CN1948913A - Heuristic path culculating method for treating large scale floating vehicle data - Google Patents
Heuristic path culculating method for treating large scale floating vehicle data Download PDFInfo
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Abstract
The invention relates to heuristic path presuming method used to process large-scale floating car data. It includes the following steps: building road net data structure includes node, road section, and road chain, road net topological structure which is the connected relation of the each road chain according to road geography information data in city navigation electric map; processing floating car data by heuristic path presuming method; computing traveling path according to recorded time and position for each floating car. The invention uses road net connectivity topological structure and directed line segment heuristics caused by vehicle position point to search the most possible next traveling path, processes project matching for the selected road to effectively increase processing efficiency; in addition, it combines consecutive many GPS location data to presume, increases algorithm accuracy by vehicle path traveling continuity.
Description
Technical field
The present invention relates to the path culculating method in the Floating Car Real-time Traffic Information disposal system of a kind of intelligent transportation system (ITS) field, particularly a kind of heuristic path culculating method that is used to handle large scale floating vehicle data.
Background technology
At intelligent transportation field, real-time and dynamic transport information can be vehicle driving, and communications and transportation etc. provide effective traffic guidance and trip planning information, thereby reaches purposes such as saving line time, minimizing exhaust emissions.
Floating Car (Float Car Data) technology, also being known as " probe vehicles (Probe car) " is to obtain one of technological means of Traffic Information in the international intelligent transportation system (ITS).Adopt the system of Floating Car technology to be called as the Floating Car system, the ultimate principle of its operation is: according to the vehicle of equipment vehicle-bone global positioning system (GPS), it is Floating Car, the positional information of periodic logging (floating car data) in the vehicle ' process, application comprises map match, traffic route is inferred with relevant computation model and algorithm such as road traffic congestion information calculating and is handled, thereby floating car data and urban road are associated on time and space, finally obtain the traffic congestion information such as driving hourage of the Vehicle Speed of road that Floating Car is passed through and road.If in the city, dispose the Floating Car of sufficient amount, and the positional information of these Floating Car is transferred to an information processing centre regularly, in real time by wireless telecommunication system, by information center's overall treatment, just can obtain dynamic, the real-time traffic congestion information of entire city.
Because the GPS equipment that vehicle adopted generally has the circumference error more than 5 meters, therefore in matching process, exist location point is matched possibility on many roads, the time interval of the GPS of vehicle collection simultaneously position data is longer, generally between 5 seconds-300 seconds, (mostly be 30 seconds in the practical application-120 seconds), cause two continuous position points to cross over longer distance like this, might there be many paths that can travel between two location points, therefore need a kind of method of design to determine the driving path that vehicle is correct, this method is exactly a path culculating method, therefore path culculating method is by handling the driving trace point data of vehicle than large-spacing, obtaining the technology of the correct driving path of vehicle.
Current path culculating technology is based on mostly carries out between 2 that have finished coupling, need carry out twice independently map match computing, and the breadth first search who carries out road based on road network structure finds out the possible driving path of vehicle again.Such algorithm search scope is big, and efficient is lower, the real-time requirement during can't be fine satisfied processing large scale floating vehicle tracing point.While this method that adopts two points in the set of GPS anchor point, sampled point is less, can't improve accuracy with reference to supposition situation before and follow-up anchor point by rollback, each is put all independently mate the operation efficiency that has also reduced system.
Summary of the invention
Technology of the present invention is dealt with problems: overcome the deficiencies in the prior art, a kind of heuristic path culculating method that is used to handle large scale floating vehicle data is provided, this method fast, efficiently, accurately, and be applicable to the path culculating method of complicated road conditions, main and side road for the city, road structures such as viaduct all can be handled efficiently.
Technical solution of the present invention: be used to handle the heuristic path culculating method of large scale floating vehicle data, its characteristics are to realize by following steps:
(1) according to the road geographic information data of city navigation electronic chart, set up and establish road net data structure and road network topology structure, the road net data structure comprises: node, highway section and road chain, road network topology structure are the connected relation between each road chain;
(2) handle floating car data, by heuristic path culculating method, according to the time and their the driving path of position data calculating of each Floating Car record.
The present invention's advantage compared with prior art is: the present invention utilizes the connective topological structure of road network and vehicle location to put next most possible bar driving path of formed directed line segment heuristic search vehicle, and then the road of selecting carried out the projection coupling, effectively improved treatment effeciency; Adopt continuously many GPS locator datas to unite on the other hand and infer,, improved algorithm accuracy by the continuity Characteristics of vehicle at road driving.
Description of drawings
Fig. 1 is a road net data structural representation of the present invention;
Fig. 2 is this right-angled intersection topological structure synoptic diagram;
Fig. 3 is that heuristic path culculating method of the present invention is realized block diagram;
Fig. 4 is a path culculating tree process flow diagram of the present invention;
Fig. 5 is the distribution schematic diagram of the location point of Floating Car of the present invention in a period of time on road network map;
Fig. 6 a to Fig. 6 e is path culculating tree example one diagram that Floating Car location point of the present invention generates;
Fig. 7 a, Fig. 7 b are path culculating tree example two diagrams that Floating Car location point of the present invention generates.
Embodiment
The inventive method is specific as follows:
(1) reads the road geographic information data of city navigation electronic chart, set up road net data structure and the road network topology structure set.
Floating car data is handled, at first needed the road geographic information data in city, and set up road net data structure and road network topology.The road net data structure is path space data and the Storage Format of road attribute data in computing machine, and it is the basic data that path culculating calculates, and the foundation to road net data structure of the present invention describes below.The foundation of road net data of the present invention comprises the foundation of node, highway section and road chain, and this structure is a kind of digital road map data structure based on node-highway section-Lu chain.Wherein:
A. the foundation of node
In the road network digital map database of general vector coding mode, road is stored in the mode of line or broken line object, is expressed as the ordered set of a series of coordinate points.By connecting these coordinate points, the road network in city just can form, these coordinate points are defined as node, node is divided into two kinds: the node that meets following feature is called connective node, 1) be road usual friendship crossing, 2) the road starting point, 3) road terminal point, 4) inlet of road, the 4) outlet of road, the 5) point (these grades comprise: expressway, through street, trunk roads, secondary distributor road, branch road, alleyway and bypass and tune road etc.) that changes of category of roads; The node that does not meet connective node diagnostic is called ordinary node.As 3 ordinary nodes and 2 the connective nodes that illustrated among Fig. 1.
The data member that each node object comprises is as follows:
Node ID: the sequence number of each node in the road network identifies a unique node.
Node longitude: the longitude of node.
Node latitude: the latitude value of node.
Nodal community: the expression node is ordinary node or connective node.
B. the foundation in highway section
If there is a directed path between two adjacent nodes, this directed path is defined as the highway section so.The highway section is represented is unidirectional straight line road in the road network.As 4 highway sections dividing on the one-way road have been shown among Fig. 1.
The data member that each highway section object comprises is as follows:
Road section ID: the sequence number in each the bar highway section in the road network identifies a unique highway section.
The ID of highway section start node: ID number of the node of highway section reference position.
The ID of highway section terminal node: ID number of the node of highway section final position.
The ID of place, highway section road chain: the highway section can be on the road chain, the ID of this road chain number.
Road section length: the length of the road that the highway section covers.
The highway section direction: the direction value in highway section is the directed line segment of highway section start node and terminal node formation and the angle (clockwise direction, direction value value 0～360) of direct north.
Highway section attribute: the expression position of highway section on the chain of road, four kinds of attributes in unique highway section of the initial highway section of total road chain, middle-of-chain highway section, road, end stopping of chain highway section, road, road chain, as shown in fig. 1, highway section 1 is to stop the highway section, highway section 2 and 3 is middle highway sections, and highway section 4 is initial highway sections.
C. the foundation of road chain
If there is a directed path between two adjacent connective nodes, this directed path is defined as the road chain so.The highway section is represented is one-way road in the road network, may comprise some highway sections in the chain of road, identical with the highway section, and the road that expression can two way should be divided into two opposite road chains of direction according to the difference of direction.The road chain of dividing on the one-way road 1 has been shown among Fig. 1, and it comprises highway section 1, highway section 2, highway section 3, highway section, and other road chains that link to each other with road chain 1, comprise road chain 2, road chain 3, road chain 4, road chain 5, road chain 6.
The data member that each road chain object comprises is as follows:
Road chain ID: the sequence number of each the bar road chain in the road network identifies a unique road chain.
The ID of road start of chain node: ID number of the node of start of chain position, road.
The ID of road chain termination node: ID number of the node of chain termination position, road.
Road section ID array: the ID that is comprising each the bar highway section on the chain of road in this array.
Road chain length: the length of the road that the road chain covers.
Road chain directed line segment length: the length of the directed line segment that the start node of road chain and terminal node constitute, longitude and the latitude of establishing start node are respectively X1 and Y1, and longitude and the latitude of establishing terminal node are respectively X2 and Y2, and then the vector length of road chain is.
Road chain direction: the directed line segment that road chain Origin And Destination constitutes and the angle (clockwise direction, direction value value 0～360) of direct north (vector direction describes in detail in the vector definition).
Road chain attribute: the grade attribute of the road that expression road chain covers comprises attributes such as expressway, through street, trunk roads, secondary distributor road, branch road, alleyway and bypass and tune road.
Follow-up road chain ID array: the ID (follow-up highway section defines in the road network topology structure) that is comprising each follow-up highway section of bar of road chain in this array.
Before the road chain ID array that continues: the ID (the preceding highway section of continuing defines in the road network topology structure) that is comprising the highway section of continuing before each bar of road chain in this array.
The road network topology structure of the present invention design is the connected relation between the chain of showing the way, and the foundation to the road network topology structure describes below:
According to the connectedness of road network, the digit track line structure can be represented with the form of figure.In order to set up the topological relation between the chain of road, the road chain can be abstracted into the summit among the figure, article two, the annexation of road chain becomes the limit among the figure, Fig. 2 has shown the right-angled intersection topological structure, shown in Fig. 2 (a), owing to have connective node, divided 8 road chains according to the right-angled intersection that do not coexist of direction.According to the connectedness between the chain of adjacent road, last road chain of road chain be called this road chain before the road chain that continues, a back road chain of road chain is called the follow-up road chain of this road chain, as shown in Fig. 2 (b), the follow-up road chain of road chain 1 is a road chain 4, road chain 5 and road chain 7; The road chain that continues before the road chain 7 is a road chain 1, road chain 3 and road chain 6.
(2) handle floating car data, by heuristic path culculating method, according to the time and their the driving path of position data calculating of each Floating Car record.
A. floating car data explanation
What path culculating method was handled is some the interior GPS locator datas of a period of time of Floating Car record, and every GPS locator data comprises: the longitude of the vehicle location of time, GPS location and latitude, the direction of vehicle ', the speed of vehicle '.
The GPS locator data of each Floating Car is sorted according to time series respectively, be saved in respectively in the ordered set G separately, promptly G is some GPS locator datas set in a Floating Car a period of time, the input that it is handled as path culculating method.The formalization of G is illustrated as: G={g1, and g2 ... ..gn}, (0＜i＜n+1) is a GPS locator data record to gi, its data member comprises: Xi, Yi, Vi, Ti, (0＜i＜n+1), wherein Xi is the longitude of Floating Car GPS anchor point, and Yi is the latitude of Floating Car GPS anchor point, Vi is the travel direction of the Floating Car of GPS location, and Ti is the time of the GPS locator data of Floating Car record.
B. the path culculating method intermediate data structure that will use
-path culculating tree
According to the GPS locator data of Floating Car record, the institute of vehicle in a period of time might all be kept in the tree construction of constantly growing by driving path, and this tree is defined as path culculating and sets.Position data when foundation road network topology and Floating Car, when the driving path of Floating Car being inferred by path culculating method, the degree of depth of this tree and range will constantly increase, the road chain that in store vehicle may travel in the node and the matching result of Floating Car location point (are promptly done projection to the highway section of Floating Car location point on the chain of road of GPS location, projector distance between calculating location point and each highway section, if projector distance is less than maximum match error (generally being made as 40-100 rice) then produce matching result, subpoint is as the match point of floating vehicle travelling on road, if there are many highway sections to satisfy the condition that produces matching result on the chain of same road, the highway section of then selecting the projector distance minimum is as the highway section that matches).
The data structure show of the node of path culculating tree is as follows:
Father node position: the position of the father node of present node in the path culculating tree.
Self-position: the position of present node in the path culculating tree.
Road chain ID: the ID that is kept at road chain in the present node.
Matching result: the matching result of Floating Car GPS locator data comprises the highway section that matches and the longitude and latitude of the match point on the highway section; If do not obtain subpoint, then matching result is empty.
The data structure show of matching result is as follows:
Former GPS locator data: comprise the longitude and latitude of vehicle location point, time, direction.
The longitude of match point: the longitude of the subpoint of GPS location point on the highway section.
The latitude of match point: the latitude of the subpoint of GPS location point on the highway section.
Road section ID: the ID in the highway section at subpoint place.
The formation of-candidate matches result node
What preserve in the formation of candidate matches result node is the position of node in the path culculating tree of path culculating tree.
In the process of path culculating, to do spot projection to the highway section according to the location point of GPS locator data indication, calculate projector distance, with projector distance less than the subpoint of maximum match error (generally being made as 40-100 rice) as match point, i.e. the position of Floating Car on road.Every GPS locator data all may successfully match on many different road chains and (one only allow to produce a match point on the chain of road, if have many highway sections can produce match point on the chain of same road, then select the highway section of projector distance minimum to put match point the most) as unique coupling highway section and respective projection, produce a plurality of different candidate matches points, promptly have a plurality of matching results, thereby may correspond to the node of a plurality of path culculating trees.The position of these nodes in the path culculating tree is kept in the queue data structure, and this queue definitions is the formation of candidate matches result node.
-treat the expanding node formation
What treat to preserve in the expanding node formation is to treat expanding node, treats that expanding node comprises two data members: the node of path culculating tree and preserve road chain directed line segment length accumulative total and numerical value.
When the road chain of inferring that vehicle travelled between two location points, need expand the node of some path culculatings trees according to road network topology and constraint condition, these nodes are kept in the queue data structure, and this formation is called treats the expanding node formation.
C. directed line segment explanation
Get a point of fixity P1 (longitude of P1 and latitude are respectively X1 and Y1) from electronic chart, draw a line segment from P1 to certain some P2 (longitude of P2 and latitude are respectively X2 and Y2), direction is arranged and length is arranged, such line segment is called directed line segment, and note is done, and its length note is done | P1P2|, its direction value V is the angle (clockwise direction of it and direct north, direction value value 0～360), some P1 is called its initial point, and some P2 is called its terminal point.Simultaneously, the length that the distance definition between the P1,2 of P2 is.
D. map-matching method explanation
One or more GPS locator data in the GPS locator data set of Floating Car needs to carry out independently map match calculating sometimes, this process is: projection is done in the highway section of the road chain of the location point that the GPS locator data is write down on road network, projector distance between calculating location point and each highway section, if projector distance is less than maximum match error (generally being made as 40-100 rice) then produce matching result, subpoint is as the match point of Floating Car on road, if being arranged on the chain of same road, many highway sections satisfy the condition that produces matching result, the highway section of then selecting the projector distance minimum is as the highway section that matches, and respective projection point is as the unique match point corresponding to this road chain.
E. the concrete implementation step of heuristic path culculating method
At first get floating car data, deposit the GPS locator data of each Floating Car respectively, the GPS locator data of each Floating Car is put into respectively during each independently gathers, and the GPS locator data record in each set sorts according to time sequencing.
The data acquisition that needs the whole Floating Car of traversal carries out path culculating to the GPS locator data set of each Floating Car respectively and calculates.Following treatment step will apply to the GPS locator data set of each Floating Car, and the set of GPS locator data is designated as G.Fig. 3 shows the process flow diagram that path culculating calculates is carried out in the GPS locator data set of each Floating Car.Be detailed description below to treatment step:
-step 1. is got a GPS locator data among the G in chronological order, is designated as g.
-step 2. couple g carries out independently map match.
If-step 3. successfully obtains matching result, then forward step 4 to; Otherwise, judge whether also have untreated GPS locator data record among the G, if next bar GPS locator data of then getting the g among the G in chronological order is as g, and forward step 2 to, if not, then finish this processing.
-step 4. is inferred tree according to the matching result initialization path: if 1. have to a match point, then generate the matching result of this match point, and set up root node with the road chain and the matching result at match point place; 2. if obtain a plurality of candidate matches points, then generate an empty node as root node, according to the child node of a root node of each candidate matches dot generation, promptly generate the matching result of each candidate matches point then, and the road chain at associating match point place generates the child node of root node respectively.
-step 5. generates the formation of two candidate matches result node, is designated as q1 and q2, and the rapid node location that comprises matching result that generates of previous step is added among the q1 successively.
-step 6. judges whether also have untreated GPS locator data record among the G, if, then get next the bar GPS locator data record of the g among the G in chronological order, be designated as g ', if not, then finish this processing.
-step 7. empties candidate matches result node formation q2, and the element number of candidate matches result node formation q1 is recorded as n, and whole elements that q1 is contained copy to candidate matches result node formation q2.
Element a of-step 8. candidate matches result node formation q1 dequeue, n=n-1 gets the matching result in a indication node, obtain the match point of g, with this match point is starting point, and the position of representing with g ' is that terminal point is set up directed line segment L, calculates direction v (L) and the length d (L) of L.
-step 9. calculate between 2 of terminal point of the starting point of directed line segment L and its place road chain apart from d.
-step 10. relatively d whether more than or equal to v (L), if the road chain at starting point place that then uses vectorial L carries out the projection coupling as candidate road chain to the highway section on it, forwards for the 11st step to; , then do not forward for the 14th step to.
If-step 11. has successfully obtained match point, then generate matching result, road chain and the matching result that matches generated a path culculating tree node, as the child node of a corresponding node.The position of the child node that generates is added candidate matches result node formation q1, forward step 6 to; Success does not obtain match point, forwards for the 12nd step to.
-step 12. is extracted vehicle ' from the path culculating tree path
Concrete steps are:
From the path culculating tree that generates, can extract the driving trace of vehicle, the position of node in the path culculating tree that the matching result of the location point that the last item GPS locator data is write down and coupling road chain generate all is kept among the candidate matches result node formation q2, if there are a plurality of node locations among the q2, illustrate that then may there be many driving paths in Floating Car, the node of the element correspondence among each q2 upwards dates back to root node can obtain the path that vehicle that a road chain forms may travel.
Can choose unique one according to different selection rules for inferring the mulitpath that.Selection rule comprises:
A. mate the weights method:
In map match,, then can use the method for calculating the match point weights to pick out most possible one if there are many highway sections on the chain of road to satisfy the condition of coupling.This method of calculating the match point weights is as follows:
GPS anchor point to be matched is done projection near all highway sections, calculate the projector distance ri between GPS anchor point and each highway section, and the angle theta i between vehicle heading and highway section.Calculate the weights λ i of each projection match point: λ i=ω rri+ ω θ θ i, wherein, ω r, ω θ are respectively the weights calculating parameters of projector distance and angular separation, ω r+ ω θ=1.
Calculate the weights of the candidate matches point on every paths, add up then, a paths of selecting accumulative total weights minimum is as final path culculating result.
B. apart from the shortest method:
Calculate road that every paths comprises apart from length overall, a paths of chosen distance minimum is as the path culculating result.
-step 13. judges whether also have untreated tracing point among the G, if, get next the bar GPS position the record of the g ' among the G in chronological order, be designated as g, forwarded for the 2nd step to; , do not finish this processing.
The road chain that-step 14. may be travelled according to road network topology heuristic search vehicle, use the downward extensions path of these road chains to infer tree and the location point that g ' write down is carried out projection and mate, the node location that contains matching result that generates is added candidate matches result node formation q1.
Concrete steps: as shown in Figure 4, above-mentioned process to step 14 is as follows:
A. generate one and treat the expanding node formation, define a numerical value dt, dt=d uses the node of a correspondence and one of dt generation to treat expanding node, joins and treats the expanding node formation;
B. treat that one of expanding node formation dequeue treats the expanding node element, be designated as h;
C. the follow-up road chain to the road chain in the path culculating tree node that comprises among the h travels through, and calculates the poor of the direction of every follow-up road chain and v (L), select less than 90 or greater than 270 follow-up road chain as candidate road chain, the projection coupling is carried out in the highway section on it;
D. will obtain the child node of the node that h comprises that the road chain of match point and matching result generate, join during path culculating sets, the position of child node will be joined among the candidate matches result node formation q1; For the follow-up road chain that does not obtain match point, define a numerical value |, | value be numerical value and the follow-up road chain directed line segment length sum that comprises among the h;
E. whether judge I smaller or equal to 2*d (L), if use follow-up road chain to generate the child node of node that h comprises, join in the path culculating tree, use the child node and one of the numerical value I generation of harsh one-tenth to treat expanding node, join and treat the expanding node formation, forward 2 to; If not, directly forward step h to;
F. judge whether the expanding node formation is empty, if, stopping extensions path and infer tree, the expanding node formation is treated in deletion, enters step 15; Otherwise, forward step b to.
-step 15. judges whether n is 0, if not, then forwards for the 8th step to; If judge then whether the formation of candidate matches result node is empty, if then forwarded for the 12nd step to; If not, then forwarded for the 6th step to.
The present invention will be described in detail below in conjunction with specific embodiments.
Fig. 5 shows the distribution situation of location point on road network map of 7 the GPS locator data records of a Floating Car in a period of time, location point is designated as g1, g2, g3, g4, g5, g6, g7 according to time sequencing, road on the road network has been divided into the road chain and has been numbered, black squares among the figure has been represented the vehicle location point, red round dot has been represented the match point of vehicle location point on the chain of road, the directed line segment that on behalf of match point and next vehicle location point, red directed line segment constitute.
(1) according to the treatment scheme of the present invention to the Floating Car position data, at first g1 is carried out map match and handle, obtain the path culculating tree root node after the initialization shown in Fig. 6 a.
(2) according to the match point of g1 and the driving path of g2 supposition vehicle.Because the length of the directed line segment that the match point of g1 constitutes less than match point and the g2 of g1 to the distance between two points of the terminal point of road chain 1, and the difference of the direction of the direction of road chain 3 and directed line segment is less than 90 °, projection is done in highway section so use g2 satisfies the need on the follow-up road link chain 3 of chain 1, but do not obtain match point, the directed line segment length of road chain 3 and the match point of g1 are to 2 times of the length of the directed line segment distance between two points of the terminal point of road chain 1 and that constitute less than match point and the g2 of g1, therefore road chain 3 is generated the child node of root node, re-use the satisfy the need follow-up road link chain 4 and the highway section on the road chain 5 of chain 3 of g2 and do projection (direction of road chain 4 and road chain 5 and the angle of directed line segment are all less than 90 °) respectively, and obtain two match points, generate the path culculating tree shown in Fig. 6 b, node position in the path culculating tree that in store road chain 4 and road chain 5 generate among the candidate matches result node formation this moment q1.
(3) according to the match point of g2 and the driving path of g3 supposition vehicle.Use match point and the g3 of g2 on road chain 4 and road chain 5 to constitute directed line segment respectively.For the match point of g2 on road chain 4 and the directed line segment of g3 formation, be used for instructing the child node that generates road chain 4 corresponding node.Because g2 at the match point on the road chain 4 to the distance between two points of the terminal point of road chain 4 less than match point and the g3 directed line segment length that constitutes of g2 on road chain 4, so projection is done in the highway section of using g3 to satisfy the need on the follow-up road chain of chain 4, the difference of the angle of the direction of road chain 10 and directed line segment is greater than 90 ° in the follow-up road chain of road chain 4, do not satisfy the constraint condition on the direction, and the difference of the direction of road chain 11 and directed line segment satisfies condition less than 90 °, projection is done in the highway section of therefore using g3 to satisfy the need on the chain 11, do not obtain match point, but 2 times of the directed line segment length that the directed line segment length of road chain 11 and g2 constitute less than the match point on the road chain 4 and g3 to the distance between two points sum of the terminal point of road chain 4 at the match point on the road chain 4 use road chain 11 to generate the child node of road chains 4.Again the child node of using road chain 11 to generate is expanded, the follow-up road link chain 12 and the road chain 13 on road 11 all satisfy constraint condition on direction, through overmatching, on road chain 12, obtained match point, and the chain 13 that satisfies the need again is when expanding, the cumulative length sum of directed line segment length that adds the follow-up road link chain 23 of the chain 13 of setting out on a journey, will surpass g2 on road chain 4 match point and 2 times of the directed line segment length that constitutes of g3, therefore will stop to expand to road chain 13.For the match point of g2 on road chain 5 and the directed line segment of g3 formation, be used for instructing the child node that generates road chain 5 corresponding node.In like manner, the node at chain 5 places of satisfying the need is in a like fashion expanded after, generate the path culculating tree shown in Fig. 6 c, node position in the path culculating tree that in store road chain 12 and road chain 14 generate among the candidate matches result node formation this moment q1.
(4) according to the match point of g3 and the driving path of g4 supposition vehicle.Use match point and the g4 of g3 on road chain 12 and road chain 14 to constitute directed line segment respectively.For the match point of g3 on road chain 14 and the directed line segment of g4 formation, be used for instructing the child node that generates road chain 14 corresponding node.Because g3 at the match point on the road chain 14 to the distance between two points of the terminal point of road chain 14 greater than match point and the g4 directed line segment length that constitutes of g3 on road chain 14, so projection is carried out in the highway section of directly using g4 to satisfy the need on the chain 14, promptly obtains the match point of g4 on road chain 14.For the match point of g3 on road chain 12 and the directed line segment of g4 formation, be used for instructing the child node that generates road chain 12 corresponding node.Because g3 at the match point on the road chain 12 to the distance between two points of the terminal point of road chain 12 less than match point and the g4 directed line segment length that constitutes of g3 on road chain 12, and the difference of the direction of the follow-up road link chain 14 of road chain 12 and directed line segment satisfies condition less than 90 °, projection is carried out in highway section so use g4 satisfies the need on the chain 14, obtains the match point of g4 on road chain 14.So just generate the path culculating tree shown in Fig. 6 d, two different nodes position in the path culculating tree that in store road chain 14 generates among the candidate matches result node formation this moment q1.
(5) according to the match point of g4 and the driving path of g5 supposition vehicle.Use match point and the g5 formation directed line segment of g4 on road chain 14 that two nodes of the matching result of in store g4 are expanded respectively.Because g5 is bigger to the projector distance of each bar road chain, surpassed maximum match error (generally being made as 40-100 rice), can't obtain match point, so path culculating is set and is stopped growing after growing into the shape shown in Fig. 6 e.Next be exactly in the path culculating tree, to extract by g1, g2, g3, g4 and inferred the Floating Car traffic route that.Because two different nodes that the road chain 14 among the candidate matches result node formation q2 that duplicates shown in store Fig. 6 d generates position in the path culculating tree, therefore upwards date back to root node by these two nodes, two that just can obtain Floating Car may driving path.Can obtain unique driving path of vehicle again according to selection rule (the shortest method of distance or coupling weights method).
Because also have two GPS locator datas not processed, then can continue to infer the driving path of vehicle from g6, step is:
At first g6 is carried out map match and handle, obtain the initialized path culculating tree root node shown in Fig. 7 a;
Then, according to the match point of g6 and the driving path of g7 supposition vehicle.Use match point and the g7 of g6 on road chain 16 and road 17 to constitute directed line segment respectively.Process and above-described similar supposition process can generate the path culculating tree shown in Fig. 7 b, two different nodes position in the path culculating tree that in store road chain 18 generates among the candidate matches result node formation this moment q1.Next be exactly in the path culculating tree, to extract by g6, g7 and inferred the Floating Car traffic route that.
Claims (4)
1, be used to handle the heuristic path culculating method of large scale floating vehicle data, it is characterized in that realizing by following steps:
(1) according to the road geographic information data of city navigation electronic chart, set up and establish road net data structure and road network topology structure, the road net data structure comprises: node, highway section and road chain, road network topology structure are the connected relation between each road chain;
(2) handle floating car data, by heuristic path culculating method, according to the time and their the driving path of position data calculating of each Floating Car record.
2, the heuristic path culculating method that is used to handle large scale floating vehicle data according to claim 1, it is characterized in that: the step of described heuristic path culculating method is as follows:
(1) gets a GPS locator data among the GPS locator data set G in chronological order, be designated as g;
(2) g is carried out independently map match;
(3) if successfully obtain matching result, then forward step 4 to; Otherwise, judge whether also have untreated GPS locator data record among the G, if next bar GPS locator data of then getting the g among the G in chronological order is as g, and forward step 2 to, if not, then finish this processing;
(4) infer tree according to the matching result initialization path;
(5) generate the formation of two candidate matches result node, be designated as q1 and q2, add the rapid node location that comprises matching result that generates of previous step among the q1 successively;
(6) judge among the GPS locator data set G whether also have untreated GPS locator data record,, then get next the bar GPS locator data record of the g among the G in chronological order, be designated as g ',, then finish this processing if do not have if having;
(7) empty candidate matches result node formation q2, the element number of candidate matches result node formation q1 is recorded as n, whole elements that q1 is contained copy to candidate matches result node formation q2;
(8) element a of candidate matches result node formation q1 dequeue, n=n-1 gets the matching result in a indication node, obtain the match point of g, with this match point is starting point, and the position of representing with g ' is that terminal point is set up directed line segment L, calculates direction v (L) and the length d (L) of L;
(9) calculate between 2 of terminal point of the starting point of directed line segment L and its place road chain apart from d;
(10) relatively d whether more than or equal to v (L), if greater than, the road chain at starting point place that then uses vectorial L carries out the projection coupling as candidate road chain to the highway section on it, forwards for the 11st step to; If less than, then forwarded for the 14th step to;
(11) if successfully obtained match point, then generate matching result, road chain and the matching result that matches generated a path culculating tree node, as the child node of a corresponding node, the position of the child node that generates is added candidate matches result node formation q1, forward step 6 to; Success does not obtain match point, forwards for the 12nd step to;
(12) path of from the path culculating tree, extracting vehicle ';
(13) judge whether also have untreated tracing point among the G,, get next the bar GPS position the record of the g ' among the G in chronological order, be designated as g, forwarded for the 2nd step to if having; If no, finish this processing;
(14) the road chain that may travel according to road network topology heuristic search vehicle, use the downward extensions path of these road chains to infer tree and the location point that g ' write down is carried out projection and mate, the node location that contains matching result that generates is added candidate matches result node formation q1;
(15) judge whether n is 0, if not, then forwarded for the 8th step to; If judge then whether the formation of candidate matches result node is empty, if then forwarded for the 12nd step to; If not, then forwarded for the 6th step to.
3, the heuristic path culculating method that is used to handle large scale floating vehicle data according to claim 2, it is characterized in that: carry out independently to g that the method for map match is in the described step (2): projection is done in the highway section of the road chain of location point g on road network that is write down according to the GPS locator data, projector distance between calculating location point and each highway section, if projector distance is less than the maximum match error then produce matching result, subpoint is as the match point of Floating Car on road; If there are many highway sections to satisfy the condition that produces matching result on the chain of same road, the highway section of then selecting the projector distance minimum is as the highway section that matches, and respective projection point is as the unique match point corresponding to this road chain.
4, the heuristic path culculating method that is used to handle large scale floating vehicle data according to claim 2 is characterized in that: infer that according to the matching result initialization path method of tree is as follows in the described step (4):
(1) if having to a match point, then generates the matching result of this match point, and set up root node with the road chain and the matching result at match point place;
(2) if obtain a plurality of candidate matches points, then generate an empty node as root node, according to the child node of a root node of each candidate matches dot generation, promptly generate the matching result of each candidate matches point then, and the road chain at associating match point place generates the child node of root node respectively.
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