CN110986985A - Vehicle travel pushing method and device, medium, control terminal and automobile - Google Patents
Vehicle travel pushing method and device, medium, control terminal and automobile Download PDFInfo
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- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
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- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
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Abstract
The application relates to the field of vehicle travel purpose prediction, in particular to a vehicle travel pushing method, a device, a medium, a control terminal and an automobile, wherein the method comprises the following steps: responding to a journey starting signal triggered by a user, and acquiring the boarding time and boarding place of the user; determining a starting point area of a journey according to the boarding place, and acquiring a place attribute of the starting point area; determining an application scene of a journey according to the place attribute and the boarding time, and acquiring a journey destination and route preference corresponding to the application scene; and generating a navigation route going to the travel destination according to the travel destination and the route preference, and pushing the navigation route to a user. The method and the device can intelligently predict the travel purpose of the user, and improve the intellectualization and the efficiency of navigation.
Description
Technical Field
The application relates to the field of vehicle travel purpose prediction, in particular to a vehicle travel pushing method, device, medium, control terminal and automobile.
Background
With the increasing preservation quantity of vehicles, people increasingly choose vehicles to go out, and with the development of the internet, the intellectualization of the vehicles also needs to be developed, and at present, vehicle-mounted navigation provided on the vehicles needs a user to input a destination and then generate a route, the user can navigate after selecting the route, the user cannot rapidly navigate for the user, and particularly, the user cannot efficiently recommend the navigation route for the frequently-going address.
Disclosure of Invention
In order to overcome the technical problems, in particular to the problem that the travel purpose of the user and the recommended navigation route cannot be accurately and efficiently predicted in the prior art, the following technical scheme is particularly provided:
in a first aspect, the present application provides a vehicle journey pushing method, including:
responding to a journey starting signal triggered by a user, and acquiring the boarding time and boarding place of the user;
determining a starting point area of a journey according to the boarding place, and acquiring a place attribute of the starting point area;
determining an application scene of a journey according to the place attribute and the boarding time, and acquiring a journey destination and route preference corresponding to the application scene;
and generating a navigation route going to the travel destination according to the travel destination and the route preference, and pushing the navigation route to a user.
Further, the navigation route is determined by a vehicle journey recommendation model; after obtaining the boarding time and the boarding place of the user, the method further comprises the following steps:
taking the boarding time and the boarding place of the user as the input of a vehicle travel recommendation model;
the vehicle journey recommendation model determines a starting point area of a journey according to the boarding place, and obtains a place attribute of the starting point area; determining an application scene of a journey according to the place attribute and the boarding time, and acquiring a journey destination and route preference corresponding to the application scene; generating a navigation route to the travel destination according to the travel destination and the route preference;
the navigation route is an output of a vehicle trip recommendation model.
Further, the application scene comprises a work scene, a home scene or other scenes;
the vehicle journey recommendation model is trained by the following method:
acquiring a historical travel of a vehicle as a target sample;
selecting user boarding information and user behavior habit information in a historical trip as characteristic information of a target sample;
marking an application scene for the historical travel according to destination information in the historical travel;
training a vehicle travel recommendation model according to the characteristic information of the target sample and the marked application scene to obtain parameters of the vehicle travel recommendation model;
obtaining the comparison between the characteristic information of a single trip and the behavior habit information of a user as the combined characteristic information of a target sample;
and optimizing parameters of the vehicle travel recommendation model according to the combined characteristic information to determine the vehicle travel recommendation model.
Further, before the determining a starting point area of the trip according to the boarding location and acquiring the location attribute of the starting point area, the method further includes:
collecting historical trips of the vehicle;
acquiring the coordinate position of a starting point in the historical travel of the vehicle;
converting the coordinate position of the starting point into a character string based on a Geohash algorithm to cluster the starting point, and dispersing the starting point into points in a plurality of planning areas;
and carrying out statistical identification on historical travel of points in the same planning region, determining travel rules of the historical travel of the points in the planning region, and determining the attributes of the planning region according to the travel rules.
Further, before determining the application scenario of the trip according to the location attribute and the boarding time, the method further includes:
acquiring a coordinate position of a terminal point in a historical travel of the vehicle;
converting the coordinate position of the terminal point into a character string based on a Geohash algorithm to cluster the terminal point, and dispersing the terminal point into points in a plurality of planning areas;
acquiring at least two historical trips to be processed, wherein the planning area where the starting point is located is the same as the planning area where the terminal point is located;
and calculating the travel track difference of the historical travels to be processed, if the travel track difference is smaller than a preset threshold value, determining the at least two historical travels to be processed as travels of the same type, and determining the at least two historical travels to be processed as travels of the same application scene.
Further, the application scenario includes a multi-purpose application scenario; the obtaining of the travel destination corresponding to the application scenario includes:
acquiring a path destination and an end point destination corresponding to the application scene;
the generating a navigation route to the travel destination according to the travel destination and the route preference includes:
and generating navigation routes to the route destination and the destination according to the route destination and the destination and route preference.
Further, after the determining an application scenario of the trip according to the location attribute and the boarding time and obtaining a trip destination and a route preference corresponding to the application scenario, the method further includes:
matching corresponding scene services according to the application scenes;
and pushing the multimedia information corresponding to the scene service to the user.
In a second aspect, the present application provides a vehicle journey pushing device, including:
getting on the bus information acquisition module: the system comprises a control module, a display module, a control module and a display module, wherein the control module is used for responding to a journey starting signal triggered by a user, and acquiring the boarding time and boarding place of the user;
a location attribute acquisition module: the starting point area is used for determining a travel according to the boarding place, and the place attribute of the starting point area is obtained;
a trip purpose prediction module: the application scene used for determining the journey according to the place attribute and the getting-on time is used for obtaining a journey destination and route preference corresponding to the application scene;
navigation route propelling movement module: the route pushing system is used for generating a navigation route going to the travel destination according to the travel destination and the route preference and pushing the navigation route to a user.
In a third aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, where the computer program, when executed by a processor, implements the vehicle journey pushing method described above.
In a fourth aspect, the present application also provides a control terminal comprising one or more processors, memory, one or more computer programs stored in the memory and configured to be executed by the one or more processors, the one or more computer programs configured to perform the vehicle trip pushing method described above.
In a fifth aspect, the present application further provides an automobile comprising an onboard control system configured to perform the vehicle trip pushing method described above.
Compared with the prior art, the application has the following beneficial effects:
the method comprises the steps of obtaining the boarding time and the boarding place of a user after a trip starting signal triggered by the user, then determining a starting point area of a trip according to the boarding place, obtaining the place attribute of the starting point area, determining the trip requirement of the user by combining the boarding time after the place attribute of the boarding place is determined, determining an application scene of the trip, obtaining the trip destination of the user according to the application scene, determining the route preference going to the formed destination according to the application scene, and generating a navigation route going to the trip destination according to the trip destination and the route preference after the trip destination and the route preference are determined. According to the method and the device, the relevant operation is executed when the effectively triggered travel starting signal is detected, the user does not need to operate, the operation time is shortened, the efficiency is improved, the destination is intelligently predicted to be inquired by the user, the navigation route of the potential destination can be pushed to the user without manual operation of the user, and therefore the navigation intelligence and the navigation efficiency are improved.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart illustrating an embodiment of a vehicle journey pushing method according to the present application;
FIG. 2 is a schematic diagram of one embodiment of features selected by the present application for training a vehicle trip recommendation model;
FIG. 3 is a schematic view of an embodiment of a vehicle journey pushing device according to the present application;
fig. 4 is a schematic structural diagram of an embodiment of a control terminal according to the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, or operations, but do not preclude the presence or addition of one or more other features, integers, steps, operations, or groups thereof.
It will be understood by those within the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The technical scheme of this embodiment can use at vehicle mounted terminal, and in the concrete implementation, at the vehicle mounted terminal of vehicle deployment vehicle-mounted application to cooperation high in the clouds server handles the user to vehicle mounted terminal's instruction, realizes carrying out intelligent journey propelling movement on vehicle mounted terminal. In the following embodiments of the present application, a vehicle-mounted terminal is mainly taken as an example, and the embodiment is described by combining a vehicle-mounted application, such as a vehicle-mounted navigation and a vehicle-mounted AI assistant, where the vehicle-mounted AI assistant is an intelligent vehicle-mounted application and is not limited to the vehicle-mounted application.
The embodiment of the application provides a vehicle journey pushing method, as shown in fig. 1, the method includes the following steps:
s10: and responding to a journey starting signal triggered by the user, and acquiring the boarding time and boarding place of the user.
In this embodiment, the vehicle-mounted terminal responds to a trip start signal triggered by a user, where the trip start signal includes a seating signal and a cab door opening signal, and in one implementation, the seating signal includes a user sitting in a cab and starting a vehicle, so as to trigger the trip start signal; in another implementation, the cab door open signal includes a cab side door open, and the user sits in the cab and fastens a seat belt. In this embodiment, a plurality of sensors are installed on a vehicle to acquire operation behaviors of a user, and then the operation behaviors are converted into corresponding event signals and transmitted to a vehicle-mounted terminal, and the vehicle-mounted terminal judges whether the event signals are travel starting signals or not according to the acquired event signals. Further, before responding to a user-triggered travel start signal, effective trigger judgment is performed on the travel start signal, and the method for judging whether the travel start signal is effectively triggered includes: and detecting a seat signal of a main driving position in a state that the vehicle is in the P gear, and if the signal value of the seat signal of the main driving position changes and the jumping time interval reaches a set time interval, judging that the trigger is effective. When a user triggers a travel starting signal, the vehicle-mounted terminal responds to the travel starting signal triggered by the user to acquire the boarding time and the boarding place of the user, wherein the boarding time is the current boarding time of the user, the boarding place is determined by acquiring the position of the current vehicle acquired by a Positioning System, the Positioning System comprises a GPS (Global Positioning System) and a Beidou System, and the position of the vehicle is accurately positioned according to the Positioning System. Trigger through the stroke start signal in this embodiment, relevant operation is just carried out at the stroke start signal that detects effective triggering to vehicle mounted terminal, and the user need not to operate, reduces the time of operation, raises the efficiency, and intelligent degree is high.
S20: and determining a starting point area of a journey according to the boarding place, and acquiring the place attribute of the starting point area.
After the boarding location of the user is obtained, the starting point area of the travel is determined according to the boarding location, and in the embodiment, the boarding place is the starting point of the journey, the starting point of the journey is converted into abstract position coordinates, such as GPS coordinates, and the position coordinates of the starting point of each trip cannot be completely overlapped, in the embodiment, the address coordinates are subjected to area division, for example, a map is subjected to area division on the map, when different geographic coordinates are located in the same divided area, the different geographic coordinates are defined to belong to the same area, in this embodiment, after the geographic coordinates of the boarding place are determined, the area described by the geographic coordinates can be determined, that is, the starting point area of the trip is determined according to (the geographic coordinates of) the boarding point, further, different point attributes are defined for different areas in the embodiment, and then the corresponding point attributes can be determined according to the starting point area. In one embodiment, for example, in guangzhou, the geographic range of the parking lot including the locations of taigu, Tianhecheng, Zhengjia square, and various prefectures of the davolla, the kohlfu, the lotus flower supermarket and the like is crawled, then the area ranges of the locations are divided according to the geographic ranges of the locations, and corresponding attributes are labeled for the areas of the locations. After the geographic coordinates of the boarding place are obtained, judging which area the geographic coordinates of the boarding place belong to, and determining a starting point area of the journey, so as to determine the place attribute of the starting point area.
S30: determining an application scene of the journey according to the place attribute and the boarding time, and acquiring a journey destination and route preference corresponding to the application scene.
In this embodiment, after the location attribute of the boarding location is determined, the travel demand of the user is predicted in combination with the boarding time, an application scenario of a trip is determined, a destination of the user for traveling is obtained according to the application scenario, and a route preference to the destination is determined according to the application scenario. When the application scenario of the trip is determined, the corresponding trip destination and route preference can be determined.
Further, since the same vehicle may be driven by different drivers, in this embodiment, when the travel destination and the route preference corresponding to the application scene are obtained, the identification is further performed according to the identity information of the driver, so as to obtain the travel destination and the route preference corresponding to the application scene of the driver, and correspondingly, the application scene, the travel destination and the route preference are classified and stored in the database according to the identity information of the different drivers, so as to determine the corresponding application scene according to the identity information of the different drivers.
S40: and generating a navigation route going to the travel destination according to the travel destination and the route preference, and pushing the navigation route to a user.
In the embodiment, after the travel destination and the route preference are determined, the navigation route to the travel destination is generated according to the travel destination and the route preference, and further, when the navigation route is generated according to the route preference, the navigation route is corrected by combining real-time road conditions, the navigation route to the travel destination is regenerated, and then the navigation route is pushed to the user. An embodiment of this application, through on-vehicle big screen propelling movement the navigation route, on-vehicle big screen conduct in the car can be directly perceived for the carrier of user show information, will the navigation route show on-vehicle big screen, can let the user clearly, know the navigation route directly perceivedly, need not that the user moves the navigation route that can be to user propelling movement potential destination to the intellectuality and the efficiency of navigation have been improved.
The embodiment provides a method for intelligently predicting a travel purpose of a user and pushing a navigation route for the user, which includes the steps of obtaining a boarding time and a boarding place of the user after a travel starting signal triggered by the user, then determining a starting point area of a travel according to the boarding place, obtaining a place attribute of the starting point area, predicting a travel demand of the user by combining the boarding time after the place attribute of the boarding place is determined, determining an application scene of the travel, obtaining a travel destination of the user according to the application scene, determining a route preference going to the formed destination according to the application scene, and generating the navigation route going to the travel destination according to the travel destination and the route preference after the travel destination and the route preference are determined. According to the method and the device, the relevant operation is executed when the effectively triggered travel starting signal is detected, the user does not need to operate, the operation time is shortened, the efficiency is improved, the destination is intelligently predicted to be inquired by the user, the navigation route of the potential destination can be pushed to the user without manual operation of the user, and therefore the navigation intelligence and the navigation efficiency are improved.
In one embodiment of the present application, the navigation route is determined by a vehicle trip recommendation model; after obtaining the boarding time and the boarding place of the user, the method further comprises the following steps:
taking the boarding time and the boarding place of the user as the input of a vehicle travel recommendation model;
the vehicle journey recommendation model determines a starting point area of a journey according to the boarding place, and obtains a place attribute of the starting point area; determining an application scene of a journey according to the place attribute and the boarding time, and acquiring a journey destination and route preference corresponding to the application scene; generating a navigation route to the travel destination according to the travel destination and the route preference;
the navigation route is an output of a vehicle trip recommendation model.
In this embodiment, the navigation route is determined by a vehicle route recommendation model, after the vehicle-mounted terminal responds to a route start signal triggered by a user and obtains the boarding time and the boarding place of the user, the boarding time and the boarding place of the user are used as inputs of the vehicle route recommendation model, and the prediction of a route destination and the generation of the navigation route are executed by the vehicle route recommendation model, so as to achieve a route recommendation effect, that is, the vehicle route recommendation model determines a starting point area of a route according to the boarding place and obtains a place attribute of the starting point area; determining an application scene of a journey according to the place attribute and the boarding time, and acquiring a journey destination and route preference corresponding to the application scene; and generating a navigation route to the travel destination according to the travel destination and the route preference, wherein the navigation route is output of a vehicle travel recommendation model, and the vehicle-mounted terminal can push the navigation route after receiving the output of the vehicle travel recommendation model. In the embodiment, triggering of a travel starting signal and pushing of a navigation route by a vehicle-mounted terminal are separated from outputting of the navigation route by a vehicle travel recommendation model, in one implementation mode, the vehicle travel recommendation model is deployed in a cloud server, the vehicle-mounted terminal sends the boarding time and the boarding place of a user to the cloud server after acquiring the boarding time and the boarding place of the user, the vehicle travel recommendation model deployed in the cloud server predicts a travel destination and generates the navigation route, and then sends the navigation route to the vehicle-mounted terminal, the vehicle-mounted terminal can push the navigation route to the user, the travel destination can be predicted and the navigation route can be generated quickly based on strong computing power of the cloud server, navigation intellectualization and efficiency are improved, and resources of the vehicle-mounted terminal are saved. In another embodiment, the vehicle travel recommendation model is deployed at the vehicle-mounted terminal, so that the travel destination can be predicted and the navigation route can be generated even in an off-line mode, and the application universality of intelligent navigation is improved.
In an embodiment of the present application, the application scenario includes a work scenario, a home-returning scenario, or other scenarios;
the vehicle journey recommendation model is trained by the following method:
acquiring a historical travel of a vehicle as a target sample;
selecting user boarding information and user behavior habit information in a historical trip as characteristic information of a target sample;
marking an application scene for the historical travel according to destination information in the historical travel;
training a vehicle travel recommendation model according to the characteristic information of the target sample and the marked application scene to obtain parameters of the vehicle travel recommendation model;
obtaining the comparison between the characteristic information of a single trip and the behavior habit information of a user as the combined characteristic information of a target sample;
and optimizing parameters of the vehicle travel recommendation model according to the combined characteristic information to determine the vehicle travel recommendation model.
In this embodiment, one of the important functions of the vehicle trip recommendation model is to predict a trip purpose, which needs to be determined, the application scenario of this embodiment includes a work scenario, a return-to-home scenario or other scenarios, and the application scenario is simplified into the work scenario, the return-to-home scenario and other scenarios, the vehicle trip recommendation model needs to be trained to learn the relevant information (real-time information) of the user getting on the bus and the behavior habits (historical information) of the user, so as to solve the problem of the user's commuting purpose and trip route prediction, and specifically, the vehicle trip recommendation model is trained in the following manner: obtaining historical trips of a vehicle as a target sample, firstly selecting the sample, selecting approximately 200 historical trips of approximately 1 million vehicles in a few months in the embodiment, taking approximately 200 ten thousand trips as the target sample, then selecting user getting-on information and user behavior habit information in the historical trips as characteristic information of the target sample, as shown in fig. 2, the getting-on information is user getting-on related information in fig. 2, including getting-on time, getting-on place and the like, the user behavior habit information is user behavior habit in fig. 2, including time basis statistics, place basis statistics, probability statistics and the like, then obtaining destination information in the historical trips, determining attributes of the destination, and labeling an application scene for the trips according to the destination information, 0 is a going-on trip application scene, and 1 is a going-home trip application scene, recording the current trip application scenario as another trip application scenario, automatically labeling the application scenario of the historical trip according to whether the destination of the trip is near the home of the user or near the company during labeling, then training the vehicle trip recommendation model according to the feature information of the target sample and the labeled application scenario to obtain parameters of the vehicle trip recommendation model, then obtaining comparison between the feature information of a single trip and the behavior habit information of the user as combined feature information of the target sample, wherein the combined feature information comprises feature information such as the standard deviation of the boarding time vs and the standard deviation of the boarding place vs in fig. 2, optimizing the parameters of the vehicle trip recommendation model according to the combined feature information, trying various feature combinations, and determining the vehicle trip recommendation model, and in one embodiment, the vehicle trip recommendation model is GBDT (GradientBoosting Decision Tree, gradient boosting tree) route recommendation model. Through training of the vehicle journey recommendation model, the prediction of travel purposes and the recommendation of travel routes under the working scene, the home-returning scene or other scenes can be solved, then other scenes are subdivided, and then the vehicle journey recommendation model suitable for various application scenes is trained.
In an embodiment of the application, before determining a starting point area of a trip according to the boarding location and acquiring a location attribute of the starting point area, the method further includes:
collecting historical trips of the vehicle;
acquiring the coordinate position of a starting point in the historical travel of the vehicle;
converting the coordinate position of the starting point into a character string based on a Geohash algorithm to cluster the starting point, and dispersing the starting point into points in a plurality of planning areas;
and carrying out statistical identification on historical travel of points in the same planning region, determining travel rules of the historical travel of the points in the planning region, and determining the attributes of the planning region according to the travel rules.
In this embodiment, before determining the starting point area of the trip according to the boarding location, it is necessary to perform area division on address coordinates of the starting point of the trip, specifically, collect a historical trip of the vehicle, then obtain a coordinate position of the starting point in the historical trip of the vehicle, where the position coordinates of the starting point of each trip of the same trip cannot be completely overlapped, at this time, convert the coordinate position of the starting point into a character string based on a Geohash algorithm, where the Geohash algorithm converts two-dimensional longitude and latitude corresponding to the position coordinates into a character string, each character string represents a rectangular area, the starting point is dispersed as a point in a plurality of planning areas, the starting points in the historical trip are dispersed in different rectangular areas, all points (longitude and latitude coordinates) in the same rectangular area share the same Geohash character string, and perform statistical identification on historical trips of points in the same planning area, and judging the attributes of the planning area, judging the geographical significance represented by the points of a certain type of area by the location attribute judging module, marking the area with the geographical significance, counting the travel rule of the historical travel of the points of the planning area, and determining the attributes of the planning area according to the travel rule. In one embodiment, the location attribute includes home, company, school, restaurant, hotel, car repair shop, etc., taking the most common travel of home and company as an example, the travel on the working day may be counted, if the cumulative graph of the travel duration time period satisfies a typical double-hump or four-hump normal distribution, the day satisfying the distribution occupies a certain proportion of the whole working day, and the change of the hump width is within a certain range (similar to the consumption time on working), the user may be determined to be a working family, and then under the condition that the person is known to be the working family, by clustering the departure point of the first travel and the destination of the last travel on the working day, if 80% (adjustable) points can be assigned to the same class, the location attribute of the planning area described as the departure point may be determined to be home or company. By analyzing the travel rules of the user, the attributes of the planned area, which may be a home, a company or other location, can be noted. For areas with other place attributes, the attributes of the places are obtained by combining means such as 'reverse geocoding', and the like, so that planning areas with attributes such as schools, hospitals, car repair shops and the like are marked. Preferably, the embodiment may also be a training process of the vehicle journey recommendation model.
In an embodiment of the application, before determining an application scenario of a trip according to the location attribute and the boarding time, the method further includes:
acquiring a coordinate position of a terminal point in a historical travel of the vehicle;
converting the coordinate position of the terminal point into a character string based on a Geohash algorithm to cluster the terminal point, and dispersing the terminal point into points in a plurality of planning areas;
acquiring at least two historical trips to be processed, wherein the planning area where the starting point is located is the same as the planning area where the terminal point is located;
and calculating the travel track difference of the historical travels to be processed, if the travel track difference is smaller than a preset threshold value, determining the at least two historical travels to be processed as travels of the same type, and determining the at least two historical travels to be processed as travels of the same application scene.
In the above embodiment, the area planning for the starting point of the trip and the attribute of the positioning planning area are mentioned, in this embodiment, an area is also planned for the end point of the trip, specifically, the coordinate position of the end point in the historical trip of the vehicle is obtained, the coordinate position of the end point is converted into a character string based on a Geohash algorithm to cluster the end point, the end point is dispersed into points in a plurality of planning areas, so as to determine the planning area to which the end point of the trip belongs, and determine the location attribute of the planning area to which the end point belongs, further, different driving routes can be used for the same trip purpose And calculating the travel track difference of the historical travel to be processed by comparing every two travel routes with the same end point in the same area, in one embodiment, calculating the travel track difference of the historical travel to be processed by calculating Frechet Distance, determining the at least two historical travel to be processed as the same type of travel if the travel track difference is smaller than a preset threshold, and giving labels to the classified travel routes through the attributes of destination points so as to determine the at least two historical travel to be processed as the travel routes of the same application scene. By screening and classifying the journey, the application scene of the journey is accurately determined, and the accuracy of the preset journey purpose is improved.
In an embodiment of the present application, the application scenario includes a multi-purpose application scenario; the obtaining of the travel destination corresponding to the application scenario includes:
acquiring a path destination and an end point destination corresponding to the application scene;
the generating a navigation route to the travel destination according to the travel destination and the route preference includes:
and generating navigation routes to the route destination and the destination according to the route destination and the destination and route preference.
In this embodiment, the application scenarios include multi-purpose application scenarios, for example, application scenarios such as sending a child to school and then going to work, receiving a child to school and then going home, or buying breakfast and then going to work, and a plurality of destinations are required in the application scenarios. Further, the application scenes can be determined by the passengers in the vehicle, for example, after a child enters the seat of the vehicle, the corresponding application scene is identified as the application scene sent to the child to learn and go to work again, so that the navigation routes to the route destination (child school) and the destination (company) are generated, and the generation efficiency of the navigation routes is improved.
In an embodiment of the application, after determining an application scenario of a trip according to the location attribute and the boarding time and obtaining a trip destination and a route preference corresponding to the application scenario, the method further includes:
matching corresponding scene services according to the application scenes;
and pushing the multimedia information corresponding to the scene service to the user.
In this embodiment, after an application scenario of a trip is determined, a trip destination and a route preference corresponding to the application scenario are obtained, and then a navigation route leading to the trip destination is pushed to a user. In one embodiment, the application scene of the travel is travel road condition reminding, after a travel destination of a user is determined, a corresponding navigation route is generated, the matched scene service at the moment is a road condition reminding service, then road condition information of the navigation route is obtained, and multimedia information of the road condition information of the navigation route is pushed and broadcasted for the user; in another embodiment, the application scenario of the trip is to go home after work late at night, when the user starts the car at night, and the travel purpose of the user is predicted to go home through the embodiment of the present application, it is determined that the application scenario is to go home after work late at night, and the matched scenario service is a greeting service for getting on the car, and then the matched scenario service is pushed to the user, such as "go home after work late, please take care to drive the car on the road. "multimedia information; in yet another embodiment of the present application, the application scenario of the itinerary is to pick up children, when the user is predicted to go to school to pick up children or to send children to school, the scenario service matched at this time is the entertainment information service, and then the multimedia information such as animation that children like to watch or talking books or other children's programs that children like to listen to is pushed to the user. By matching scene services in different application scenes, related multimedia information is intelligently and accurately pushed to a user in different scenes, so that travel in different scenes is enriched, and the individuation of a journey and the content enrichment degree are improved.
In another embodiment, as shown in fig. 3, the present application provides a vehicle trip pushing device, including:
getting-on information acquisition module 10: the system comprises a control module, a display module, a control module and a display module, wherein the control module is used for responding to a journey starting signal triggered by a user, and acquiring the boarding time and boarding place of the user;
the location attribute acquisition module 20: the starting point area is used for determining a travel according to the boarding place, and the place attribute of the starting point area is obtained;
trip purpose prediction module 30: the application scene used for determining the journey according to the place attribute and the getting-on time is used for obtaining a journey destination and route preference corresponding to the application scene;
navigation route pushing module 40: the route pushing system is used for generating a navigation route going to the travel destination according to the travel destination and the route preference and pushing the navigation route to a user.
In one embodiment of the present application, the navigation route is determined by a vehicle trip recommendation model; the getting-on information acquiring module 10 further performs:
taking the boarding time and the boarding place of the user as the input of a vehicle travel recommendation model;
the vehicle journey recommendation model determines a starting point area of a journey according to the boarding place, and obtains a place attribute of the starting point area; determining an application scene of a journey according to the place attribute and the boarding time, and acquiring a journey destination and route preference corresponding to the application scene; generating a navigation route to the travel destination according to the travel destination and the route preference;
the navigation route is an output of a vehicle trip recommendation model.
In an embodiment of the present application, the application scenario includes a work scenario, a home-returning scenario, or other scenarios;
the vehicle journey recommendation model is trained by the following method:
acquiring a historical travel of a vehicle as a target sample;
selecting user boarding information and user behavior habit information in a historical trip as characteristic information of a target sample;
marking an application scene for the historical travel according to destination information in the historical travel;
training a vehicle travel recommendation model according to the characteristic information of the target sample and the marked application scene to obtain parameters of the vehicle travel recommendation model;
obtaining the comparison between the characteristic information of a single trip and the behavior habit information of a user as the combined characteristic information of a target sample;
and optimizing parameters of the vehicle travel recommendation model according to the combined characteristic information to determine the vehicle travel recommendation model.
In an embodiment of the present application, the apparatus further comprises means for performing:
collecting historical trips of the vehicle;
acquiring the coordinate position of a starting point in the historical travel of the vehicle;
converting the coordinate position of the starting point into a character string based on a Geohash algorithm to cluster the starting point, and dispersing the starting point into points in a plurality of planning areas;
and carrying out statistical identification on historical travel of points in the same planning region, determining travel rules of the historical travel of the points in the planning region, and determining the attributes of the planning region according to the travel rules.
In an embodiment of the present application, the apparatus further comprises means for performing:
acquiring a coordinate position of a terminal point in a historical travel of the vehicle;
converting the coordinate position of the terminal point into a character string based on a Geohash algorithm to cluster the terminal point, and dispersing the terminal point into points in a plurality of planning areas;
acquiring at least two historical trips to be processed, wherein the planning area where the starting point is located is the same as the planning area where the terminal point is located;
and calculating the travel track difference of the historical travels to be processed, if the travel track difference is smaller than a preset threshold value, determining the at least two historical travels to be processed as travels of the same type, and determining the at least two historical travels to be processed as travels of the same application scene.
In an embodiment of the present application, the application scenario includes a multi-purpose application scenario; the trip destination prediction module 30 further performs:
acquiring a path destination and an end point destination corresponding to the application scene;
the navigation route pushing module 40 further performs:
and generating navigation routes to the route destination and the destination according to the route destination and the destination and route preference.
In an embodiment of the present application, the trip destination prediction module 30 further performs:
matching corresponding scene services according to the application scenes;
and pushing the multimedia information corresponding to the scene service to the user.
In another embodiment, the present application provides a computer-readable storage medium having a computer program stored thereon, where the computer program is executed by a processor to implement the vehicle journey pushing method according to the above-mentioned embodiments. The computer-readable storage medium includes, but is not limited to, any type of disk including floppy disks, hard disks, optical disks, CD-ROMs, and magneto-optical disks, ROMs (Read-Only memories), RAMs (Random access memories), EPROMs (EraSable Programmable Read-Only memories), EEPROMs (Electrically EraSable Programmable Read-Only memories), flash memories, magnetic cards, or optical cards. That is, a storage device includes any medium that stores or transmits information in a form readable by a device, and may be a read-only memory, a magnetic or optical disk, or the like.
The computer-readable storage medium provided by the embodiment of the application can respond to a journey starting signal triggered by a user to acquire the boarding time and boarding place of the user; determining a starting point area of a journey according to the boarding place, and acquiring a place attribute of the starting point area; determining an application scene of a journey according to the place attribute and the boarding time, and acquiring a journey destination and route preference corresponding to the application scene; and generating a navigation route going to the travel destination according to the travel destination and the route preference, and pushing the navigation route to a user. The method comprises the steps of obtaining the boarding time and the boarding place of a user after a trip starting signal triggered by the user, then determining a starting point area of a trip according to the boarding place, obtaining the place attribute of the starting point area, predicting the trip demand of the user by combining the boarding time after the place attribute of the boarding place is determined, determining an application scene of the trip, obtaining the trip destination of the user according to the application scene, determining the route preference to the formed destination according to the application scene, and generating a navigation route to the trip destination according to the trip destination and the route preference after the trip destination and the route preference are determined. According to the method and the device, the relevant operation is executed when the effectively triggered travel starting signal is detected, the user does not need to operate, the operation time is shortened, the efficiency is improved, the destination is intelligently predicted to be inquired by the user, the navigation route of the potential destination can be pushed to the user without manual operation of the user, and therefore the navigation intelligence and the navigation efficiency are improved.
The computer-readable storage medium provided in the embodiment of the present application may implement the embodiment of the vehicle journey pushing method, and for specific function implementation, reference is made to descriptions in the method embodiment, which are not described herein again.
In addition, in another embodiment, the present application further provides a control terminal, as shown in fig. 4, the control terminal includes a processor 403, a memory 405, an input unit 407, a display unit 409, and other devices. Those skilled in the art will appreciate that the structural devices illustrated in fig. 4 do not constitute a limitation of all control terminals and may include more or fewer components than those illustrated, or some components in combination. The memory 405 may be used to store the computer program 401 and the functional modules, and the processor 403 executes the computer program 401 stored in the memory 405, thereby executing various functional applications of the device and data processing. The memory 405 may be an internal memory or an external memory, or include both internal and external memories. The memory may comprise read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), flash memory, or random access memory.
The input unit 407 is configured to receive input of signals and input of a user, and the input unit 407 may include a touch panel and other input devices, where the touch panel may collect touch operations of the user on or near the touch panel and drive a corresponding connection device according to a preset program. The display unit 409 may be used to display information input by a user or information provided to a user and various menus of the computer device. The display unit 409 may take the form of a liquid crystal display, an organic light emitting diode, or the like. The processor 403 is a control center of the computer device, connects various parts of the entire computer using various interfaces and lines, and performs various functions and processes data by operating or executing software programs and/or modules stored in the memory 403 and calling data stored in the memory.
In one embodiment, the control terminal includes one or more processors 403, and one or more memories 405, one or more computer programs 401, wherein the one or more computer programs 401 are stored in the memory 405 and configured to be executed by the one or more processors 403, and the one or more computer programs 401 are configured to perform the vehicle trip pushing method described in the above embodiments. The one or more processors 403 shown in fig. 4 can execute and implement the functions of the boarding information acquisition module 10, the place attribute acquisition module 20, the trip purpose prediction module 30, and the navigation route push module 40 shown in fig. 3.
The control terminal provided by the embodiment of the application can respond to a journey starting signal triggered by a user and acquire the boarding time and boarding place of the user; determining a starting point area of a journey according to the boarding place, and acquiring a place attribute of the starting point area; determining an application scene of a journey according to the place attribute and the boarding time, and acquiring a journey destination and route preference corresponding to the application scene; and generating a navigation route going to the travel destination according to the travel destination and the route preference, and pushing the navigation route to a user. The method comprises the steps of obtaining the boarding time and the boarding place of a user after a trip starting signal triggered by the user, then determining a starting point area of a trip according to the boarding place, obtaining the place attribute of the starting point area, predicting the trip demand of the user by combining the boarding time after the place attribute of the boarding place is determined, determining an application scene of the trip, obtaining the trip destination of the user according to the application scene, determining the route preference to the formed destination according to the application scene, and generating a navigation route to the trip destination according to the trip destination and the route preference after the trip destination and the route preference are determined. According to the method and the device, the relevant operation is executed when the effectively triggered travel starting signal is detected, the user does not need to operate, the operation time is shortened, the efficiency is improved, the destination is intelligently predicted to be inquired by the user, the navigation route of the potential destination can be pushed to the user without manual operation of the user, and therefore the navigation intelligence and the navigation efficiency are improved.
The control terminal provided in the embodiment of the present application can implement the embodiment of the vehicle journey pushing method provided above, and for specific function implementation, reference is made to the description in the method embodiment, which is not described herein again.
In addition, in another embodiment, the present application further provides a vehicle, where the vehicle includes a vehicle-mounted control system, and the vehicle-mounted control system may implement the embodiment of the vehicle travel pushing method provided above, and for specific function implementation, reference is made to descriptions in the above method embodiment, and details are not repeated here.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, several modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (10)
1. A vehicle trip pushing method, characterized by comprising the steps of:
responding to a journey starting signal triggered by a user, and acquiring the boarding time and boarding place of the user;
determining a starting point area of a journey according to the boarding place, and acquiring a place attribute of the starting point area;
determining an application scene of a journey according to the place attribute and the boarding time, and acquiring a journey destination and route preference corresponding to the application scene;
and generating a navigation route going to the travel destination according to the travel destination and the route preference, and pushing the navigation route to a user.
2. The method of claim 1, wherein the navigation route is determined by a vehicle trip recommendation model; after obtaining the boarding time and the boarding place of the user, the method further comprises the following steps:
taking the boarding time and the boarding place of the user as the input of a vehicle travel recommendation model;
the vehicle journey recommendation model determines a starting point area of a journey according to the boarding place, and obtains a place attribute of the starting point area; determining an application scene of a journey according to the place attribute and the boarding time, and acquiring a journey destination and route preference corresponding to the application scene; generating a navigation route to the travel destination according to the travel destination and the route preference;
the navigation route is an output of a vehicle trip recommendation model.
3. The method of claim 2, wherein the application scenario comprises a work scenario, a home scenario, or other scenarios;
the vehicle journey recommendation model is trained by the following method:
acquiring a historical travel of a vehicle as a target sample;
selecting user boarding information and user behavior habit information in a historical trip as characteristic information of a target sample;
marking an application scene for the historical travel according to destination information in the historical travel;
training a vehicle travel recommendation model according to the characteristic information of the target sample and the marked application scene to obtain parameters of the vehicle travel recommendation model;
obtaining the comparison between the characteristic information of a single trip and the behavior habit information of a user as the combined characteristic information of a target sample;
and optimizing parameters of the vehicle travel recommendation model according to the combined characteristic information to determine the vehicle travel recommendation model.
4. The method according to claim 1, wherein before the determining a starting point area of the trip according to the boarding location and obtaining a location attribute of the starting point area, further comprising:
collecting historical trips of the vehicle;
acquiring the coordinate position of a starting point in the historical travel of the vehicle;
converting the coordinate position of the starting point into a character string based on a Geohash algorithm to cluster the starting point, and dispersing the starting point into points in a plurality of planning areas;
and carrying out statistical identification on historical travel of points in the same planning region, determining travel rules of the historical travel of the points in the planning region, and determining the attributes of the planning region according to the travel rules.
5. The method of claim 4, wherein prior to determining the application scenario for the trip based on the location attribute and the boarding time, further comprising:
acquiring a coordinate position of a terminal point in a historical travel of the vehicle;
converting the coordinate position of the terminal point into a character string based on a Geohash algorithm to cluster the terminal point, and dispersing the terminal point into points in a plurality of planning areas;
acquiring at least two historical trips to be processed, wherein the planning area where the starting point is located is the same as the planning area where the terminal point is located;
and calculating the travel track difference of the historical travels to be processed, if the travel track difference is smaller than a preset threshold value, determining the at least two historical travels to be processed as travels of the same type, and determining the at least two historical travels to be processed as travels of the same application scene.
6. The method according to claim 1, wherein after the determining an application scenario of the trip according to the location attribute and the boarding time and obtaining a trip destination and a route preference corresponding to the application scenario, the method further comprises:
matching corresponding scene services according to the application scenes;
and pushing the multimedia information corresponding to the scene service to the user.
7. A vehicle trip pushing device, comprising:
getting on the bus information acquisition module: the system comprises a control module, a display module, a control module and a display module, wherein the control module is used for responding to a journey starting signal triggered by a user, and acquiring the boarding time and boarding place of the user;
a location attribute acquisition module: the starting point area is used for determining a travel according to the boarding place, and the place attribute of the starting point area is obtained;
a trip purpose prediction module: the application scene used for determining the journey according to the place attribute and the getting-on time is used for obtaining a journey destination and route preference corresponding to the application scene;
navigation route propelling movement module: the route pushing system is used for generating a navigation route going to the travel destination according to the travel destination and the route preference and pushing the navigation route to a user.
8. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when being executed by a processor, implements the vehicle journey pushing method of any one of claims 1 to 6.
9. A control terminal, comprising:
one or more processors;
a memory;
one or more computer programs;
wherein the one or more computer programs are stored in the memory and configured to be executed by the one or more processors, the one or more computer programs configured to perform the vehicle trip pushing method of any of claims 1-6.
10. An automobile, comprising: an in-vehicle control system for executing the vehicle trip pushing method of any one of claims 1 to 6.
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| CN116539046A (en) * | 2023-07-06 | 2023-08-04 | 深圳市博安智控科技有限公司 | Information release method and device for smart campus, server and storage medium |
| CN116539046B (en) * | 2023-07-06 | 2023-09-08 | 深圳市博安智控科技有限公司 | Information release method and device for smart campus, server and storage medium |
| CN118392206A (en) * | 2024-07-01 | 2024-07-26 | 中国第一汽车股份有限公司 | Travel departure time recommendation method, system, electronic equipment and storage medium |
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