CN113611116B - Concomitant service providing method and system based on user position - Google Patents
Concomitant service providing method and system based on user position Download PDFInfo
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- CN113611116B CN113611116B CN202110907712.1A CN202110907712A CN113611116B CN 113611116 B CN113611116 B CN 113611116B CN 202110907712 A CN202110907712 A CN 202110907712A CN 113611116 B CN113611116 B CN 113611116B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/024—Guidance services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
Abstract
The invention provides a method and a system for providing a concomitant service based on a user position, wherein the method comprises the following steps: according to the method, real-time position information of a user is obtained through fusion of multiple positioning bases such as Beidou GPS navigation, a vehicle-mounted terminal, a road side intelligent base station and a camera video, personalized information such as early warning information, special weather service information, optimal path planning decision service information, travel service information and transportation service information in a targeted road area influence range is pushed to different levels of users at different positions in various modes, and accurate accompanying service for the position of the individual user is achieved. Compared with the prior art, the intelligent service system and the intelligent service method truly realize intelligent, intelligent and personalized service, improve the user experience, improve the traffic efficiency and ensure the traffic safety.
Description
Technical Field
The invention belongs to the field of travel services, and particularly relates to a concomitant service providing method and system based on a user position.
Background
The location service (Location based service, abbreviated LBS) is a mobile computing service that has emerged in recent years. Along with the continuous improvement of positioning accuracy of GPS, beidou and the like, the demands of the masses on the position service are growing in the daily production and living processes. With the rapid development of the mobile internet, how to extract useful information from massive multiple information based on the user location information for modeling analysis, so as to provide accurate service for users is a concern of most mobile internet merchants and users in the technical background today. At present, there are more information services at home and abroad and information services based on user positions, however, accurate companion-type services based on user positions also face the following problems and challenges:
Firstly, the targeted road travel service recommendation is less, and the road travel service recommendation is not comprehensive and visual. The current scheme mainly aims at information pushing of a vehicle travel destination, lacks real-time service for carrying out full-flow accompanying type based on the change of the travel position and the demand of a user, and is difficult to fundamentally meet the travel demand of the public.
Secondly, at present, no case of quasi-all-weather diversified travel information service release under severe weather conditions and service provision based on different travel attributes of users exist, so in order to improve the friendliness and applicability of the user information service, customized services are pushed to users with different travel attributes in a more diversified mode, and quasi-all-weather travel information release is realized.
Disclosure of Invention
In view of the above problems, the present invention provides a method and a system for providing a concomitant service based on a user location, so as to solve the problem of accurate information service and realize full-flow concomitant information service before trip, during trip and after trip.
The method for providing the syndromes service based on the user positions comprises the following steps:
step S101, user location identification, specifically including: acquiring real-time position information L of user according to fusion of multiple positioning bases itxy And updating the position of the user in real time or periodically, and simultaneously updating the track information G of the user map (i)＝{L itxy ∪O i ∪I ixy The I (i, t, x, y) is sent to a service platform to process travel data and sample interpolation storage;
wherein i identifies the current user, t is the current time, x is the longitude position of the current user i at the current time t, y is the latitude position of the current user i at the current time t, L itxy Representing the real-time position of the current user at the current time t, I ixy Represents the interpolation position of the current user, O i Representing other position related information of the current user, wherein the other position related information comprises a speed v, an acceleration a, a movement direction d and a heading theta;
the multiple positioning bases comprise Beidou GPS navigation, a vehicle-mounted terminal, a road side intelligent base station and camera video identification; under the condition that a plurality of positioning bases are acquired, weighting different positioning bases based on precision, and taking the received GPS coordinates as main positions (x, y) = (x) gps ,y gps ) When the GPS signal fails, the real-time position L of the current user is obtained according to the rest positioning by applying a filtering fusion algorithm itxy The method comprises the steps of carrying out a first treatment on the surface of the Wherein x is gps GPS longitude coordinate, y gps The GPS latitude coordinate is (x, y) the longitude and latitude coordinate of the current user real-time position;
step S102, traffic control service, specifically comprising: acquiring and short-term predicting real-time location information L of a user itxy Corresponding traffic conditions trafficconditions= { TC normal ,TC warn And to the affected domain range ir= { I jw Users in the I (j, w) provide road condition information service and special road section early warning information service; wherein TC is normal Representing traffic information, TC warn Representing special road section early warning information, j is longitude of each position in the affected road area, w is latitude of each position in the affected road area, I jw Representing locations within the affected area;
the road condition information TC normal The road condition information comprises the average speed of the vehicle according to the video identification of the cameras of the whole user travel area section or the active reporting mode of the surrounding users
Traffic flow q, vehicle road occupancy k s Wherein t is the current time; while being based on the current user real-time location L itxy Constructing a road condition prediction model GT-CKRVM based on RVM
,k s Q), providing short-term road condition prediction information;
the special road section early warning information service is provided specifically when the user is judged to be in the special road section L itxy ∈Rs se When the vehicle-mounted intelligent braking system is used, the platform issues special road section early warning information to a user through the variable information board and emergency broadcasting, and meanwhile, the vehicle-mounted terminal and the mobile phone terminal are used for carrying out personalized braking or slow-running early warning in time; wherein Rs is se = { (sstart, send) } represents the special road segment, sstart is the start position of the special road segment, send is the end position of the special road segment; wherein the special road segment Rs is identified by camera video se Or after the weather/road surface detector detects the weather condition of the road surface, the weather condition of the road surface is sent to the nearby intelligent base station on the road side, and the intelligent base station on the road side identifies the special section Rs se ；
Wherein, aiming at the special road section early warning information service, when the emergency event is judged to occur and the position is at the current user real-time position L by the intelligent road side base station and the camera video identification or the user active reporting mode itxy When the platform is in front of the road domain, the platform judges the influence road domain range Ir= { I according to the information reported by the user jw I (j, w), and provides duration of the affected road condition, accident specific information to all vehicles v= { V within the affected range ixy (x, y) e Ir, where the above indicates that the location (x, y) where user i is located is contained within the road domain range Ir, V ixy Is a vehicle within the influence of a road domain; the platform judges if the vehicle does not enter the road section
Indicating that the location (x, y) of the user is not included in the road domain range Ir, (x, y)<The minIr indicates that the position (x, y) of the user is smaller than all longitude and latitude positions in the Ir, namely, the user vehicle does not enter a road section yet, and bypass prompt information is sent; if the vehicle is already located in the road area impact range v= { V ixy I (x, y) epsilon Ir), prompting the user to timely perform early warning of braking or slowing down; the platform is aimed at preparing The navigation path is re-planned according to the position of the user and the travel destination of the user who does not enter the road section V', and the driver is guided to drive away from the road section where the event occurs in advance;
step S103, the companion-type information service specifically includes: userType of different grades according to terminal identification i Real-time location information L of a user itxy Acquiring customized 'before trip', 'during trip' and 'after trip' full-flow accurate accompanying service information aiming at different levels of users at different positions, and providing personalized service information ASInfo (I) = { I for the users normal ,I tour ,I trans -a }; where i represents the current user, userType i Representing the rank of user I, I normal Representing general service information, I tour Representing travel service information, I trans Transport service information, ASInfo (i) is concomitant service information of user i;
wherein, the personalized service information ASInfo (i) mainly carries out similarity analysis based on Euclidean distance according to the identified users with different grades, and recommends and pushes different service information;
wherein c represents a c-th subscribed information and related service information pair, (a, b) vectors respectively represent subscribed information of a user to be recommended and current position related service information, d (a, b) represents actual Euclidean distance between the subscribed information and the position related service information, sim (a, b) represents Euclidean distance value after normalization processing;
Service information push for terminal= { Ter by multiple intelligent Terminal software j The customized service information ASInfo= { Asinfo is distributed and broadcast to different users (i) in a diversified mode k -to obtain different service policies:
PushStrategy＝{Terminal∪ASInfo∪User(i)}
wherein Ter j Represents the jth terminal, user (i) represents the ith User, asinfo k Represents kth service information;
preferably, the short-term road condition prediction information is provided in the following manner: calculating the average speed of the vehicle according to the current time information
Inputting the density and the traffic flow q into an RVM model for prediction and solving; wherein all vehicles upload speed v via GPS based on current road segment R at current time t h Information, calculating the average speed of the road section interval as +.>
In->
Mean speed of vehicle in road section, v h The position speed of the h vehicle, and n is the number of observed vehicles; calculating the vehicle density to be replaced by the vehicle road occupancy +.>
K in s Representing occupancy in space, L is total time of detected road section, L h The vehicle length of the h vehicle is represented by n, and the number of vehicles passing through the detection road section in the observation time; calculating traffic volume->
The user identification of different grades is compared with the information stored in the system library according to the account number of the user logged in by the terminal, and if the similarity is smaller than a set threshold value, the user is a common user usertype=normal; if the similarity is larger than the set threshold, judging that the user is a VIP user usertype=vip; wherein UserType represents the class category of the user, normal represents the general user category, VIP represents the VIP user category, and the threshold rule is:
The Login represents the accumulated number of days for the user to log in the terminal, the subscript represents the information category number subscribed by the user at the terminal, and the Share represents the number of times for the user to recommend the terminal software to the user at the edge; the user interest point information categories are:
SubscribeType＝{viewpoint,play,delicacy,hotel,trans,recharge,oil}
the method comprises the following steps of taking a viewpoint type, a play type, a delicacy type, a hotel type, a trans type, a charging type, and a vehicle refueling type.
The invention also provides a concomitant service providing system based on the user position, which comprises: a user location identification module for: acquiring real-time position information L of user according to fusion of multiple positioning bases itxy And updating the position of the user in real time or periodically, and simultaneously updating the track information G of the user map (i)＝{L itxy ∪O i ∪I ixy The I (i, t, x, y) is sent to a service platform to process travel data and sample interpolation storage;
wherein i identifies the current user, t is the current time, x is the longitude position of the current user i at the current time t, y is the latitude position of the current user i at the current time t, L itxy Representing the real-time position of the current user at the current time t, I ixy Represents the interpolation position of the current user, O i Representing other position related information of the current user, wherein the other position related information comprises a speed v, an acceleration a, a movement direction d and a heading theta;
The multiple positioning bases comprise Beidou GPS navigation, a vehicle-mounted terminal, a road side intelligent base station and camera video identification; under the condition that a plurality of positioning bases are acquired, weighting different positioning bases based on precision, and taking the received GPS coordinates as main positions (x, y) = (x) gps ,y gps ) When the GPS signal fails, the real-time position L of the current user is obtained according to the rest positioning by applying a filtering fusion algorithm itxy The method comprises the steps of carrying out a first treatment on the surface of the Wherein x is gps Is GPS channelDegree coordinates, y gps The GPS latitude coordinate is (x, y) the longitude and latitude coordinate of the current user real-time position;
the traffic management and control service module is used for: acquiring and short-term predicting real-time location information L of a user itxy Corresponding traffic conditions trafficconditions= { TC normal ,TC warn And to the affected domain range ir= { I jw Users in the I (j, w) provide road condition information service and special road section early warning information service; wherein TC is normal Representing traffic information, TC warn Representing special road section early warning information, j is longitude of each position in the affected road area, w is latitude of each position in the affected road area, I jw Representing locations within the affected area;
the road condition information TC normal The road condition information comprises the average speed of the vehicle according to the video identification of the cameras of the whole user travel area section or the active reporting mode of the surrounding users 
Traffic flow q, vehicle road occupancy k s Wherein t is the current time; while being based on the current user real-time location L itxy RVM-based road condition prediction model is constructed
Providing short-term road condition prediction information;
the special road section early warning information service is provided specifically when the user is judged to be in the special road section L itxy ∈Rs se When the vehicle-mounted intelligent braking system is used, the platform issues special road section early warning information to a user through the variable information board and emergency broadcasting, and meanwhile, the vehicle-mounted terminal and the mobile phone terminal are used for carrying out personalized braking or slow-running early warning in time; wherein Rs is se = { (sstart, send) } represents the special road segment, sstart is the start position of the special road segment, send is the end position of the special road segment; wherein the special road segment Rs is identified by camera video se Or after the weather/road surface detector detects the weather condition of the road surface, the weather condition of the road surface is sent to the nearby intelligent base station on the road side, and the intelligent base station on the road side identifies the specialRoad segment Rs se ；
Wherein, aiming at the special road section early warning information service, when the emergency event is judged to occur and the position is at the current user real-time position L by the intelligent road side base station and the camera video identification or the user active reporting mode itxy When the platform is in front of the road domain, the platform judges the influence road domain range Ir= { I according to the information reported by the user jw I (j, w), and provides duration of the affected road condition, accident specific information to all vehicles v= { V within the affected range ixy (x, y) e Ir, where the above indicates that the location (x, y) where user i is located is contained within the road domain range Ir, V ixy Is a vehicle within the influence of a road domain; the platform judges if the vehicle does not enter the road section
Indicating that the location (x, y) of the user is not included in the road domain range Ir, (x, y)<The minIr indicates that the position (x, y) of the user is smaller than all longitude and latitude positions in the Ir, namely, the user vehicle does not enter a road section yet, and bypass prompt information is sent; if the vehicle is already located in the road area impact range v= { V ixy I (x, y) epsilon Ir), prompting the user to timely perform early warning of braking or slowing down; aiming at a user who prepares a traveler and does not enter the road section V', the platform re-plans a navigation path according to the position and the travel destination of the user, and guides the driver to drive away from the event-occurring road section in advance;
the accompanying information service module is used for: userType of different grades according to terminal identification i Real-time location information L of a user itxy Acquiring customized 'before trip', 'during trip' and 'after trip' full-flow accurate accompanying service information aiming at different levels of users at different positions, and providing personalized service information ASInfo (I) = { I for the users normal ,I tour ,I trans -a }; where i represents the current user, userType i Representing the rank of user I, I normal Representing general service information, I tour Representing travel service information, I trans Transport service information, ASInfo (i) is concomitant service information of user i;
wherein, the personalized service information ASInfo (i) mainly carries out similarity analysis based on Euclidean distance according to the identified users with different grades, and recommends and pushes different service information;
wherein c represents a c-th subscribed information and related service information pair, (a, b) vectors respectively represent subscribed information of a user to be recommended and current position related service information, d (a, b) represents actual Euclidean distance between the subscribed information and the position related service information, sim (a, b) represents Euclidean distance value after normalization processing;
service information push for terminal= { Ter by multiple intelligent Terminal software j The customized service information ASInfo= { Asinfo is distributed and broadcast to different users (i) in a diversified mode k -to obtain different service policies:
PushStrategy＝{Terminal∪ASInfo∪User(i)}
wherein Ter j Represents the jth terminal, user (i) represents the ith User, asinfo k Representing the kth service information.
The invention also provides a concomitant service providing device based on the user position, which comprises a processor and a memory, wherein the memory stores a computer program, and the device is characterized in that the program realizes the steps of the method when being executed by the processor.
The invention also provides a computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor realizes the steps of the above method.
Compared with the prior art, the invention has the advantages and positive effects that: according to the invention, users with different grades and travel service requirements thereof are judged and identified by acquiring the real-time positions and subscription information of the users, and information face-to-face service is provided, namely, the daily travel requirements of the travelers are analyzed according to the travel attributes and traffic states of the users, the associated service information is actively pushed, so that intelligent, intelligent and personalized service is truly realized, the user experience is improved, the traffic efficiency is improved, and the traffic safety is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for providing a concomitant service based on a user location according to the present invention.
Detailed Description
Example 1
As shown in fig. 1, the present invention provides a method for providing a syndromes service based on a user location, comprising the following steps:
step S101, user location identification, specifically including: acquiring real-time position information L of user according to fusion of multiple positioning bases itxy And updating the position of the user in real time or periodically, and simultaneously updating the track information G of the user map (i)＝{L itxy ∪O i ∪I ixy The I (i, t, x, y) is sent to a service platform to process travel data and sample interpolation storage;
wherein i identifies the current user, t is the current time, x is the longitude position of the current user i at the current time t, y is the latitude position of the current user i at the current time t, L itxy Representing the real-time position of the current user at the current time t, I ixy Represents the interpolation position of the current user, O i Other location related information representing the current user, including velocity v, acceleration a, direction of movement d,Heading theta;
the multiple positioning bases comprise Beidou GPS navigation, a vehicle-mounted terminal, a road side intelligent base station and camera video identification; under the condition that a plurality of positioning bases are acquired, weighting different positioning bases based on precision, and taking the received GPS coordinates as main positions (x, y) = (x) gps ,y gps ) When the GPS signal fails, the real-time position L of the current user is obtained according to the rest positioning by applying a filtering fusion algorithm itxy The method comprises the steps of carrying out a first treatment on the surface of the Wherein x is gps GPS longitude coordinate, y gps The GPS latitude coordinate is (x, y) the longitude and latitude coordinate of the current user real-time position;
real-time location information L of the user itxy And acquiring a plurality of positioning bases according to the automatic positioning service request of the user, setting weights according to the precision of different positioning, and comprehensively positioning by a model fusion algorithm. And meanwhile, the vehicle track information is sent to a service platform for storing trip data. The track information for user i is a set of time stamped locations: g map (i)＝{L itxy ∪O i ∪I ixy I (i, t, x, y). The track information data set is the data of the identification position with time characteristics in a certain space range of the user and is used for traffic control, and the generation and distribution range and timeliness determination of the accompanying service strategy.
Step S102, traffic control service, specifically comprising: acquiring and short-term predicting real-time location information L of a user itxy Corresponding traffic conditions trafficconditions= { TC normal ,TC warn And to the affected domain range ir= { I jw Users in the I (j, w) provide road condition information service and special road section early warning information service; wherein TC is normal Representing traffic information, TC warn Representing special road section early warning information, j is longitude of each position in the affected road area, w is latitude of each position in the affected road area, I jw Representing locations within the affected area;
the road condition information TC normal The road condition information comprises the average speed of the vehicle according to the video identification of the cameras on the whole road section of the travel of the user or the active reporting mode of the peripheral usersDegree of
Traffic flow q, vehicle road occupancy k s Wherein t is the current time; while being based on the current user real-time location L itxy RVM-based road condition prediction model is constructed
Providing short-term road condition prediction information. The traffic condition prediction is mainly used for calculating the average speed of the vehicle according to the current time information>
And (t is the current moment), the density and the traffic flow q are input into an RVM model for prediction and solving. Wherein all vehicles upload speed v via GPS based on current road segment R at current time t h Information, calculating the average speed of the road section interval as +.>
In->
Mean speed of vehicle in road section, v h The position speed of the h vehicle, and n is the number of observed vehicles; calculating the vehicle density to be replaced by the vehicle road occupancy +.>
K in s Representing occupancy in space, L is total time of detected road section, L h The vehicle length of the h vehicle is represented by n, and the number of vehicles passing through the detection road section in the observation time; calculating traffic volume->
The special road section early warning information service is provided specifically when the user is judged to be in the special road section L itxy ∈Rs se When the vehicle-mounted intelligent braking system is used, the platform issues special road section early warning information to a user through the variable information board and emergency broadcasting, and meanwhile, the vehicle-mounted terminal and the mobile phone terminal are used for carrying out personalized braking or slow-running early warning in time; wherein Rs is se = { (sstart, send) } represents the special road segment, sstart is the start position of the special road segment, send is the end position of the special road segment; wherein the special road segment Rs is identified by camera video se Or after the weather/road surface detector detects the weather condition of the road surface, the weather condition of the road surface is sent to the nearby intelligent base station on the road side, and the intelligent base station on the road side identifies the special section Rs se . The early warning information TC warn To provide a reminder of the road conditions ahead to the current vehicle according to the traffic state of the road section R= { (start, end) }, especially on a special road section Rs se When traffic conditions such as traffic control, construction blocking, congestion and accidents are met in the front or in the front, intelligent induction information can be pushed to an intelligent terminal to broadcast, and quasi-all-weather travel information service is provided.
Wherein, aiming at the special road section early warning information service, when the emergency event is judged to occur and the position is at the current user real-time position L by the intelligent road side base station and the camera video identification or the user active reporting mode itxy When the platform is in front of the road domain, the platform judges the influence road domain range Ir= { I according to the information reported by the user jw I (j, w), and provides duration of the affected road condition, accident specific information to all vehicles v= { V within the affected range ixy (x, y) e Ir, where the above indicates that the location (x, y) where user i is located is contained within the road domain range Ir, V ixy Is a vehicle within the influence of a road domain; the platform judges if the vehicle does not enter the road section
Indicating that the location (x, y) of the user is not included in the road domain range Ir, (x, y)<The minIr indicates that the position (x, y) of the user is smaller than all longitude and latitude positions in the Ir, namely, the user vehicle does not enter a road section yet, and bypass prompt information is sent; if the vehicle is already located in the road area impact range v= { V ixy I (x, y) epsilon Ir), prompting the user to timely perform early warning of braking or slowing down; the platform aims at preparing travel staff and non-entering road section VAnd the user re-plans the navigation path according to the position and the travel destination to guide the driver to drive away from the event occurrence road section in advance.
The above-mentioned special road segment Rs se Including long tunnels, long longitudinal slopes, severe weather sections, sharp turns, multiple falling rocks, multiple accidents, and the like, wherein severe weather mainly comprises strong wind, heavy fog, heavy rain, heavy snow, road icing, and the like.
Finally, the platform re-plans the navigation path according to the positions of the prepared travelers and the users who do not enter the road section V' and the travel destination, guides the driver to drive away from the road section where the event occurs in advance, ensures the passing efficiency of the driving vehicle, and reduces the passing pressure after the expressway is sealed or the accident.
Step S103, the companion-type information service specifically includes: userType of different grades according to terminal identification i Real-time location information L of a user itxy Acquiring customized 'before trip', 'during trip' and 'after trip' full-flow accurate accompanying service information aiming at different levels of users at different positions, and providing personalized service information ASInfo (I) = { I for the users normal ,I tour ,I trans -a }; where i represents the current user, userType i Representing the rank of user I, I normal Representing general service information, I tour Representing travel service information, I trans The transport service information is represented, and the ASInfo (i) represents the concomitant service information of the user i.
The personalized service information ASInfo (i) is mainly used for carrying out similarity analysis based on Euclidean distance according to the identified users of different grades, recommending and pushing different service information.
Wherein c represents a c-th subscribed information and related service information pair, (a, b) vectors respectively represent subscribed information of a user to be recommended and current position related service information, d (a, b) represents actual Euclidean distance between the subscribed information and the position related service information, sim (a, b) represents Euclidean distance value after normalization processing;
service information push for terminal= { Ter by multiple intelligent Terminal software j The customized service information ASInfo= { Asinfo is distributed and broadcast to different users (i) in a diversified mode k -to obtain different service policies:
PushStrategy＝{Terminal∪ASInfo∪User(i)}
wherein Ter j Represents the jth terminal, user (i) represents the ith User, asinfo k Representing the kth service information.
The user identification of different grades is mainly based on similarity comparison between the account number logged in by the user at the terminal and the information stored in the system library, and if the similarity is smaller than a set threshold value, the user is a common user usertype=normal; if the similarity is larger than the set threshold, judging that the user is a VIP user usertype=vip; wherein UserType represents the class category of the user, normal represents the general user category, VIP represents the VIP user category, and the threshold rule is:
The Login represents the accumulated number of days when the user logs in the terminal, the Subscription represents the number of information categories subscribed by the user at the terminal, and the Share represents the number of times when the user recommends the terminal software to the user at hand. The terminal subscribes to information category, namely user interest point information category:
SubscribeType＝{viewpoint,play,delicacy,hotel,trans,recharge,oil}
the method comprises the following steps of taking a viewpoint type, a play type, a delicacy type, a hotel type, a trans type, a charging type, and a vehicle refueling type.
The personalized service information ASInfo (i) carries out similarity analysis based on Euclidean distance mainly according to the identified users with different grades such as common users and VIP users, and recommends and pushes different service information.
Wherein i represents the ith subscribed information and related service information pair, the (x, y) vector represents the subscribed information of the user to be recommended and the current position related service information respectively, d (x, y) represents the actual Euclidean distance between the subscribed information and the position related service information, and sim (x, y) represents the Euclidean distance value after normalization processing.
The personalized service information includes general service information I normal Travel service information I tour Transport service information I trans . For example, for an electric vehicle travel user who subscribes subcribeType (i) = { viewpoint, play, dulcific, hotel, trans, recharge }, weather conditions are provided in a targeted manner, and the current real-time position L of the user is met itxy And pushing tourist attractions along the road section, surrounding food and beverage information and charging pile information. Wherein subcribeType (i) represents the interest point information category of the user i, the viewpoint is a scenic spot type, the play is a play type, the delicacy is a food type, the hotel is a hotel type, the trans is a transportation type, and the recharge is a charging type.
The general service information I normal ＝{I navig ,I mete ,I add Mainly aiming at all travel users UserType= { normal, vip }, including path navigation I navig Meteorological service I mete Value added service I add Wherein UserType represents the user's class category, normal represents the general user category, VIP represents the VIP user category; the path navigation is based on the user position L itxy Traffic information TC of current road section normal And weather conditions, etc., through real-time RNN-based path planningMethod of
Obtaining, wherein t is the current time, deltat is the time length, and the function f T For the constructed GT-RNN network, +.>
Respectively vehicle average speed>
Vehicle road occupancy k s Traffic flow q, (tc) t ,p t ,m t ) Road condition degree tc t Number p of parking difficulty t And weather well degree m t The method comprises the steps of carrying out a first treatment on the surface of the The weather service is based on weather forecast information obtained in real time, and corrects weather forecast information of a road section R= { (start, end) } where a current user is located in real time by using weather information perceived by a weather sensor, a road surface state sensor or a camera in the traveling process of the user, wherein R= { (start, end) } represents the road section, start is the starting position of the road section, and end is the end position of the road section; the value added service is based on destination parking space vacant condition prompts obtained in real time or periodically by the user position, charging pile information of subcribeType (i) = { recharge } users, gas station information of subcribeType (i) = { oil } users and charging station estimated charging information calculated by fixed frequency; where subcribeType (i) denotes the interest point information category of user i, recharge is the charge type, and oil is the vehicle fueling type.
Travel service information I tour Mainly aiming at subcribeType (i) = { viewpoint, play, dulcific, hotel } user, and according to the real-time position L of the user itxy The method and the system provide scenic spot information, leisure culture information, destination travel information, field expansion, traffic convenience, parking space occupation and the like of the current road section along scenic spots, and are convenient for users to quickly experience and save time. The user can select the position of the travel at the terminal according to the intention of the user, and can obtain the service information through a recommendation model algorithm based on the subscribed travel records. Wherein subcribeType (i) represents the interest point information category of user i, view point is the scenic spot type, play is the play typeDelicacy is a food type, hotel is a hotel type.
The transportation service information I trans For subcribeType (i) = { trans } users, path planning and early warning reminding are included; based on real-time position L itxy And current road section speed limit and weight limit threshold= { Threshold speed ,thres weight Providing real-time RNN-based path planning algorithm for transport vehicles
Obtained by a function f T For the constructed GT-RNN network, +.>
Respectively vehicle average speed>
Vehicle road occupancy k s Traffic flow q, (l) t ,c t ,tc t ,m t ) Respectively is a road section speed limit and weight limit threshold value l t Vehicle information c t Road condition degree tc t Weather well degree m t And overspeed > thres in the vehicle speed Or overweight > thres weight And early warning and reminding are carried out. Where subcribeType (i) denotes the interest point information category of user i, trans is the transport type, speed is the vehicle speed, weight is the vehicle weight, thres speed For the transport vehicle speed threshold, thres weight Is the transport vehicle weight threshold.
The information push is used for pushing information by a plurality of intelligent Terminal software terminal= { Ter j }(Ter j Representing the jth terminal) issues and broadcasts customized service information asinfo= { ASInfo to different users (i) (ith User) in a diversified manner k }(Asinfo k Kth service information), i.e., different service policies pushstrategy= { Terminal } U.S. User (i) }.
Example two
The invention also provides a concomitant service providing system based on the user position, which provides personalized service information for different travel users in different modes according to different levels of users, different positions and different events, and comprises the following steps:
a user location identification module for: acquiring real-time position information L of user according to fusion of multiple positioning bases itxy And updating the position of the user in real time or periodically, and simultaneously updating the track information G of the user map (i)＝{L itxy ∪O i ∪I ixy And (i, t, x, y) is sent to a service platform for processing travel data and sampling interpolation storage.
Wherein i identifies the current user, t is the current time, x is the longitude position of the current user i at the current time t, y is the latitude position of the current user i at the current time t, L itxy Representing the real-time position of the current user at the current time t, I ixy Represents the interpolation position of the current user, O i Other location related information representing the current user including velocity v, acceleration a, direction of motion d, heading θ.
The multiple positioning bases comprise Beidou GPS navigation, a vehicle-mounted terminal, a road side intelligent base station and camera video identification; under the condition that a plurality of positioning bases are acquired, weighting different positioning bases based on precision, and taking the received GPS coordinates as main positions (x, y) = (x) gps ,y gps ) When the GPS signal fails, the real-time position L of the current user is obtained according to the rest positioning by applying a filtering fusion algorithm itxy The method comprises the steps of carrying out a first treatment on the surface of the Wherein x is gps GPS longitude coordinate, y gps The coordinate is GPS latitude coordinate, and (x, y) is longitude and latitude coordinate of the current user real-time position.
The traffic management and control service module is used for: acquiring and short-term predicting real-time location information L of a user itxy Corresponding traffic conditions trafficconditions= { TC normal ,TC warn And to the affected domain range ir= { I jw Users in the I (j, w) provide road condition information service and special road section early warning information service; wherein TC is normal Representing traffic information, TC warn Representing special road section early warning information, j is longitude of each position in the affected road area, w is latitude of each position in the affected road area, I jw Representing locations within the affected area.
The road condition information TC normal The road condition information comprises the average speed of the vehicle according to the video identification of the cameras of the whole user travel area section or the active reporting mode of the surrounding users
Traffic flow q, vehicle road occupancy k s Wherein t is the current time; while being based on the current user real-time location L itxy RVM-based road condition prediction model is constructed
Providing short-term road condition prediction information.
The special road section early warning information service is provided specifically when the user is judged to be in the special road section L itxy ∈Rs se When the vehicle-mounted intelligent braking system is used, the platform issues special road section early warning information to a user through the variable information board and emergency broadcasting, and meanwhile, the vehicle-mounted terminal and the mobile phone terminal are used for carrying out personalized braking or slow-running early warning in time; wherein Rs is se = { (sstart, send) } represents the special road segment, sstart is the start position of the special road segment, send is the end position of the special road segment; wherein the special road segment Rs is identified by camera video se Or after the weather/road surface detector detects the weather condition of the road surface, the weather condition of the road surface is sent to the nearby intelligent base station on the road side, and the intelligent base station on the road side identifies the special section Rs se 。
Wherein, aiming at the special road section early warning information service, when the emergency event is judged to occur and the position is at the current user real-time position L by the intelligent road side base station and the camera video identification or the user active reporting mode itxy When the platform is in front of the road domain, the platform judges the influence road domain range Ir= { I according to the information reported by the user jw I (j, w), and provides duration of the affected road condition, accident specific information to all vehicles v= { V within the affected range ixy (x, y) e Ir, where the above indicates that the location (x, y) where user i is located is contained within the road domain range Ir, V ixy Is a vehicle within the influence of a road domain; flat plateThe station judges if the vehicle does not enter the road section
Indicating that the location (x, y) of the user is not included in the road domain range Ir, (x, y)<The minIr indicates that the position (x, y) of the user is smaller than all longitude and latitude positions in the Ir, namely, the user vehicle does not enter a road section yet, and bypass prompt information is sent; if the vehicle is already located in the road area impact range v= { V ixy I (x, y) epsilon Ir), prompting the user to timely perform early warning of braking or slowing down; aiming at the users who prepare the traveler and do not enter the road section V', the platform re-plans the navigation path according to the position and the travel destination of the users, and guides the driver to drive away from the event-occurring road section in advance.
The accompanying information service module is used for: userType of different grades according to terminal identification i Real-time location information L of a user itxy Acquiring customized 'before trip', 'during trip' and 'after trip' full-flow accurate accompanying service information aiming at different levels of users at different positions, and providing personalized service information ASInfo (I) = { I for the users normal ,I tour ,I trans -a }; where i represents the current user, userType i Representing the rank of user I, I normal Representing general service information, I tour Representing travel service information, I trans The transport service information is represented, and the ASInfo (i) represents the concomitant service information of the user i.
The personalized service information ASInfo (i) is mainly used for carrying out similarity analysis based on Euclidean distance according to the identified users of different grades, recommending and pushing different service information.
Wherein c represents a c-th subscribed information and related service information pair, the (a, b) vector represents subscribed information of the user to be recommended and current position related service information respectively, d (a, b) represents actual Euclidean distance of the subscribed information and the position related service information, sim (a, b) represents Euclidean distance value after normalization processing.
Service information push for terminal= { Ter by multiple intelligent Terminal software j The customized service information ASInfo= { Asinfo is distributed and broadcast to different users (i) in a diversified mode k -to obtain different service policies:
PushStrategy＝{Terminal∪ASInfo∪User(i)}
wherein Ter j Represents the jth terminal, user (i) represents the ith User, asinfo k Representing the kth service information.
The personalized companion service module comprises a general service sub-module, a travel service sub-module and a transportation service sub-module, wherein:
the general service sub-module is used for aiming at all travel users, namely usertype= { normal, VIP }, and comprises path navigation, weather service and value added service, wherein UserType represents the class of the user, normal represents the class of the common user, and VIP represents the class of the VIP user; the path navigation is based on the user position L itxy Traffic information TC of current road section normal Weather conditions, etc., by real-time RNN-based path planning algorithm GT-RNN (Vt) =f T (
,k s ,q,tc t ,p t ,m t ) Obtaining, wherein t is the current time, deltat is the time length, and the function f T For the construction of the GT-RNN network, (-)>
,k s Q) are the average speed of the vehicle, respectively>
Road occupancy k of vehicle s Traffic flow q, (tc) t ,p t ,m t ) Road condition degree tc t Number p of parking difficulty t And weather well degree m t The method comprises the steps of carrying out a first treatment on the surface of the The weather service is based on weather forecast information obtained in real time, and corrects weather forecast information of a road section R= { (start, end) } where a current user is located in real time by using weather information perceived by a weather sensor, a road surface state sensor or a camera in the traveling process of the user, wherein R= { (start, end) } represents the road section, start is the starting position of the road section, and end is the end position of the road section; the value added service is based on destination parking space vacant condition prompts obtained in real time or periodically by the user position, charging pile information of subcribeType (i) = { recharge } users, gas station information of subcribeType (i) = { oil } users and charging station estimated charging information calculated by fixed frequency. Where subcribeType (i) denotes the interest point information category of user i, recharge is the charge type, and oil is the vehicle fueling type.
A travel service sub-module for subcribeType (i) = { viewpoint, play, dulcific, hotel } user according to the user real-time position L itxy And pushing the along-way food sink and travel information interested by the user for the user, wherein the pushed along-way food sink and travel information are sequentially output from high to low according to the proximity degree of the pushed along-way food sink and travel information to the interest point of the user, and information labeling is carried out on whether the user travels past the scenic spot. Wherein subcribeType (i) represents the interest point information category of the user i, the viewpoint is a scenic spot type, the play is a play type, the delicacy is a food type, and the hotel is a hotel type.
A transport service sub-module for subcribeType (i) = { trans } user based on real-time location L itxy And current road section speed limit and weight limit threshold= { Threshold speed ,thres weight The situation of providing real-time RNN-based path planning algorithm service for transport vehicles and overspeed > thres in the vehicles speed Or overweight > thres weight And early warning and reminding are carried out. Where subcribeType (i) denotes the interest point information category of user i, trans is the transport type, speed is the vehicle speed, weight is the vehicle weight, thres speed Is a transport vehicleThreshold vehicle speed, thres weight Is the transport vehicle weight threshold.
It is to be understood that the embodiments described herein may be implemented by hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), processors, controllers, micro-controllers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof. When the embodiments are implemented in software, firmware, middleware or microcode, program code or code segments, they can be stored in a machine-readable medium, such as a storage component.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (4)
1. A concomitant service providing method based on user position includes the following steps:
Step S101, user location identification, specifically including: according to various positioning referencesFusion acquisition of real-time location information L of user itxy And updating the position of the user in real time or periodically, and simultaneously updating the track information G of the user map (i)＝{L itxy ∪O i ∪I ixy The I (i, t, x, y) is sent to a service platform for processing travel data and sampling interpolation storage, and a track information data set is data of an identification position with time characteristics in a certain space range of a user and is used for traffic control, accompanying service strategy generation and distribution range and timeliness determination;
wherein i identifies the current user, t is the current time, x is the longitude position of the current user i at the current time t, y is the latitude position of the current user i at the current time t, L itxy Representing the real-time position of the current user at the current time t, I ixy Represents the interpolation position of the current user, O i Representing other position related information of the current user, wherein the other position related information comprises a speed v, an acceleration a, a movement direction d and a heading theta;
the multiple positioning bases comprise Beidou GPS navigation, a vehicle-mounted terminal, a road side intelligent base station and camera video identification; under the condition that a plurality of positioning bases are acquired, weighting different positioning bases based on precision, and taking the received GPS coordinates as main positions (x, y) = (x) gps ,y gps ) When the GPS signal fails, the real-time position L of the current user is obtained according to the rest positioning by applying a filtering fusion algorithm itxy The method comprises the steps of carrying out a first treatment on the surface of the Wherein x is gps GPS longitude coordinate, y gps The GPS latitude coordinate is (x, y) the longitude and latitude coordinate of the current user real-time position;
step S102, traffic control service, specifically comprising: acquiring and short-term predicting real-time location information L of a user itxy Corresponding traffic conditions trafficconditions= { TC normal ,TC warn And to the affected domain range ir= { I jw Users in the I (j, w) provide road condition information service and special road section early warning information service; wherein TC is normal Representing traffic information, TC warn Representing special road section early warning information, j being longitude of each position in the affected road area, w being latitude of each position in the affected road area，I jw Representing locations within the affected area;
the road condition information TC normal The road condition information comprises the average speed of the vehicle according to the video identification of the cameras of the whole user travel area section or the active reporting mode of the surrounding users
Traffic flow q, vehicle road occupancy k s Wherein t is the current time; while being based on the current user real-time location L itxy RVM-based road condition prediction model is constructed
Providing short-term road condition prediction information;
the special road section early warning information service is provided specifically when the user is judged to be in the special road section L itxy ∈Rs se When the vehicle-mounted intelligent braking system is used, the platform issues special road section early warning information to a user through the variable information board and emergency broadcasting, and meanwhile, the vehicle-mounted terminal and the mobile phone terminal are used for carrying out personalized braking or slow-running early warning in time; wherein Rs is se = { (sstart, send) } represents the special road segment, sstart is the start position of the special road segment, send is the end position of the special road segment; wherein the special road segment Rs is identified by camera video se Or after the weather/road surface detector detects the weather condition of the road surface, the weather condition of the road surface is sent to the nearby intelligent base station on the road side, and the intelligent base station on the road side identifies the special section Rs se ；
Wherein, aiming at the special road section early warning information service, when the emergency event is judged to occur and the position is at the current user real-time position L by the intelligent road side base station and the camera video identification or the user active reporting mode itxy When the platform is in front of the road domain, the platform judges the influence road domain range Ir= { I according to the information reported by the user jw I (j, w), and provides duration of the affected road condition, accident specific information to all vehicles v= { V within the affected range ixy (x, y) e Ir, where the above indicates that the location (x, y) where user i is located is contained within the scope of the road domainIr in V ixy Is a vehicle within the influence of a road domain; the platform judges if the vehicle does not enter the road section
Indicating that the location (x, y) of the user is not included in the road domain range Ir, (x, y)<The minIr indicates that the position (x, y) of the user is smaller than all longitude and latitude positions in the Ir, namely, the user vehicle does not enter a road section yet, and bypass prompt information is sent; if the vehicle is already located in the road area impact range v= { V ixy I (x, y) epsilon Ir), prompting the user to timely perform early warning of braking or slowing down; aiming at a user who prepares a traveler and does not enter the road section V', the platform re-plans a navigation path according to the position and the travel destination of the user, and guides the driver to drive away from the event-occurring road section in advance;
step S103, the companion-type information service specifically includes: userType of different grades according to terminal identification i Real-time location information L of a user itxy Acquiring customized 'before trip', 'during trip' and 'after trip' full-flow accurate accompanying service information aiming at different levels of users at different positions, and providing personalized service information ASInfo (I) = { I for the users normal ,I tour ,I trans -a }; where i represents the current user, userType i Representing the rank of user I, I normal Representing general service information, I tour Representing travel service information, I trans Transport service information, ASInfo (i) is concomitant service information of user i;
wherein, the personalized service information ASInfo (i) mainly carries out similarity analysis based on Euclidean distance according to the identified users with different grades, and recommends and pushes different service information;
wherein c represents a c-th subscribed information and related service information pair, (a, b) vectors respectively represent subscribed information of a user to be recommended and current position related service information, d (a, b) represents actual Euclidean distance between the subscribed information and the position related service information, sim (a, b) represents Euclidean distance value after normalization processing;
service information push for terminal= { Ter by multiple intelligent Terminal software j The customized service information ASInfo= { Asinfo is distributed and broadcast to different users (i) in a diversified mode k -to obtain different service policies:
PushStrategy＝{Terminal∪ASInfo∪User(i)}
wherein Ter j Represents the jth terminal, user (i) represents the ith User, asinfo k Represents kth service information;
the short-term road condition prediction information is provided by adopting the following modes: calculating the average speed of the vehicle according to the current time information
Inputting the density and the traffic flow q into an RVM model for prediction and solving; wherein all vehicles upload speed v via GPS based on current road segment R at current time t h Information, calculating the average speed of the road section interval as +.>
In->
Mean speed of vehicle in road section, v h The position speed of the h vehicle, and n is the number of observed vehicles; calculating the vehicle density to be replaced by the vehicle road occupancy +.>
K in s Representing occupancy in space, L is total time of detected road section, L h The vehicle length of the h vehicle is represented by n, and the number of vehicles passing through the detection road section in the observation time; calculating traffic volume->
The user identification of different grades is compared with the information stored in the system library according to the account number of the user logged in by the terminal, and if the similarity is smaller than a set threshold value, the user is a common user usertype=normal; if the similarity is larger than the set threshold, judging that the user is a VIP user usertype=vip; wherein UserType represents the class category of the user, normal represents the general user category, VIP represents the VIP user category, and the threshold rule is:
the Login represents the accumulated number of days for the user to log in the terminal, the subscript represents the information category number subscribed by the user at the terminal, and the Share represents the number of times for the user to recommend the terminal software to the user at the edge; the user interest point information categories are:
SubscribeType＝{viewpoint,play,delicacy,hotel,trans,recharge,oil}
the method comprises the following steps of taking a viewpoint type, a play type, a delicacy type, a hotel type, a trans type, a charging type, and a vehicle refueling type.
2. A companion service providing system based on user location, the system comprising:
a user location identification module for: acquiring real-time position information L of user according to fusion of multiple positioning bases itxy And updating the position of the user in real time or periodically, and simultaneously updating the track information G of the user map (i)＝{L itxy ∪O i ∪I ixy The I (i, t, x, y) is sent to a service platform for processing travel data and sampling interpolation storage, and a track information data set is data of an identification position with time characteristics in a certain space range of a user and is used for traffic control, accompanying service strategy generation and distribution range and timeliness determination;
wherein i identifies the current user, t is the current time, x is the longitude position of the current user i at the current time t, y is the latitude position of the current user i at the current time t, L itxy Representing the real-time position of the current user at the current time t, I ixy Represents the interpolation position of the current user, O i Representing other position related information of the current user, wherein the other position related information comprises a speed v, an acceleration a, a movement direction d and a heading theta;
the multiple positioning bases comprise Beidou GPS navigation, a vehicle-mounted terminal, a road side intelligent base station and camera video identification; under the condition that a plurality of positioning bases are acquired, weighting different positioning bases based on precision, and taking the received GPS coordinates as main positions (x, y) = (x) gps ,y gps ) When the GPS signal fails, the real-time position L of the current user is obtained according to the rest positioning by applying a filtering fusion algorithm itxy The method comprises the steps of carrying out a first treatment on the surface of the Wherein x is gps GPS longitude coordinate, y gps The GPS latitude coordinate is (x, y) the longitude and latitude coordinate of the current user real-time position;
the traffic management and control service module is used for: acquiring and short-term predicting real-time location information L of a user itxy Corresponding traffic conditions trafficconditions= { TC normal ,TC warn And to the affected domain range ir= { I jw Users in the I (j, w) provide road condition information service and special road section early warning information service; wherein TC is normal Representing traffic information, TC warn Representing special road section early warning information, j is longitude of each position in the affected road area, w is latitude of each position in the affected road area, I jw Representing locations within the affected area;
the road condition information TC normal Camera video identification according to user trip global road sectionOther or surrounding users can actively report the road condition information, including the average speed of the vehicle
Traffic flow q, vehicle road occupancy k s Wherein t is the current time; while being based on the current user real-time location L itxy RVM-based road condition prediction model is constructed
Providing short-term road condition prediction information;
the special road section early warning information service is provided specifically when the user is judged to be in the special road section L itxy ∈Rs se When the vehicle-mounted intelligent braking system is used, the platform issues special road section early warning information to a user through the variable information board and emergency broadcasting, and meanwhile, the vehicle-mounted terminal and the mobile phone terminal are used for carrying out personalized braking or slow-running early warning in time; wherein Rs is se = { (sstart, send) } represents the special road segment, sstart is the start position of the special road segment, send is the end position of the special road segment; wherein the special road segment Rs is identified by camera video se Or after the weather/road surface detector detects the weather condition of the road surface, the weather condition of the road surface is sent to the nearby intelligent base station on the road side, and the intelligent base station on the road side identifies the special section Rs se ；
Wherein, aiming at the special road section early warning information service, when the emergency event is judged to occur and the position is at the current user real-time position L by the intelligent road side base station and the camera video identification or the user active reporting mode itxy When the platform is in front of the road domain, the platform judges the influence road domain range Ir= { I according to the information reported by the user jw I (j, w), and provides duration of the affected road condition, accident specific information to all vehicles v= { V within the affected range ixy (x, y) e Ir, where the above indicates that the location (x, y) where user i is located is contained within the road domain range Ir, V ixy Is a vehicle within the influence of a road domain; the platform judges if the vehicle does not enter the road section
Indicating that the location (x, y) of the user is not included in the road domain range Ir, (x, y)<The minIr indicates that the position (x, y) of the user is smaller than all longitude and latitude positions in the Ir, namely, the user vehicle does not enter a road section yet, and bypass prompt information is sent; if the vehicle is already located in the road area impact range v= { V ixy I (x, y) epsilon Ir), prompting the user to timely perform early warning of braking or slowing down; aiming at a user who prepares a traveler and does not enter the road section V', the platform re-plans a navigation path according to the position and the travel destination of the user, and guides the driver to drive away from the event-occurring road section in advance;
the accompanying information service module is used for: userType of different grades according to terminal identification i Real-time location information L of a user itxy Acquiring customized 'before trip', 'during trip' and 'after trip' full-flow accurate accompanying service information aiming at different levels of users at different positions, and providing personalized service information ASInfo (I) = { I for the users normal ,I tour ,I trans -a }; where i represents the current user, userType i Representing the rank of user I, I normal Representing general service information, I tour Representing travel service information, I trans Transport service information, ASInfo (i) is concomitant service information of user i;
wherein, the personalized service information ASInfo (i) mainly carries out similarity analysis based on Euclidean distance according to the identified users with different grades, and recommends and pushes different service information;
wherein c represents a c-th subscribed information and related service information pair, (a, b) vectors respectively represent subscribed information of a user to be recommended and current position related service information, d (a, b) represents actual Euclidean distance between the subscribed information and the position related service information, sim (a, b) represents Euclidean distance value after normalization processing;
service information push for terminal= { Ter by multiple intelligent Terminal software j The customized service information ASInfo= { Asinfo is distributed and broadcast to different users (i) in a diversified mode k -to obtain different service policies:
PushStrategy＝{Terminal∪ASInfo∪User(i)}
wherein Ter j Represents the jth terminal, user (i) represents the ith User, asinfo k Represents kth service information;
the short-term road condition prediction information is provided by adopting the following modes: calculating the average speed of the vehicle according to the current time information
Inputting the density and the traffic flow q into an RVM model for prediction and solving; wherein all vehicles upload speed v via GPS based on current road segment R at current time t h Information, calculating the average speed of the road section interval as +.>
In->
Mean speed of vehicle in road section, v h The position speed of the h vehicle, and n is the number of observed vehicles; calculating the vehicle density to be replaced by the vehicle road occupancy +.>
K in s Representing occupancy in space, L is total time of detected road section, L h Length of the h vehicleN represents the number of vehicles passing through the detected road section in the observation time; calculating traffic volume->
The user identification of different grades is compared with the information stored in the system library according to the account number of the user logged in by the terminal, and if the similarity is smaller than a set threshold value, the user is a common user usertype=normal; if the similarity is larger than the set threshold, judging that the user is a VIP user usertype=vip; wherein UserType represents the class category of the user, normal represents the general user category, VIP represents the VIP user category, and the threshold rule is:
the Login represents the accumulated number of days for the user to log in the terminal, the subscript represents the information category number subscribed by the user at the terminal, and the Share represents the number of times for the user to recommend the terminal software to the user at the edge; the user interest point information categories are:
SubscribeType＝{viewpoint,play,delicacy,hotel,trans,recharge,oil}
the method comprises the following steps of taking a viewpoint type, a play type, a delicacy type, a hotel type, a trans type, a charging type, and a vehicle refueling type.
3. A user location based companion service providing device comprising a processor and a memory, wherein the memory has stored thereon a computer program, characterized in that the program when executed by the processor implements the steps of the method of claim 1.
4. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the method of claim 1.
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