively, the storage unit may be located in a cloud and communicate with the control device 10.

[0094] The vehicle 1 can be configured as a motor vehicle. The vehicle 1 can have at least one sensor unit 2. In particular, the vehicle can have a plurality of sensor units 2 and / or comprise a combination of different sensor units 2. The sensor units 2 can be configured redundantly. The sensor unit 2 can be configured as radar, GPS, camera, infrared, or ultrasonic sensor units. Various driving data, in particular the situation-dependent driving behavior and / or operating parameters and / or vehicle data of the vehicle 1, can be acquired via the at least one sensor unit 2. The sensor unit 2 can be configured to acquire data / information from the vehicle 1, from the user, from the interior and / or the environment of the vehicle 1 and to make it available for further processing and / or use.

[0095] Vehicle 1 has at least one interface 13 for a mobile communication connection to provide driving data to a higher-level instance, e.g., a cloud-based platform 20. Data / information can be exchanged between vehicle 1 and the higher-level instance via the mobile communication connection. The higher-level instance can be configured as a service center, database, and / or server system. An agent can be provided in the service center to deliver services. Furthermore, a mobile communication connection to the mobile device 30 can be established via interface 13. The mobile device 30 can also communicate with the cloud-based platform 20 via a mobile communication connection.

[0096] The collected driving data is used to provide vehicle functions and / or user services when a predefined threshold is exceeded. The recorded driving data and / or driving values ​​are synchronized with a cloud-based platform 20 to enable real-time monitoring and / or storage. This platform 20 is capable of determining and providing real-time driving feedback to the user, based on the stored or current driving data. Synchronization of the driving data with the cloud-based platform 20 also includes adjusting the user's threshold for the provision of vehicle functions via a mobile application on a mobile device 30.

[0097] Driving standards and / or thresholds can be dynamically selected and adjusted based on external factors. These factors include traffic conditions, weather conditions, and / or personal user profiles provided by the cloud-based platform 20.

[0098] Additionally, the user can be notified when a new threshold is reached, either via an output unit 12 in the vehicle 1 or via the mobile application on the mobile device 30. The vehicle functions and / or user services can be made available via the output unit 12 and / or the mobile device 30. The user can select which of the vehicle functions and / or user services should be activated or used. The output unit 12 can be configured as a touchscreen or a display with controls. The mobile device 30 can be configured as a handheld device, including a smartphone, telephone, PDA, or tablet.

[0099] The notification can include a list of newly available vehicle functions and / or user services. An output mode can be activated in vehicle 1, which displays the current ecological driving value and the corresponding available vehicle functions to the user in real time.

[0100] In the Fig. 1. The procedure 100 will be carried out according to the Fig. 2. The process 100 is executed by the control unit 10 to provide vehicle functions and / or user services based on user and / or driving behavior. Alternatively, the execution of the process 100 can be split between the control unit 10 and the cloud-based platform 20. Furthermore, the process 100 can be performed on the cloud-based platform 20, and the control unit 10 provides corresponding data to the sensor unit 2. The control unit 10 also provides the cloud-based platform 20 with the corresponding driving parameters and / or status information it has recorded. A sensor unit 2 records driving data that corresponds to the driving behavior at a specific point in time during the journey of the vehicle 1.

[0101] The control device 10 is designed to perform the following, also with reference to the Fig. 2. To perform, as described in detail, the provision of vehicle functions and / or user services based on the driving behavior of a vehicle 1. Fig. Figure 2 shows the method 100 for providing vehicle functions and / or user services, which comprises several steps and is based on the driving behavior of the user and / or the vehicle 1. The method begins with the acquisition of driving parameters 110, which represent the user and / or driving behavior during a journey of the vehicle 1. These driving parameters include various details such as the distance traveled, the number of passengers, the starting and ending points, the journey time, and the efficiency of passenger pickup. These driving parameters may also include information on fuel or energy savings from a ride, the punctuality of the journey, and driving behavior with regard to driver assistance systems.

[0102] After the driving parameters are recorded, they are compared with predefined driving standards. These driving standards can include, among other things, adherence to the route, punctuality, driving comfort, driving safety, and user satisfaction. The procedure may allow for dynamic adjustments of the driving standards, for example, based on current traffic conditions, user profiles, or weather conditions, provided via a cloud-based platform.

[0103] Subsequently, the driving data is accumulated in an evaluation unit 11 130 if the driving parameters meet the predefined standards. It can be provided that the accumulation of driving data depends on the total distance of the trip and the number of passengers, with longer distances and a higher number of passengers resulting in higher driving data. Furthermore, it can be provided that passenger feedback on the trip quality is incorporated into the evaluation to increase the accuracy of the accumulated driving data. This feedback can be collected semi-automatically or automatically via a mobile application 30, with the status input being recorded after the trip is completed.

[0104] Once the accumulated driving data exceeds a predefined threshold, vehicle functions and / or user services are provided. These vehicle functions may include, for example, the activation of enhanced ambient lighting, the provision of premium navigation functions, a temporary increase in engine power, or optimized recuperation in electric mode. Furthermore, the system may provide user services such as unlocking a reward system or access to customer loyalty programs that include discounted maintenance services or extended warranties. The user is notified of reaching a new threshold via an output unit in the vehicle or via the mobile application, and this notification includes a list of the newly provided functions and / or services.

[0105] One possible implementation of the procedure involves synchronizing driving parameters and / or driving data with a cloud-based platform to enable real-time monitoring and storage. The cloud-based platform can be used to provide real-time feedback to the user based on current or stored driving data. This real-time feedback can help the user adjust their driving behavior, for example, to optimize fuel efficiency or to unlock additional vehicle functions more quickly.

[0106] Furthermore, the mobile application can automatically record driving parameters and status inputs. The app allows users to provide feedback on the ride quality immediately after the trip. Another implementation includes a passenger communication interface that enables ride requests to be managed directly via the vehicle display or the mobile application. This facilitates communication between drivers and passengers and ensures seamless coordination of rides.

[0107] Furthermore, the rating system can generate additional points or benefits if the user regularly participates in ride-sharing. These additional driving points can contribute to the faster unlocking of vehicle functions and thus create incentives to share the vehicle more frequently with other users, leading to reduced emissions and greater energy efficiency.

[0108] Additionally, the system can be used to optimize energy consumption and vehicle climate control based on accumulated driving data. This includes, for example, adjusting the air conditioning or heating to increase efficiency, as well as predictive maintenance that reduces service intervals.

[0109] Overall, the examples show how a Green Drive Reward System can be implemented.

Claims

[1] Method (100) for providing vehicle functions and / or user services based on user and / or driving behavior, comprising the steps: - Recording (110) driving parameters corresponding to the user and / or driving behavior of a journey of a vehicle (1); - Recording (120) a status input from a user after a completed journey of the vehicle (1), - Accumulating (130) driving values ​​based on the recorded driving parameters in an evaluation unit (11) when the status input corresponds to a predefined driving standard; - Provide (140) vehicle functions and / or user services when the accumulated driving values ​​exceed a specified threshold. [2] Method (100) according to the immediately preceding claim, wherein the method (100) further comprises: - Synchronizing driving parameters and / or driving values ​​with a cloud-based platform (20) for real-time monitoring and / or storage. [3] Method according to the immediately preceding claim, wherein the cloud-based platform (20) is designed to determine and provide real-time driving feedback to the user, based on the stored or current driving data. [4] Method (100) according to any one of the preceding claims, wherein the method (100) further comprises: - Notification of the user of reaching a new threshold via an output unit (12) of the vehicle (1) and / or via a mobile application on the mobile device (30), wherein the notification includes a list of the newly provided vehicle functions and / or user services. [5] Method (100) according to any one of the preceding claims, wherein the method (100) further comprises: - Activating an output mode in the vehicle (1) that provides the user with a current ecological driving value in real time and thus with available vehicle functions. [6] Method according to one of the preceding claims, wherein the accumulation of the driving parameters in the evaluation unit (11) is carried out depending on a total distance of the journey and a number of users, wherein longer distances and multiple users lead to higher driving values. [7] Method (100) according to any one of the preceding claims, wherein the driving parameters are selected from a group comprising at least: - information about a distance travelled, in particular regarding the distance travelled and any associated fuel or energy savings achieved through a ride-sharing arrangement; - information about a journey at a given time; - information about the arrival of a journey at a specified time; - information about a starting point and / or destination point; - a number of rides; - information about the number of passengers during the journey; and / or - information about the duration of the vehicle's stay (1) at a pick-up point in order to assess the efficiency of the passenger pick-up. [8] Method (100) according to any one of the preceding claims, wherein the driving standards are selected from a group comprising at least: - Trip status; - Adherence to the route; - Punctuality; - User satisfaction; - Driving comfort; and / or - Driving safety. [9] Method (100) according to any of the preceding claims, wherein the acquisition of the status input is semi-automatic or automatic by the mobile application, wherein the user's status input includes an assessment and / or feedback on the ride quality, in particular an assessment or feedback from a passenger on the ride quality, and wherein the feedback from the passenger can be used to adjust the accumulated ride values ​​in the assessment unit (11), and wherein The user's status input also includes confirmation of completed rides by the driving user. [10] Method (100) according to any one of the preceding claims, wherein the vehicle functions are selected from a group comprising at least: - Activation of enhanced ambient lighting; - Provision of premium navigation features; - Activation of a special driving mode; - a temporary increase in the vehicle's performance, including improved engine power or optimized recuperation in electric mode, and / or - Reduction of service intervals through predictive maintenance. [11] Method (100) according to any one of the preceding claims, wherein the user services are selected from a group comprising at least: - the activation of a reward system that provides the user with vouchers, discounts and / or offers from user service providers based on accumulated driving data, and / or - an access activation to customer loyalty programs and / or extended service offerings that provide the user with free and / or discounted maintenance services, in particular service offers and / or extended warranties for the vehicle (1). [12] Method (100) according to any one of the preceding claims, wherein the method (100) further comprises: - Adjustment of the vehicle's air conditioning or heating based on accumulated driving data, and / or where the adjustment takes the form of increased efficiency or additional comfort options. - Optimization of energy consumption in the vehicle (1), in particular by adjusting the power output and recuperation behavior in hybrid and electric vehicles based on the accumulated driving data. [13] Control device (10) for providing vehicle functions and / or user services based on user and / or driving behavior, wherein the control device (10) is designed to: - To record driving parameters that correspond to the user and / or driving behavior of a journey of a vehicle (1); - to record a status entry from a user after a completed journey of the vehicle (1); - To accumulate driving values ​​based on the recorded driving parameters in an evaluation unit (11) if the status input corresponds to a predefined driving standard; and - To provide vehicle functions and / or user services when the accumulated driving data exceeds a predetermined threshold. [14] Vehicle (1), wherein the vehicle (1) comprises the control device (10) according to the immediately preceding claim. [15] Computer program, wherein the computer program comprises instructions which, when the program is executed by a computer, cause it to execute the method according to any of the preceding method claims.

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