CN109446381A - A kind of public transport road network integrated approach based on temporal diagram - Google Patents
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Abstract
The present invention relates to a kind of public transport road network integrated approach based on temporal diagram, comprising the following steps: using the basic element of graph model, carry out the network modelling of temporal diagram respectively using high-speed rail, subway, flight as object；The network model of connection is established to each object；By the network model of temporal diagram, the website including high-speed rail network, subway network and air net and the relationship between them are stored to Neo4j chart database；Integrated traffic network is expanded, the node with keyword is added, is connected by the website for connecting nearest apart from them with integrated traffic network.Traffic network with temporal information is abstracted as graph model by the present invention, constructs the network structure of temporal diagram.The structure integrates three kinds of high-speed rail, subway and aviation public transport, and is easy to extend the data source of other isomeries.By the storage of Neo4j chart database, information provides personalized time-based inquiry for user at the time of supporting to inquire remote path, and can be carried using the side between node.
Description
Technical field
The present invention relates to consider temporal information public transport road network is integrated and field of data storage, it is specifically a kind of
Public transport road network integrated approach based on temporal diagram.
Background technique
With the fast development of national communication road network, high-speed rail, subway and the traffic path of flight form the phase that is connected
Logical large-scale road network structure.The road network that the big multipair different vehicles of existing storage method generate establishes individually storage,
Route inquiry is relatively independent.User is not intended to using cumbersome inquiry operation when facing the application scenarios of urban outbound traffic face to face,
Short-working route is first such as determined by Baidu or Amap, then reachable out by the miscellaneous traffic software inquiries such as 12306
Trip shift.Therefore, we, can be high by underground route there is an urgent need for a kind of solution of one-touch service-seeking
Railway line and flight route are brought together, and the path recommendation for mixing the different vehicles and time-based class are provided for user
The convenient service of secondary inquiry.And to the stored in association of these a large amount of polymorphic isomeric datas, it is that integrated path is done on traffic network
Recommend, avoids the premise of multiple individual query operation.For this purpose, establishing a connection, open traffic network model, it appears outstanding
It is important.
Currently, the line memory method of traffic network generallys use the storage mode based on relational model, in conjunction with the pass of table
Join information and carries out path query.After road network is integrated when being related to the transfer of a plurality of route, multilist conjunctive query etc. is some
The time overhead that the filtering of condition will lead to inquiry is big, seriously affects user experience.In addition, with variation route open or road
The adjustment of line time, the update and maintenance of relevant database become complicated, and the adjustment of table structure is also very intractable.If by traffic
Road network uses the storage mode of graph model, and the operation associated to greatly improve inquiry of substitution tables can be carried out using figure traversal
Can, the maintainability and scalability of database can be improved additionally by the introducing of node and relationship.
It is noted that the traffic path of public transport is often fixed, generally can normally set out according to the time on timetable.
These are hidden in the time of departure and arrival time in timetable, be provided for user it is personalized based on the important of Temporal query
Information.Therefore, this paper presents a kind of public transport road network integrated approach based on temporal diagram.
Summary of the invention
To overcome the drawback of relational model storage tape and two main problems of public transport road network underintegration, this
Invention proposes that a kind of traffic network based on temporal diagram integrates storage method, constructs the network structure of temporal diagram, can be effectively treated
With the path query problem of time correlation.This graphic structure is stored for convenience simultaneously, using Neo4j as storing data
Library.
A kind of public transport road network integrated approach based on temporal diagram, comprising the following steps:
S10. basic element such as node, label, attribute and the connection for using graph model are distinguished using high-speed rail, subway, flight as object
Carry out the network modelling of temporal diagram；
S20. between high-speed rail network, subway network and air net, connected network is come to specific key node opening relationships
Model；
S30. by the network model of temporal diagram, website including high-speed rail network, subway network and air net and they between
Relationship is stored to Neo4j chart database；
S40. integrated traffic network is expanded, the node with Keyword Tag is added, nearest apart from them by connection
Website is connected with integrated traffic network.
Preferably, the step S10 is individually to establish tense graph model, modeling procedure to different types of transportation network
It is as follows:
S101. all websites are abstracted as the node in graph model, the characteristic that website itself is had is as the attribute of node；Root
Different labels is taken such as high-speed rail station, subway station, airport according to type belonging to website；
S102. the traffic route according to present in road network, be followed successively by by adjacent sites establish a directed edge, Bian Shangke takes
Band route information.According to the difference of the vehicles, different typonyms is set to incidence edge.
Preferably, the specific operation process of the step S20 includes:
S201. two contrary directed edges are established to subway station similar in geographical location and high-speed rail station, connection MTR network with
High iron net establishes subway-high-speed rail graph model；
S202. two contrary directed edges are established to subway station similar in geographical location and airport, connection MTR network with
Air line network establishes subway-airport graph model.
Preferably, in the step S30 by the operating process of the network model of temporal diagram storage to Neo4j database such as
Under:
S301. it creates node: the node in graph model being stored as to the node object (Node) of Neo4j database, according to website
The label (Lable) of node is named as subway station, high-speed rail station or airport by the difference of type, is arranged to node object necessary
Attribute；
S302. it creates the connection between subway station: between the adjacent sites successively passed through to subway line, establishing subway and take pass
System, and required attribute is set, including line name, early regular bus time, night shift vehicle time, terminus, time list of setting out；
S303. it creates the connection between high-speed rail website: between the adjacent sites successively passed through to high iron wire, establishing high-speed rail and take pass
System, and required attribute is set, including high-speed rail shift, departure time, arrival time, waiting time；
S304. it creates the connection between the website of airport: between the adjacent sites successively passed through to course line, establishing flight and take pass
System, and required attribute is set, including flight number, airline, departure time, arrival time；
S305. integrate the transportation network of isomery: the subway station adjacent to geographical location is established with high-speed rail station, subway station and airport
Proximity relations is connected to three major networks.
Preferably, the specific operation process of the step S40 includes:
S401. node object is created for certain a kind of key bytes point, gives node definition attribute and label；
S402. in order to which this kind of node is imported traffic network, each node is searched in radius most using Map Services
Near-earth iron establishes two contrary directed edges to them.
Compared with prior art, the beneficial effect of technical solution of the present invention is:
Traffic network with temporal information is abstracted as graph model by the method for the present invention, constructs the network structure of temporal diagram.The knot
Structure can integrate three kinds of high-speed rail, subway and aviation public transport, and be easy to extend the data source of other isomeries.Scheme by Neo4j
Remote path is inquired in the storage of database, support, such as trans-city travel plan using mixed traffic tool, and energy
Information provides personalized time-based inquiry for user at the time of carrying using the incidence edge between node.
Detailed description of the invention
Fig. 1 is total operational flowchart of the present invention；
Fig. 2 is the public transport road net data in embodiment；
Fig. 3 is MTR network tense graph model of the present invention, high iron net temporal diagram model, air line network tense graph model；
Fig. 4 is integrated traffic network graph model of the present invention, including subway-high-speed rail graph model and subway-aviation graph model；
Fig. 5 is a kind of graph model expanded after traffic network of the present invention；
Fig. 6 is the storage result schematic diagram that will be connected to graph model storage to Neo4j chart database；
Fig. 7 is a path query Example results figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, only for illustration, Bu Nengli
Solution is the limitation to this patent.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative labor
Every other embodiment obtained under the premise of dynamic, shall fall within the protection scope of the present invention.
As shown in Figure 1, the present invention the following steps are included:
Step S10: using the basic element of graph model, the network for carrying out temporal diagram respectively using high-speed rail, subway, flight as object is built
Mould；
Step S20: the network model being connected to is established with high-speed rail, subway with flight to subway；
Step S30: by the network model of temporal diagram, website including high-speed rail network, subway network and air net and they it
Between relationship storage to Neo4j chart database；
Step S40: expanding integrated traffic network, and the node with keyword is added, nearest apart from them by connection
Website is connected with integrated traffic network.
Embodiment 1: the traffic network how to constitute to high-speed rail, subway and flight is exemplified below and stores.This friendship
Access net has collected subway data, high-speed rail data, flight data and scene data.Wherein subway data source is in having opened subway
32 cities subway time data, and have collected the sight spot information in region for this 32 subway cities.High-speed rail number
According to the high railway line opened of the covering whole nation, and flight data taken Beijing, Shanghai, Guangzhou, four city interchanges in Shenzhen south
Navigate flight.As shown in Fig. 2, wherein node total number is 10318, the sum on side is for the number of nodes of data set and the quantity on side
55838.Illustrate the process stored to the system by the method for the invention below.
The specific operation process for establishing tense graph model to different types of transportation network in step S10 includes:
S101. all websites are abstracted as the node in graph model, the characteristic that website itself is had is as the attribute of node.Root
Different labels is taken such as high-speed rail station, subway station, airport according to type belonging to website；
The affiliated label in subway station be SSTATION, nodal community: code (administrative division code), name (site name),
Longitude (longitude), latitude (latitude), city (city).
The affiliated label of high-speed rail website be GSTATION, nodal community: code (administrative division code), name (site name),
Longitude (longitude), latitude (latitude), area (administrative area).
Website affiliated label in airport is FSTATION, nodal community: city (city), name (airport name).
S102. the traffic route according to present in road network, be followed successively by by adjacent sites establish a directed edge, Bian Shang
Route information can be carried, particularly, has departure time, arrival time for temporal diagram.According to the difference of the vehicles, set to side
Set different typonyms.
The entitled Subway of relationship between subway station indicates that two websites take that subway is reachable, and the attribute of relationship has:
Direction (driving direction), terminal (terminus), line (subway line name), first_time (first vehicle hour),
End_time (final vehicle hour), depart_time (frequency list).
The entitled TRAVEL_TO of relationship between high-speed rail website indicates that two websites take that high-speed rail is reachable, and the attribute of relationship has:
Gtrain_name (high-speed rail train number), depart_time (time of departure), wait_time (berthing time), arrival_time
(arrival time).
The entitled Flight of relationship between airport indicates that two websites take that flight is reachable, and the attribute of relationship has: from (begins
Hair station), to (point of destination), flight_number (flight number), company (flight company), depart_time is (when setting out
Between), arrive_time (arrival time)
By implementing above step, shown in MTR network graph model such as Fig. 3 (a) of foundation, shown in high iron net graph model such as Fig. 3 (b),
Shown in air line network graph model such as Fig. 3 (c).
Further, the specific operation process of the step S20 includes:
S201. two contrary directed edges are established to subway station similar in geographical location and high-speed rail station, connection MTR network with
High iron net establishes subway-high-speed rail graph model.As subway station " Guangzhou south railway station " with high-speed rail station " Guangzhou south railway station " adjacent, proximity relations
It is named as NEAR, as shown in Fig. 4 (a)；
S202. two contrary directed edges are established to subway station similar in geographical location and airport, connection MTR network with
Air line network establishes subway-aviation graph model.As subway station " airport south " with airport " Bai Yun International airport " adjacent, proximity relations
It is named as NEAR, as shown in Fig. 4 (b).
Step S30 stores the network model of temporal diagram to Neo4j database.Neo4j can be each node and each edge
An id is automatically generated as unique identification, in object storage does not need that id value additionally is arranged.The creation of connection needs specified
Beginning and end can uniquely determine a directed edge according to the id value of the two nodes.The concrete operations of the step S30
Journey includes:
S301. create node: node is stored as the node object of Neo4j database by the graph model established according to step 1
(Node), the label (Lable) of node is named as SSTATION, GSTATION and FSTATION according to the difference of type of site,
The feature of node object is set as the attribute of node；
S302. it creates the connection between subway station: between the adjacent sites successively passed through to subway line, establishing the pass Subway
System, and required attribute is set, including line name, early regular bus time, night shift vehicle time, terminus, time list of setting out；
S303. it creates the connection between high-speed rail website: between the adjacent sites successively passed through to high iron wire, establishing TRAVEL_TO
Relationship, and required attribute is set, including high-speed rail shift, departure time, arrival time, waiting time；
S304. it creates the connection between the website of airport: between the adjacent sites successively passed through to course line, establishing Flight relationship,
And required attribute is set, including flight number, airline, departure time, arrival time；
S305. the transportation network of isomery is integrated: integrated traffic network, to adjacent subway station and high-speed rail station, subway station and aircraft
NEAR relationship is established in field respectively.
Further, the specific operation process of the step S40 includes:
S401. node object is created for certain a kind of key bytes point, gives node definition attribute and label.
Here using the sight spot in each city as a kind of keyword, the node label of creation is Attraction, node band
Have with properties: code (according to administrative area block code), name (sight spot name), tag (classification), address (address),
Longitude (longitude), latitude (latitude).
S402. in order to which this kind of node is imported traffic network, each node is searched in radius using Map Services
Nearest subway, establish two contrary directed edges to them.
Connection subway network and sight spot object are needed exist for, the relationship of subway station to sight spot is named as Attraction,
Indicate that nearby existing sight spot, the relationship from sight spot to subway station are named as AtoS to certain subway station, indicate the nearest subway in periphery.
Both relationships all have with properties:
Distance_driving (driving distance), duration_driving (driving time), distance_riding (ride
Row distance), duration_riding (riding the time), distance_walking (walking distance), duration_walking
(walking time).
By step S40, the graph model that the integrated road network of scene data expansion is added is as shown in Figure 5.
By all of above operation, the integrated traffic network based on temporal diagram is stored to Neo4j chart database, can opened up
Show that storage result schematic diagram is seen at interface, as shown in Figure 6.From Fig. 6 (a) it can be seen that, complex relationship between node subway,
High-speed rail, sight spot connect into the integrated figure of public transport road network that one easily extends.Due to showing the limitation of range, it is not fully deployed
Whole figure structure.Each airport line turns shown in path storage result such as Fig. 6 (b) of subway, wherein Beijing, Shanghai, Guangzhou, Shenzhen
Respectively represent Captical International Airport, Hongqiao International airport, Bai Yun International airport, Bao'an International airport.
In the following, the traffic network of the present invention based on temporal diagram is integrated storage method knot by taking path query as an example
Close applicable cases to be described below: the starting point of given path inquiry is Guangzhou " Han Xichang is grand ", and terminal is Shanghai " Jiang Pulu ".It utilizes
Neo4j database storage system carries out shortest path query: match p=shortestpath ((a:GZstation { name: "
Chinese small stream it is long it is grand ")-[r:NEAR | Subway | TRAVEL_TO*] -> (b:SHstation { name: " Jiang Pulu " }))
return p.The route result checked in is as shown in fig. 7, user can take No. 7 lines of subway, from the long grand arrival Guang Zhounan of Chinese small stream
It stands, then takes suitable high railway line and reach Shanghai Station, then take No. 10 subway/light rail line and reach transfer point Siping Road, change to No. 8
Line arrives at the destination Pujiang road through Anshan Village.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (5)
1. a kind of public transport road network integrated approach based on temporal diagram, which comprises the following steps:
S10. basic element such as node, label, attribute and the connection for using graph model are distinguished using high-speed rail, subway, flight as object
Carry out the network modelling of temporal diagram；
S20. between high-speed rail network, subway network and air net, connected network is come to specific key node opening relationships
Model；
S30. by the network model of temporal diagram, website including high-speed rail network, subway network and air net and they between
Relationship is stored to Neo4j chart database；
S40. integrated traffic network is expanded, the node with Keyword Tag is added, nearest apart from them by connection
Website is connected with integrated traffic network.
2. the public transport road network integrated approach according to claim 1 based on temporal diagram, which is characterized in that the step
Rapid S10 is to establish tense graph model to different types of transportation network, and modeling procedure is as follows:
S101. the website of all public transport is abstracted as the node in graph model, the characteristic that website itself is had is as section
The attribute of point；The type according to belonging to website takes different labels；
S102. the traffic route according to present in road network, be followed successively by by adjacent sites establish a directed edge, Bian Shangke takes
Band route information；According to the difference of the vehicles, different typonyms is set to side.
3. the public transport road network integrated approach according to claim 1 based on temporal diagram, which is characterized in that the step
The specific operation process of S20 includes:
S201. two contrary directed edges are established to subway station similar in geographical location and high-speed rail station, connection MTR network with
High iron net establishes subway-high-speed rail graph model；
S202. two contrary directed edges are established to subway station similar in geographical location and airport, connection MTR network with
Air line network establishes subway-airport graph model.
4. the public transport road network integrated approach according to claim 1 based on temporal diagram, which is characterized in that the step
It is in S30 that the operating process of network model storage to the Neo4j database of temporal diagram is as follows:
S301. it creates node: the node in graph model being stored as to the node object of Neo4j database, according to type of site
The label of node is named as subway station, high-speed rail station or airport, set a property to node object by difference；
S302. it creates the connection between subway station: between the adjacent sites successively passed through to subway line, establishing subway and take pass
System, and set a property, including line name, early regular bus time, night shift vehicle time, terminus, time list of setting out；
S303. it creates the connection between high-speed rail website: between the adjacent sites successively passed through to high iron wire, establishing high-speed rail and take pass
System, and set a property, including high-speed rail shift, departure time, arrival time, waiting time；
S304. it creates the connection between the website of airport: between the adjacent sites successively passed through to course line, establishing flight and take pass
System, and set a property, including flight number, airline, departure time, arrival time；
S305. integrate the transportation network of isomery: the subway station adjacent to geographical location is established with high-speed rail station, subway station and airport
Proximity relations is connected to three major networks.
5. the public transport road network integrated approach according to claim 1 based on temporal diagram, which is characterized in that the step
The specific operation process of S40 includes:
S401. node object is created for certain a kind of key bytes point, gives node definition attribute and label；
S402. nearest subway of each node in radius is searched using Map Services, establishes two direction phases to them
Anti- directed edge.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109977323A (en) * | 2019-03-13 | 2019-07-05 | 南京大学 | A kind of commuting batch data acquisition method based on electronic map |
| CN111340673A (en) * | 2020-01-09 | 2020-06-26 | 北京航空航天大学 | Travel time consumption calculation method based on air-rail coupling network |
| CN111797283A (en) * | 2020-07-08 | 2020-10-20 | 深圳市活力天汇科技股份有限公司 | Air-rail transit method based on undirected weighted graph |
| CN111949664A (en) * | 2020-08-18 | 2020-11-17 | 上海伽易信息技术有限公司 | Subway high-speed data network route analysis method based on double-route protection and tendency aggregation degree graph calculation |
| CN112434188A (en) * | 2020-10-23 | 2021-03-02 | 杭州未名信科科技有限公司 | Data integration method and device for heterogeneous database and storage medium |
| CN112685864A (en) * | 2020-12-25 | 2021-04-20 | 长安大学 | Method and system for constructing double-layer high-speed rail dependent network based on realistic destructive factors |
| CN112685411A (en) * | 2020-12-25 | 2021-04-20 | 中国人民解放军战略支援部队信息工程大学 | High-speed rail network visualization method |
| CN113807457A (en) * | 2021-09-26 | 2021-12-17 | 北京市商汤科技开发有限公司 | Method, device and equipment for determining road network characterization information and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1598489A (en) * | 2004-09-14 | 2005-03-23 | 南京嘉哇科技有限公司 | Method and system of public communication source guiding |
| CN104200650A (en) * | 2014-08-27 | 2014-12-10 | 浙江工业大学 | Multimode public transportation transferring method in urban congestion period |
| CN107545320A (en) * | 2017-07-03 | 2018-01-05 | 北京交通大学 | A kind of urban track traffic passenger paths planning method and system based on graph theory |
| CN107563028A (en) * | 2017-08-22 | 2018-01-09 | 南京邮电大学 | A kind of public transport subway coupling network construction method based on spatial network |
| CN108243065A (en) * | 2018-01-08 | 2018-07-03 | 东北大学 | Based on the congestion aware routing policy under public transport-subway double-weighing passenger transfer network |
-
2018
- 2018-10-16 CN CN201811204734.6A patent/CN109446381A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1598489A (en) * | 2004-09-14 | 2005-03-23 | 南京嘉哇科技有限公司 | Method and system of public communication source guiding |
| CN104200650A (en) * | 2014-08-27 | 2014-12-10 | 浙江工业大学 | Multimode public transportation transferring method in urban congestion period |
| CN107545320A (en) * | 2017-07-03 | 2018-01-05 | 北京交通大学 | A kind of urban track traffic passenger paths planning method and system based on graph theory |
| CN107563028A (en) * | 2017-08-22 | 2018-01-09 | 南京邮电大学 | A kind of public transport subway coupling network construction method based on spatial network |
| CN108243065A (en) * | 2018-01-08 | 2018-07-03 | 东北大学 | Based on the congestion aware routing policy under public transport-subway double-weighing passenger transfer network |
Non-Patent Citations (1)
| Title |
|---|
| 于海鹏: "基于NOSQL数据库的路网最短路径查询及优化研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109977323A (en) * | 2019-03-13 | 2019-07-05 | 南京大学 | A kind of commuting batch data acquisition method based on electronic map |
| CN109977323B (en) * | 2019-03-13 | 2021-09-03 | 南京大学 | Commuting data batch acquisition method based on electronic map |
| CN111340673A (en) * | 2020-01-09 | 2020-06-26 | 北京航空航天大学 | Travel time consumption calculation method based on air-rail coupling network |
| CN111797283A (en) * | 2020-07-08 | 2020-10-20 | 深圳市活力天汇科技股份有限公司 | Air-rail transit method based on undirected weighted graph |
| CN111797283B (en) * | 2020-07-08 | 2024-03-05 | 深圳市活力天汇科技股份有限公司 | Null iron transfer method based on undirected weighted graph |
| CN111949664A (en) * | 2020-08-18 | 2020-11-17 | 上海伽易信息技术有限公司 | Subway high-speed data network route analysis method based on double-route protection and tendency aggregation degree graph calculation |
| CN112434188B (en) * | 2020-10-23 | 2023-09-05 | 杭州未名信科科技有限公司 | Data integration method, device and storage medium of heterogeneous database |
| CN112434188A (en) * | 2020-10-23 | 2021-03-02 | 杭州未名信科科技有限公司 | Data integration method and device for heterogeneous database and storage medium |
| CN112685411A (en) * | 2020-12-25 | 2021-04-20 | 中国人民解放军战略支援部队信息工程大学 | High-speed rail network visualization method |
| CN112685411B (en) * | 2020-12-25 | 2023-02-10 | 中国人民解放军战略支援部队信息工程大学 | High-speed rail network visualization method |
| CN112685864A (en) * | 2020-12-25 | 2021-04-20 | 长安大学 | Method and system for constructing double-layer high-speed rail dependent network based on realistic destructive factors |
| CN112685864B (en) * | 2020-12-25 | 2024-03-29 | 长安大学 | Double-layer high-speed rail dependent network construction method and system based on reality destruction factors |
| CN113807457A (en) * | 2021-09-26 | 2021-12-17 | 北京市商汤科技开发有限公司 | Method, device and equipment for determining road network characterization information and storage medium |
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