CN107490385A - Traffic path planing method and its device - Google Patents

Traffic path planing method and its device Download PDF

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Publication number
CN107490385A
CN107490385A CN201710720030.3A CN201710720030A CN107490385A CN 107490385 A CN107490385 A CN 107490385A CN 201710720030 A CN201710720030 A CN 201710720030A CN 107490385 A CN107490385 A CN 107490385A
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China
Prior art keywords
information
user
interest
point
trip
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CN201710720030.3A
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Chinese (zh)
Inventor
翟莉莉
马秉桥
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Baidu Online Network Technology Beijing Co Ltd
Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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Priority to CN201710720030.3A priority Critical patent/CN107490385A/en
Publication of CN107490385A publication Critical patent/CN107490385A/en
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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

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Navigation (AREA)

Abstract

This application discloses a kind of traffic path planing method and its device, the traffic path planing method includes:According to the user of user portrait information and the point of interest portrait information of each trip point of interest, recommend interest point set of going on a journey for user;Wherein, user's portrait information is generated by excavating the user data of user, and the related data that point of interest portrait information passes through point of interest of being gone on a journey corresponding to excavation generates;Some trip points of interest of destination are determined as according to trip interest point set;According to the preposition typing information of each destination, travel route planning.The technical scheme provided according to the embodiment of the present application, after some trip points of interest for determining destination, traffic path is determined according to the preposition typing information of each destination, can solve the problem that the problem of Consumer's Experience that determination trip destination and route are brought respectively in the prior art is low.

Description

Traffic path planing method and its device
Technical field
The disclosure relates generally to field of computer technology, more particularly to a kind of traffic path planing method and its device.
Background technology
In existing mobile device or tourism/map class APP, for user's request of going on a journey:Selection trip destination-pre- Order and navigated in stroke-row, user needs the handover operation between more APP to realize.And most APP only supports to select In the user's request on trip purpose ground, rational traffic path programme is not provided.
The content of the invention
In view of drawbacks described above of the prior art or deficiency, it is expected to provide a kind of combined destination selection and route planning Traffic path planing method and its device.
In a first aspect, the application provides a kind of traffic path planing method, method includes:
According to the user of user portrait information and the point of interest portrait information of each trip point of interest, gone on a journey for user's recommendation emerging Interesting point set;Wherein, user's portrait information is generated by excavating the user data of user, and point of interest portrait information passes through excavation pair The related data generation for the trip point of interest answered;
Some trip points of interest of destination are determined as according to trip interest point set;
According to the preposition typing information of each destination, travel route planning.
Second aspect, the application provide a kind of traffic path device for planning, including:
Recommendation unit:It is user according to the user of user portrait information and the point of interest portrait information of each trip point of interest Recommend trip interest point set;Wherein, user's portrait information is generated by excavating the user data of user, point of interest portrait information Generated by the related data for point of interest of being gone on a journey corresponding to excavation;
Determining unit:It is configured to be determined as some trip points of interest of destination according to trip interest point set;
Route planning unit:The preposition typing information according to each destination is configured to, determines traffic path.
The third aspect, the application provide a kind of equipment, and equipment includes:
One or more processors;
Memory, for storing one or more programs,
When one or more programs are executed by one or more processors so that one or more processors perform each reality The traffic path planing method of example offer is provided.
Fourth aspect, the application also provide a kind of computer-readable recording medium for being stored with computer program,
The program realizes the traffic path planing method that each embodiment provides when being executed by processor.
According to the technical scheme of the embodiment of the present application offer, after some trip points of interest for determining destination, according to each mesh The preposition typing information on ground determine traffic path, can solve the problem that and determine that trip destination and route are brought respectively in the prior art Consumer's Experience it is low the problem of.Further, according to some embodiments of the application, by decision-making assistant information, to each road Line is assessed, and chooses optimal route, can solve the problems, such as that the accuracy rate of prior art route planning is low, improves route rule The accuracy drawn.
Brief description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, the application's is other Feature, objects and advantages will become more apparent upon:
Fig. 1 shows the exemplary system architecture that can apply the embodiment of the present application;
Fig. 2 shows the exemplary process diagram of the traffic path planing method according to the embodiment of the present application;
Fig. 3 shows the exemplary process diagram of step S13 planing method;
Fig. 4 shows step S22 optimal route choosing method exemplary process diagram;
Fig. 5 shows step S11 matching process exemplary process diagram;
Fig. 6 shows step S41 matching process illustrative diagram;
Fig. 7 shows the illustrative diagram of the traffic path device for planning according to the application one embodiment;
Fig. 8 shows a kind of structural representation of the equipment provided according to the embodiment of the present application.
Embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to It is easy to describe, the part related to invention is illustrate only in accompanying drawing.
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the application can phase Mutually combination.Describe the application in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows the exemplary system architecture 100 that can apply the embodiment of the present application.
As shown in figure 1, system architecture 100 can be including terminal device 101,102, network 103 and server 104.Network 103 between terminal device 101,102 and server 104 provide communication link medium.Network 103 can include various Connection type, such as wired, wireless communication link or fiber optic cables etc..
User 110 can be interacted with using terminal equipment 101,102 by network 103 with server 104, to receive or send out Send message etc..
Terminal device 101,102 can be various electronic equipments, including but not limited to PC, smart mobile phone, intelligence Wrist-watch, tablet personal computer, personal digital assistant etc..
Server 104 can be to provide the server of various services.Server can be stored to the data received, The processing such as analysis, and result is fed back into terminal device.
It should be noted that the traffic path planing method that is provided of the embodiment of the present application can be by server 104 Perform.In certain embodiments, traffic path planing method can be planned in server 104, terminal device 101,102 The APP for receiving the interactive operation of user is installed.
It should be understood that the number of the terminal device, network and server in Fig. 1 is only schematical.According to realizing need Will, can have any number of terminal device, network and server.
With reference to figure 2, it illustrates the exemplary process diagram of the traffic path planing method according to the application one embodiment. Performed on the server that method shown in Fig. 2 can be in Fig. 1.
As shown in Fig. 2 in the present embodiment, traffic path planing method provided by the invention includes:
Step S11:According to the user of user portrait information and each trip point of interest (POI points, POI: Point of Interest point of interest portrait information), recommends trip interest point set for user;Wherein, user's portrait information passes through excavation The user data generation of user, point of interest portrait information are generated by the related data for point of interest of being gone on a journey corresponding to excavation;
Step S12 is determined as some trip points of interest of destination according to trip interest point set;
Step S13 is according to the preposition typing information of each destination, travel route planning.
In step s 11, the information and the/user profile collected inputted according to user, extraction are related to trip User profile, structure user's portrait;And the information related to trip, structure are extracted in original interest point information from collecting or utilizing Build point of interest portrait.According to user portrait information and the point of interest portrait information of each trip point of interest, recommend to user some Trip point of interest.
In step s 12, trip mesh can be determined by the judgement or selection of recommendation trip point of interest of the user to step S11 Ground.Or determination of the trip purpose ground from other approach of user, now, it can directly receive user's input or selection Destination information.Specifically, receive whether user receives above-mentioned recommendation results, preserved if receiving as trip purpose, if Do not receive, the selection or change of user will be received, the trip point of interest of renewal as trip purpose is preserved, to enter Row route planning.
In step s 13, according to the preposition typing information of the destination determined in step S12, traffic path is calculated.Its In, the preposition typing information has been entered into system before route planning is carried out.The preposition typing information is with including core Positional information and decision-making assistant information are managed, the core geographical location information is the actual geographic positional information of point of interest, such as through Latitude information, vehicle information.The decision-making assistant information is non-actual geographic positional information.
Preferably, decision-making assistant information is included at least such as the next item down:It is adapted to temporal information of playing, duration information of playing, opens Put temporal information, vehicle information, road condition predicting data, prediction flow of the people data.
Then, Fig. 3 shows the exemplary process diagram of step S13 planing method, and step S13 includes:
Step S21:If the main line for including each destination is calculated according at least one of following information:Believe in core geographical position Breath, user's current location information, user specify starting point;
Step S22:According to decision-making assistant information, each route is assessed, chooses optimal route.
In the step s 21, can be according to core geography position when no user current location information and user specify origin information Confidence ceases, and calculates some routes.Specifically, can be calculated by short time, few walking, few transfer, short-circuit journey scheduling algorithm some Traffic path, and provide possible time of playing, starting point of interest and terminate point of interest.When with user current location information or use When starting point is specified as starting point of interest in family, under conditions of starting point is had determined that, the short time comprising each destination, few step are calculated Row, few transfer, some traffic paths of short-circuit journey scheduling algorithm.
In step S22, some routes generated according to decision-making assistant information to step S21 carry out route assessment, choose Optimal route.
Fig. 4 shows step S22 optimal route choosing method exemplary process diagram, and step S22 includes:
Step S31:The weighted value of the decision-making assistant information of each route is calculated respectively, and according to each weighted value, is selected optimal Route, each decision-making assistant information are configured with corresponding weight.
In step S31, the weighted value of the decision-making assistant information of some routes generated in S21 is calculated.Specifically, configure The weight of each subitem in decision-making assistant information, and judge the subitem for the decision-making assistant information that each route is met, by its weight Value carries out being added the weighted value for obtaining the route.The maximum route of weighted value can be used as optimal route.The son of decision-making assistant information Item is included at least such as the next item down:It is adapted to temporal information of playing, duration information of playing, open hour information, vehicle information, road Condition prediction data, prediction flow of the people data.The configuration of the subitem of decision-making assistant information can be carried out according to actual conditions.
Fig. 5 shows step S11 matching process exemplary process diagram, and step S11 includes:
The trip point of interest for determining to match with user's portrait by following at least one algorithm:Popularity proposed algorithm, association Same filter algorithm, content-based recommendation algorithm;Wherein, user draws a portrait information including at least such as the next item down:Ascribed characteristics of population information, Interest preference information, positional information, user's Tourism Attribute information;Interest point information of going on a journey is included at least such as the next item down:Contingency table Sign information, base attribute information, traffic attribute information, Tourism Attribute information.
Specifically, Fig. 6 is refer to, shows step S41 matching process illustrative diagram.As illustrated, the left side is User's portrait information, the right are point of interest portrait information, and each information of drawing a portrait includes respective some characterization informations respectively, This feature description information is used for each characteristic feature for describing different user or point of interest.And described based on features described above, use One or more matching algorithms, point of interest is matched to user's portrait.The matching algorithm includes collaborative filtering method, based on content Recommendation method, popularity recommendation method etc..
Fig. 7 shows the illustrative diagram of the traffic path device for planning 200 according to the application one embodiment, such as schemes Shown, the device includes:
Recommendation unit 210:According to the user of user draw a portrait information and it is each trip point of interest point of interest draw a portrait information, for Recommend trip interest point set in family;Wherein, user's portrait information is generated by excavating the user data of user, point of interest portrait letter Breath is generated by excavating the related data of corresponding trip point of interest;
Determining unit 220:It is configured to be determined as some trip points of interest of destination according to trip interest point set;
Route planning unit 230:The preposition typing information according to each destination is configured to, determines traffic path.
Traffic path device for planning 200 shown in Fig. 7 can correspond to the traffic path planing method performed shown in Fig. 2.
Preferably, preposition typing information includes core geographical location information and decision-making assistant information, route planning unit 230 Including:
Route calculation unit 231:If it is configured to calculate the main line for including each destination according at least one of following information Road:Core geographical location information, user's current location information, user specify starting point;
Optimal route determining unit 232:It is configured to according to decision-making assistant information, each route is assessed, chooses most Major path.
Route planning unit 230 shown in Fig. 7 can correspond to the planing method for performing the step S13 shown in Fig. 2.
In some preferred embodiments, optimal route determining unit includes:
Weighted value computing unit 233:It is configured to calculate the weighted value of the decision-making assistant information of each route respectively, and according to Each weighted value, selects optimal route, and each decision-making assistant information is configured with corresponding weight.
Preferably, decision-making assistant information is included at least such as the next item down:It is adapted to temporal information of playing, duration information of playing, opens Put temporal information, vehicle information, road condition predicting data, prediction flow of the people data.
In some preferred embodiments, recommendation unit 210 also includes:
Matching unit 211:It is configured to the trip interest that following at least one algorithm determines to match with user's portrait Point:Popularity proposed algorithm, collaborative filtering, content-based recommendation algorithm;Wherein, user draws a portrait information including at least such as The next item down:Ascribed characteristics of population information, interest preference information, positional information, user's Tourism Attribute information;Trip interest point information includes At least such as the next item down:Tag along sort information, base attribute information, traffic attribute information, Tourism Attribute information.
Fig. 8 shows a kind of structural representation of the equipment provided according to the embodiment of the present application.
As shown in figure 8, as on the other hand, present invention also provides a kind of equipment 300, including one or more centres Unit (CPU) 301 is managed, it can add according to the program being stored in read-only storage (ROM) 302 or from storage part 308 The program that is downloaded in random access storage device (RAM) 303 and perform various appropriate actions and processing.In RAM 303, also It is stored with system 300 and operates required various programs and data.CPU 301, ROM 302 and RAM 303 pass through bus 304 It is connected with each other.Input/output (I/O) interface 305 is also connected to bus 304.
I/O interfaces 305 are connected to lower component:Importation 306 including keyboard, mouse etc.;Penetrated including such as negative electrode The output par, c 307 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.;Storage part 308 including hard disk etc.; And the communications portion 309 of the NIC including LAN card, modem etc..Communications portion 309 via such as because The network of spy's net performs communication process.Driver 310 is also according to needing to be connected to I/O interfaces 305.Detachable media 311, it is all Such as disk, CD, magneto-optic disk, semiconductor memory, it is arranged on as needed on driver 310, in order to read from it The computer program gone out is mounted into storage part 308 as needed.
Especially, in accordance with an embodiment of the present disclosure, it may be implemented as computer software above with reference to the process of Fig. 2 descriptions Program.For example, embodiment of the disclosure includes a kind of computer program product, it includes being tangibly embodied in machine readable media On computer program, computer program, which includes, to be used to perform the program code of traffic path planing method.In such implementation In example, the computer program can be downloaded and installed by communications portion 309 from network, and/or from detachable media 311 It is mounted.
Flow chart and block diagram in accompanying drawing, it is illustrated that according to the system of various embodiments of the invention, method and computer journey Architectural framework in the cards, function and the operation of sequence product.At this point, each square frame in flow chart or block diagram can generation The part of one module of table, program segment or code, a part for the module, program segment or code include one or more For realizing the executable instruction of defined logic function.It should also be noted that some as replace realization in, institute in square frame The function of mark can also be with different from the order marked in accompanying drawing generation.For example, two square frames succeedingly represented are actual On can perform substantially in parallel, they can also be performed in the opposite order sometimes, and this is depending on involved function.Also It is noted that the combination of each square frame and block diagram in block diagram and/or flow chart and/or the square frame in flow chart, Ke Yiyong Function as defined in execution or the special hardware based system of operation are realized, or can be referred to specialized hardware and computer The combination of order is realized.
As another aspect, present invention also provides a kind of computer-readable recording medium, the computer-readable storage medium Matter can be the computer-readable recording medium included in device described in above-described embodiment;Can also be individualism, not The computer-readable recording medium being fitted into equipment.Computer-readable recording medium storage has one or more than one journey Sequence, described program are used for performing the traffic path planing method for being described in the application by one or more than one processor.
Flow chart and block diagram in accompanying drawing, it is illustrated that according to the system of various embodiments of the invention, method and computer journey Architectural framework in the cards, function and the operation of sequence product.At this point, each square frame in flow chart or block diagram can generation The part of one module of table, program segment or code, the part of the module, program segment or code include one or more use In the executable instruction of logic function as defined in realization.It should also be noted that marked at some as in the realization replaced in square frame The function of note can also be with different from the order marked in accompanying drawing generation.For example, two square frames succeedingly represented are actually It can perform substantially in parallel, they can also be performed in the opposite order sometimes, and this is depending on involved function.Also It is noted that the combination of each square frame and block diagram in block diagram and/or flow chart and/or the square frame in flow chart, Ke Yitong Function as defined in execution or the special hardware based system of operation are crossed to realize, or can be by specialized hardware with calculating The combination of machine instruction is realized.
Being described in unit or module involved in the embodiment of the present application can be realized by way of software, can also Realized by way of hardware.Described unit or module can also be set within a processor, for example, each unit can With the software program being provided in computer or intelligent movable equipment or the hardware unit being separately configured.Wherein, this The title of a little units or module does not form the restriction to the unit or module in itself under certain conditions.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.People in the art Member should be appreciated that invention scope involved in the application, however it is not limited to the technology that the particular combination of above-mentioned technical characteristic forms Scheme, while should also cover in the case where not departing from the inventive concept, carried out by above-mentioned technical characteristic or its equivalent feature The other technical schemes for being combined and being formed.Such as features described above has similar work(with (but not limited to) disclosed herein The technical scheme that the technical characteristic of energy is replaced mutually and formed.

Claims (12)

1. a kind of traffic path planing method, it is characterised in that methods described includes:
According to the user of user portrait information and the point of interest portrait information of each trip point of interest, gone on a journey for user recommendation emerging Interesting point set;Wherein, user's portrait information is generated by excavating the user data of the user, the point of interest portrait letter Breath is generated by excavating the related data of corresponding trip point of interest;
Some trip points of interest of destination are determined as according to the trip interest point set;
According to the preposition typing information of each destination, travel route planning.
2. according to the method for claim 1, it is characterised in that the preposition typing information includes core geographical location information And decision-making assistant information, the preposition typing information according to each destination, travel route planning include:
If the main line for including each destination is calculated according at least one of following information:The core geographical location information, user Current location information, user specify starting point;
According to the decision-making assistant information, each route is assessed, chooses optimal route.
3. according to the method for claim 2, it is characterised in that it is described according to the decision-making assistant information, to each road Line is assessed, and choosing optimal route includes:
The weighted value of the decision-making assistant information of each route is calculated respectively, and according to each weighted value, selects optimal route, each institute State decision-making assistant information and be configured with corresponding weight.
4. according to the method for claim 3, it is characterised in that
The decision-making assistant information is included at least such as the next item down:It is adapted to temporal information of playing, duration information of playing, open hour letter Breath, vehicle information, road condition predicting data, prediction flow of the people data.
5. according to any described methods of claim 1-4, it is characterised in that described according to the user of user portrait information and each The point of interest portrait information of trip point of interest, recommends trip interest point set to include for the user:
The trip point of interest for determining to match with user portrait by following at least one algorithm:Popularity proposed algorithm, association Same filter algorithm, content-based recommendation algorithm;Wherein, the user draws a portrait information including at least such as the next item down:The ascribed characteristics of population Information, interest preference information, positional information, user's Tourism Attribute information;The trip interest point information is included at least as next :Tag along sort information, base attribute information, traffic attribute information, Tourism Attribute information.
A kind of 6. traffic path device for planning, it is characterised in that including:
Recommendation unit:It is the user according to the user of user portrait information and the point of interest portrait information of each trip point of interest Recommend trip interest point set;Wherein, user's portrait information is generated by excavating the user data of the user, described emerging Interest point portrait information is generated by the related data for point of interest of being gone on a journey corresponding to excavation;
Determining unit:It is configured to be determined as some trip points of interest of destination according to the trip interest point set;
Route planning unit:The preposition typing information according to each destination is configured to, determines traffic path.
7. route planning device according to claim 6, it is characterised in that it is geographical that the preposition typing information includes core Positional information and decision-making assistant information, the route planning unit include:
Route calculation unit:If it is configured to calculate the main line for including each destination according at least one of following information:It is described Core geographical location information, user's current location information, user specify starting point;
Optimal route determining unit:It is configured to according to the decision-making assistant information, each route is assessed, chooses most Major path.
8. route planning device according to claim 7, it is characterised in that the optimal route determining unit includes:
Weighted value computing unit:It is configured to calculate the weighted value of the decision-making assistant information of each route respectively, and according to each described Weighted value, selects optimal route, and each decision-making assistant information is configured with corresponding weight.
9. route planning device according to claim 8, it is characterised in that:
The decision-making assistant information is included at least such as the next item down:It is adapted to temporal information of playing, duration information of playing, open hour letter Breath, vehicle information, road condition predicting data, prediction flow of the people data.
10. according to any described route planning devices of claim 6-9, it is characterised in that the recommendation unit also includes:
Matching unit:It is configured to the trip point of interest that following at least one algorithm determines to match with user portrait: Popularity proposed algorithm, collaborative filtering, content-based recommendation algorithm;Wherein, the user draws a portrait information including at least Such as the next item down:Ascribed characteristics of population information, interest preference information, positional information, user's Tourism Attribute information;The trip point of interest letter Breath is included at least such as the next item down:Tag along sort information, base attribute information, traffic attribute information, Tourism Attribute information.
11. a kind of equipment, it is characterised in that the equipment includes:
One or more processors;
Memory, for storing one or more programs,
When one or more of programs are by one or more of computing devices so that one or more of processors Perform the traffic path planing method as any one of claim 1-5.
12. a kind of computer-readable recording medium for being stored with computer program, it is characterised in that the program is executed by processor Shi Shixian traffic path planing methods as any one of claim 1-5.
CN201710720030.3A 2017-08-21 2017-08-21 Traffic path planing method and its device Pending CN107490385A (en)

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Application publication date: 20171219