CN107154148A - A kind of method of public bus network fitting - Google Patents
A kind of method of public bus network fitting Download PDFInfo
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- CN107154148A CN107154148A CN201610119949.2A CN201610119949A CN107154148A CN 107154148 A CN107154148 A CN 107154148A CN 201610119949 A CN201610119949 A CN 201610119949A CN 107154148 A CN107154148 A CN 107154148A
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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
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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Abstract
The invention discloses a kind of approximating method of public bus network, and in particular to is divided public transport gps data by website and circuit, and linear fit is carried out by algorithm.Status of the public transport in social development gradually rises, and whether it is rationally to influence the key factor of Development of Public Transport that public bus network if being laid with resource distribution.The present invention is directed to the complexity of current bus travel route, it is proposed that a kind of new line fitting method, is specially to be divided public bus network by website, then the adjacent sites after all divisions are segmented by coverage condition, uses SVMs（SVM）Method carries out longitude to the gps data in every section and latitude is fitted.Pass through the circuit after fitting, the connected ratio of the access circuit between website of bus travel circuit can effectively be assessed, data basis is provided for analysis urban public bus lines and further transit network planning of implementing, efficiently management and raising public transport operation efficiency play an important roll to realize urban public bus lines.
Description
Technical field
The present invention relates to a kind of approximating method of public bus network, and in particular to enters public transport gps data by website and circuit
Row is divided, and linear fit is carried out by algorithm.
Technical background
With the continuous improvement continued to develop with living standards of the people of urban economy, scale, the traffic in China city goes out
Row pressure is constantly rising, and urban transport problems turns into the major issue of restriction urban sustainable development.Hand in domestic and international city
Logical Construction Practice and research show, first develop the most effective way that public transport is generally acknowledged solution Traffic Jam Problem in Cities
Footpath.In face of population, the energy, environment, safe contradiction pressure, China can be alleviated significantly by first developing public transport
Urban traffic demand increases the problem of bringing, and Optimizing Urban Transportation structure realizes the efficient utilization of path resource, while promoting city
City's development model to saving land, save, save material transformation, promote the sustainable development of the city.
Status of the public transport in social development gradually rises, and whether it is rationally shadow that public bus network if being laid with resource distribution
Ring the key factor of Development of Public Transport.In face of the present situation that public bus network is disorderly, analysis and assessment bus travel route are optimization public transport
Circuit significant data basis.The current research project on public bus network, such as patent【CN201510254584.X】A kind of " city
City's bus routes system of selection " mainly solves vehicle dispatching problem in Traffic Systems using evolutionary computation strategy.The hair
Bright is, by being made prediction to traffic information, according to the situation of having a good transport and communication network, public bus network to be planned, laid particular emphasis on to traffic flow
The adjustment of amount, and uncombined public transit road connected ratio analyzed.Such as the patent No.【CN201510596266.1】A kind of " public transport line
Net gridding evaluation method " is, into customized grid, for each grid, to analyze map partitioning it and pass through public traffic network
To the connection situation of other grids, and the speed of service between grid.The invention is fast by bus by the connection situation between region
Degree and number of transfer are evaluated public transport network, but whole piece public bus network can not be estimated.Such as the patent No.
【CN201510311023.9】" two-dimensional network method city public bus network distribution method ", which is drawn, lays regional traffic figure, will lay area
Domain is divided into the network plane of two dimension by trend of road, invention the combination people, car, road, the big factor of environment four, establish be it is overall entirely
The designing axiom of office is not careful complete enough for the physical planning of circuit.
The present invention is directed to the complexity of current public bus network, it is proposed that a kind of new line fitting method, after fitting
Circuit, can effectively assess the connected ratio of the access circuit between website of bus travel circuit, it is public for analysis city
Intersection road and further implementation transit network planning offer data basis, to realize the efficient management of urban public bus lines and improving public affairs
Line efficiency is shipped to play an important roll.
The content of the invention
The present invention is a kind of complexity for bus travel route, the method being fitted to public bus network.Specially
Public bus network is divided by website, then the adjacent sites after all divisions are segmented by coverage condition, is used
SVMs（SVM）Method carries out longitude to the gps data in every section and latitude is fitted.
To achieve these goals, the technical scheme that the present invention is provided is as follows：
1 library module：Public transport gps data and website GIS data are taken out in stipulated time section, and is found out public in adjacent sites
Hand over gps data couple.Data set between all adjacent sites is collected and two-dimensional matrix is built.
2. analysis module：On the basis of the two-dimensional matrix of database sharing, by adjacent sites by label such as distance, the time,
The factors such as circuit turnover radian are classified.Two-dimensional matrix is built to the data in adjacency matrix according to classification.
3. fitting module：With each row of data of (SVR) method of support vector regression in SVM algorithm to adjacent sites matrix
Carry out longitude and latitude fitting.
The benefit of this method is：With reference to bus station GIS data, public transport gps data proposes that a kind of new public bus network is intended
Conjunction method.By the circuit after fitting, bus travel route can be effectively assessed, and for Urban transit planning public transport line
Road has actual meaning.
Brief description of the drawings
Fig. 1 is line fitting figure of the present invention
Fig. 2 is running figure (flow chart) of the present invention
Fig. 3 is data handling procedure figure of the present invention (system processing procedure figure)
Embodiment
The problem of being fitted present invention mainly solves public bus network, is specially to carry out public transport gps data by data between website
Classification, then public transport gps data is classified again for the different qualities on every station track road, carry out linear fit finally by SVR methods.
To achieve these goals, the technical scheme that the present invention is provided is as follows：
One public transport network evaluation of programme, including：
Mesh generation module, grid is divided into by city map.Realize that GPS point is converted between grid, while marking lake, mountain
The insignificant grid such as arteries and veins；
Database module, counts the run time of public bus network, the link information between website is inserted into database at times；
Public traffic network module, builds network, using the grid where bus station as summit, using public bus network as side, builds public transport
Network；
Walking mixed-media network modules mixed-media, sets walking parameter, using the grid where bus station as initial vertex, with can from the website walking
Grid to reach builds side, forms walking network as summit is terminated；
Computing module, sets number of transfer, and the connection feelings within number of transfer are being given between solving grid by matrix multiplication
Condition.And the speed between grid is obtained with reference to database module；
Statistical analysis module, obtains the connected ratio of any one website, and any one website is to the average speed of other websites
Spend, the connected ratio of whole network, the correlated results such as average speed is used as the evaluation to public transport network.
Below in conjunction with the running situation in one week of route of Changzhou 52, the present invention will be described in detail：
As shown in figure 1, system contains bus running data, station data and map GIS data.Taken first from database
Go out bus running data in stipulated time section, then the adjacent sites after all divisions are according to condition segmented, in every section
Gps data press SVMs（SVM）Method is fitted to longitude and latitude respectively.
Idiographic flow is as follows：
Step 1：Bus station data in stipulated time section TA are taken out from database.And carry out data processing and find out neighbor stations
Point.Specific method is, it is assumed that have website sequence number S1A data D1There is outbound time LT1, there is website sequence number S2Position S1It is next
Stand, all S in traversal bus station data2Website inbound time LT2, find out wherein LT2 - LT1Minimum value, judged with this
This includes LT2Data D2For D1Adjacent sites.With this recurrence, all adjacent sites are found out.
Step 2：Stipulated time section TA public transport operation data are taken out from database.Travel through public transport operation data and step
The time out of the station of adjacent sites in 1 is compared, when judging that these public transport operation data are belonging respectively to the operation of which website
In section.
Step 3：Collect the data between adjacent sites, then the data website are according to condition segmented, deposited between such as website
In circuit turnover, then just website is segmented as before turnover and after turnover.
Step 4：To the data after difference（And per segment data）Data fitting is carried out with SVR methods.Longitude is used first
For desired value, latitude is fitted for desired value, draws the fitting result of longitude.Similarly, using latitude as desired value, longitude is made
Value is characterized, the fitting result of latitude is drawn.
Claims (8)
1. mesh generation module, grid is divided into by city map.
2. realize that GPS point is converted between grid, while lake is marked, the insignificant grid such as mountain range.
3. database module, counts the run time of public bus network, the link information between website is inserted into data at times
Storehouse.
4. public traffic network module, builds network, using the grid where bus station as summit, using public bus network as side, build public
Hand over network.
5. walking mixed-media network modules mixed-media, walking parameter is set, using the grid where bus station as initial vertex, with from the website walking
The grid that can be reached builds side to terminate summit, forms walking network.
6. computing module, sets number of transfer, the connection within number of transfer is being given between solving grid by matrix multiplication
Situation.
7. and the speed between grid is obtained with reference to database module.
8. statistical analysis module, obtains the connected ratio of any one website, and any one website being averaged to other websites
Speed, the connected ratio of whole network, the correlated results such as average speed is used as the evaluation to public transport network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610119949.2A CN107154148A (en) | 2016-03-03 | 2016-03-03 | A kind of method of public bus network fitting |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610119949.2A CN107154148A (en) | 2016-03-03 | 2016-03-03 | A kind of method of public bus network fitting |
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| Publication Number | Publication Date |
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| CN107154148A true CN107154148A (en) | 2017-09-12 |
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| CN201610119949.2A Pending CN107154148A (en) | 2016-03-03 | 2016-03-03 | A kind of method of public bus network fitting |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109754630A (en) * | 2019-02-02 | 2019-05-14 | 武汉元光科技有限公司 | The method and apparatus for determining car operation route |
| CN110675646A (en) * | 2019-12-04 | 2020-01-10 | 武汉元光科技有限公司 | Method and device for acquiring position of bus station |
| CN111862662A (en) * | 2020-07-21 | 2020-10-30 | 上海晨擎信息科技有限公司 | Bus route adjusting and monitoring method based on bus running data |
-
2016
- 2016-03-03 CN CN201610119949.2A patent/CN107154148A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109754630A (en) * | 2019-02-02 | 2019-05-14 | 武汉元光科技有限公司 | The method and apparatus for determining car operation route |
| CN110675646A (en) * | 2019-12-04 | 2020-01-10 | 武汉元光科技有限公司 | Method and device for acquiring position of bus station |
| CN111862662A (en) * | 2020-07-21 | 2020-10-30 | 上海晨擎信息科技有限公司 | Bus route adjusting and monitoring method based on bus running data |
| CN111862662B (en) * | 2020-07-21 | 2021-08-20 | 上海晨擎信息科技有限公司 | Bus route adjusting and monitoring method based on bus running data |
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| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170912 |
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| WD01 | Invention patent application deemed withdrawn after publication |