CN107270922A - A kind of traffic accident space-location method based on POI indexes - Google Patents
A kind of traffic accident space-location method based on POI indexes Download PDFInfo
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Abstract
The invention provides a kind of traffic accident space-location method based on POI indexes, report the location information in information according to all accident texts and POI is screened, obtain the centre coordinate of accident spot；Map match is carried out to the centre coordinate of accident spot, centre coordinate is calculated to the vertical range of road chain, is fixed the road chain in radius；To the road chain of all one directions traveling in electronic map, its wagon flow direction is calculated；Its wagon flow direction and category of roads is obtained, POI concordance lists are constituted；Information is reported for Accident text, accident spot and wagon flow direction is extracted；Accident spot is first searched in the concordance list of structure, is then screened according to wagon flow direction and category of roads, it is final to obtain matching road chain.As long as the present invention can complete to position according to accident spot, wagon flow direction and category of roads to accident spot, hunting zone is small, and matching speed is fast.
Description
Technical field
The invention belongs to technical field of intelligent traffic, more particularly to a kind of traffic accident space orientation based on POI indexes
Method.
Background technology
It is that Public Security Department receives warning message, with artificial when occurring accident in some place that accident text, which reports information,
The mode of report, reports accident information in broadcasting station and informs driver, alleviate traffic congestion pressure.But report text message because
For without fixed report framework, the ambiguity with human factor, and also text message can not directly on the electronic map
Emerge from, be just difficult to analyze influence situation of the accident for road conditions.Space orientation is carried out to the accident text message of report,
So that accident spot is positioned on the electronic map, the road chain number of accident spot is obtained, and according to the topological structure of road chain number,
Spatial dimension is obtained, is to study the basis that traffic accident causes road condition change.
A kind of " traffic offence accident spot method for rapidly positioning based on the PGIS " (application number/patent No.：
201210200518.0) path space geography information is configured based on PGIS (Police Geographic Information System) in, and passed through
The specific milimeter number and rice number of user's input obtain the electronic coordinate of traffic offence accident spot by complicated calculations, this method according to
Rely the information in PGIS platforms and user's input, calculate more complicated.
" the automatic record and localization method of the semantic expression information of traffic accident site " (application number/patent No.：
201210297477.1) place record is realized to the selection in section, lateral, orientation, distance, reference point etc. and fixed according to user in
Position, user is compared many with the interaction of system, is not suitable for the positioning to reporting text message.
The localization method of existing accident spot and user mutual are more, dependent on the input information of user, these inputs
Information is not comprehensive enough in artificial text reports information, the traffic accident site positioning proposed by the invention based on POI indexes
Method is simple, and the information dependence provided for user is small, can quickly navigate to the road chain number of accident spot.
The packet locality data containing POI and electronic map information used.POI locality datas：Include institute in city scope
Some interest point informations, wherein except comprising the traffic location information such as access, viaduct, also comprising some gas stations,
The communal facility information such as hospital, school, and restaurant, life shop, the GPS information in the related place of the life such as amusement hall, altogether 131
Ten thousand.Need, according to accident spot information, to be screened.Electronic map information：Include road chain information all in city, every
Possess the information such as the big grid number of sampling point information, map, road chain number, road direction and category of roads on the chain of road.According to sampled point
Data, can calculate the wagon flow direction on unidirectional road.
The method used is comprising the big grid number navigated to according to the gps coordinate of traffic location in map and based on small grid
Quick map-matching algorithm (the application number/the patent No. of road network institutional framework：200610112433.1)：Can be by traffic location
Gps coordinate is quickly navigated in 9 small grids.
The method that the gps coordinate of traffic location navigates to big grid number：Map six coded systems of big grid use, example
Such as 595673 be a big grid coding of geography.Six codings can be denoted as abcdef.The meaning of its different position such as table 1 below institute
Show.
The big grid coding mode of table 1
It is according to the calculation of the geographical grid coding in its place of calculation of longitude ＆ latitude：
Latitude coding LatCode=latitudes * 1.5 is rounded again
Longitude coding LonCode=longitudes -60 are rounded again
Big grid 1/8th is divided with what longitude and latitude was encoded for unit.
The fractional part * 8 that y1=latitudes coding is abandoned when rounding is rounded again
The fractional part * 8 that x1=longitudes coding is abandoned when rounding is rounded again
The content of the invention
The technology of the present invention solves problem：In order to overcome the problems such as depending on user's input and complicated calculations, and propose a kind of
Space-location method is carried out to accident spot based on POI concordance lists, as long as being according to accident spot, wagon flow direction and category of roads
Accident spot can be completed to position, hunting zone is small, and matching speed is fast.
The technology of the present invention solution：A kind of traffic accident space-location method based on POI indexes, passes through traffic administration
The traffic accident text of office's issue reports information, the wagon flow direction of place where the accident occurred point and scene is obtained, with reference to electronically
Diagram data and POI locality datas, build POI concordance lists, search for the road chain number of accident spot, are what follow-up traffic accident influenceed
Base support is done in the research such as spatial dimension, duration.Method flow diagram is as shown in Figure 1.
Comprise the following steps：
The first step：POI (Point of Interest) location information is screened, specific traffic location is extracted
Gps coordinate；
Second step：Map match is carried out to the gps coordinate of specific traffic location, obtained in the range of gps coordinate 30m
Road chain set；
3rd step：File, obtains category of roads according to the map, calculates the wagon flow direction of road；
4th step：The traffic location obtained according to second step and road chain set, search for every in the chain set of road in the third step
Wagon flow direction and category of roads corresponding to individual road chain number, build POI concordance lists, include four fields：Traffic location, road chain
Number, category of roads and wagon flow direction；
5th step：Information is reported according to accident, traffic accident information is extracted；
6th step：The traffic accident information obtained by the 5th step, accident is matched in the POI concordance lists that the 4th step is built
Place, wagon flow direction；Finally according to category of roads the selection result, final space orientation is obtained.
The second step, is implemented as follows：
(21) the GPS point coordinate information of all traffic locations of the first step is traveled through, big grid number is first navigated in map, then
Map-matching algorithm according to small lattice road network institutional framework navigates to small grid number, obtains all road chain collection in small grid
Close；
(22) each road chain in the set of road chain is all a line, is formed by connecting by multiple sampled points.Travel through road chain collection
Road chain in conjunction, calculates the spherical distance of traffic location gps coordinate and each sampled point on the chain of road, chooses beeline and is used as friendship
Logical place gps coordinate generates traffic location gps coordinate to the distance set of road chain to the distance of road chain；
(23) if traffic location gps coordinate to road chain set Road chain distance be less than 30m, output traffic location and
Corresponding road chain number.
3rd step, is implemented as follows：
(31) the road chain in electronic map information includes grid number, road chain number, category of roads, current directional information, passes through
Direction represents that respectively 0,1,2 and 3,0 representative are not investigated, and being defaulted as twocouese can pass through with 4 numerals；1 represents road
For two-way road, both direction can pass through；2 represent one-way trip, and pass through the origin-to-destination that direction is road chain；3 also represent
One-way trip, terminal of the direction for road chain that pass through is to starting point, if the current direction of road chain is 2, order obtains the sampling of road chain
The longitude and latitude of point；If road chain passes through, direction is 3, and backward obtains the longitude and latitude of road chain number up-sampling point, if this road
Current direction be 0 or 1, do not consider wagon flow direction；
(32) after the longitude and latitude for obtaining road consecutive numbers up-sampling point, the latitude and longitude information and most of first sampled point is taken on the chain of road
The latitude and longitude information of latter sampled point, calculates the difference of longitude and difference of latitude between 2 points.Because sampled point longitude and latitude is accurate to
5 after decimal point, acquiescence road chain head and the tail sampled point does not have the situation of identical longitude and latitude；
(33) if the absolute value of difference of longitude is more than the absolute value of difference of latitude, then it is assumed that the trend on this road is between east and west
To if difference of longitude>0, then the wagon flow direction of road chain is east orientation west；If difference of longitude<0, then the wagon flow direction of road chain for west to
East；
(34) if difference of latitude absolute value is more than difference of longitude absolute value, then it is assumed that the trend on this road is North and South direction, such as
Fruit difference of latitude>0, then the wagon flow direction of road chain is north orientation south；If difference of latitude<0, then the wagon flow direction of road chain is south orientation north；
In 5th step, it is implemented as follows：
(51) contain location information and wagon flow directional information in the text message that accident is reported, first with the participle bag increased income and
The intrinsic dictionary of traffic carries out cutting word processing to the text message of report；
(52) order traversal is carried out to obtained vocabulary, finds position of the keyword of accident in concordance list, accident is closed
Keyword comprising accident, scratch, failure, scrape and hit, spontaneous combustion, knock into the back, drop；
(53) determine behind accident keyword index position, be accustomed to according to text, first to accident keyword index position before
All words searched in the intrinsic dictionary of traffic, if there is accident information is just obtained, and read next accident text；Such as
Fruit is not present, and is just searched after index position, if searched, obtains accident spot, if search is less than illustrating this
The position for reporting text report is not present with traffic dictionary, being updated after can manually proofreading to traffic dictionary；
(54) accident information obtained is included：Location information, wagon flow direction, lane information.
In the step (22), the spherical distance calculation formula between GPS point is as follows：
Traffic location gps coordinate is：C(x0, y0), road chain sample point coordinate is A (x1, y1)
GPS longitude and latitude is first converted into radian：
Traffic location radian coordinate is：C(radX0, radY0), road chain sample point coordinate is A (radX1, radY1)
Earth radius R=6378137
α=radY1-radY2
B=radX1-radX2
6th step, is implemented as follows：
(61) traffic is matched in the traffic accident information obtained by the 5th step, the POI concordance lists set up in the 4th step
Place, finds the POI indexes set of identical traffic location, further according to the car flow information in traffic accident information, screens POI indexes
Set；
(62) according to the spot of traffic accident information, category of roads is determined, according to category of roads the selection result, is obtained most
Whole space orientation.
The advantage of the present invention compared with prior art is：
(1) the input information of interactive accident spot need not be carried out with reporting personnel.
(2) the road chain number of place where the accident occurred point is obtained, it is not necessary to carry out complicated calculations.
(3) only need to be based on electronic map and POI data information, it is not necessary to by other platforms.
Brief description of the drawings
Fig. 1 is the sterically defined method flow diagram of traffic accident based on POI indexes；
Fig. 2 is POI point locations to small grid schematic diagram；
Fig. 3 is calculating POI Dian Dao roads chain sampled point apart from schematic diagram；
Fig. 4 is wagon flow direction acquisition methods flow chart；
Fig. 5 is acquisition traffic accident information flow chart.
Embodiment
As shown in figure 1, the traffic accident space-location method of the invention based on POI indexes is as follows：
The first step：Traffic location center gps coordinate is obtained.According to road information, POI location informations are screened, carried
Take out the GPS point coordinate of specific traffic location.
Second step：Traffic location centre coordinate map match
(1) GPS information in all places that the traversal first step is obtained, the big grid location of map is carried out to this GPS point, then
According to small lattice road network institutional framework, 9 small grids (referring to 200610112433.1) related to the GPS are navigated to, such as Fig. 2
It is shown.
(2) distance of all road chains in the point and nine small grids is calculated.Each road chain has GPS sampling point informations,
Its all GPS sampled point is obtained according to road chain number, traffic location center GPS and each GPS sampled points spherical distance, choosing is calculated
Beeline is taken as traffic location GPS to road chain distance.Spherical distance calculation formula between GPS point is as follows：
(3) distance of all road chains in the point and 9 small grids is calculated.Each road chain has sampling point information, according to
Road chain number obtains its all sampled point, calculates the spherical distance of traffic location gps coordinate and each sampled point, chooses beeline
It is used as the distance of traffic location gps coordinate to the road chain.Spherical distance between traffic location gps coordinate and sampled point
Distance calculation formula is as follows：
As shown in figure 3, traffic location gps coordinate is：C(x0, y0), road chain sample point coordinate is respectively：
A1(x1, y1), A2(x2, y2), A3(x3, y3), A4(x4, y4), earth radius R=6378137 is first by GPS longitude and latitude
Be converted to radian：Traffic location radian coordinate is：C(radX0, radY0), road
Chain sampled point A1Radian coordinate be：(radX1, radY1),
A=radY1-radY2
B=radY1-radY2
Because road chain contains multiple sampled points, there are multiple distance values, traffic between traffic location gps coordinate and sampled point
The distance between place C to road chain A is defined as：DISTANCECA.Traffic location C and road chain sampled point A1, A2, A3, A4Between
Distance is respectively：d1, d2, d3, d4.D among these distances2Distance is most short, so from d2As traffic location C to road chain A it
Between distance.
DISTANCECA=d2
(3) if the distance of traffic location center GPS to the road chain is less than 30m, the traffic location is exported and corresponding
Road chain number.
3rd step：Map road chain wagon flow direction is obtained to obtain
(1) the road chain in electronic map information, includes attribute information：Grid number, road chain number, category of roads, current direction
Etc. information.If the current direction of this road is 2 or 3, for unidirectional road, if road direction is 2, sequentially obtain
Take the longitude and latitude of the GPS sampled points on the chain number of road；If road direction is 3, the GPS samplings on the chain number of road are reversely obtained
The longitude and latitude of point.If the current direction of this road is 0 or 1, for two-way road, wagon flow direction is not considered.Some roads
Road tendency is：Northwest, northeast, southwest, the southeast, these directions do not consider, only consider east-west direction tendency and North and South direction tendency.
(2) order obtains all GPS sampling point informations on the chain of road, take on the chain of road the latitude and longitude information of first sampled point and
The latitude and longitude information of last sampled point.Calculate the difference of longitude and difference of latitude between 2 points.GPS longitudes and latitudes are accurate to decimal point
5 afterwards, road chain head and the tail GPS sampled points do not have the situation of identical longitude and latitude.
(3) if the absolute value of difference of longitude is more than the absolute value of difference of latitude, then it is assumed that the substantially trend on this road is thing
Direction, if difference of longitude>0, then the wagon flow direction of road chain is east orientation west；If difference of longitude<0, then the wagon flow direction of road chain is west
Eastwards.
(4) if difference of latitude absolute value is more than difference of longitude absolute value, then it is assumed that the substantially trend on this road is North and South direction,
If difference of latitude>0, then the wagon flow direction of road chain is north orientation south；If difference of latitude<0, then the wagon flow direction of road chain is south orientation north.
Calculate wagon flow direction flow chart for example as shown in Figure 4.
4th step：Build POI concordance lists
According to the traffic location and road chain number obtained in second step, the map electronic information in wagon flow direction is obtained in the 3rd step
Wagon flow direction and category of roads corresponding to the chain number of middle search road, build POI concordance lists, include four fields：Traffic location, road
Chain number, category of roads and wagon flow direction.
5th step：Report in information and select traffic accident information.To text message according to participle bag and the word of traffic location
Storehouse carries out cutting, obtains word list.The keyword position about accident, the keyword on accident are searched in word list
There is following statement by the statistics to accident text message：Accident, failure, scrape and hit, spontaneous combustion, knock into the back, drop.Get keyword
Position after, place and wagon flow direction are searched before keyword position, if getting accident spot and wagon flow direction, is stopped
Only search；Otherwise enter line search after keyword position, if searching result, exported, if text message is said
Method is not clear and definite enough, extracts and does not come out traffic location or wagon flow direction, then this, which plays accident, can not carry out space orientation, read next
Bar accident information.Flow chart is as shown in Figure 5.
6th step：According to accident spot and wagon flow direction and category of roads, found in POI concordance lists and accordingly meet bar
The road chain number of part.If searching matching road chain, position successfully, if not searching specified circuit chain in POI concordance lists
Number, then the location information of this accident is lacked in POI, reads next accident information.
With reference to specific embodiment again to the detailed description of the invention.
1st, screened according to urban traffic accident place in POI data, obtain POI places；Such as Madian Flyover：Obtain it
GPS point coordinate is：(116.3804,39.96817).
2nd, navigated to according to Madian Flyover center gps coordinate, the map-matching algorithm based on small lattice road network institutional framework small
Grid number, obtains all road chain set in small grid.
Road Lian Yu centers gps coordinate distance in set is following (interception part)：
| Road chain number | Distance |
| 59567350173911 | 4.9115593 |
| 59567300681052 | 5.5821333 |
| 59567350173914 | 6.9895267 |
| 59567300677000 | 7.1791806 |
| 59567312676374 | 7.7923665 |
| 59567300666673 | 8.9055573 |
| 59567350173912 | 12.966893 |
| 59567350173913 | 14.924163 |
| 59567300671462 | 19.464306 |
| 59567300676159 | 19.533117 |
| 59567387757507 | 20.257863 |
| 59567300680551 | 20.774972 |
| 59567300680554 | 22.328519 |
| 59567314095212 | 23.377091 |
| 59567300671454 | 28.050505 |
| 59567387757517 | 28.050505 |
| 59567314095210 | 30.649508 |
| 59567312676373 | 30.860383 |
| 59567300671461 | 33.042658 |
| 59567387757516 | 34.571205 |
| 59567300676160 | 36.465611 |
| 59567300687289 | 36.816878 |
| 59567300680583 | 42.199368 |
Chosen distance is less than 30m road chain number, as shown in the table：
| Place | Road chain number |
| Madian Flyover | 59567300666673 |
| Madian Flyover | 59567300671454 |
| Madian Flyover | 59567300671462 |
| Madian Flyover | 59567300676159 |
| Madian Flyover | 59567300677000 |
| Madian Flyover | 59567300680551 |
| Madian Flyover | 59567300680554 |
| Madian Flyover | 59567300681052 |
| Madian Flyover | 59567312676374 |
| Madian Flyover | 59567314095212 |
| Madian Flyover | 59567350173911 |
| Madian Flyover | 59567350173912 |
| Madian Flyover | 59567350173913 |
| Madian Flyover | 59567350173914 |
| Madian Flyover | 59567387757507 |
| Madian Flyover | 59567387757517 |
3rd, road wagon flow direction is obtained.Such as road chain number：59567300680551, its current direction is 3, in electronically picture and text
Inverted sequence obtains its sampled point for (116.38062,39.96809) in part, (116.38123,39.96811), (116.38187,
39.96813)。
(1) difference of longitude of first point and last sampled point is calculated
Δ lng=116.38062-116.38187=-0.00125
(2) difference of latitude of first point and last sampled point is calculated
Δ lat=39.96809-39.96813=-0.00004
(3) thus the trend of this road chain for west eastwards
4th, according to the road chain number obtained in 2, correspondence electronic map information extracts wagon flow direction and category of roads, forms POI
Concordance list, comprising：Place, road chain number, category of roads, wagon flow direction.Madian Flyover concordance list is as follows：
| Place | Road chain number | Category of roads | Wagon flow direction |
| Madian Flyover | 59567300666673 | 0102|010c | W-E |
| Madian Flyover | 59567300671454 | 030a | S-N |
| Madian Flyover | 59567300671462 | 030a | N-S |
| Madian Flyover | 59567300676159 | 030a | S-N |
| Madian Flyover | 59567300677000 | 0102|010c | S-N |
| Madian Flyover | 59567300680551 | 0102|010c | W-E |
| Madian Flyover | 59567300680554 | 0102|010c | E-W |
| Madian Flyover | 59567300681052 | 0102|010c | N-S |
| Madian Flyover | 59567312676374 | 0102|010c | E-W |
| Madian Flyover | 59567314095212 | 030a | W-E |
| Madian Flyover | 59567350173911 | 0002|0003|000c | N-S |
| Madian Flyover | 59567350173912 | 0002|000c | N-S |
| Madian Flyover | 59567350173913 | 0002|000c | S-N |
| Madian Flyover | 59567350173914 | 0002|0003|000c | S-N |
| Madian Flyover | 59567387757507 | 030a | E-W |
| Madian Flyover | 59567387757517 | 030a | W-E |
5th, accident information is given：2016/5/10 15:04:16, North 3rd Ring Road Madian Flyover western direction, fast lane thing eastwards
Therefore, rear car tail of the queue drains into the Ji raft of pontoons.
(1) word segmentation processing is first carried out, participle list is obtained：North 3rd Ring Road, Madian Flyover, west eastwards, direction, fast lane, thing
Therefore, rear car, tail of the queue, row, to, the Ji raft of pontoons.
(2) accident keyword " accident " is found, location information is searched before this word, is respectively：North 3rd Ring Road, Madian
Bridge, west eastwards, fast lane.
(3) the search in information in all POI concordance lists, obtains the place of matching：Madian Flyover；
Directional information table for (east orientation west, west eastwards, south orientation north, north orientation south), acquisition match wagon flow direction：West is eastwards.
6th, space orientation：
(1) first according to wagon flow direction, all road chains of all west eastwards are obtained
(2) further according to category of roads, bypass information is not present in text message, so selection main road road chain
59567300666673 and 59567300680551.
Above example is provided just for the sake of the description purpose of the present invention, and is not intended to limit the scope of the present invention.This
The scope of invention is defined by the following claims.The various equivalent substitutions that do not depart from spirit and principles of the present invention and make and repair
Change, all should cover within the scope of the present invention.
Claims (6)
1. a kind of traffic accident space-location method based on POI indexes, it is characterised in that comprise the following steps：
The first step：POI (Point of Interest) location information is screened, the GPS for extracting specific traffic location is sat
Mark；
Second step：Map match is carried out to the gps coordinate of specific traffic location, the road chain in the range of gps coordinate 30m is obtained
Set；
3rd step：File, obtains category of roads according to the map, calculates the wagon flow direction of road；
4th step：The traffic location obtained according to second step and road chain set, search for each road in the chain set of road in the third step
Wagon flow direction and category of roads corresponding to chain number, build POI concordance lists, include four fields：Traffic location, road chain number, road
Road grade and wagon flow direction；
5th step：Information is reported according to accident, traffic accident information is extracted；
6th step：The traffic accident information obtained by the 5th step, in the POI concordance lists that the 4th step is built with matching accident
Point, wagon flow direction；Finally according to category of roads the selection result, final space orientation is obtained.
2. the traffic accident space-location method according to claim 1 based on POI indexes, it is characterised in that：Described
Two steps, are implemented as follows：
(21) the GPS point coordinate information of all traffic locations of the first step is traveled through, big grid number is first navigated in map, according still further to
The map-matching algorithm of small lattice road network institutional framework navigates to small grid number, obtains all road chain set in small grid；
(22) each road chain in the set of road chain is all a line, is formed by connecting by multiple sampled points.Travel through in the chain set of road
Road chain, calculate the spherical distance of each sampled point on traffic location gps coordinate and road chain, choose beeline as traffic
Point gps coordinate generates traffic location gps coordinate to the distance set of road chain to the distance of road chain；
(23) if the distance of traffic location gps coordinate to road chain set Road chain is less than 30m, output traffic location and correspondingly
Road chain number.
3. the traffic accident space-location method according to claim 1 based on POI indexes, it is characterised in that：Described
Three steps, are implemented as follows：
(31) the road chain in electronic map information is comprising grid number, road chain number, category of roads, current directional information, direction of passing through
Represented with 4 numerals, respectively 0,1,2 and 3,0 representative is not investigated, and being defaulted as twocouese can pass through；1 represents road to be double
Xiang Lu, both direction can pass through；2 represent one-way trip, and pass through the origin-to-destination that direction is road chain；3 also represent unidirectionally
Current, terminal of the direction for road chain that pass through is to starting point, if the current direction of road chain is 2, order obtains road chain sampled point
Longitude and latitude；If road chain passes through, direction is 3, and backward obtains the longitude and latitude of road chain number up-sampling point；If this road is logical
Line direction is 0 or 1, does not consider wagon flow direction；
(32) after the longitude and latitude for obtaining road consecutive numbers up-sampling point, take on the chain of road first sampled point latitude and longitude information and last
The latitude and longitude information of individual sampled point, calculates the difference of longitude and difference of latitude between 2 points；Because sampled point longitude and latitude is accurate to decimal
5 after point, acquiescence road chain head and the tail sampled point does not have the situation of identical longitude and latitude；
(33) if the absolute value of difference of longitude is more than the absolute value of difference of latitude, then it is assumed that the trend on this road is east-west direction, such as
Fruit difference of longitude>0, then the wagon flow direction of road chain is east orientation west；If difference of longitude<0, then the wagon flow direction of road chain for west eastwards；
(34) if difference of latitude absolute value is more than difference of longitude absolute value, then it is assumed that the trend on this road is North and South direction, if latitude
Degree is poor>0, then the wagon flow direction of road chain is north orientation south；If difference of latitude<0, then the wagon flow direction of road chain is south orientation north.
4. the traffic accident space-location method according to claim 1 based on POI indexes, it is characterised in that：Described
In five steps, it is implemented as follows：
(51) location information and wagon flow directional information are contained in the text message that accident is reported, first with the participle bag and traffic increased income
Intrinsic dictionary carries out cutting word processing to the text message of report；
(52) order traversal is carried out to obtained vocabulary, finds position of the keyword of accident in concordance list, accident keyword
Comprising accident, scratch, failure, scrape and hit, spontaneous combustion, knock into the back, drop；
(53) determine behind accident keyword index position, be accustomed to according to text, first to the institute before accident keyword index position
There is word to be searched in the intrinsic dictionary of traffic, if there is just acquisition accident information, and read next accident text；If no
In the presence of, just after index position search, if searched, obtain accident spot, if search less than, illustrate this report
The position that text is reported is not present with traffic dictionary, being updated after can manually proofreading to traffic dictionary；
(54) accident information obtained is included：Location information, wagon flow direction, lane information.
5. the traffic accident space-location method according to claim 2 based on POI indexes, it is characterised in that：The step
Suddenly in (22), the spherical distance calculation formula between GPS point is as follows：
Traffic location gps coordinate is：C(x0, y0), road chain sample point coordinate is A (x1, y1) GPS longitude and latitude is first converted into arc
Degree：
Traffic location radian coordinate is：C(radX0, radY0), road chain sample point coordinate is A (radX1, radY1) earth radius R=
6378137
A=radY1-radY2
B=radX1-radX2
6. the traffic accident space-location method according to claim 1 based on POI indexes, it is characterised in that：Described
Six steps, are implemented as follows：
(61) traffic location is matched in the traffic accident information obtained by the 5th step, the POI concordance lists set up in the 4th step,
The POI indexes set of identical traffic location is found, further according to the car flow information in traffic accident information, screening POI index set；
(62) according to the spot of traffic accident information, category of roads is determined, according to category of roads the selection result, obtains final
Space orientation.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108320515A (en) * | 2018-04-04 | 2018-07-24 | 公安部交通管理科学研究所 | A kind of traffic accident site road network Auto-matching method of calibration and system |
| CN109215338A (en) * | 2018-06-27 | 2019-01-15 | 杭州叙简科技股份有限公司 | A kind of Beidou gps track of vehicle management system and its method based on gridding |
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| CN110060472A (en) * | 2019-04-09 | 2019-07-26 | 浙江大华技术股份有限公司 | Road traffic accident localization method, system, readable storage medium storing program for executing and equipment |
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| CN113701763A (en) * | 2020-05-20 | 2021-11-26 | 百度在线网络技术（北京）有限公司 | Method and apparatus for generating information |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1908588A (en) * | 2006-08-17 | 2007-02-07 | 北京航空航天大学 | Fast map matching method based on small lattice road network organization and structure |
| JP2008157885A (en) * | 2006-12-26 | 2008-07-10 | Pioneer Electronic Corp | Information guide device, navigation device, information guide method, navigation method, information guide program, navigation program, and recording medium |
| JP2009133666A (en) * | 2007-11-29 | 2009-06-18 | Aisin Aw Co Ltd | Navigation device |
| CN101807196A (en) * | 2010-01-08 | 2010-08-18 | 北京世纪高通科技有限公司 | Method and device for searching information |
| CN102364545A (en) * | 2011-10-12 | 2012-02-29 | 北京世纪高通科技有限公司 | Method, device and system for inquiring road conditions |
| CN102521969A (en) * | 2011-12-20 | 2012-06-27 | 北京世纪高通科技有限公司 | Positioning method of traffic event information and apparatus thereof |
| CN104183144A (en) * | 2013-05-20 | 2014-12-03 | 北京百度网讯科技有限公司 | Real-time traffic condition information generating method and system thereof |
| CN104820721A (en) * | 2015-05-26 | 2015-08-05 | 厦门雅迅网络股份有限公司 | Method for broadcasting traffic emergency accidents based on landmarks and mileages |
| CN105787110A (en) * | 2016-03-23 | 2016-07-20 | 苏州数字地图信息科技股份有限公司 | Positioning method and device based on spatial search |
| CN106504746A (en) * | 2016-10-28 | 2017-03-15 | 普强信息技术（北京）有限公司 | A kind of method for extracting structuring traffic information from speech data |
-
2017
- 2017-06-15 CN CN201710451696.3A patent/CN107270922B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1908588A (en) * | 2006-08-17 | 2007-02-07 | 北京航空航天大学 | Fast map matching method based on small lattice road network organization and structure |
| JP2008157885A (en) * | 2006-12-26 | 2008-07-10 | Pioneer Electronic Corp | Information guide device, navigation device, information guide method, navigation method, information guide program, navigation program, and recording medium |
| JP2009133666A (en) * | 2007-11-29 | 2009-06-18 | Aisin Aw Co Ltd | Navigation device |
| CN101807196A (en) * | 2010-01-08 | 2010-08-18 | 北京世纪高通科技有限公司 | Method and device for searching information |
| CN102364545A (en) * | 2011-10-12 | 2012-02-29 | 北京世纪高通科技有限公司 | Method, device and system for inquiring road conditions |
| CN102521969A (en) * | 2011-12-20 | 2012-06-27 | 北京世纪高通科技有限公司 | Positioning method of traffic event information and apparatus thereof |
| CN104183144A (en) * | 2013-05-20 | 2014-12-03 | 北京百度网讯科技有限公司 | Real-time traffic condition information generating method and system thereof |
| CN104820721A (en) * | 2015-05-26 | 2015-08-05 | 厦门雅迅网络股份有限公司 | Method for broadcasting traffic emergency accidents based on landmarks and mileages |
| CN105787110A (en) * | 2016-03-23 | 2016-07-20 | 苏州数字地图信息科技股份有限公司 | Positioning method and device based on spatial search |
| CN106504746A (en) * | 2016-10-28 | 2017-03-15 | 普强信息技术（北京）有限公司 | A kind of method for extracting structuring traffic information from speech data |
Non-Patent Citations (5)
| Title |
|---|
| 国家测绘地理信息局职业技能鉴定指导中心组织: "《测绘综合能力》", 30 April 2014, 测绘出版社 * |
| 多米尼克·J.迪斯顿: "《飞机及其环境的建模与仿真 第1卷 平台运动学和综合环境》", 30 April 2015, 航空工业出版社 * |
| 姚新平等: "《学科那些事儿 高中地理那些事儿》", 30 September 2015, 吉林摄影出版社 * |
| 张林等: "《车道级路径引导***》", 31 August 2014, 哈尔滨工程大学出版社 * |
| 欧冬秀: "《交通信息技术 第2版》", 31 March 2014, 同济大学出版社 * |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109990791A (en) * | 2017-12-30 | 2019-07-09 | ***通信集团辽宁有限公司 | Method, apparatus, equipment and the medium that road data extracts |
| CN109990791B (en) * | 2017-12-30 | 2021-04-13 | ***通信集团辽宁有限公司 | Method, apparatus, device and medium for road data extraction |
| CN110160535A (en) * | 2018-02-11 | 2019-08-23 | 高德信息技术有限公司 | A kind of road matching method and device |
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| CN109215338A (en) * | 2018-06-27 | 2019-01-15 | 杭州叙简科技股份有限公司 | A kind of Beidou gps track of vehicle management system and its method based on gridding |
| CN109841057A (en) * | 2018-11-07 | 2019-06-04 | 厦门卫星定位应用股份有限公司 | A kind of concern car tracing method based on GNSS |
| CN109993971A (en) * | 2019-03-27 | 2019-07-09 | 江苏智通交通科技有限公司 | A method of promoting traffic accident site locating accuracy |
| WO2020192123A1 (en) * | 2019-03-27 | 2020-10-01 | 江苏智通交通科技有限公司 | Method for improving accuracy of positioning traffic accident site |
| CN109993971B (en) * | 2019-03-27 | 2021-09-17 | 江苏智通交通科技有限公司 | Method for improving positioning accuracy of traffic accident site |
| CN110060472A (en) * | 2019-04-09 | 2019-07-26 | 浙江大华技术股份有限公司 | Road traffic accident localization method, system, readable storage medium storing program for executing and equipment |
| CN110515942A (en) * | 2019-07-12 | 2019-11-29 | 同济大学 | A kind of storage and search method serializing lane line map |
| CN110515942B (en) * | 2019-07-12 | 2023-08-04 | 同济大学 | Storage and retrieval method of serialized lane line map |
| CN110375762A (en) * | 2019-08-13 | 2019-10-25 | 福建工程学院 | A kind of method and device for assisting planning guidance path |
| CN113701763A (en) * | 2020-05-20 | 2021-11-26 | 百度在线网络技术（北京）有限公司 | Method and apparatus for generating information |
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