Automobile travel route generation system and method

Abstract

The invention discloses a generation system of an automobile travel route. The generation system comprises a data acquisition module, a data processing module, a route generation module, a user preference module, a safety early warning module, an output display module, a user interaction module, a payment module, a social sharing module, a vehicle health inspection module and an environment monitoring module. The invention further discloses a method for generating the automobile travel route. The method comprises the following steps: S1, data acquisition; s2, data processing; s3, generating a route; s4, user preference setting; s5, performing safety early warning; and S6, outputting and displaying. S7, performing user interaction; according to the system, seven modules of data acquisition, processing, route generation, user preference management, safety early warning, output display and user interaction are integrated, various factors can be comprehensively considered, an optimal travel route is provided for a user, the travel efficiency can be improved, delay caused by congestion is reduced, and the user experience is improved. And the personalized route can be recommended according to the preference of the user, and the driving safety is enhanced at the same time.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent transportation technology, and in particular relates to a system and method for generating a car travel route. Background Art

[0002] At present, people's pace of life is getting faster and faster, and people pay attention to high-quality life. However, with the improvement of people's quality of life, the use of cars is becoming more and more widespread. When traveling by car, people usually use the navigation software on the navigation device to navigate, so as to improve the travel efficiency. However, as more and more people choose to travel by car, even with navigation, the road traffic conditions will still deteriorate.

[0003] There are still some problems with the existing systems and methods for generating automobile travel routes: traditional navigation systems can only provide a single shortest path or fastest path option, but cannot fully consider factors such as changes in road conditions and user preferences, resulting in a poor travel experience, reduced travel efficiency, and increased delays caused by congestion. At the same time, personalized routes cannot be recommended based on user preferences, which reduces driving safety. In addition, it is inconvenient to share travel information with friends and check the health of the vehicle. For this reason, we propose a system and method for generating automobile travel routes. Summary of the invention

[0004] The purpose of the present invention is to provide a system and method for generating a car travel route to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: a system for generating a car travel route, comprising a data acquisition module, a data processing module, a route generation module, a user preference module, a safety warning module, an output display module, a user interaction module, a payment module, a social sharing module, a vehicle health check module and an environmental monitoring module;

[0006] The data acquisition module is used to collect real-time traffic information, weather forecast information, and user preference information;

[0007] The data processing module is used to analyze and process the collected data;

[0008] The route generation module is used to generate an optimal travel route based on the processed data;

[0009] The user preference module is used to store and manage the user's personalized settings and preferences;

[0010] The security warning module is used to monitor potential security risks and issue warnings;

[0011] The output display module is used to display the generated route to the user in a graphical manner;

[0012] The user interaction module is used to receive user input and provide feedback;

[0013] The payment module is used to pay tolls and parking fees online, integrates with multiple payment platforms, provides multiple payment methods, automatically identifies tolls, and initiates payment requests;

[0014] The social sharing module is used for users to share travel information through social media, synchronize the travel to social applications, provide help for meeting up with friends, and provide group travel functions for communication and coordination among team members;

[0015] The vehicle health check module is used to monitor various performance indicators of the vehicle, such as engine status and brake system, and provide regular maintenance reminders, warn of potential failures, and recommend maintenance plans.

[0016] The environmental monitoring module is used to monitor air quality and noise levels, optimize routes based on environmental data, provide green travel suggestions, and reduce pollution emissions.

[0017] Preferably, the data acquisition module includes a GPS positioning unit, a sensor unit, a network interface unit and a social media unit;

[0018] The GPS positioning unit is used to obtain the location information of the vehicle;

[0019] The sensor unit is used to obtain speed information of the vehicle;

[0020] The network interface unit is used to obtain real-time traffic information, weather forecast data, etc.

[0021] The social media unit is used to collect emergency information.

[0022] Preferably, the data processing module includes a data cleaning submodule, a data integration submodule, a big data analysis submodule and a machine learning submodule:

[0023] The data cleaning submodule is used to clean the collected data and remove invalid data;

[0024] The data integration submodule is used to integrate data from multiple sources to form a unified data format;

[0025] The big data analysis submodule is used to analyze real-time traffic data using big data processing technology, combine weather forecast information, evaluate the weather impact that different routes may encounter, and predict traffic conditions in the future;

[0026] The machine learning submodule is used to analyze user preferences, determine user travel needs, and optimize data processing models.

[0027] Preferably, the route generation module includes a path planning submodule, a dynamic adjustment submodule and a multi-objective optimization submodule;

[0028] The path planning submodule is used to calculate the optimal path based on the processed data using a path planning algorithm, comprehensively considering multiple indicators such as time, distance, and cost, and provide the user with the optimal solution;

[0029] The dynamic adjustment submodule is used to adjust the route according to real-time traffic changes;

[0030] The multi-objective optimization submodule is used for the user to switch between different priorities.

[0031] Preferably, the safety warning module includes a safety monitoring submodule, an immediate alarm submodule and a rescue guidance submodule;

[0032] The safety monitoring submodule is used to monitor potential safety risks, such as bad weather, accidents, road obstacles, etc.;

[0033] The instant alarm submodule is used to be integrated with the vehicle-mounted system to provide an instant safety alarm.

[0034] The rescue guidance submodule is used to cooperate with the emergency service department to provide rescue guidance.

[0035] Preferably, the output display module includes a graphical display submodule, a voice navigation submodule and a display mode adjustment submodule;

[0036] The graphical display submodule is used to display the route to the user in a graphical manner, including route instructions on the map, text prompts, etc.;

[0037] The voice navigation submodule is used to provide a voice navigation function;

[0038] The display mode adjustment submodule is used to adapt to different ambient light conditions.

[0039] Preferably, the user interaction module includes a touch screen submodule, a voice control submodule, a gesture recognition submodule and a cloud service submodule;

[0040] The touch screen submodule is used to provide a touch screen input mode;

[0041] The voice control submodule is used to provide a voice control method;

[0042] The gesture recognition submodule is used to provide gesture recognition, allowing the driver to operate during driving;

[0043] The cloud service submodule is used to achieve cross-device synchronization through cloud services, ensure a consistent user experience on different devices, and share on social media, so that users can recommend routes to friends.

[0044] A method for generating a car travel route comprises the following steps:

[0045] S1. Data collection, collecting real-time traffic information, weather forecast information, user preference information, etc.;

[0046] S2. Data processing, analyzing and processing the collected data;

[0047] S3. Route generation, generating the optimal travel route based on the processed data;

[0048] S4. User preferences, store and manage user's personalized settings and preferences;

[0049] S5. Security warning, monitoring potential security risks and issuing warnings;

[0050] S6. output display, displaying the generated route to the user in a graphical manner;

[0051] S7. User interaction, receiving user input and providing feedback.

[0052] Preferably, the step S2 further comprises:

[0053] S21: Data cleaning: cleaning the collected data and removing invalid data;

[0054] S22: Data integration, integrating data from multiple sources into a unified data format;

[0055] S23: Data analysis, using big data processing technology to analyze real-time traffic data, combined with weather forecast information, to assess the weather impact that different routes may encounter, and predict traffic conditions in the future;

[0056] S24: Machine learning, analyzing user preferences, determining user travel needs, and optimizing data processing models.

[0057] Preferably, the step S3 further comprises:

[0058] S31: Path planning, based on the processed data, using the path planning algorithm to calculate the optimal path;

[0059] S32: Route selection, which takes into account multiple indicators such as time, distance, and cost to provide users with the best solution;

[0060] S32: Dynamic adjustment, adjusting the route according to real-time traffic changes;

[0061] S33: Multi-objective optimization, allowing users to switch between different priorities.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] (1) The present invention integrates seven modules, namely data collection, processing, route generation, user preference management, safety warning, output display and user interaction, and can comprehensively consider multiple factors to provide users with the best travel route. The system can improve travel efficiency, reduce delays caused by congestion, and recommend personalized routes based on user preferences, while enhancing driving safety.

[0064] (2) The present invention integrates payment, social sharing, vehicle health check and environmental monitoring modules, so that the system supports online payment of tolls, parking fees and other functions, facilitates users to share travel information with friends, monitor vehicle health status, and provide timely maintenance reminders. It also reduces carbon emissions and increases environmental protection through environmental monitoring and route optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a structural block diagram of the present invention;

[0066] Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0067] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0068] See also Figure 1-Figure 2 ,The present invention provides a technical solution: a system for generating a car travel route, comprising a data acquisition module, a data processing module, a route generation module, a user preference module, a safety warning module, an output display module, a user interaction module, a payment module, a social sharing module, a vehicle health check module and an environmental monitoring module;

[0069] The data acquisition module is used to collect real-time traffic information, weather forecast information, and user preference information;

[0070] The data processing module is used to analyze and process the collected data;

[0071] The route generation module is used to generate an optimal travel route based on the processed data;

[0072] The user preference module is used to store and manage the user's personalized settings and preferences;

[0073] The security warning module is used to monitor potential security risks and issue warnings;

[0074] The output display module is used to display the generated route to the user in a graphical manner;

[0075] The user interaction module is used to receive user input and provide feedback;

[0076] The payment module is used to pay tolls and parking fees online, integrates with multiple payment platforms, provides multiple payment methods, automatically identifies tolls, and initiates payment requests;

[0077] The social sharing module is used for users to share travel information through social media, synchronize the travel to social applications, provide help for meeting up with friends, and provide group travel functions for communication and coordination among team members;

[0078] The vehicle health check module is used to monitor various performance indicators of the vehicle, such as engine status and brake system, and provide regular maintenance reminders, warn of potential failures, and recommend maintenance plans.

[0079] The environmental monitoring module is used to monitor air quality and noise levels, optimize routes based on environmental data, provide green travel suggestions, and reduce pollution emissions.

[0080] In this embodiment, preferably, the data acquisition module includes a GPS positioning unit, a sensor unit, a network interface unit and a social media unit;

[0081] The GPS positioning unit is used to obtain the location information of the vehicle;

[0082] The sensor unit is used to obtain speed information of the vehicle;

[0083] The network interface unit is used to obtain real-time traffic information, weather forecast data, etc.

[0084] The social media unit is used to collect emergency information.

[0085] In this embodiment, preferably, the data processing module includes a data cleaning submodule, a data integration submodule, a big data analysis submodule and a machine learning submodule:

[0086] The data cleaning submodule is used to clean the collected data and remove invalid data;

[0087] The data integration submodule is used to integrate data from multiple sources to form a unified data format;

[0088] The big data analysis submodule is used to analyze real-time traffic data using big data processing technology, combine weather forecast information, evaluate the weather impact that different routes may encounter, and predict traffic conditions in the future;

[0089] The machine learning submodule is used to analyze user preferences, determine user travel needs, and optimize data processing models.

[0090] In this embodiment, preferably, the route generation module includes a path planning submodule, a dynamic adjustment submodule and a multi-objective optimization submodule;

[0091] The path planning submodule is used to calculate the optimal path based on the processed data using a path planning algorithm, comprehensively considering multiple indicators such as time, distance, and cost, and provide the user with the optimal solution;

[0092] The dynamic adjustment submodule is used to adjust the route according to real-time traffic changes;

[0093] The multi-objective optimization submodule is used for the user to switch between different priorities.

[0094] In this embodiment, preferably, the safety warning module includes a safety monitoring submodule, an immediate alarm submodule and a rescue guidance submodule;

[0095] The safety monitoring submodule is used to monitor potential safety risks, such as bad weather, accidents, road obstacles, etc.;

[0096] The instant alarm submodule is used to be integrated with the vehicle-mounted system to provide an instant safety alarm.

[0097] The rescue guidance submodule is used to cooperate with the emergency service department to provide rescue guidance.

[0098] In this embodiment, preferably, the output display module includes a graphical display submodule, a voice navigation submodule and a display mode adjustment submodule;

[0099] The graphical display submodule is used to display the route to the user in a graphical manner, including route instructions on the map, text prompts, etc.;

[0100] The voice navigation submodule is used to provide a voice navigation function;

[0101] The display mode adjustment submodule is used to adapt to different ambient light conditions.

[0102] In this embodiment, preferably, the user interaction module includes a touch screen submodule, a voice control submodule, a gesture recognition submodule and a cloud service submodule;

[0103] The touch screen submodule is used to provide a touch screen input mode;

[0104] The voice control submodule is used to provide a voice control method;

[0105] The gesture recognition submodule is used to provide gesture recognition, allowing the driver to operate during driving;

[0106] The cloud service submodule is used to achieve cross-device synchronization through cloud services, ensure a consistent user experience on different devices, and share on social media, so that users can recommend routes to friends.

[0107] A method for generating a car travel route comprises the following steps:

[0108] S1. Data collection, collecting real-time traffic information, weather forecast information, user preference information, etc.;

[0109] S2. Data processing, analyzing and processing the collected data;

[0110] S3. Route generation, generating the optimal travel route based on the processed data;

[0111] S4. User preferences, store and manage user's personalized settings and preferences;

[0112] S5. Security warning, monitoring potential security risks and issuing warnings;

[0113] S6. output display, displaying the generated route to the user in a graphical manner;

[0114] S7. User interaction, receiving user input and providing feedback.

[0115] In this embodiment, preferably, the step S2 further includes:

[0116] S21: Data cleaning: cleaning the collected data and removing invalid data;

[0117] S22: Data integration, integrating data from multiple sources into a unified data format;

[0118] S23: Data analysis, using big data processing technology to analyze real-time traffic data, combined with weather forecast information, to assess the weather impact that different routes may encounter, and predict traffic conditions in the future;

[0119] S24: Machine learning, analyzing user preferences, determining user travel needs, and optimizing data processing models.

[0120] In this embodiment, preferably, step S3 further includes:

[0121] S31: Path planning, based on the processed data, using the path planning algorithm to calculate the optimal path;

[0122] S32: Route selection, which takes into account multiple indicators such as time, distance, and cost to provide users with the best solution;

[0123] S32: Dynamic adjustment, adjusting the route according to real-time traffic changes;

[0124] S33: Multi-objective optimization, allowing users to switch between different priorities.

[0125] Principles and advantages of the present invention:

[0126] Personalized recommendations: Users can set route selection criteria based on their preferences, such as whether they need to avoid congested roads, whether they care about tolls, whether they want to choose a scenic route, etc. The system will generate the best route that meets the user's needs based on these preferences, combined with real-time traffic conditions and other relevant data;

[0127] Real-time update: By integrating GPS, sensors and other devices, the system can obtain the vehicle's location and speed information in real time, and receive real-time traffic information through the network interface. Once congestion or other problems are found on the original route, the system will immediately recalculate the optimal route and send an update notification to the user;

[0128] Multi-factor considerations: In addition to conventional distance and time considerations, the system can also provide more comprehensive and practical route suggestions by integrating multiple factors such as weather forecasts, user preferences, and vehicle status. For example, in severe weather conditions, the system may recommend a longer but safer route.

[0129] Improved safety: The safety warning module can monitor potential safety risks, such as bad weather, accidents, road obstacles, etc., and provide instant safety alerts through integration with the vehicle system. In addition, the system can also work with emergency services to provide rescue guidance, thereby greatly improving driving safety.

[0130] Convenient payment: The system integrates a payment module that can automatically identify tolls and initiate payment requests, supporting multiple payment methods such as credit cards, mobile payments, etc. This not only simplifies the payment process, but also reduces waiting time in queues and improves travel efficiency.

[0131] Social interaction: The social sharing module allows users to share itinerary information through social media and supports the creation of shared itinerary links for friends to join. In addition, the system also provides a group chat function to facilitate communication and coordination among team members, enhancing the social attributes of travel;

[0132] Vehicle maintenance reminder: By monitoring various performance indicators of the vehicle, such as engine status, brake system, etc., the system can provide regular maintenance reminders, warn of potential failures, and recommend maintenance plans, which helps to keep the vehicle in good condition and extend its service life.

[0133] Environmental protection and energy saving: The environmental monitoring module can monitor air quality and noise levels, and optimize routes based on environmental data to reduce pollution emissions. In addition, the system can also provide green travel suggestions to encourage users to adopt low-carbon travel methods and jointly protect the environment.

[0134] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A system for generating a car travel route, characterized in that: It includes data collection module, data processing module, route generation module, user preference module, safety warning module, output display module, user interaction module, payment module, social sharing module, vehicle health check module and environmental monitoring module; The data acquisition module is used to collect real-time traffic information, weather forecast information, and user preference information; The data processing module is used to analyze and process the collected data; The route generation module is used to generate an optimal travel route based on the processed data; The user preference module is used to store and manage the user's personalized settings and preferences; The security warning module is used to monitor potential security risks and issue warnings; The output display module is used to display the generated route to the user in a graphical manner; The user interaction module is used to receive user input and provide feedback; The payment module is used to pay tolls and parking fees online, integrates with multiple payment platforms, provides multiple payment methods, automatically identifies tolls, and initiates payment requests; The social sharing module is used for users to share travel information through social media, synchronize the travel to social applications, provide help for meeting up with friends, and provide group travel functions for communication and coordination among team members; The vehicle health check module is used to monitor various performance indicators of the vehicle, such as engine status and brake system, and provide regular maintenance reminders, warn of potential failures, and recommend maintenance plans. The environmental monitoring module is used to monitor air quality and noise levels, optimize routes based on environmental data, provide green travel suggestions, and reduce pollution emissions.

2. A system for generating a car travel route according to claim 1, characterized in that: The data acquisition module includes a GPS positioning unit, a sensor unit, a network interface unit and a social media unit; The GPS positioning unit is used to obtain the location information of the vehicle; The sensor unit is used to obtain speed information of the vehicle; The network interface unit is used to obtain real-time traffic information, weather forecast data, etc. The social media unit is used to collect emergency information.

3. A system for generating a car travel route according to claim 1, characterized in that: The data processing module includes a data cleaning submodule, a data integration submodule, a big data analysis submodule and a machine learning submodule: The data cleaning submodule is used to clean the collected data and remove invalid data; The data integration submodule is used to integrate data from multiple sources to form a unified data format; The big data analysis submodule is used to analyze real-time traffic data using big data processing technology, combine weather forecast information, evaluate the weather impact that different routes may encounter, and predict traffic conditions in the future; The machine learning submodule is used to analyze user preferences, determine user travel needs, and optimize data processing models.

4. A system for generating a car travel route according to claim 1, characterized in that: The route generation module includes a path planning submodule, a dynamic adjustment submodule and a multi-objective optimization submodule; The path planning submodule is used to calculate the optimal path based on the processed data using a path planning algorithm, comprehensively considering multiple indicators such as time, distance, and cost, and provide the user with the optimal solution; The dynamic adjustment submodule is used to adjust the route according to real-time traffic changes; The multi-objective optimization submodule is used for the user to switch between different priorities.

5. The system for generating a car travel route according to claim 1, characterized in that: The safety warning module includes a safety monitoring submodule, an immediate alarm submodule and a rescue guidance submodule; The safety monitoring submodule is used to monitor potential safety risks, such as bad weather, accidents, road obstacles, etc.; The instant alarm submodule is used to be integrated with the vehicle-mounted system to provide an instant safety alarm. The rescue guidance submodule is used to cooperate with the emergency service department to provide rescue guidance.

6. A system for generating a car travel route according to claim 1, characterized in that: The output display module includes a graphical display submodule, a voice navigation submodule and a display mode adjustment submodule; The graphical display submodule is used to display the route to the user in a graphical manner, including route instructions on the map, text prompts, etc.; The voice navigation submodule is used to provide a voice navigation function; The display mode adjustment submodule is used to adapt to different ambient light conditions.

7. The system for generating a car travel route according to claim 1, characterized in that: The user interaction module includes a touch screen submodule, a voice control submodule, a gesture recognition submodule and a cloud service submodule; The touch screen submodule is used to provide a touch screen input mode; The voice control submodule is used to provide a voice control method; The gesture recognition submodule is used to provide gesture recognition, allowing the driver to operate during driving; The cloud service submodule is used to achieve cross-device synchronization through cloud services, ensure a consistent user experience on different devices, and share on social media, so that users can recommend routes to friends.

8. A method for generating a car travel route, characterized in that: The following steps are involved: S1. Data collection, collecting real-time traffic information, weather forecast information, user preference information, etc.; S2. Data processing: analyzing and processing the collected data; S3. Route generation, generating the optimal travel route based on the processed data; S4. User preferences, store and manage user's personalized settings and preferences; S5. Security warning, monitoring potential security risks and issuing warnings; S6. output display, displaying the generated route to the user in a graphical manner; S7. User interaction, receiving user input and providing feedback.

9. The method for generating a car travel route according to claim 8, characterized in that: The step S2 further comprises: S21: Data cleaning: cleaning the collected data and removing invalid data; S22: Data integration, integrating data from multiple sources into a unified data format; S23: Data analysis, using big data processing technology to analyze real-time traffic data, combined with weather forecast information, to assess the weather impact that different routes may encounter, and predict traffic conditions in the future; S24: Machine learning, analyzing user preferences, determining user travel needs, and optimizing data processing models.

10. The method for generating a car travel route according to claim 8, characterized in that: The step S3 further comprises: S31: Path planning, based on the processed data, using the path planning algorithm to calculate the optimal path; S32: Route selection, which takes into account multiple indicators such as time, distance, and cost to provide users with the best solution; S32: Dynamic adjustment, adjusting the route according to real-time traffic changes; S33: Multi-objective optimization, allowing users to switch between different priorities.

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