Travel assisting method and device, vehicle and computer readable storage medium

Abstract

The invention provides a travel assisting method and device, a vehicle and a computer readable storage medium, and relates to the technical field of vehicles, and the method comprises the steps: determining the attribute type of a destination of vehicle navigation and the predicted arrival time of the vehicle arriving at the destination, and judging whether the predicted arrival time is within a dining time period or not; if yes, determining a first travel intention of the user to arrive at the destination; determining a dining demand of the user based on the attribute type and the first travel intention, and outputting recommendation information of a catering service place which meets the dining demand and is located at a destination and / or executing a first online reservation service of the catering service place which meets the dining demand; if not, determining a second travel intention of the user to arrive at the destination; and determining a second online reservation service meeting the second travel intention based on the attribute type, and executing the second online reservation service. The content meeting the travel intention of the user can be accurately recommended, and the travel experience of the user can be improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and more specifically, to a travel assistance method, device, vehicle and computer-readable storage medium in the field of vehicle technology. Background Art

[0002] Currently, navigation applications mainly recommend products or places based on the type of navigation destination. The recommendation method is relatively simple, and it is easy for the recommended content to not meet the user's actual travel needs, resulting in a reduced user travel experience. Summary of the invention

[0003] The present application provides a travel assistance method, device, vehicle and computer-readable storage medium. The method can accurately recommend content that meets the user's travel intention based on the attribute type of the travel destination and whether the user's arrival time at the destination is dining time, which is conducive to improving the user's travel experience.

[0004] In a first aspect, a travel assistance method is provided, the travel assistance method comprising: determining an attribute type of a vehicle navigation destination and an estimated arrival time of the vehicle at the destination; determining whether the estimated arrival time is within a dining time period; when the estimated arrival time is within the dining time period, determining a first travel intention of the user to arrive at the destination; determining the dining needs of the user based on the attribute type and the first travel intention, and outputting recommendation information of a catering service place that meets the dining needs and is located at the destination and / or executing a first online reservation service for the catering service place that meets the dining needs; when the estimated arrival time is not within the dining time period, determining a second travel intention of the user to arrive at the destination; determining a second online reservation service that meets the second travel intention based on the attribute type, and executing the second online reservation service.

[0005] In the above technical scheme, the travel assistance method provided in the embodiment of the present application determines the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination, and judges whether the estimated arrival time is within the dining time period. If so, the user's first travel intention to arrive at the destination is determined, and the user's dining needs are determined based on the attribute type and the first travel intention, and recommendation information of catering service places that meet the dining needs and are located at the destination is output and / or a first online reservation service for the catering service places that meet the dining needs is executed. Otherwise, the user's second travel intention to arrive at the destination is determined, and the second online reservation service that meets the second travel intention is determined based on the attribute type, and the technical scheme of executing the second online reservation service can accurately recommend content that meets the user's travel intention based on the attribute type of the travel destination and whether the arrival time of the user at the destination is dining time, which is conducive to improving the user's travel experience. On the one hand, when the estimated arrival time of the user at the destination is within the dining time period, the user's dining demand is predicted to be a long-term dining demand or a short-term dining demand based on the attribute type of the destination and the travel intention. If it is a short-term dining demand, a dining service place with faster food delivery is recommended to the user, so that the user can finish the meal in a short time, thereby reserving more time to handle the affairs or matters corresponding to the first travel intention. If it is a long-term dining demand, the online reservation service of the dining service place that meets the long-term dining demand is recommended to the user, so as to make an appointment for the dining location in advance for the user, so as to avoid the user arriving at the destination and being unable to dine in time. On the other hand, when the estimated arrival time of the user at the destination is not within the dining time period, the online reservation service that meets the travel intention is recommended to the user based on the attribute type of the destination, and the relevant matters of handling the relevant affairs or matters corresponding to the travel intention are reserved in advance, so as to avoid the user arriving at the destination and being unable to handle the relevant affairs or matters corresponding to the travel intention in time.

[0006] In combination with the first aspect, in some possible implementations, determining the user's dining needs based on the attribute type and the first travel intention, and outputting recommendation information of catering service places that meet the dining needs and are located at the destination and / or performing a first online reservation service for the catering service places that meet the dining needs include: if the attribute type is a business district and the first travel intention is an interview, determining that the user's dining needs are short-term dining needs, and outputting recommendation information of fast food restaurants in the catering service places located at the destination; if the attribute type is a business district and the first travel intention is to visit customers, determining that the user's dining needs are long-term dining needs, and performing a first online reservation service for restaurants in the catering service places that meet the long-term dining needs and are located at the destination; wherein the dining duration of the long-term dining needs is greater than the dining duration of the short-term dining needs.

[0007] In combination with the first aspect and the above-mentioned implementation methods, in some possible implementation methods, the second online reservation service determined based on the attribute type to meet the second travel intention includes: if the attribute type is a business district and the second travel intention is to visit customers, the online reservation service of the restaurant and / or beverage shop in the catering service place located at the destination is determined as the second online reservation service.

[0008] In combination with the first aspect and the above-mentioned implementation methods, in some possible implementation methods, determining the user's dining needs based on the attribute type and the first travel intention, and outputting recommendation information of catering service places that meet the dining needs and are located at the destination and / or performing a first online reservation service for the catering service places that meet the dining needs include: if the attribute type is an entertainment and shopping area and the first travel intention is a gathering, determining that the user's dining needs are long-term dining needs, and performing a first online reservation service for a restaurant in a catering service place that meets the long-term dining needs and is located at the destination.

[0009] In combination with the first aspect and the above-mentioned implementation methods, in some possible implementation methods, the second online reservation service that satisfies the second travel intention is determined based on the attribute type, including: if the attribute type is an entertainment shopping area and the second travel intention is to experience entertainment projects, the online reservation service of the entertainment venue located at the destination is determined as the second online reservation service.

[0010] In combination with the first aspect and the above-mentioned implementation methods, in some possible implementation methods, after determining the attribute type of the vehicle navigation destination and the estimated arrival time of the vehicle at the destination, the travel assistance method also includes: determining whether the attribute type is a preset type; and when the attribute type is the preset type, executing the step of determining whether the estimated arrival time is within the dining time period.

[0011] In combination with the first aspect and the above-mentioned implementation methods, in some possible implementation methods, after determining whether the attribute type is a preset type, the travel assistance method also includes: when the attribute type is not the preset type, if the attribute type is a scenic spot and the third travel intention is to visit scenic spots, then executing a first online hotel reservation service for an accommodation place located at the destination and a first online ticket reservation service for a scenic spot located at the destination; or, if the attribute type is an amusement area and the third travel intention is to experience amusement projects, then executing a second online hotel reservation service for an accommodation place located at the destination and a second online ticket reservation service for an amusement place located at the destination; when both the first online hotel reservation service and the first online hotel reservation service or both the second online hotel reservation service and the second online hotel reservation service are executed, executing a third online reservation service for a catering service place located at the destination.

[0012] In combination with the first aspect and the above-mentioned implementation methods, in some possible implementation methods, the travel assistance method also includes: determining whether the destination input by the user is the first input; if so, determining whether the navigation application has switched to navigation mode and the end point of the navigation path is the destination; if so, executing the step of determining the attribute type of the vehicle navigation destination and the estimated arrival time of the vehicle at the destination.

[0013] In a second aspect, a travel assistance device is provided, the travel assistance device comprising:

[0014] A first determination module, used to determine the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination;

[0015] A time judgment module, used to judge whether the estimated arrival time is within the dining time period;

[0016] A second determination module is used to determine the first travel intention of the user to arrive at the destination when the estimated arrival time is within the dining time period;

[0017] a first execution module, configured to determine the dining needs of the user based on the attribute type and the first travel intention, and output recommendation information of a dining service place that meets the dining needs and is located at the destination and / or perform a first online reservation service for the dining service place that meets the dining needs;

[0018] A third determination module is used to determine the second travel intention of the user to arrive at the destination when the estimated arrival time is not within the dining time period;

[0019] The second execution module is used to determine a second online reservation service that meets the second travel intention based on the attribute type, and execute the second online reservation service.

[0020] In conjunction with the second aspect, in some possible implementations, the first execution module includes:

[0021] a first execution unit, configured to determine that the dining demand of the user is a short-term dining demand if the attribute type is a business district and the first travel intention is an interview, and output recommendation information of a simple restaurant in a catering service place located at the destination;

[0022] The second execution unit is used to determine that the user's dining demand is a long-term dining demand if the attribute type is a business district and the first travel intention is to visit a customer, and execute a first online reservation service for a restaurant in a catering service place that meets the long-term dining demand and is located at the destination; wherein the dining duration of the long-term dining demand is greater than the dining duration of the short-term dining demand.

[0023] In combination with the second aspect and the above-mentioned implementation methods, in some possible implementation methods, the second execution module is specifically used to, if the attribute type is a business district and the second travel intention is to visit customers, determine the online reservation service of the restaurant and / or beverage shop in the catering service venue located at the destination as the second online reservation service.

[0024] In combination with the second aspect and the foregoing implementation manner, in some possible implementation manners, the first execution module further includes:

[0025] The third execution unit is used to determine that the user's dining need is a long-term dining need if the attribute type is an entertainment and shopping area and the first travel intention is a dinner party, and to execute a first online reservation service for a restaurant in a catering service place that meets the long-term dining need and is located at the destination.

[0026] In combination with the second aspect and the above-mentioned implementation methods, in some possible implementation methods, the second execution module is specifically used to, if the attribute type is an entertainment shopping area and the second travel intention is to experience entertainment projects, determine the online reservation service of the entertainment venue located at the destination as the second online reservation service.

[0027] In combination with the second aspect and the above implementations, in some possible implementations, the travel assistance device further includes:

[0028] The first judgment unit is used to judge whether the attribute type is a preset type; if the attribute type is the preset type, execute the step of judging whether the estimated arrival time is within the dining time period.

[0029] In combination with the second aspect and the above-mentioned implementation methods, in some possible implementation methods, the first judgment unit is also used for, when the attribute type is not the preset type, if the attribute type is a scenic spot and the third travel intention is to visit scenic spots, then executing a first online hotel reservation service for an accommodation place located at the destination and a first online ticket reservation service for a scenic spot located at the destination; or, if the attribute type is an amusement area and the third travel intention is to experience amusement projects, then executing a second online hotel reservation service for an accommodation place located at the destination and a second online ticket reservation service for an amusement place located at the destination; when both the first online hotel reservation service and the first online hotel reservation service or both the second online hotel reservation service and the second online hotel reservation service are executed, executing a third online reservation service for a catering service place located at the destination.

[0030] In combination with the second aspect and the above implementations, in some possible implementations, the travel assistance device further includes:

[0031] The second judgment unit is used to judge whether the destination input by the user is the first input; if so, judge whether the navigation application switches to the navigation mode and the end point of the navigation path is the destination; if so, execute the step of determining the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination.

[0032] In a third aspect, a vehicle is provided, comprising a memory and a processor. The memory is used to store executable program code, and the processor is used to call and run the executable program code from the memory, so that the vehicle executes the travel assistance method in the first aspect or any possible implementation of the first aspect.

[0033] In a fourth aspect, a computer program product is provided, which includes: a computer program code, which, when executed on a computer, enables the computer to execute the travel assistance method in the above-mentioned first aspect or any possible implementation of the first aspect.

[0034] In a fifth aspect, a computer-readable storage medium is provided, which stores a computer program code. When the computer program code runs on a computer, the computer executes the travel assistance method in the above-mentioned first aspect or any possible implementation of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A schematic flow chart of a travel assistance method provided in an embodiment of the present application is shown;

[0036] Figure 2 An exemplary schematic diagram of the travel assistance method provided by the present application in a business district scenario is shown;

[0037] Figure 3 An exemplary schematic diagram of the travel assistance method provided by the present application in an entertainment shopping area scenario is shown;

[0038] Figure 4 An exemplary schematic diagram of the travel assistance method provided by the present application in a scenic spot scenario is shown;

[0039] Figure 5 A schematic diagram of the structure of a travel assistance device provided in an embodiment of the present application is shown;

[0040] Figure 6 A schematic structural diagram of a vehicle provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0041] The technical solution in the present application will be described clearly and in detail below in conjunction with the accompanying drawings. In the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B: "and / or" in the text is only a description of the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, "multiple" means two or more than two.

[0042] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features.

[0043] On the one hand, current navigation applications mainly recommend products or places based on the type of navigation destination. The recommendation method is relatively simple, and it is easy for the recommended content to not meet the user's actual travel needs, resulting in a reduced user travel experience. On the other hand, when a user navigates to a new destination for the first time, it may be the first time to go to the destination and is not familiar with the destination and nearby parking lots, nearby business districts and other information. At the same time, the time of arrival at the destination is different, and the user's purpose needs may also be different, resulting in the recommended content not meeting the user's actual needs. At the same time, after arriving at the destination, the travel experience is not friendly because the user cannot find the parking lot, cannot find the store information, fails to book relevant tickets in time, and misses the discount information.

[0044] In order to solve the above problems, the embodiments of the present application provide a travel assistance method, device, vehicle and computer-readable storage medium. The method can accurately recommend content that meets the user's travel intentions based on the type of travel destination and whether the user's arrival time at the destination is meal time, which is conducive to improving the user's travel experience.

[0045] The following is an embodiment of a travel assistance method provided in an embodiment of the present application.

[0046] Figure 1 FIG. 1 is a schematic flow chart of a travel assistance method provided in an embodiment of the present application. Figure 1 As shown, the travel assistance method provided in the embodiment of the present application is applied to an electronic device, which may be a vehicle-mounted terminal, a mobile terminal, etc. The above travel assistance method includes the following solutions:

[0047] S110: Determine the attribute type of the destination of vehicle navigation and the estimated arrival time of the vehicle at the destination.

[0048] In an exemplary embodiment, after the user inputs the destination of the vehicle navigation in the navigation application, if it is determined that the navigation application switches to the navigation mode and the end point of the navigation path is the input destination, the attribute type of the destination is obtained based on the attribute type information of each location in the map provided by the navigation application. The attribute type information of each location in the map provided by the navigation application includes scenic spots, entertainment areas, business areas, amusement areas, etc. For example, the attribute type of the destination of the vehicle navigation is determined to be a business area. And, the estimated arrival time of the vehicle at the destination is estimated based on the distance and speed of the vehicle from the starting point to the destination.

[0049] S120: Determine whether the estimated arrival time is within the dining time period, if yes, execute S130; if no, execute S150.

[0050] After obtaining the attribute type and estimated arrival time of the destination, determine whether the estimated arrival time is within the dining time period, that is, determine whether the estimated arrival time of the user at the destination is close to the meal time period or within the meal time period. When the estimated arrival time is within the dining time period, it means that the estimated arrival time of the user at the destination is close to the meal time period or within the meal time period, and execute S130-S140; when the estimated arrival time is not within the dining time period, it means that the estimated arrival time of the user at the destination is not close to the meal time period or is not within the meal time period, and execute S150-S160.

[0051] S130: Determine the user's first travel intention to arrive at the destination.

[0052] When the estimated arrival time of the user at the destination is close to or within the meal time, the user is asked by voice what business or purpose he / she will have at the destination. After the user answers, the user's first travel intention at the destination is determined based on the user's answer. For example, if the voice inquiry is: "Master, what business are you going to have at destination A?" and the user answers: "Interview", the user's first travel intention at the destination is determined to be an interview.

[0053] S140: Determine the dining needs of the user based on the attribute type and the first travel intention, and output recommendation information of a catering service place that meets the dining needs and is located at the destination and / or perform a first online reservation service for the catering service place that meets the dining needs.

[0054] Since the user's estimated arrival time at the destination is within the dining time period, the user may have a need for dining. Therefore, after determining the user's first travel intention to arrive at the destination, the user's dining need is determined based on the attribute type of the destination and the first travel intention. The dining need includes a long-time dining need and a short-time dining need. The dining time of the long-time dining need is greater than the preset time, and the dining time of the short-time dining need is less than the preset time, that is, the dining time of the long-time dining need is greater than the dining time of the short-time dining need.

[0055] If the user's dining need is determined to be a short-term dining need based on the attribute type of the destination and the first travel intention, indicating that the user's dining time should not be too long, then the recommended information of the catering service places that meet the short-term dining needs and are located at the destination is output, and the recommended information includes the recommended catering service places that can quickly serve food, so that the user can finish the meal in a short time, thereby reserving more time to handle the affairs or matters corresponding to the first travel intention. If the user's dining need is determined to be a long-term dining need based on the attribute type of the destination and the first travel intention, indicating that the user's dining time can be unlimited, then the first online reservation service of the catering service places that are located at the destination and meet the long-term dining needs is recommended to the user. After the user accepts the recommendation, the first online reservation service is executed, so as to make an appointment for the dining location in advance for the user, so as to avoid the user being unable to dine in time after arriving at the destination.

[0056] S150: Determine a second travel intention of the user to arrive at the destination.

[0057] When the estimated arrival time of the user at the destination is not close to the meal time or is not within the meal time, the user is asked by voice what business or what he / she will do at the destination. After the user answers, the second travel intention of the user at the destination is determined based on the user's answer. For example, the voice inquiry is: "Master, what business are you going to do at destination A?", and the user's answer is: "Singing", then the second travel intention of the user at the destination is determined to be singing. The second travel intention may be the same as the first travel intention, or it may be different.

[0058] S160: Determine a second online reservation service that meets the second travel intention based on the attribute type, and execute the second online reservation service.

[0059] After determining the user's second travel intention when arriving at the destination, a second online reservation service that meets the second travel intention is recommended to the user according to the attribute type of the destination. If the user accepts the recommendation, the second online reservation service is executed, so as to make an appointment in advance for the relevant matters of handling the related affairs or matters corresponding to the second travel intention, so as to avoid the user being unable to handle the relevant affairs or matters corresponding to the second travel intention in time after arriving at the destination.

[0060] The travel assistance method provided in the embodiment of the present application determines the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination, and determines whether the estimated arrival time is within the dining time period. If so, the user's first travel intention to arrive at the destination is determined, and the user's dining needs are determined based on the attribute type and the first travel intention, and recommendation information for catering service places that meet the dining needs and are located at the destination is output and / or a first online reservation service for the catering service places that meet the dining needs is executed. Otherwise, the user's second travel intention to arrive at the destination is determined, and a second online reservation service that meets the second travel intention is determined based on the attribute type, and the technical solution of executing the second online reservation service can accurately recommend content that meets the user's travel intention based on the attribute type of the travel destination and whether the arrival time of the user at the destination is dining time, which is conducive to improving the user's travel experience. On the one hand, when the estimated arrival time of the user at the destination is within the dining time period, the user's dining demand is predicted to be a long-term dining demand or a short-term dining demand based on the attribute type of the destination and the travel intention. If it is a short-term dining demand, a dining service place with faster food delivery is recommended to the user, so that the user can finish the meal in a short time, thereby reserving more time to handle the affairs or matters corresponding to the first travel intention. If it is a long-term dining demand, the online reservation service of the dining service place that meets the long-term dining demand is recommended to the user, so as to make an appointment for the dining location in advance for the user, so as to avoid the user arriving at the destination and being unable to dine in time. On the other hand, when the estimated arrival time of the user at the destination is not within the dining time period, the online reservation service that meets the travel intention is recommended to the user based on the attribute type of the destination, and the relevant matters of handling the relevant affairs or matters corresponding to the travel intention are reserved in advance, so as to avoid the user arriving at the destination and being unable to handle the relevant affairs or matters corresponding to the travel intention in time.

[0061] The following Figure 1 The specific implementation methods of each step in the illustrated embodiment are described as follows:

[0062] In a possible implementation, the determining of the dining needs of the user based on the attribute type and the first travel intention, and outputting recommendation information of a dining service place that meets the dining needs and is located at the destination and / or performing a first online reservation service for the dining service place that meets the dining needs includes the following solutions:

[0063] If the attribute type is business district and the first travel intention is interview, determining that the user's dining need is a short-term dining need, and outputting recommendation information of fast food restaurants in the catering service places located at the destination;

[0064] If the attribute type is a business district and the first travel intention is to visit customers, it is determined that the user's dining need is a long-term dining need, and a first online reservation service is performed for a restaurant in a catering service venue that meets the long-term dining need and is located at the destination; wherein the dining duration of the long-term dining need is greater than the dining duration of the short-term dining need.

[0065] When the estimated arrival time of the user at the destination is within the dining time period, if the attribute type of the destination is business district and the first travel intention is an interview, it means that the user may need to reserve enough time to prepare for the interview in advance, and the dining time should not be too long, then the user's dining need is determined to be a short-term dining need, and the recommended information of fast food restaurants is output to the user from the catering service places located at the destination. The recommended information of the fast food restaurants includes which specific fast food restaurants can serve meals quickly, such as convenience stores, pastry shops, fast food restaurants, etc., so that the user can find a fast food restaurant to dine in a short time after arriving at the destination.

[0066] When the estimated arrival time of the user at the destination is within the dining time period, if the attribute type of the destination is business district and the first travel intention is to visit clients, it means that the user may need to make an appointment with the client for dinner, and the purpose is not only to eat, but also to talk about work matters. The dining time is long, so it is determined that the user's dining need is a long-term dining need, and the first-line reservation service of a restaurant in a catering service place that meets the long-term dining need and is located at the destination is recommended to the user. After the user accepts the recommendation, the first-line reservation service is executed to reserve a dining location in advance, so that the user can sit down and talk with the client in time after arriving at the destination.

[0067] In a possible implementation, determining the second online reservation service that satisfies the second travel intention based on the attribute type includes the following solutions:

[0068] If the attribute type is a business district and the second travel intention is to visit a customer, an online reservation service of a restaurant and / or a beverage shop in a catering service place at the destination is determined as the second online reservation service.

[0069] When the user's estimated arrival time at the destination is not within the dining time period, if the attribute type of the destination is business district and the second travel intention is to visit clients, it means that the user may need to meet with clients to discuss work and may need to make an appointment for the conversation. In this case, higher-end catering establishments, such as restaurants and / or beverage shops (coffee shops, etc.), are identified from the catering service establishments located at the destination, and the online reservation service of the restaurant and / or beverage shop is identified as the second online reservation service and recommended to the user to facilitate the user to reserve a seat in advance.

[0070] Figure 2 An exemplary schematic diagram of the travel assistance method provided by the present application in a business district scenario is shown. Figure 2 As shown, the travel assistance method includes:

[0071] S210: Determine whether the attribute type of the destination is a business district; if yes, execute S211;

[0072] S211: Determine whether the estimated arrival time is within the dining time period; if yes, execute S2111; if no, execute S2121;

[0073] S2111: voice inquiry of the user's first travel intention to arrive at the destination. If the first travel intention is a job interview, execute S2112; if the first travel intention is to visit a client for a test, execute S2113;

[0074] S2112: Outputting recommendation information of catering service places that meet the short-term dining needs and are located at the destination;

[0075] S2113: Execute the first-line reservation service of multiple restaurants that meet the long-term dining needs and are located at the destination to make restaurant recommendations, and after the target restaurant is selected, voice ask the user for the number of people dining.

[0076] S2114: Execute the first-line reservation service of the target restaurant according to the number of diners answered by the user to make a dining seat reservation, and after the reservation is completed, inform the user of the specific location of the target restaurant for reservation;

[0077] S2121: voice inquiry of the user's second travel intention to reach the destination. If the second travel intention is a job interview, execute S2122; if the second travel intention is to visit a client, execute S2123;

[0078] S2122: Output the blessing of "successful interview";

[0079] S2123: Executing a second online reservation service for a plurality of restaurants located at the destination to make a restaurant recommendation, and after the selected target restaurant, voice-inquiring the number of users;

[0080] S2124: Based on the number of users who answered, execute the second online reservation service of the target restaurant to make a seat reservation. After the reservation is completed, inform the user of the specific location of the target restaurant.

[0081] In a possible implementation, the determining of the dining needs of the user based on the attribute type and the first travel intention, and outputting recommendation information of a dining service place that meets the dining needs and is located at the destination and / or performing a first online reservation service for the dining service place that meets the dining needs includes the following solutions:

[0082] If the attribute type is an entertainment and shopping area and the first travel intention is a dinner party, it is determined that the user's dining need is a long-term dining need, and a first online reservation service is performed for a restaurant in a catering service venue that meets the long-term dining need and is located at the destination.

[0083] When the estimated arrival time of the user at the destination is within the dining time period, if the attribute type of the destination is an entertainment and shopping area and the first travel intention is a dining party, it means that the user's dining time is relatively long, and the user's dining need is determined to be a long-term dining need. Then, the first-line reservation service of a restaurant in a catering service venue that meets the long-term dining need and is located at the destination is recommended to the user. After the user accepts the first-line reservation service of the recommended restaurant, the first-line reservation service is executed to reserve a dining location in advance, so that the user can dine at any time after arriving at the destination.

[0084] In a possible implementation, determining the second online reservation service that satisfies the second travel intention based on the attribute type includes the following solutions:

[0085] If the attribute type is entertainment and shopping area and the second travel intention is to experience entertainment projects, the online reservation service of the entertainment venue located at the destination is determined as the second online reservation service.

[0086] When the estimated arrival time of the user at the destination is not within the dining time period, if the attribute type of the destination is an entertainment and shopping area and the second travel intention is to experience entertainment projects, it means that the user's purpose is to go to the destination to play. In order to ensure that the user can experience entertainment projects at any time after arriving at the destination, the online reservation service of the entertainment venues located at the destination is determined as the second online reservation service and recommended to the user, so that the user can make reservations for entertainment projects in advance and ensure that the user can experience entertainment projects without waiting after arriving at the destination, which is conducive to improving the user's entertainment experience.

[0087] Figure 3 An exemplary schematic diagram of the travel assistance method provided by the present application in the entertainment shopping area scenario is shown. Figure 3 As shown, the travel assistance method includes:

[0088] S310: Determine whether the attribute type of the destination is an entertainment and shopping area; if yes, execute S311;

[0089] S311: Determine whether the estimated arrival time is within the dining time period; if yes, execute S3111; if no, execute S3121;

[0090] S3111: voice inquiry of the user's first travel intention to reach the destination. If the first travel intention is to have a meal together, execute S3112;

[0091] S3112: Execute the first-line reservation service for restaurants in catering service places that meet long-term dining needs and are located at the destination to make restaurant recommendations, including: voice asking the user whether he needs to order food, if the user answers no, output "It's time for dinner, the host can wake me up at any time if you need to order food"; if the user answers yes, ask the user whether he has ordered food, if the user answers yes, output a message of praise, if the user answers no, ask if he needs to order food, if the user answers yes, ask how many people need to be reserved, after the user answers the number of people, recommend a list of restaurants based on the number of people, if there are restaurants with coupons, prompt which restaurants have coupons, if the user selects a target restaurant with coupons, reserve a table at the target restaurant based on the number of people and collect the coupons, after the reservation is successful, inform the user that the coupon has been collected and the specific location of the target restaurant;

[0092] S3121: voice inquiry of the user's second travel intention to reach the destination. If the second travel intention is to experience entertainment projects, execute S3122;

[0093] S3122: Execute the second online reservation service for entertainment venues located at the destination to make entertainment venue recommendations, including: voice inquiry whether entertainment project recommendations are needed. If the user answers that no entertainment project recommendations are needed, output "If you need to make an appointment for an entertainment project, please wake me up. I can help the host book tickets and receive coupons"; if the user answers that entertainment project recommendations are needed, entertainment project recommendations are made, prompts are given which entertainment projects have discounts, and inquiries are made about how many people need to order tickets. After the user answers the selected target entertainment project, the discount is received, and the number of people, tickets for the target entertainment project are ordered and coupons are received according to the number of people, and the user is informed that the order is completed and the specific location of the ordered target entertainment project.

[0094] For the scenario where the attribute type of the destination is an entertainment and shopping area, if the estimated arrival time of the user at the destination is not within the dining time period, if the attribute type of the destination is a business district and the first travel intention is shopping, the second online reservation service of the merchant at the destination is performed, including: voice asking the user: Master, what are you going to buy at the destination? If the user answers that it is to buy clothes, the voice recommends which clothing stores are holding activities, discounts for buying clothes, and have coupons. Do you need to collect them? If the user answers that it is necessary to collect them, the user is helped to collect the coupons.

[0095] In a possible implementation, after determining the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination, the travel assistance method further includes:

[0096] Determine whether the attribute type is a preset type;

[0097] In the case where the attribute type is the preset type, a step of determining whether the estimated arrival time is within the dining time period is performed.

[0098] Taking into account that some of the destinations to be reached by users require advance accommodation reservations while others do not, the attribute types of the destinations are classified based on whether advance accommodation reservations are required when arriving at the destination. The attribute types of destinations that require advance accommodation reservations are classified into a first category, and the attribute types of destinations that do not require advance accommodation reservations are classified into a second category. For example, the first category includes scenic spots, amusement areas, etc., and the second category includes business areas, entertainment areas, etc. This application refers to the attribute types included in the first category as preset types.

[0099] For attribute types that belong to the preset types, users generally do not need to make accommodation reservations after arriving at the destination. For attribute types that do not belong to the preset types, users generally need to make accommodation reservations in advance after arriving at the destination. After arriving at the destination, users generally choose to check in and then have meals. The time of arrival at the destination is not closely related to the actual dining time, so whether the estimated arrival time is within the dining time period can be ignored. Of course, whether the estimated arrival time is within the dining time period can also be considered.

[0100] Therefore, after determining the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination, it is determined whether the attribute type of the destination is a preset type. If so, it means that the user does not need to extract the reserved accommodation before arriving at the destination. It is necessary to consider whether the time of arrival at the destination is during the dining time, and the step of determining whether the estimated arrival time is within the dining time period is executed.

[0101] In a possible implementation, after determining whether the attribute type is a preset type, the travel assistance method further includes the following solutions:

[0102] In the case where the attribute type is not the preset type, if the attribute type is a scenic spot and the third travel intention is to visit scenic spots, a first online hotel reservation service for accommodation located at the destination and a first online ticket reservation service for scenic spots located at the destination are performed; or,

[0103] If the attribute type is amusement area and the third travel intention is to experience amusement projects, a second online room reservation service for an accommodation located at the destination and a second online ticket reservation service for an amusement park located at the destination are performed;

[0104] When both the first online room reservation service and the first online room reservation service or both the second online room reservation service and the second online room reservation service are completed, a third online reservation service for a catering service place located at the destination is executed.

[0105] When the attribute type of the destination is not the preset type, it means that the user may need to check in before arriving at the destination. For example, if the attribute type of the destination is a scenic spot, the voice will inquire about the user's third travel intention. If the third travel intention is to visit scenic spots, the first-line hotel reservation service for accommodation places at the destination and the first-line ticket reservation service for scenic spots at the destination will be executed. For example, the first-line hotel reservation service is executed to help users book hotels in advance. After the reservation is completed, the first-line ticket reservation service is executed to help users book scenic spot tickets in advance. After the first-line hotel reservation service and the first-line hotel reservation service are completed, the third-line reservation service for catering service places at the destination is executed to help users make reservations for dining in advance, so that users can check in in time after arriving at the destination, or go to the scenic spot without queuing for tickets after dining.

[0106] When the attribute type of the destination is not a preset type, for example, the attribute type of the destination is an amusement area, the user's third travel intention is asked by voice. If the third travel intention is to experience amusement projects, the second-line room reservation service for the accommodation place located at the destination and the second-line ticket reservation service for the amusement place located at the destination are executed. For example, the second-line room reservation service is executed to help the user book a room in advance. After the room reservation is completed, the second-line ticket reservation service is executed to help the user purchase tickets for the amusement place and amusement project tickets in advance. After the second-line room reservation service and the second-line room reservation service are both executed, the third-line reservation service for the catering service place located at the destination is executed to help the user reserve a dining location in advance, so that the user can check in in time after arriving at the destination, or go to the amusement place after dining without queuing for tickets.

[0107] Figure 4 An exemplary schematic diagram of the travel assistance method provided by the present application in a scenic spot scenario is shown. Figure 4 As shown, the travel assistance method includes:

[0108] S410: Determine whether the attribute type of the destination is a preset type; if not, execute S411;

[0109] S411: voice inquiring the user about the third travel intention to reach the destination. If the third travel intention is to visit scenic spots, executing S412;

[0110] S412: Execute the first-line hotel reservation service of the accommodation place located at the destination to recommend the accommodation place, including voice asking the user: "Do you need to stay near the destination?" If the user answers yes, then voice asking the user: "What is your expected accommodation price range, how many rooms do you need to book, and whether the room type is a king-size bed room or a twin bed room?" After the user answers, book a room for the user from the accommodation place near the destination according to the user's answer, and inform the name, room number and address of the reserved accommodation place, and execute S413;

[0111] S413: voice asks the user whether to order scenic spot tickets, if yes, execute S414, if no, execute 416;

[0112] S414: Determine whether the estimated arrival time is within the dining time period; if yes, execute S415; if no, execute S415;

[0113] S415: Executing a third-party online reservation service for a catering service place at the destination to recommend a catering service place, including: asking the user whether to order food by voice, if the user answers yes, asking how many people need to be reserved, after the user answers the number of people, recommending a list of restaurants according to the number of people, if there are restaurants with coupons, prompting which restaurants have coupons, if the user selects a target restaurant with coupons, reserving a table at the target restaurant according to the number of people and collecting the coupons, after the reservation is successful, informing the user that the coupon has been collected and the specific location of the target restaurant;

[0114] S416: Execute the first-line ticket booking and reservation service for the scenic spots at the destination to make scenic spot recommendations, including: recommending optional scenic spots to the user, and asking the user by voice: "Which scenic spot do you need to choose, how many tickets do you need to order, if the scenic spot has coupons, do you want to collect them, etc." After the user answers, order tickets for the scenic spot selected by the user based on the user's answer. If the scenic spot selected by the user has coupons, inform the user that the booking is complete and the coupons have been collected, as well as the address of the scenic spot, and execute S415.

[0115] The embodiments of the travel assistance method provided by this application in the amusement area scenario are similar to the embodiments of the travel assistance method provided by this application in the scenic area scenario, and will not be repeated in this application.

[0116] In a possible implementation, the travel assistance method further includes the following solutions:

[0117] Determining whether the destination input by the user is input for the first time;

[0118] If so, determining whether the navigation application is switched to navigation mode and the end point of the navigation path is the destination;

[0119] If so, the step of determining the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination is performed.

[0120] Considering that if the user has been to the input destination before, the user may be familiar with the conditions of the places and facilities around the destination. If the places and facilities near the destination are recommended to the user based on whether the estimated arrival time at the destination is within the dining time period and the attribute type of the destination, the recommended content may make the user dissatisfied or even disgusted. Therefore, if the input destination is a place the user has been to before, no content recommendation will be made, that is, the travel assistance method will not be executed. If the input destination is a place the user has not been to in person before and the user is not familiar with the conditions of the places and facilities around the destination, content recommendation can be made to the user, that is, the travel assistance method will be executed, thereby improving the travel experience.

[0121] Determining if the input destination is a place the user has not visited before includes: determining whether the destination input by the user is the first time input; if it is the first time input, further determining whether the navigation application has switched to navigation mode and the end point of the navigation path is the input destination; if it is determined that the navigation application has switched to navigation mode and the end point of the navigation path is the input destination, it means that the user has navigated to the input destination, and then executing the step of determining the attribute type of the vehicle navigation destination and the estimated arrival time of the vehicle at the destination. This can avoid the situation where the user triggers content recommendations by merely searching for the destination, which is beneficial to improving the user experience.

[0122] This application will determine whether the input destination is the first input, the attribute type of the destination and the estimated arrival time of the destination are combined within the dining time period, and accurately recommend content that meets the user's travel intention according to the user's travel intention. For example, if the user encounters a meal time when arriving at the destination for an interview, a simple restaurant will be recommended, which is convenient for the user to have a meal in time after arriving at the destination and reserve enough preparation time for the interview. When the user arrives at the destination to visit a customer and encounters a meal time, a restaurant will be recommended, and the user will be helped to book a table in advance, so that the user can sit and dine with the customer at any time after arriving at the destination, which is conducive to improving the customer's good impression of the user. When the user arrives at the destination for a meal, a restaurant will be recommended, and the user will be helped to book a table in advance, so that the user can dine at any time after arriving at the destination without waiting in line. When the user arrives at the destination to experience entertainment projects, if there is no meal time, entertainment venues will be recommended, and the user will be helped to book entertainment projects in advance, so that the user can have entertainment immediately after arriving at the destination without waiting in line. When users arrive at their destination to visit scenic spots, the service will recommend accommodation places, help users book hotels, recommend scenic spots, help users book tickets, recommend restaurants, and help users reserve tables. This will allow users to check in at any time after arriving at their destination, enter scenic spots, or dine at any time without waiting, which will help improve users' travel experience.

[0123] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.

[0124] Figure 5 FIG. 1 shows a schematic diagram of the structure of a travel assistance device provided in an embodiment of the present application. Figure 5 As shown, the travel assistance device 500 includes:

[0125] A first determination module 510 is used to determine the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination;

[0126] A time determination module 520 is used to determine whether the estimated arrival time is within the dining time period;

[0127] A second determination module 530 is used to determine the first travel intention of the user to arrive at the destination when the estimated arrival time is within the dining time period;

[0128] A first execution module 540 is used to determine the dining needs of the user based on the attribute type and the first travel intention, and output recommendation information of a dining service place that meets the dining needs and is located at the destination and / or perform a first online reservation service for the dining service place that meets the dining needs;

[0129] A third determination module 550 is used to determine the second travel intention of the user to arrive at the destination when the estimated arrival time is not within the dining time period;

[0130] The second execution module 560 is configured to determine a second online reservation service that satisfies the second travel intention based on the attribute type, and execute the second online reservation service.

[0131] In a possible implementation, the first execution module 540 includes:

[0132] a first execution unit, configured to determine that the dining demand of the user is a short-term dining demand if the attribute type is a business district and the first travel intention is an interview, and output recommendation information of a simple restaurant in a catering service place located at the destination;

[0133] The second execution unit is used to determine that the user's dining demand is a long-term dining demand if the attribute type is a business district and the first travel intention is to visit a customer, and execute a first online reservation service for a restaurant in a catering service place that meets the long-term dining demand and is located at the destination; wherein the dining duration of the long-term dining demand is greater than the dining duration of the short-term dining demand.

[0134] In one possible implementation, the second execution module 560 is specifically used to, if the attribute type is a business district and the second travel intention is to visit a customer, determine the online reservation service of a restaurant and / or beverage shop in a catering service venue located at the destination as the second online reservation service.

[0135] In a possible implementation, the first execution module 540 further includes:

[0136] The third execution unit is used to determine that the user's dining need is a long-term dining need if the attribute type is an entertainment and shopping area and the first travel intention is a dinner party, and to execute a first online reservation service for a restaurant in a catering service place that meets the long-term dining need and is located at the destination.

[0137] In a possible implementation, the second execution module 560 is specifically used to, if the attribute type is an entertainment shopping area and the second travel intention is to experience entertainment projects, determine the online reservation service of the entertainment venue located at the destination as the second online reservation service.

[0138] In a possible implementation, the travel assistance device 500 further includes:

[0139] The first judgment unit is used to judge whether the attribute type is a preset type; if the attribute type is the preset type, execute the step of judging whether the estimated arrival time is within the dining time period.

[0140] In a possible implementation, the first judgment unit is further used for, when the attribute type is not the preset type, if the attribute type is a scenic spot and the third travel intention is to visit scenic spots, executing a first online hotel reservation service for an accommodation place located at the destination and a first online ticket reservation service for a scenic spot located at the destination; or, if the attribute type is an amusement area and the third travel intention is to experience amusement projects, executing a second online hotel reservation service for an accommodation place located at the destination and a second online ticket reservation service for an amusement place located at the destination; and executing a third online reservation service for a catering service place located at the destination when both the first online hotel reservation service and the first online hotel reservation service or both the second online hotel reservation service and the second online hotel reservation service are executed.

[0141] In a possible implementation, the travel assistance device 500 further includes:

[0142] The second judgment unit is used to judge whether the destination input by the user is the first input; if so, judge whether the navigation application switches to the navigation mode and the end point of the navigation path is the destination; if so, execute the step of determining the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination.

[0143] It should be noted that the travel assistance device provided in the above embodiment only uses the division of the above functional modules as an example when executing the travel assistance method. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the travel assistance device provided in the above embodiment and the travel assistance method embodiment belong to the same concept. Therefore, for details not disclosed in the device embodiment of the present application, please refer to the above travel assistance method embodiment of the present application, which will not be repeated here.

[0144] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0145] Figure 6 A schematic structural diagram of a vehicle provided in an embodiment of the present application is shown.

[0146] For example, Figure 6As shown, the vehicle 600 includes: a memory 601 and a processor 602, wherein the memory 601 stores an executable program code 6011, and the processor 602 is used to call and execute the executable program code 6011 to perform a travel assistance method.

[0147] In this embodiment, the functional modules of the vehicle can be divided according to the above method example. For example, each functional module can be corresponded, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0148] In the case of dividing each functional module according to each function, the vehicle may include: a first determination module, a time judgment module, a second determination module, a first execution module, a third determination module, a second execution module, etc. It should be noted that all relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module, which will not be repeated here.

[0149] The vehicle provided in this embodiment is used to execute the above-mentioned travel assistance method, and thus can achieve the same effect as the above-mentioned implementation method.

[0150] In the case of an integrated unit, the vehicle may include a processing module and a storage module. The processing module may be used to control and manage the actions of the vehicle. The storage module may be used to support the vehicle to execute mutual program codes and data.

[0151] The processing module may be a processor or a controller, which may implement or execute various exemplary logic blocks, modules and circuits disclosed in the present application. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc. The storage module may be a memory.

[0152] This embodiment also provides a computer-readable storage medium, in which a computer program code is stored. When the computer program code is executed on a computer, the computer executes the above-mentioned related method steps to implement a travel assistance method in the above-mentioned embodiment.

[0153] This embodiment also provides a computer program product. When the computer program product is run on a computer, it enables the computer to execute the above-mentioned related steps to implement a travel assistance method in the above-mentioned embodiment.

[0154] In addition, the vehicle provided in the embodiments of the present application may specifically be a chip, component or module, and the vehicle may include a connected processor and memory; wherein the memory is used to store instructions, and when the vehicle is running, the processor may call and execute instructions so that the chip executes a travel assistance method in the above-mentioned embodiments.

[0155] Among them, the vehicle, computer-readable storage medium, computer program product or chip provided in this embodiment are all used to execute the corresponding travel assistance method provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding travel assistance method provided above, and will not be repeated here.

[0156] Through the description of the above implementation methods, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0157] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0158] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A travel assistance method, It is characterized in that The travel assistance method comprises: determining an attribute type of a destination for vehicle navigation and an estimated arrival time of the vehicle at the destination; Determining whether the estimated arrival time is within the dining time period; When the estimated arrival time is within the dining time period, determining the first travel intention of the user to arrive at the destination; Determining the dining needs of the user based on the attribute type and the first travel intention, and outputting recommendation information of a dining service place that meets the dining needs and is located at the destination and / or performing a first online reservation service for the dining service place that meets the dining needs; When the estimated arrival time is not within the dining time period, determining a second travel intention of the user to arrive at the destination; A second online reservation service that meets the second travel intention is determined based on the attribute type, and the second online reservation service is executed.

2. The travel assistance method according to claim 1, It is characterized in that The determining of the dining needs of the user based on the attribute type and the first travel intention, and outputting recommendation information of a dining service place that meets the dining needs and is located at the destination and / or performing a first online reservation service for the dining service place that meets the dining needs includes: If the attribute type is business district and the first travel intention is interview, determining that the user's dining need is a short-term dining need, and outputting recommendation information of fast food restaurants in the catering service places located at the destination; If the attribute type is a business district and the first travel intention is to visit customers, it is determined that the user's dining need is a long-term dining need, and a first online reservation service is performed for a restaurant in a catering service venue that meets the long-term dining need and is located at the destination; wherein the dining duration of the long-term dining need is greater than the dining duration of the short-term dining need.

3. The travel assistance method according to claim 2, It is characterized in that The determining, based on the attribute type, of a second online reservation service that satisfies the second travel intention comprises: If the attribute type is a business district and the second travel intention is to visit a customer, an online reservation service of a restaurant and / or a beverage shop in a catering service place at the destination is determined as the second online reservation service.

4. The travel assistance method according to claim 1, It is characterized in that The determining of the dining needs of the user based on the attribute type and the first travel intention, and outputting recommendation information of a dining service place that meets the dining needs and is located at the destination and / or performing a first online reservation service for the dining service place that meets the dining needs includes: If the attribute type is an entertainment and shopping area and the first travel intention is a dinner party, it is determined that the user's dining need is a long-term dining need, and a first online reservation service is performed for a restaurant in a catering service venue that meets the long-term dining need and is located at the destination.

5. The travel assistance method according to claim 4, It is characterized in that The determining, based on the attribute type, of a second online reservation service that satisfies the second travel intention comprises: If the attribute type is entertainment and shopping area and the second travel intention is to experience entertainment projects, the online reservation service of the entertainment venue located at the destination is determined as the second online reservation service.

6. The travel assistance method according to claim 1, It is characterized in that After determining the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination, the travel assistance method further includes: Determine whether the attribute type is a preset type; In the case where the attribute type is the preset type, a step of determining whether the estimated arrival time is within the dining time period is performed.

7. The travel assistance method according to claim 6, It is characterized in that After determining whether the attribute type is a preset type, the travel assistance method further includes: In the case where the attribute type is not the preset type, if the attribute type is a scenic spot and the third travel intention is to visit scenic spots, a first online hotel reservation service for accommodation located at the destination and a first online ticket reservation service for scenic spots located at the destination are performed; or, If the attribute type is amusement area and the third travel intention is to experience amusement projects, a second online room reservation service for an accommodation located at the destination and a second online ticket reservation service for an amusement park located at the destination are performed; When both the first online room reservation service and the first online room reservation service or both the second online room reservation service and the second online room reservation service are completed, a third online reservation service for a catering service place located at the destination is executed.

8. The travel assistance method according to any one of claims 1 to 7, It is characterized in that The travel assistance method further includes: Determining whether the destination input by the user is input for the first time; If so, determining whether the navigation application is switched to navigation mode and the end point of the navigation path is the destination; If so, the step of determining the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination is performed.

9. A travel assistance device, It is characterized in that The travel assistance device comprises: A first determination module, used to determine the attribute type of the destination of the vehicle navigation and the estimated arrival time of the vehicle at the destination; A time judgment module, used to judge whether the estimated arrival time is within the dining time period; A second determination module is used to determine the first travel intention of the user to arrive at the destination when the estimated arrival time is within the dining time period; a first execution module, configured to determine the dining needs of the user based on the attribute type and the first travel intention, and output recommendation information of a dining service place that meets the dining needs and is located at the destination and / or perform a first online reservation service for the dining service place that meets the dining needs; A third determination module is used to determine the second travel intention of the user to arrive at the destination when the estimated arrival time is not within the dining time period; The second execution module is used to determine a second online reservation service that meets the second travel intention based on the attribute type, and execute the second online reservation service.

10. A vehicle, It is characterized in that The vehicle comprises: A memory for storing executable program codes; A processor, configured to call and run the executable program code from the memory so that the vehicle executes the travel assistance method as described in any one of claims 1 to 8.

11. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed, the travel assistance method according to any one of claims 1 to 8 is implemented.

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