CN109035783A - A kind of virtual networks missing section automatic identifying method based on public transport GPS track - Google Patents

A kind of virtual networks missing section automatic identifying method based on public transport GPS track Download PDF

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CN109035783A
CN109035783A CN201811081356.7A CN201811081356A CN109035783A CN 109035783 A CN109035783 A CN 109035783A CN 201811081356 A CN201811081356 A CN 201811081356A CN 109035783 A CN109035783 A CN 109035783A
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point
section
road
public transport
gps track
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CN109035783B (en
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王炜
刘岩
郑永涛
李欣然
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Southeast University
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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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00—Routing or path finding of packets in data switching networks
    • H04L45/02—Topology update or discovery
    • 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
    • H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
    • 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
    • H04W4/029—Location-based management or tracking services
    • 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]
    • H04W4/42—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for mass transport vehicles, e.g. buses, trains or aircraft

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a kind of, and the virtual networks based on public transport GPS track lack section automatic identifying method, public transport GPS track point and road network are loaded into city virtual traffic platform first, then each GPS track point is drawn using distance l as radius and is justified, all road network topology points that the border circular areas is surrounded constitute candidate point set R, if R collection non-empty, then judge the connection relationship between wherein any two points, choose the topology point pair with connection relationship, constitute test point periphery section collection D, and calculate the distance in the GPS point each section into D, wherein the smallest distance and maximum allowable deviation compare for selection, judge the GPS point whether on the section, if excluding the test point and if carry out the judgement of next GPS point in a similar way, if the value of iteration l continuous not if, it repeats the above process until l reaches To limiting value, all corresponding sections of test point not being excluded are to lack section.The present invention can save the time of manual identified, improve road network accuracy of identification.

Description

A kind of virtual networks missing section automatic identifying method based on public transport GPS track
Technical field
The present invention relates to a kind of missing section automatic identifying methods more particularly to a kind of based on the virtual of public transport GPS track Road network lacks section automatic identifying method.
Background technique
The fast development of information technology provides the possibility of electronization for the analysis of urban transport problems, and big data technology is more There is provided real-time highway traffic data data, and constructing the city virtual traffic system platform based on big data is present analysis One effective ways of urban transport problems.Multi-source traffic data can be concentrated on one by city virtual traffic system platform In system, complicated traffic behavior is reproduced on virtual platform, analyst can carry out various according to different goals in research Operation, solves a problem promptly.
The building of the too busy to get away city road network of the analysis of urban transport problems, skeleton and basis as Traffic Systems, The integrality of road network basic data provides guarantee for the reliability of subsequent traffic analysis.However, handing at present city There are still certain obstacles for the further research for topic of corresponding.On the one hand, due to the hysteresis quality of information update and timeliness, city road Often there is localized loss in road network electronic map.On the other hand, some traffic analysis processes are for road network essence The requirement of degree is relatively high, existing road network precision it is difficult to ensure that, solve the problems, such as that this, mainly by artificial observation, passes through early period at present Traffic study obtains the associated materials of government department, goes to improve and supplement missing road, and this method not only consumes largely Human and material resources, financial resources rely more on the personal judgement of staff, cause analysis result poor.
It has been investigated that the GPS track point data of ground public transport route, which has, updates timely, position precision relatively High advantage, this is matches urban road data by public bus network GPS track point data, to identify that missing section mentions Having supplied may.
Summary of the invention
Goal of the invention: being directed to above-mentioned practical problem and the deficiencies in the prior art, and the present invention proposes that a kind of automatic identification is virtual Network lack section method, this method utilize computer automation identification technology, according to road network road lack recognition result, Optimize road net data, cooperate the complete city virtual traffic systems of compositions such as existing traffic model, to cope with Modern City Traffic Congestion problem provides new solution.
Technical solution: for achieving the above object, the technical scheme adopted by the invention is that: one kind being based on GPS track Virtual networks lack section automatic identifying method, comprising the following steps:
(1) bus is denoted as public transport GPS track point at interval of the GPS data that certain time is recorded, between the time Every usually 30s, public transport GPS track point is loaded into city virtual traffic system platform together with road network, which can show Urban road network, urban public bus lines and analysis city traffic demand；
(2) from originating public transport, along driving direction, the GPS track measured on route point is successively denoted as test point b1, b2,…,bn, to constitute detection point set B, wherein n is number when detecting for the last time on the public transport line；
(3) for all test point b in detection point set Bi, i=1 ..., n, from b1Start, with b1For the center of circle, to make by oneself Justice distance l is that radius draws circle, and all road network topology points which is surrounded are considered as candidate point, to constitute candidate point set R, wherein l can be set according to actual needs, usually 100m；
(4) if entering step (8) without candidate point in step (3), (5) are otherwise entered step；
(5) using the comprehensive traffic network Topology connection table in the virtual traffic system platform of city as foundation, with each road Section is unit, stores the candidate point that the section is included, including road-net node and inflection point in order, judges to appoint in candidate point set R Two candidate points of anticipating whether be it is adjacent, if adjacent, there are connection relationship, otherwise be not present, traverse all candidate points in R, choose Topology point pair with connection relationship, constitutes test point b1Periphery section collection D；
(6) test point b is calculated separately1Into set D, the distance d in each section, formula are as follows:
Wherein, r is parameter, and M, N are two endpoints in certain section in set D, P b1To the vertical point of MN；Choose it In the smallest distance dmin, by it and as judge index maximum allowable deviation d0Compare, d0It can be set according to actual needs, Usually desirable 15m, if dmin< d0, then show test point b1It is removed from detection point set B on the section, and by it；If dmin> d0, then show test point b1Road is not present in periphery, and is retained in detection point set B；
(7) if test point b in step (6)1It is removed from detection point set B, then enters step (9), otherwise enter step (8)；
(8) increase a fixed radius to l and increase iterative value Δ l, and be denoted as l again, judge whether l is more than on given Limit llimitIf not having, repeatedly step (3) and step (4)；If being more than given upper limit llimit, then retain in detection point set B b1, wherein Δ l and llimitIt can be set according to actual needs, Δ l is usually 100m, llimitUsually 1000m；
(9) successively with b2,b3,…,bnIt for the center of circle, repeats step (3) to step (8), until the institute on traversal public bus network There is GPS track point；
(10) remaining test point in B is exported, then can determine that the corresponding section of these test points for missing section, the missing Section includes:
(a) section missing among road: can be divided into two kinds of situations, the first situation is to be located at two in road direction of advance Certain section of road missing between a road circuit node, the exploitation that such case exists mainly in the intensive block of Branch Road Network or creates The reason of area, generation such case, mainly new road was built up；Second situation is in road direction of advance, and road part occurs and changes Line, the road missing after relocating, such case mainly appear on road along subway, and that makes for convenience of subway work is interim Property measure；
(b) the end section missing of road: the relatively remote branch in position may be arranged in the terminal or starting point of public bus network On the road, some branches with a path connected in road net data due to being only missed；
(c) the dedicated trace missing of intersection right-hand rotation: such case typically occurs in large-scale intersection, due to intersection transformation etc. Reason, the right-hand rotation special lane added do not update in road network in time.
The utility model has the advantages that compared with prior art, the invention has the following advantages that replacing tradition with computer automatic identification Manual identified virtual networks missing section process, save human and material resources, financial resources, evaded experience master in manual identified The drawback of justice improves the precision of road network identification.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Fig. 2 (a) (b) (c) is three kinds of positional diagrams in test point and section.
Specific embodiment
Further description of the technical solution of the present invention with reference to the accompanying drawings and examples.
As shown in Figure 1, a kind of virtual networks based on public transport GPS track of the present invention lack section automatic identification side Method, comprising steps of
(1) bus is denoted as public transport GPS track point at interval of the GPS data that 30s is recorded, and together with road network It is loaded into city virtual traffic system platform.
The present embodiment chooses the public bus network GPS track point of Wuhan City 41 and city road network data as experiment number According to, public bus network title and each route GPS track point quantity, i.e. test point quantity, as shown in table 1 below.
Table 1
(2) by taking No. 201 lines of public transport as an example, from originating public transport, along driving direction, by measured on route 324 GPS rails Mark point, is successively denoted as b1,b2,…,b324, constitute detection point set B.
(3) for all test point b in detection point set Bi, i=1 ..., 324, from b1Start, with b1For the center of circle, with away from It is that radius draws circle from 100m, all road network topology points which is surrounded are considered as candidate point, to constitute candidate point set R。
(4) if entering step (8) without candidate point in step (3), (5) are otherwise entered step；
(5) for candidate point set R, judge the connection relationship between wherein any two candidate point, traverse all candidates in R Point chooses the topology point pair with connection relationship, constitutes test point b1Periphery section collection D；
Judge the connection relationship foundation between any two candidate point are as follows: the comprehensive traffic in the virtual traffic system platform of city Network topology connection table.For the table as unit of each section, storing the section in order includes topological point, including road network section Point and inflection point, and there are connection relationship between adjacent two topologys point, do not have connection between non-conterminous two topologys point Relationship.Test point b1The comprehensive traffic network Topology connection table of periphery section collection D is shown in Table 2.
Table 2
It can be seen that there is the totally 6 road topology points of number 0~5 in D, 20 sections are formed altogether.
(6) test point b is calculated separately1The distance in each section into set D chooses wherein the smallest distance dmin, by it with Maximum allowable deviation d0Compare, if dmin< d0, then show test point b1It is removed from detection point set B on the section, and by it； If dmin> d0, then show test point b1Road is not present in periphery, and is retained in detection point set B；
Calculate test point b1The method of the distance in each section into set D are as follows: with test point b1It is with section MN in set D Example: b1Vertical point to MN is denoted as point P, b1Three kinds of situations of positional relationship point between MN:
(a)b1Be projected in line segment MN, as shown in Fig. 2 (a)；
(b)b1Be projected on the outside of line segment MN point N, as shown in Fig. 2 (b)；
(c)b1Be projected on the outside of line segment MN point M, as shown in Fig. 2 (c).
In view of the directionality of section MN, parameter r is introduced, shown in following formula:
Then b1To the distance d of line segment MN are as follows:
By maximum allowable deviation d in the present embodiment0It is taken as 15m, finds the smallest distance d by calculatingmin=15.8m, table Bright test point b1Road is not present in periphery, and is retained in detection point set B.
(7) if test point b in step (6)1It is removed from detection point set B, then enters step (9), otherwise enter step (8)；
(8) to initial candidate point chosen area radius 100m, increase radius 100m iteration every time, after judging iteration Radius size whether be more than given radius upper limit 1000m, if not having, repeatedly step (3) and step (4)；If being more than given The upper limit then retains b in detection point set B1。
In the present embodiment, when radius is 300m, there are candidate point in R, (5) are entered step.
(9) successively with b2,b3,…,b324It for the center of circle, repeats step (3) to step (8), until on traversal public bus network All GPS track points；
(10) remaining test point in B is exported, then can determine that the corresponding section of these test points for missing section, the missing Section includes:
(a) section missing among road: can be divided into two kinds of situations, the first situation is to be located at two in road direction of advance Certain section of road missing between a road circuit node, the exploitation that such case exists mainly in the intensive block of Branch Road Network or creates The reason of area, generation such case, mainly new road was built up；Second situation is in road direction of advance, and road part occurs and changes Line, the road missing after relocating, such case mainly appear on road along subway, and that makes for convenience of subway work is interim Property measure；
(b) the end section missing of road: the relatively remote branch in position may be arranged in the terminal or starting point of public bus network On the road, some branches with a path connected in road net data due to being only missed；
(c) the dedicated trace missing of intersection right-hand rotation: such case typically occurs in large-scale intersection, due to intersection transformation etc. Reason, the right-hand rotation special lane added do not update in road network in time.
In this embodiment, remaining test point totally 8, respectively b in B1,b63,b67,b106,b177,b191,b245,b307, this A little corresponding sections of test point are missing section, and comparison map is further discovered that section deletion type is newly-built road missing.
The above, only a public bus network and adjacent road, the missing section recognition methods of All other routes with it is such Seemingly.

Claims (9)

1. a kind of virtual networks based on public transport GPS track lack section automatic identifying method, which is characterized in that including following step It is rapid:
(1) public transport GPS track point and road network are loaded into city virtual traffic system platform；
(2) from originating public transport, along driving direction, the GPS track measured on route point is successively denoted as test point b1,b2,…, bn, to constitute detection point set B, wherein n is number when detecting for the last time on the public transport line；
(3) for all test point b in detection point set Bi, i=1 ..., n, from b1Start, with b1For the center of circle, with it is customized away from It is that radius draws circle from l, all road network topology points which is surrounded are considered as candidate point, to constitute candidate point set R；
(4) if entering step (8) without candidate point in step (3), (5) are otherwise entered step；
(5) for candidate point set R, judge the connection relationship between wherein any two candidate point, traverse all candidate points in R, choosing The topology point pair with connection relationship is taken, test point b is constituted1Periphery section collection D；
(6) test point b is calculated separately1The distance d in each section into set D chooses wherein the smallest distance dmin, by itself and maximum Allowable deviation d0Compare, if dmin< d0, then show test point b1It is removed from detection point set B on the section, and by it；If dmin> d0, then show test point b1Road is not present in periphery, and is retained in detection point set B；
(7) if test point b in step (6)1It is removed from detection point set B, then enters step (9), otherwise enter step (8)；
(8) increase a fixed length Δ l to l, and be denoted as l again, judge whether l is more than given upper limit llimitIf not having, repeat Step (3) and step (4)；If being more than given upper limit llimit, then retain b in detection point set B1；
(9) successively with b2,b3,…,bnIt for the center of circle, repeats step (3) to step (8), until all on traversal public bus network GPS track point；
(10) remaining test point in B is exported, then can determine that the corresponding section of these test points for missing section.
2. a kind of virtual networks based on public transport GPS track according to claim 1 lack section automatic identifying method, It is characterized in that: the GPS number that public transport GPS track point is recorded by bus at interval of certain time described in step (1) According to.
3. a kind of virtual networks based on public transport GPS track according to claim 1 lack section automatic identifying method, Be characterized in that: city virtual traffic system platform described in step (1) is that one kind can show that urban road network, city are public The macroscopic analysis software of intersection road and analysis city traffic demand.
4. a kind of virtual networks based on public transport GPS track according to claim 1 lack section automatic identifying method, It is characterized in that: judging the foundation of connection relationship between any two candidate point in step (5) are as follows: in the virtual traffic system platform of city Comprehensive traffic network Topology connection table；For the table as unit of each section, storing the section in order includes topological point, Including road-net node and inflection point, and there are connection relationship between two adjacent topology points, between non-conterminous two topologys point Without connection relationship.
5. a kind of virtual networks based on public transport GPS track according to claim 1 lack section automatic identifying method, It is characterized in that: calculating test point b described in step (6)1Into set D, the formula of the distance d in each section is as follows:
Wherein, r is parameter, and M, N are two endpoints in certain section in set D, P b1To the vertical point of MN.
6. a kind of virtual networks based on public transport GPS track according to claim 1 lack section automatic identifying method, It is characterized in that: the maximum allowable deviation d in step (6)0Be judge test point whether the index on section.
7. a kind of virtual networks based on public transport GPS track according to claim 1 lack section automatic identifying method, Be characterized in that: fixed length Δ l described in step (6) is every time using test point as the center of circle, and l is that radius picture bowlder radius is increased repeatedly Generation value.
8. a kind of virtual networks based on public transport GPS track according to claim 1 lack section automatic identifying method, It is characterized in that: given upper limit l described in step (8)limitFor every time using test point as the center of circle, l is that radius draws bowlder radius Maximum value.
9. a kind of virtual networks based on public transport GPS track according to claim 1 lack section automatic identifying method, Be characterized in that: missing section described in step (10) includes:
(1) section missing among road: can be divided into two kinds of situations, the first situation is to be located at two roads in road direction of advance Certain section of road missing between circuit node；Second situation is in road direction of advance, and road part occurs and relocates, after relocating Road missing；
(2) the end section missing of road: the terminal or starting point of public bus network may be arranged on the relatively remote branch road in position, Some branches with a path connected in road net data due to being only missed；
(3) the dedicated trace missing of intersection right-hand rotation: due to intersection transformation etc., the right-hand rotation special lane added is not in time on road It is updated in net.
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