CN114485713A - Traffic service intelligent pushing method and system based on big data - Google Patents

Traffic service intelligent pushing method and system based on big data Download PDF

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Publication number
CN114485713A
CN114485713A CN202210129259.0A CN202210129259A CN114485713A CN 114485713 A CN114485713 A CN 114485713A CN 202210129259 A CN202210129259 A CN 202210129259A CN 114485713 A CN114485713 A CN 114485713A
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user
service area
information
service
expressway
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龚加淦
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3476Special cost functions, i.e. other than distance or default speed limit of road segments using point of interest [POI] information, e.g. a route passing visible POIs

Abstract

The application relates to a traffic service intelligent pushing method and system based on big data, wherein the method comprises the following steps: establishing a service pushing platform, and importing highway service area information for classification and arrangement to form a highway service area information database; acquiring user service area appeal information, user navigation route information and position information in real time; obtaining the remaining non-passing expressway service area of the user according to the user navigation route information and the position information to generate a service area matching directory; matching a highway service area which best meets the requirement key words of the user in the highway service areas in the service area matching directory according to a preset matching rule; and feeding back the expressway service area to the user, forming a traveling passing point after the user confirms and generating new navigation route information. According to the method and the device, the high-speed service area which meets the requirements of the user can be pushed for the user according to the requirements of the user, the high-speed travel experience of the user is improved, and the effect that the requirements are solved for the user in an efficient and intelligent mode is achieved.

Description

Traffic service intelligent pushing method and system based on big data
Technical Field
The application relates to the field of public transportation services, in particular to a traffic service intelligent pushing method and system based on big data.
Background
In the face of the global and information development trend in the world, the traditional traffic technology and means are not suitable for the requirements of economic and social development, the intelligent traffic system is a necessary choice for the development of traffic industry and a revolution of the traffic industry, and the interaction relationship among people, vehicles and roads is presented in a new way through the effective integration and application of advanced information technology, communication technology, control technology, sensing technology, calculator technology and system comprehensive technology, so that the aims of real-time, accuracy, high efficiency, safety and energy conservation are fulfilled. An intelligent transportation system (ITS for short) is a development direction of future transportation systems, and is a comprehensive transportation management system which is established by effectively integrating and applying advanced information technology, data communication transmission technology, electronic sensing technology, control technology, computer technology and the like to the whole ground transportation management system and plays a role in a large range in all directions, and is real-time, accurate and efficient.
With the development of science and technology of society, the basic traffic facilities of China are continuously improved, the number of expressways is continuously increased, people go out more and more conveniently, and vehicles can be driven to quickly reach destinations through the expressways only by navigation software of vehicle-mounted navigation or mobile phones. As expressways cover the country in a mesh, expressway service areas have also come into play. The expressway service area is used as a matched service facility generated by the development of the expressway industry, and has important significance for the rapid development of the expressway and the increase of mileage planning. Therefore, various functions of the service areas are analyzed by combing relevant domestic and foreign documents and combining the current situation and development trend of the planning construction of the expressway in China, and the expressway service areas are divided into three types according to the planning size and the degree of complete functions, namely a first type service area, a second type service area and a third type service area, wherein each service area has respective characteristics. The facilities in one service area are perfect and optimal in function, are provided with service facilities such as gas stations, parking lots, convenience stores, free rest rooms, restaurants, steam shops and the like, and are generally provided with facilities such as lodging, bathing and the like with better facility conditions. In addition, according to the needs and the geographical position of the service area, service facilities such as business meeting rooms, logistics storage rooms, freezing rooms, tourist and leisure sightseeing areas and the like can be planned and constructed in the service area. The second type of service area is slightly insufficient in related supporting facilities compared with the first type of service area, but has relatively perfect service functions compared with the third type of service area. The system is provided with service facilities such as convenience stores, automobile repair factories, restaurants, gas stations, parking lots, public toilets and the like. However, facilities such as accommodation, bathing and the like can be built in the second-class service area according to needs, the scale can be moderate, and better service is provided for travelers. Compared with the first-class service area and the second-class service area, the third-class service area generally only has the most basic service functions, and the main facilities are convenience stores, parking lots, gas stations, public toilets, restaurants and the like only for meeting the most basic and urgent requirements of drivers and passengers. In general, accommodations and other related services are not constructed. However, in the current intelligent transportation system and navigation software on the market, when a user goes out, route navigation is provided for the user as much as possible through various algorithms, but a high-speed service area on the navigation route is not effectively associated, so that comprehensive and intimate service cannot be provided for the driving process of the user, and the influence on the user who drives in a short distance may not exist, but the driving time of some users who need to drive in a long distance is long, and the users who need to drive in a long distance are difficult to avoid and need to go to the service area for rest supply due to various reasons in the driving process, so that how to push the expressway service area meeting the user requirements according to the user requirements is a problem to be solved.
For the related technologies, the inventor thinks that the existing intelligent transportation system or navigation software lacks effective integration for the highway service area of the driving route, and cannot push the highway service area meeting the user requirements for the user according to the user requirements.
Disclosure of Invention
In order to solve the problems that an existing intelligent traffic system or navigation software lacks effective integration on a highway service area of a driving route and cannot push the highway service area meeting the user requirements for users according to the user requirements, the application provides an intelligent traffic service pushing method and system based on big data.
In a first aspect, the present application provides a traffic service intelligent pushing method based on big data, which adopts the following technical scheme:
a traffic service intelligent pushing method based on big data comprises the following steps:
establishing a service pushing platform, and importing the information of the expressway service area to perform classification and arrangement to form an expressway service area information database;
acquiring user service area appeal information in real time, and extracting the service area appeal information to acquire a demand keyword;
acquiring user navigation route information and position information in real time, wherein the navigation information comprises starting point position information, end point position information and navigation line information;
obtaining the remaining non-passing expressway service area of the user according to the user navigation route information and the position information to generate a service area matching directory;
matching a highway service area which best meets the requirement key words of the user in the highway service areas in the service area matching directory according to a preset matching rule;
and feeding back the expressway service area to the user, and sending the position information of the expressway service area to a navigation system of the user after the user confirms to form a passing point and generate new navigation route information.
By adopting the technical scheme, the demand keywords are obtained by collecting the user service area appeal information of the user through real-time analysis and extraction, the matched expressway service area is confirmed according to the user navigation route information and the position information, the expressway service area which best meets the demand keywords of the user is matched in the expressway service areas in the service area matching directory according to the preset matching rules, intelligent and accurate expressway service area pushing service is provided for the user to go out at high speed, the problem that the existing intelligent traffic system or navigation software lacks effective integration for the expressway service area of the driving route is solved, the expressway service area meeting the demand of the user can be pushed for the user according to the demand of the user, the expressway trip experience of the user is improved, and the effect of efficiently and intelligently solving the demand of the user is achieved.
Preferably, the information of the service area of the expressway comprises service area name information, service area facility information, service area position information, service area price information, service area facility score information and service area vehicle load information.
By adopting the technical scheme, through comprehensive collection of the information of the expressway service area, the optimal expressway service area meeting the requirements of the user can be matched for the user when the user server appeal information is received, and the accuracy of service area push service is effectively improved.
Preferably, the obtaining user service area appeal information in real time, and extracting the service area appeal information to obtain the demand keyword specifically includes: the method comprises the following steps that a user connects vehicle-mounted navigation equipment or mobile equipment with a navigation function with a service push platform, and the user sends user service area appeal information to the service push platform on the vehicle-mounted navigation equipment or the mobile equipment in a voice input mode, a text input mode and a preset option input mode; the service pushing platform extracts the appeal information of the user service area after receiving the appeal information of the user service area to obtain demand keywords, wherein the demand keywords comprise time keywords, facility keywords and priority keywords.
By adopting the technical scheme, multiple connection modes are opened, a user can conveniently connect the navigation equipment with the service pushing platform, multiple information input modes are adopted, the user can conveniently and quickly send self user service area appealing information to the service pushing platform during driving, the service pushing platform can quickly push the service area information for the user according to user requirement keywords, and the effect of efficiently and intelligently solving requirements for the user is achieved.
Preferably, the acquiring the user navigation route information and the location information in real time specifically includes: the user connects the vehicle-mounted navigation equipment or the mobile equipment with the navigation function with the service push platform, and the service push platform acquires user navigation route information and position information in real time through the vehicle-mounted navigation equipment or the mobile equipment with the navigation function after acquiring user service area appeal information.
By adopting the technical scheme, the service push platform is directly connected with the navigation equipment of the user, the navigation route information and the position information of the user can be obtained in real time, the directory of the expressway service area which is not passed by the user can be conveniently confirmed according to the navigation route information and the position information, the expressway service area meeting the requirements of the user can be efficiently and quickly pushed for the user according to the requirements of the user, and the working efficiency of push service is effectively improved.
Preferably, the matching of the expressway service areas which best meet the requirement keywords of the user in the expressway service areas in the service area matching directory according to the preset matching rules specifically comprises the following steps:
a1: screening a plurality of expressway service areas which meet facility keywords in the user requirement keywords from the expressway service areas in the service area matching directory according to the user requirement keywords;
a2: judging whether the requirement keywords of the user exist priority keywords or not, if so, calculating the priorities of a plurality of expressway service areas according to the priority keywords, setting the expressway service area with the highest priority as the expressway service area which best meets the requirement keywords of the user, and if not, performing the step A3;
a3: judging whether a time keyword exists in the demand keywords of the user, if so, calculating the predicted driving time of the user reaching a plurality of expressway service areas, screening out the expressway service areas meeting the time requirement of the user according to the time keyword, and calculating the recommendation scores of the expressway service areas meeting the time requirement of the user according to a preset recommendation score formula; if no time keyword exists, directly calculating the recommendation score of each expressway service area screened out in the step A1 according to a preset recommendation score formula;
a4: and selecting the expressway service area with the highest recommendation score as the expressway service area which best meets the requirement key words of the user.
By adopting the technical scheme, the keywords are sequentially matched according to the requirements of the user, after the requirements of the user on facilities are met, the keywords are further screened and matched through the priority keywords and the time keywords, and then the best expressway service area is obtained, the effect of improving the accuracy of push service is achieved, the use satisfaction of the user is effectively improved, and the economic benefit of an enterprise is improved.
Preferably, the preset recommendation score formula is X =
Figure 725969DEST_PATH_IMAGE001
Wherein X is a recommendation score,
Figure 405343DEST_PATH_IMAGE002
is the score of the ith service area facility,
Figure 603106DEST_PATH_IMAGE003
is the cost performance score of the ith service area facility.
By adopting the technical scheme, the service area is compared through two dimensions of service area facility scoring and cost performance, the expressway service area with good service, complete facilities and high cost performance is recommended to the user as far as possible on the premise of meeting the facility requirements of the user, the use experience of the user is effectively improved, and the effect of intelligently solving the requirements for the user is achieved.
Preferably, the cost performance score of the service area facility is calculated by the formula
Figure 275396DEST_PATH_IMAGE004
Wherein Z is the cost performance value of the service area facility, A is the price value of the service area facility, and a is the average price value of the service area facility.
By adopting the technical scheme, the cost performance of each facility in the service area is counted, the highway service area with high cost performance is recommended for the user on the premise of meeting the facility requirements of the user, and meanwhile, the intelligence and the accuracy of the push service in the highway service area are effectively improved.
Preferably, the feeding back the service area of the highway to the user specifically includes: and the service pushing platform sends the matched expressway service area which best meets the requirement keywords of the user to the user, and lists the distance information of the expressway service area and the service area facility introduction information matched with the facility keywords in the requirement keywords of the user.
By adopting the technical scheme, the user can conveniently and quickly know the approximate situation of the pushed expressway service area, the judgment of the user is convenient, and the trip experience at high speed of the user is improved.
In a second aspect, the present application provides a traffic service intelligent push system based on big data, which adopts the following technical scheme:
a traffic service intelligent pushing system based on big data comprises:
the server module is used for establishing a service pushing platform and importing the information of the expressway service area to perform classification and arrangement to form an expressway service area information database;
the information acquisition module is used for being connected with vehicle-mounted navigation equipment or mobile equipment with a navigation function of a user, acquiring user service area appeal information in real time, and extracting the service area appeal information to acquire a demand keyword; acquiring user navigation route information and position information in real time, wherein the navigation information comprises starting point position information, end point position information and navigation line information;
the service area matching module is used for acquiring remaining non-passing expressway service areas of the user according to the user navigation route information and the position information to generate a service area matching directory, and matching the expressway service areas which best meet the requirement keywords of the user in the expressway service areas in the service area matching directory according to a preset matching rule;
the navigation intervention module is used for feeding back the expressway service area to the user, sending the position information of the expressway service area to a navigation system of the user after the position information is confirmed by the user to form a passing point and generate new navigation route information;
the server module, the information acquisition module, the service area matching module and the navigation intervention module are in communication connection with each other.
By adopting the technical scheme, the demand keywords are obtained by collecting the user service area appeal information of the user through real-time analysis and extraction, the matched expressway service area is confirmed according to the user navigation route information and the position information, the expressway service area which best meets the demand keywords of the user is matched in the expressway service areas in the service area matching directory according to the preset matching rules, intelligent and accurate expressway service area pushing service is provided for the user to go out at high speed, the problem that the existing intelligent traffic system or navigation software lacks effective integration for the expressway service area of the driving route is solved, the expressway service area meeting the demand of the user can be pushed for the user according to the demand of the user, the expressway trip experience of the user is improved, and the effect of efficiently and intelligently solving the demand of the user is achieved.
In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, storing a computer program that can be loaded by a processor and that performs any of the methods described above.
By adopting the technical scheme, the demand keywords are obtained by collecting the user service area appeal information of the user through real-time analysis and extraction, the matched expressway service area is confirmed according to the user navigation route information and the position information, the expressway service area which best meets the demand keywords of the user is matched in the expressway service areas in the service area matching directory according to the preset matching rules, intelligent and accurate expressway service area pushing service is provided for the user to go out at high speed, the problem that the existing intelligent traffic system or navigation software lacks effective integration for the expressway service area of the driving route is solved, the expressway service area meeting the demand of the user can be pushed for the user according to the demand of the user, the expressway trip experience of the user is improved, and the effect of efficiently and intelligently solving the demand of the user is achieved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method comprises the steps of acquiring user service area appeal information of a user, analyzing and extracting in real time to obtain a demand keyword, confirming a matched high-speed service area according to user navigation route information and position information, matching a highway service area which best meets the demand keyword of the user in the highway service areas in a service area matching directory according to a preset matching rule, providing intelligent and precise highway service area pushing service for high-speed travel of the user, solving the problem that an existing intelligent transportation system or navigation software lacks effective integration on the highway service area of a traveling route, being capable of pushing the highway service area meeting the demand of the user according to the demand of the user, improving the high-speed travel experience of the user and achieving the effect of efficiently and intelligently solving the demand of the user;
2. the method has the advantages that the keywords are sequentially matched according to the requirement of the user, after the requirement of the user on facilities is met, the keywords are further screened and matched through the priority keywords and the time keywords, the best expressway service area is obtained, the effect of improving the accuracy of push service is achieved, the use satisfaction degree of the user is effectively improved, and the economic benefit of enterprises is improved;
3. the service area is evaluated through two dimensions of service area facility scoring and cost performance, on the premise that the requirement of the user facility is met, the expressway service area with good service, complete facilities and high cost performance is recommended to the user as far as possible, the use experience of the user is effectively improved, and the effect of intelligently solving the requirement for the user is achieved.
Drawings
FIG. 1 is a block diagram of a traffic service intelligent pushing method based on big data in the embodiment of the present application;
FIG. 2 is a block diagram of a method for matching highway service areas in an embodiment of the present application;
fig. 3 is a system block diagram of an intelligent traffic service push system based on big data in an embodiment of the present application.
Description of reference numerals: 1. a server module; 2. an information acquisition module; 3. a service area matching module; 4. and a navigation intervention module.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiment of the application discloses a traffic service intelligent pushing method based on big data. Referring to fig. 1, a traffic service intelligent pushing method based on big data includes the following steps:
s1, establishing a service push platform: establishing a service pushing platform, and importing the information of the expressway service area to perform classification and arrangement to form an expressway service area information database;
s2, obtaining user service area appeal information in real time: acquiring user service area appeal information in real time, and extracting the service area appeal information to acquire a demand keyword;
s3, acquiring user navigation route information and position information in real time: acquiring user navigation route information and position information in real time, wherein the navigation information comprises starting point position information, end point position information and navigation line information;
s4, generating a service area matching directory: obtaining the remaining non-passing expressway service area of the user according to the user navigation route information and the position information to generate a service area matching directory;
s5, matching the expressway service area which best meets the requirement keywords of the user: matching a highway service area which best meets the requirement key words of the user in the highway service areas in the service area matching directory according to a preset matching rule;
s6, generating new navigation route information: and feeding back the expressway service area to the user, and sending the position information of the expressway service area to a navigation system of the user after the user confirms to form a passing point and generate new navigation route information. The method comprises the steps of acquiring user service area appeal information of a user, analyzing and extracting in real time to obtain a demand keyword, and confirming a high-speed service area to be matched according to user navigation route information and position information. The expressway service areas which best meet the requirement keywords of the user are matched in the expressway service areas in the service area matching directory according to the preset matching rules, intelligent and accurate expressway service area pushing services are provided for the high-speed travel of the user, and the problem that the existing intelligent transportation system or navigation software lacks effective integration for the expressway service areas of the driving routes is solved. The high-speed service area meeting the requirements of the user can be pushed for the user according to the requirements of the user, the high-speed travel experience of the user is improved, and the effect of efficiently and intelligently solving the requirements for the user is achieved.
The highway service area information comprises service area name information, service area facility information, service area position information, service area price information, service area facility scoring information and service area vehicle load information. Through the comprehensive collection of the information of the expressway service areas, the optimal expressway service areas meeting the requirements of the users can be matched for the users when the appeal information of the user servers is received, and the pushing service accuracy of the service areas is effectively improved.
The step S2 of acquiring user service area appeal information in real time, and extracting service area appeal information to acquire a demand keyword specifically includes: the method comprises the following steps that a user connects vehicle-mounted navigation equipment or mobile equipment with a navigation function with a service push platform, and the user sends user service area appeal information to the service push platform on the vehicle-mounted navigation equipment or the mobile equipment in a voice input mode, a text input mode and a preset option input mode; the service pushing platform extracts the user service area appeal information to acquire the requirement key words after receiving the user service area appeal information. The requirement keywords comprise time keywords, facility keywords and priority keywords. The facility keywords are extracted from the user demand information by referring to building nouns or service nouns corresponding to buildings, such as restaurants, gas stations, toilets, hotels, convenience stores, and the like. The priority keywords are extracted from words with priority guidance in the user appeal information to obtain the nearest service area, the service area with the lowest oil price and the like. The time keywords are obtained by extracting the limiting words of the travel time in the user appeal information, such as the arrival within one hour, the arrival within twenty minutes and the like. Through the open multiple connected mode of service propelling movement platform, the user of being convenient for can be comparatively convenient be connected navigation equipment and service propelling movement platform, adopts multiple information input mode simultaneously, and the user of being convenient for can be fast convenient send the user service area solicited information of self to service propelling movement platform on the way driving, and then ensures that service propelling movement platform can be fast according to user's demand keyword for user's propelling movement service area information, reaches the effect that high-efficient intellectuality solved the demand for the user.
The step S3 of acquiring the user navigation route information and the location information in real time specifically includes: the user connects the vehicle-mounted navigation equipment or the mobile equipment with the navigation function with the service push platform, and the service push platform acquires user navigation route information and position information in real time through the vehicle-mounted navigation equipment or the mobile equipment with the navigation function after acquiring user service area appeal information. The service push platform is directly connected with the navigation equipment of the user, the navigation route information and the position information of the user can be acquired in real time, the name list of the expressway service area which the user does not pass through is convenient to confirm according to the navigation route information and the position information, the expressway service area meeting the requirements of the user is pushed for the user efficiently and quickly according to the requirements of the user, and the working efficiency of push service is effectively improved.
Referring to fig. 2, the step S5 of matching the highway service area that best meets the requirement keyword of the user among the highway service areas in the service area matching directory according to the preset matching rule specifically includes the following steps:
a1, screening and matching according to the facility keywords: screening a plurality of expressway service areas which meet facility keywords in the user requirement keywords from the expressway service areas in the service area matching directory according to the user requirement keywords;
a2, judging whether the priority keywords exist: judging whether the requirement keywords of the user exist priority keywords or not, if so, calculating the priorities of a plurality of expressway service areas according to the priority keywords, setting the expressway service area with the highest priority as the expressway service area which best meets the requirement keywords of the user, and if not, performing the step A3;
a3, judging whether the time keyword exists: judging whether a time keyword exists in the demand keywords of the user, if so, calculating the predicted driving time of the user reaching a plurality of expressway service areas, screening out the expressway service areas meeting the time requirement of the user according to the time keyword, and calculating the recommendation scores of the expressway service areas meeting the time requirement of the user according to a preset recommendation score formula; if no time keyword exists, directly calculating the recommendation score of each expressway service area screened out in the step A1 according to a preset recommendation score formula;
a4, selecting a highway service area: and selecting the expressway service area with the highest recommendation score as the expressway service area which best meets the requirement key words of the user. The method has the advantages that the keywords are matched in sequence according to the requirements of the user, after the requirements of the user for facilities are met, the keywords are further screened and matched through the priority keywords and the time keywords, the best expressway service area is obtained, the effect of improving the accuracy of push service is achieved, the use satisfaction of the user is effectively improved, and the economic benefit of an enterprise is improved.
The preset recommendation score formula in the step a3 is X = d
Figure 507794DEST_PATH_IMAGE001
Wherein X is a recommendation score,
Figure 623649DEST_PATH_IMAGE002
is the score of the ith service area facility,
Figure 777549DEST_PATH_IMAGE003
is the cost performance score of the ith service area facility. The service area is evaluated through two dimensions of service area facility scoring and cost performance, on the premise that the requirement of the user facility is met, the expressway service area with good service, complete facilities and high cost performance is recommended to the user as far as possible, the use experience of the user is effectively improved, and the effect of intelligently solving the requirement for the user is achieved.
The calculation formula of the cost performance score of the service area facilities is
Figure 519109DEST_PATH_IMAGE004
Wherein Z is the cost performance value of the service area facility, A is the price value of the service area facility, and a is the average price value of the service area facility. By counting the cost performance of each facility in the service area, the expressway service area with high cost performance is recommended for the user on the premise of meeting the facility requirements of the user, and meanwhile, the intelligence and the accuracy of the push service in the expressway service area are effectively improved.
The step S6 of feeding back the expressway service area to the user specifically includes: and the service pushing platform sends the matched expressway service area which best meets the requirement keywords of the user to the user, and lists the distance information of the expressway service area and the service area facility introduction information matched with the facility keywords in the requirement keywords of the user. The user can conveniently and quickly know the approximate situation of the pushed expressway service area, the user can conveniently make a judgment, and the high-speed trip experience of the user is improved.
The embodiment of the application also discloses a traffic service intelligent pushing system based on the big data. Referring to fig. 3, an intelligent traffic service push system based on big data includes:
the system comprises a server module 1, a service pushing platform, a highway service area information database and a service data processing module, wherein the server module is used for establishing the service pushing platform, and importing the highway service area information for classification and arrangement to form the highway service area information database;
the information acquisition module 2 is used for being connected with vehicle-mounted navigation equipment or mobile equipment with a navigation function of a user, acquiring user service area appeal information in real time, and extracting the service area appeal information to acquire a demand keyword; acquiring user navigation route information and position information in real time, wherein the navigation information comprises starting point position information, end point position information and navigation line information;
the service area matching module 3 is used for acquiring remaining and non-passing highway service areas of the user according to the user navigation route information and the position information to generate a service area matching directory, and matching the highway service areas which best meet the requirement keywords of the user in the highway service areas in the service area matching directory according to a preset matching rule;
the navigation intervention module 4 is used for feeding back the expressway service area to the user, sending the position information of the expressway service area to a navigation system of the user after the position information is confirmed by the user to form a passing point and generate new navigation route information;
the server module 1, the information acquisition module 2, the service area matching module 3 and the navigation intervention module 4 are in communication connection with each other. The method comprises the steps of acquiring user service area appeal information of a user, analyzing and extracting in real time to obtain a demand keyword, confirming a matched high-speed service area according to user navigation route information and position information, and matching the high-speed service area which best meets the demand keyword of the user in the high-speed service areas in a service area matching directory according to a preset matching rule. The intelligent and accurate pushing service of the expressway service area is provided for the high-speed travel of the user, and the problem that the existing intelligent transportation system or navigation software lacks effective integration on the expressway service area of a driving route is solved. The high-speed service area meeting the requirements of the user can be pushed for the user according to the requirements of the user, the high-speed travel experience of the user is improved, and the effect of efficiently and intelligently solving the requirements for the user is achieved.
The embodiment of the present application further discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and executed in the method as described above, and the computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above examples are only used to illustrate the technical solutions of the present invention, and do not limit the scope of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from these embodiments without making any inventive step, fall within the scope of the present invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art may still make various combinations, additions, deletions or other modifications of the features of the embodiments of the present invention according to the situation without conflict, so as to obtain different technical solutions without substantially departing from the spirit of the present invention, and these technical solutions also fall within the protection scope of the present invention.

Claims (10)

1. A traffic service intelligent pushing method based on big data is characterized by comprising the following steps:
establishing a service pushing platform, and importing the information of the expressway service area to perform classification and arrangement to form an expressway service area information database;
acquiring user service area appeal information in real time, and extracting the service area appeal information to acquire a demand keyword;
acquiring user navigation route information and position information in real time, wherein the navigation information comprises starting point position information, end point position information and navigation line information;
obtaining the remaining non-passing expressway service area of the user according to the user navigation route information and the position information to generate a service area matching directory;
matching a highway service area which best meets the requirement key words of the user in the highway service areas in the service area matching directory according to a preset matching rule;
and feeding back the expressway service area to the user, and sending the position information of the expressway service area to a navigation system of the user after the user confirms to form a passing point and generate new navigation route information.
2. The intelligent pushing method for traffic services based on big data according to claim 1, characterized in that: the information of the expressway service area comprises service area name information, service area facility information, service area position information, service area price information, service area facility scoring information and service area vehicle load information.
3. The intelligent traffic service pushing method based on big data as claimed in claim 1, wherein the obtaining of the user service area appeal information in real time, extracting the service area appeal information to obtain the demand keyword specifically includes: the method comprises the following steps that a user connects vehicle-mounted navigation equipment or mobile equipment with a navigation function with a service push platform, and the user sends user service area appeal information to the service push platform on the vehicle-mounted navigation equipment or the mobile equipment in a voice input mode, a text input mode and a preset option input mode; the service pushing platform extracts the appeal information of the user service area after receiving the appeal information of the user service area to obtain demand keywords, wherein the demand keywords comprise time keywords, facility keywords and priority keywords.
4. The intelligent pushing method for traffic services based on big data as claimed in claim 1, wherein the obtaining of the user navigation route information and the location information in real time specifically comprises: the user connects the vehicle-mounted navigation equipment or the mobile equipment with the navigation function with the service push platform, and the service push platform acquires user navigation route information and position information in real time through the vehicle-mounted navigation equipment or the mobile equipment with the navigation function after acquiring user service area appeal information.
5. The intelligent traffic service pushing method based on big data as claimed in claim 2, wherein the step of matching the highway service area that best meets the requirement keyword of the user among the highway service areas in the service area matching directory according to the preset matching rule specifically comprises the steps of:
a1: screening a plurality of expressway service areas which meet facility keywords in the user requirement keywords from the expressway service areas in the service area matching directory according to the user requirement keywords;
a2: judging whether the requirement keywords of the user exist priority keywords or not, if so, calculating the priorities of a plurality of expressway service areas according to the priority keywords, setting the expressway service area with the highest priority as the expressway service area which best meets the requirement keywords of the user, and if not, performing the step A3;
a3: judging whether a time keyword exists in the demand keywords of the user, if so, calculating the predicted driving time of the user reaching a plurality of expressway service areas, screening out expressway service areas meeting the user time requirement according to the time keyword, and calculating the recommendation score of each expressway service area meeting the user time requirement according to a preset recommendation score formula; if no time keyword exists, directly calculating the recommendation score of each expressway service area screened out in the step A1 according to a preset recommendation score formula;
a4: and selecting the expressway service area with the highest recommendation score as the expressway service area which best meets the requirement key words of the user.
6. The intelligent pushing method for traffic services based on big data as claimed in claim 5, wherein the preset recommendation score formula is: x =
Figure 691294DEST_PATH_IMAGE001
Wherein X is a recommendation score,
Figure 589980DEST_PATH_IMAGE002
is the score of the ith service area facility,
Figure 425080DEST_PATH_IMAGE003
is the cost performance score of the ith service area facility.
7. The intelligent pushing method for traffic services based on big data as claimed in claim 6, wherein the cost performance score of the service area facilities is calculated by the formula
Figure 169045DEST_PATH_IMAGE004
Wherein Z is the cost performance value of the service area facility, A is the price value of the service area facility, and a is the average price value of the service area facility.
8. The intelligent pushing method for traffic services based on big data as claimed in claim 1, wherein the feeding back the expressway service area to the user specifically comprises: and the service pushing platform sends the matched expressway service area which best meets the requirement keywords of the user to the user, and lists the distance information of the expressway service area and the service area facility introduction information matched with the facility keywords in the requirement keywords of the user.
9. An intelligent traffic service pushing system based on big data, which is applied to the intelligent traffic service pushing method based on big data in any one of the above claims 1-8, and is characterized by comprising the following steps:
the system comprises a server module (1) and a service pushing module, wherein the server module is used for establishing a service pushing platform, and importing highway service area information for classification and arrangement to form a highway service area information database;
the information acquisition module (2) is used for being connected with vehicle-mounted navigation equipment or mobile equipment with a navigation function of a user, acquiring user service area appeal information in real time, and extracting the service area appeal information to acquire a demand keyword; acquiring user navigation route information and position information in real time, wherein the navigation information comprises starting point position information, end point position information and navigation line information;
the service area matching module (3) is used for acquiring the remaining non-passing expressway service areas of the user according to the user navigation route information and the position information to generate a service area matching directory, and matching the expressway service areas which best meet the requirement keywords of the user in the expressway service areas in the service area matching directory according to a preset matching rule;
the navigation intervention module (4) is used for feeding back the expressway service area to the user, sending the position information of the expressway service area to a navigation system of the user after the position information is confirmed by the user to form a passing point and generate new navigation route information;
the server module (1), the information acquisition module (2), the service area matching module (3) and the navigation intervention module (4) are in communication connection with each other.
10. A computer-readable storage medium characterized by: a computer program which can be loaded by a processor and which performs the method according to any of claims 1-8.
CN202210129259.0A 2022-02-11 2022-02-11 Traffic service intelligent pushing method and system based on big data Pending CN114485713A (en)

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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101341464A (en) * 2005-10-23 2009-01-07 谷歌公司 Search over structured data
CN101957206A (en) * 2009-07-15 2011-01-26 常州市新科汽车电子有限公司 Searching method of service area of navigator
CN102902695A (en) * 2011-07-29 2013-01-30 上海博泰悦臻电子设备制造有限公司 Navigation system as well as interest point searching method and device
CN106096026A (en) * 2016-06-24 2016-11-09 武汉合创源科技有限公司 A kind of product search method and system
CN108268653A (en) * 2018-01-30 2018-07-10 青岛中兴智能交通有限公司 A kind of traffic data processing method and device
CN109813331A (en) * 2017-11-20 2019-05-28 腾讯科技(深圳)有限公司 Information point mask method, device, equipment and computer readable storage medium
CN110231046A (en) * 2018-10-23 2019-09-13 蔚来汽车有限公司 Air navigation aid and navigation device
CN110319835A (en) * 2018-03-30 2019-10-11 株式会社斯巴鲁 On-vehicle navigation apparatus and the point search device being used together with the device
CN110657819A (en) * 2018-06-28 2020-01-07 比亚迪股份有限公司 Voice navigation method and device, computer equipment and storage medium
CN113742584A (en) * 2021-08-31 2021-12-03 胡之乐 Cultural tourism intelligent promotion method and system based on big data

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101341464A (en) * 2005-10-23 2009-01-07 谷歌公司 Search over structured data
CN101957206A (en) * 2009-07-15 2011-01-26 常州市新科汽车电子有限公司 Searching method of service area of navigator
CN102902695A (en) * 2011-07-29 2013-01-30 上海博泰悦臻电子设备制造有限公司 Navigation system as well as interest point searching method and device
CN106096026A (en) * 2016-06-24 2016-11-09 武汉合创源科技有限公司 A kind of product search method and system
CN109813331A (en) * 2017-11-20 2019-05-28 腾讯科技(深圳)有限公司 Information point mask method, device, equipment and computer readable storage medium
CN108268653A (en) * 2018-01-30 2018-07-10 青岛中兴智能交通有限公司 A kind of traffic data processing method and device
CN110319835A (en) * 2018-03-30 2019-10-11 株式会社斯巴鲁 On-vehicle navigation apparatus and the point search device being used together with the device
CN110657819A (en) * 2018-06-28 2020-01-07 比亚迪股份有限公司 Voice navigation method and device, computer equipment and storage medium
CN110231046A (en) * 2018-10-23 2019-09-13 蔚来汽车有限公司 Air navigation aid and navigation device
CN113742584A (en) * 2021-08-31 2021-12-03 胡之乐 Cultural tourism intelligent promotion method and system based on big data

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