CN107945542A - Urban Road Green wavestrip decision support method and terminal based on floating car technology - Google Patents
Urban Road Green wavestrip decision support method and terminal based on floating car technology Download PDFInfo
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- CN107945542A CN107945542A CN201711179692.0A CN201711179692A CN107945542A CN 107945542 A CN107945542 A CN 107945542A CN 201711179692 A CN201711179692 A CN 201711179692A CN 107945542 A CN107945542 A CN 107945542A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/081—Plural intersections under common control
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Abstract
The present invention provides a kind of Urban Road Green wavestrip decision support method and terminal based on floating car technology, its method comprises the following steps：According to the data message of the multiple Floating Cars acquired, crossing location sets are obtained, the crossing location sets include the crossing position of multiple traffic lights；According to the crossing location sets, multiple sections are obtained；According to the data message of the multiple Floating Car, the average used time by all Floating Cars in each section is calculated, and calculate the vehicle flowrate in each section；If the difference of the average used time of two adjacent segments is in the range of default first time, and the difference of described two adjacent segments vehicle flowrates in the range of preset flow, then it is the section for being adapted for carrying out green wave band to judge described two adjacent segments.The present invention can provide accurate green wave band section for all kinds of transportation information service systems, effectively improve the traffic capacity of city major trunk roads, the parking rate and traffic delay of vehicle be reduced, to ensure road network operational efficiency.
Description
Technical field
The present invention relates to technical field of intelligent traffic, more particularly to a kind of Urban Road Green wavestrip based on floating car technology
Decision support method and terminal.
Background technology
Due to the limitation of city early stage planning, many urban road constructions are difficult to meet the volume of traffic that constantly increases, city
City arterial highway subjects huge traffic loading, and intersection of the China on urban road network arterial highway is mostly that signal control intersects
Mouthful, when carrying out single point signals control respectively, vehicle is frequently stopped at the intersection, therefore cause road network operational efficiency it is low,
The traffic problems such as trip delay.
The content of the invention
The technical problems to be solved by the invention are：The present invention provides a kind of Urban Road Green Wave based on floating car technology
Band decision support method and terminal, it is possible to increase the traffic capacity in each section, effectively alleviates traffic pressure.
In order to solve the above technical problem, the present invention provides a kind of Urban Road Green wavestrip based on floating car technology to determine
Plan supports method, comprises the following steps：
S1：According to the data message of the multiple Floating Cars acquired, crossing location sets, crossing position collection are obtained
Conjunction includes the crossing position of multiple traffic lights；
S2：According to the crossing location sets, multiple sections are obtained；
S3：According to the data message of the multiple Floating Car, the average use by all Floating Cars in each section is calculated
When, and calculate the vehicle flowrate in each section；
S4：If the difference of the average used time of two adjacent segments was preset in the range of first time, and described two adjacent
For the difference of section vehicle flowrate in the range of preset flow, then it is the road for being adapted for carrying out green wave band to judge described two adjacent segments
Section.
Present invention also offers a kind of Urban Road Green wavestrip decision support terminal based on floating car technology, including storage
Device, processor and storage on a memory and the computer program that can run on a processor, the processor execution journey
Following steps are realized during sequence：
S1：According to the data message of the multiple Floating Cars acquired, crossing location sets, crossing position collection are obtained
Conjunction includes the crossing position of multiple traffic lights；
S2：According to the crossing location sets, multiple sections are obtained；
S3：According to the data message of the multiple Floating Car, the average use by all Floating Cars in each section is calculated
When, and calculate the vehicle flowrate in each section；
S4：If the difference of the average used time of two adjacent segments was preset in the range of first time, and described two adjacent
For the difference of section vehicle flowrate in the range of preset flow, then it is the road for being adapted for carrying out green wave band to judge described two adjacent segments
Section.
Beneficial effects of the present invention are：
The present invention provides a kind of Urban Road Green wavestrip decision support method and terminal based on floating car technology, passes through two
The average used time of a adjacent segments and the vehicle flowrate of two adjacent segments, judge to be adapted for carrying out the section of green wave band, Neng Gouwei
All kinds of transportation information service systems provide accurate green wave band section, effectively improve the traffic capacity of city major trunk roads, reduce car
Parking rate and traffic delay, to ensure road network operational efficiency.Meanwhile carry out excavating traffic lights road using floating car data
Mouthful, without manned surveys, not only acquisition of information channel cost is low, but also information updating is reliable in time, and all kinds of traffic informations are taken
Business system important in inhibiting.
Brief description of the drawings
Fig. 1 is a kind of Urban Road Green wavestrip decision support method based on floating car technology according to the embodiment of the present invention
Key step schematic diagram；
Fig. 2 is a kind of Urban Road Green wavestrip decision support terminal based on floating car technology according to the embodiment of the present invention
Structure diagram；
Label declaration：
1st, memory；2nd, processor.
Embodiment
For the technology contents that the present invention will be described in detail, the objects and the effects, below in conjunction with embodiment and coordinate attached
Figure is explained in detail.
Fig. 1 is refer to, the present invention provides a kind of Urban Road Green wavestrip decision support method based on floating car technology,
Comprise the following steps：
S1：According to the data message of the multiple Floating Cars acquired, crossing location sets, crossing position collection are obtained
Conjunction includes the crossing position of multiple traffic lights；
S2：According to the crossing location sets, multiple sections are obtained；
S3：According to the data message of the multiple Floating Car, the average use by all Floating Cars in each section is calculated
When, and calculate the vehicle flowrate in each section；
S4：If the difference of the average used time of two adjacent segments was preset in the range of first time, and described two adjacent
For the difference of section vehicle flowrate in the range of preset flow, then it is the road for being adapted for carrying out green wave band to judge described two adjacent segments
Section.
As can be seen from the above description, by the average used time of two adjacent segments and the vehicle flowrate of two adjacent segments, judge
Go out to be adapted for carrying out the section of green wave band, accurate green wave band section can be provided for all kinds of transportation information service systems, effectively carried
The traffic capacity of high city major trunk roads, reduces the parking rate and traffic delay of vehicle, to ensure road network operational efficiency.Meanwhile profit
Excavation traffic light intersection is carried out with floating car data, without manned surveys, not only acquisition of information channel cost is low, but also information is more
It is new reliable in time, to all kinds of transportation information service systems important in inhibiting.
Further, the S1 is specially：
The data message of multiple Floating Cars is obtained, the data message includes the numbering of vehicle, Position, Velocity and Time
Point；
According to the data message of the multiple Floating Car, position of all Floating Car medium velocities where 0 is obtained, is obtained in place
Put set；
According to location sets, multiple doubtful crossing positions are obtained；
The mean residence time with each doubtful crossing position in all Floating Cars of pre-determined distance scope is obtained successively,
If mean residence time preserves doubtful crossing position in default crossing location sets in default second time range.
As can be seen from the above description, the positional information of traffic light intersection can be effectively obtained by the above method, excludes parking
The positions such as field, improve the accuracy of traffic light intersection judgement, and carry out excavation traffic light intersection using floating car data, are not required to
Manned surveys are wanted, reduce cost.
Further, " according to location sets, obtaining multiple doubtful crossing positions " is specially：
S01：A position in the location sets is obtained, obtains first position, and in the location sets described in deletion
First position；
S02：According to the first position, obtain in the location sets with the first position in the distance range
All second places, and delete the second place all in the location sets；
S03：If the number of all second places is more than predetermined number threshold value, according to the first position and all
The second place, obtains doubtful crossing position；
S04：Repeat step S01 to S03, until having deleted all elements of the location sets, and obtains multiple doubtful
Crossing position.
As can be seen from the above description, by the above method, it can extract to obtain car speed and make for 0 and the position largely assembled
It is easy and effective for doubtful crossing position, the above method.
Further, further included after the S4：
If certain a road section is there are multiple adjacent segments, and certain described a road section is averaged the used time from different adjacent segments respectively
Difference in the range of default first time, and certain described a road section difference from different adjacent segments vehicle flowrates respectively
In the range of preset flow, then the section of vehicle flowrate maximum in the multiple adjacent segments is obtained, export certain described a road section
Section with vehicle flowrate maximum is the optimal section for being adapted for carrying out green wave band.
As can be seen from the above description, when certain a road section and multiple adjacent segments are satisfied by road green wave band condition, with the section
With the section effect green wave band section of vehicle flowrate maximum, farthest alleviate urban traffic pressure to realize.
Further, a kind of Urban Road Green wavestrip decision support method based on floating car technology, further includes：
After traffic administration personnel confirm as the section of green wave band, the positional information in section after confirming is obtained；
According to the positional information, it is marked on default map, and uploads the cartographic information after mark.
As can be seen from the above description, by the above method, traffic administration personnel are facilitated to be managed green wave band, while driver
The cartographic information after mark is obtained also by network, to select optimal route to drive.
Fig. 2 is refer to, the present invention provides a kind of Urban Road Green wavestrip decision support terminal based on floating car technology, bag
Include memory 1, processor 2 and be stored in the computer program that can be run on memory 1 and on processor 2, the processor 2
Following steps are realized when performing described program：
S1：According to the data message of the multiple Floating Cars acquired, crossing location sets, crossing position collection are obtained
Conjunction includes the crossing position of multiple traffic lights；
S2：According to the crossing location sets, multiple sections are obtained；
S3：According to the data message of the multiple Floating Car, the average use by all Floating Cars in each section is calculated
When, and calculate the vehicle flowrate in each section；
S4：If the difference of the average used time of two adjacent segments was preset in the range of first time, and described two adjacent
For the difference of section vehicle flowrate in the range of preset flow, then it is the road for being adapted for carrying out green wave band to judge described two adjacent segments
Section.
Further, a kind of Urban Road Green wavestrip decision support terminal based on floating car technology, the S1
Specially：
The data message of multiple Floating Cars is obtained, the data message includes the numbering of vehicle, Position, Velocity and Time
Point；
According to the data message of the multiple Floating Car, position of all Floating Car medium velocities where 0 is obtained, is obtained in place
Put set；
According to location sets, multiple doubtful crossing positions are obtained；
The mean residence time with each doubtful crossing position in all Floating Cars of pre-determined distance scope is obtained successively,
If mean residence time preserves doubtful crossing position in default crossing location sets in default second time range.
Further, a kind of Urban Road Green wavestrip decision support terminal based on floating car technology, " according to position
Set is put, obtains multiple doubtful crossing positions " be specially：
S01：A position in the location sets is obtained, obtains first position, and in the location sets described in deletion
First position；
S02：According to the first position, obtain in the location sets with the first position in the distance range
All second places, and delete the second place all in the location sets；
S03：If the number of all second places is more than predetermined number threshold value, according to the first position and all
The second place, obtains doubtful crossing position；
S04：Repeat step S01 to S03, until having deleted all elements of the location sets, and obtains multiple doubtful
Crossing position.
Further, a kind of Urban Road Green wavestrip decision support terminal based on floating car technology, the S4
Further include afterwards：
If certain a road section is there are multiple adjacent segments, and certain described a road section is averaged the used time from different adjacent segments respectively
Difference in the range of default first time, and certain described a road section difference from different adjacent segments vehicle flowrates respectively
In the range of preset flow, then the section of vehicle flowrate maximum in the multiple adjacent segments is obtained, export certain described a road section
Section with vehicle flowrate maximum is the optimal section for being adapted for carrying out green wave band.
Further, a kind of Urban Road Green wavestrip decision support terminal based on floating car technology, further includes：
After traffic administration personnel confirm as the section of green wave band, the positional information in section after confirming is obtained；
According to the positional information, it is marked on default map, and uploads the cartographic information after mark.
The embodiment of the present invention one is：
The present invention provides a kind of Urban Road Green wavestrip decision support method based on floating car technology, including following step
Suddenly：
S1：According to the data message of the multiple Floating Cars acquired, crossing location sets, crossing position collection are obtained
Conjunction includes the crossing position of multiple traffic lights；
The S1 is specially：
The data message of multiple Floating Cars is obtained, the data message includes the numbering of vehicle, Position, Velocity and Time
Point；
According to the data message of the multiple Floating Car, position of all Floating Car medium velocities where 0 is obtained, is obtained in place
Put set；
According to location sets, multiple doubtful crossing positions are obtained；
The mean residence time with each doubtful crossing position in all Floating Cars of pre-determined distance scope is obtained successively,
If mean residence time preserves doubtful crossing position in default crossing location sets in default second time range.
Wherein, the data message of Floating Car is to obtain (to obtain wherein three months or three months from historian database
Data above), and extract the wherein numbering of vehicle, Position, Velocity and Time point；Above-mentioned time point uploads number for Floating Car
According to when time point, and Floating Car uploads data message to background server every default first time period, and background server will
Data are recorded in the historian database；
Preferably, the first time period is 10-30 seconds；The distance range is 0-100 meters, second time range
For 0-3 minutes；
" according to location sets, obtaining multiple doubtful crossing positions " is specially：
S01：A position in the location sets is obtained, obtains first position, and in the location sets described in deletion
First position；
S02：According to the first position, obtain in the location sets with the first position in the distance range
All second places, and delete the second place all in the location sets；
S03：If the number of all second places is more than predetermined number threshold value, according to the first position and all
The second place, obtains doubtful crossing position；
Wherein, since the huge number threshold value of trimestral data is 100,000；
S04：Repeat step S01 to S03, until having deleted all elements of the location sets, and obtains multiple doubtful
Crossing position.
S2：According to the crossing location sets, multiple sections are obtained；
S3：According to the data message of the multiple Floating Car, the average use by all Floating Cars in each section is calculated
When, and calculate the vehicle flowrate in each section；The average used time in each section being calculated is stored in default flat
In equal used time set, and the vehicle flowrate in each section being calculated is stored in default wagon flow duration set.
S4：Gathered according to the average used time, obtain the average used time of two adjacent segments；According to the wagon flow quantity set
Close, obtain the vehicle flowrate of two adjacent segments；If the difference of the average used time of two adjacent segments is in default first time scope
It is interior, and the difference of described two adjacent segments vehicle flowrates in the range of preset flow, then it is suitable to judge described two adjacent segments
The section for realizing green wave band is closed, and the positional information that described two adjacent segments are aligned is stored in default green wave band section collection
In conjunction, so that traffic administration personnel gather the judgement and selection for carrying out green wave band section according to the green wave band section.
Wherein, it is preferred that default first time scope is -3-3 seconds；Preset flow scope is -50-50/minutes；
S5：If certain a road section is there are multiple adjacent segments, and certain described a road section is averaged from different adjacent segments respectively
The difference of used time in the range of default first time, and certain described a road section respectively from different adjacent segments vehicle flowrates
Difference then obtains the section of vehicle flowrate maximum in the multiple adjacent segments in the range of preset flow, and output is described a certain
Section and the section of vehicle flowrate maximum are the optimal section for being adapted for carrying out green wave band；
S6：After traffic administration personnel confirm as the section of green wave band, the positional information in section after confirming is obtained；
According to the positional information, it is marked on default map, and uploads the cartographic information after mark.
The embodiment of the present invention two is：
A kind of Urban Road Green wavestrip decision support terminal based on floating car technology of present invention offer, including memory,
Processor and storage on a memory and the computer program that can run on a processor, during the processor execution described program
Realize following steps：
S1：According to the data message of the multiple Floating Cars acquired, crossing location sets, crossing position collection are obtained
Conjunction includes the crossing position of multiple traffic lights；
The S1 is specially：
The data message of multiple Floating Cars is obtained, the data message includes the numbering of vehicle, Position, Velocity and Time
Point；
According to the data message of the multiple Floating Car, position of all Floating Car medium velocities where 0 is obtained, is obtained in place
Put set；
According to location sets, multiple doubtful crossing positions are obtained；
The mean residence time with each doubtful crossing position in all Floating Cars of pre-determined distance scope is obtained successively,
If mean residence time preserves doubtful crossing position in default crossing location sets in default second time range.
Wherein, the data message of Floating Car is to obtain (to obtain wherein three months or three months from historian database
Data above), and extract the wherein numbering of vehicle, Position, Velocity and Time point；Above-mentioned time point uploads number for Floating Car
According to when time point, and Floating Car uploads data message to background server every default first time period, and background server will
Data are recorded in the historian database；
Preferably, the first time period is 10-30 seconds；The distance range is 0-100 meters, second time range
For 0-3 minutes；
" according to location sets, obtaining multiple doubtful crossing positions " is specially：
S01：A position in the location sets is obtained, obtains first position, and in the location sets described in deletion
First position；
S02：According to the first position, obtain in the location sets with the first position in the distance range
All second places, and delete the second place all in the location sets；
S03：If the number of all second places is more than predetermined number threshold value, according to the first position and all
The second place, obtains doubtful crossing position；
Wherein, since trimestral data are huge, the number threshold value is 100,000；
S04：Repeat step S01 to S03, until having deleted all elements of the location sets, and obtains multiple doubtful
Crossing position.
S2：According to the crossing location sets, multiple sections are obtained；
S3：According to the data message of the multiple Floating Car, the average use by all Floating Cars in each section is calculated
When, and calculate the vehicle flowrate in each section；The average used time in each section being calculated is stored in default flat
In equal used time set, and the vehicle flowrate in each section being calculated is stored in default wagon flow duration set.
S4：Gathered according to the average used time, obtain the average used time of two adjacent segments；According to the wagon flow quantity set
Close, obtain the vehicle flowrate of two adjacent segments；If the difference of the average used time of two adjacent segments is in default first time scope
It is interior, and the difference of described two adjacent segments vehicle flowrates in the range of preset flow, then it is suitable to judge described two adjacent segments
The section for realizing green wave band is closed, and the positional information that described two adjacent segments are aligned is stored in default green wave band section collection
In conjunction, so that traffic administration personnel gather the judgement and selection for carrying out green wave band section according to the green wave band section.
Wherein, it is preferred that default first time scope is -3-3 seconds；Preset flow scope is -50-50/minutes；
S5：If certain a road section is there are multiple adjacent segments, and certain described a road section is averaged from different adjacent segments respectively
The difference of used time in the range of default first time, and certain described a road section respectively from different adjacent segments vehicle flowrates
Difference then obtains the section of vehicle flowrate maximum in the multiple adjacent segments in the range of preset flow, and output is described a certain
Section and the section of vehicle flowrate maximum are the optimal section for being adapted for carrying out green wave band；
S6：After traffic administration personnel confirm as the section of green wave band, the positional information in section after confirming is obtained；
According to the positional information, it is marked on default map, and uploads the cartographic information after mark.
The embodiment of the present invention three is：
1st, compiled using Floating Car board information terminal in vehicle travel process with a fixed time period T, collection vehicle
Number u, position l, speed v, time point t, obtains travelling data sequence, and the travelling data sequence of collection is passed through mobile cellular communication
Technology is sent to data center；
2nd, data center analyzes the speed of driving, and extraction car speed is 0 and a large amount of aggregations (being more than 100,000)
Junction node, and this node location is stored in traffic light intersection set R；
3rd, judge the mean residence time of each junction node vehicle whether in default time range (0-3 minutes)；If
It is no, then delete the junction node；If so, then perform step 4；
4th, determine traffic light intersection, and preserve traffic light intersection node in set R1；
5th, data center analyzes travelling data, estimates driving and passes through the average used time of every a road section and per all the way
The vehicle flowrate of section, and it is stored in driving average area used time set W and section driving flow set U；
6th, judge the difference for the average area used time that driving passes through adjacent two section whether in the range of default first time；
If so, then perform step 7；If it is not, then delete the section；
7th, judge the difference by the vehicle flowrate in adjacent two section whether in the range of default vehicle flowrate；If so, then perform
Step 8；If it is not, then delete the section；
8th, determine to be adapted for carrying out the part way (section of 6 and 7 conditional of obtaining step) of green wave band, and the section is protected
It is stored in the set Z of part green wave band section；
If the 9, certain a road section is there are multiple adjacent segments, and certain described a road section is averagely used from different adjacent segments respectively
When difference in the range of default first time, and certain described a road section difference from different adjacent segments vehicle flowrates respectively
Value then obtains the section of vehicle flowrate maximum in the multiple adjacent segments in the range of preset flow, certain is all the way described in output
The section of section and vehicle flowrate maximum is the optimal section for being adapted for carrying out green wave band；
10th, traffic administration personnel carry out judgement selection, determine to be adapted for carrying out the section of green wave band.
In conclusion the present invention provides a kind of Urban Road Green wavestrip decision support method and end based on floating car technology
End, by the average used time of two adjacent segments and the vehicle flowrate of two adjacent segments, judges to be adapted for carrying out the road of green wave band
Section, accurate green wave band section can be provided for all kinds of transportation information service systems, effectively improves the current energy of city major trunk roads
Power, reduces the parking rate and traffic delay of vehicle, to ensure road network operational efficiency.Can effectively it be obtained by the above method red green
The positional information at lamp crossing, excludes the positions such as parking lot, improves the accuracy of traffic light intersection judgement, and utilize Floating Car number
According to excavation traffic light intersection is carried out, without manned surveys, not only acquisition of information channel cost is low, but also information updating in time may be used
Lean on, to all kinds of transportation information service systems important in inhibiting, while facilitate traffic administration personnel to be managed green wave band,
Driver is facilitated to obtain the cartographic information after mark by network, to select optimal route to drive.
The foregoing is merely the embodiment of the present invention, is not intended to limit the scope of the invention, every to utilize this hair
The equivalents that bright specification and accompanying drawing content are made, are directly or indirectly used in other related technical areas, similarly
It is included within the scope of the present invention.
Claims (10)
1. a kind of Urban Road Green wavestrip decision support method based on floating car technology, it is characterised in that comprise the following steps：
S1：According to the data message of the multiple Floating Cars acquired, crossing location sets are obtained, in the crossing location sets
Crossing position including multiple traffic lights；
S2：According to the crossing location sets, multiple sections are obtained；
S3：According to the data message of the multiple Floating Car, the average used time by all Floating Cars in each section is calculated, with
And calculate the vehicle flowrate in each section；
S4：If the difference of the average used time of two adjacent segments is in the range of default first time, and described two adjacent segments
For the difference of vehicle flowrate in the range of preset flow, then it is the section for being adapted for carrying out green wave band to judge described two adjacent segments.
2. a kind of Urban Road Green wavestrip decision support method based on floating car technology according to claim 1, it is special
Sign is that the S1 is specially：
The data message of multiple Floating Cars is obtained, the data message includes the numbering of vehicle, Position, Velocity and Time point；
According to the data message of the multiple Floating Car, position of all Floating Car medium velocities where 0 is obtained, obtains position collection
Close；
According to location sets, multiple doubtful crossing positions are obtained；
The mean residence time with each doubtful crossing position in all Floating Cars of pre-determined distance scope is obtained successively, if flat
The equal residence time in default second time range, then preserves doubtful crossing position in default crossing location sets.
3. a kind of Urban Road Green wavestrip decision support method based on floating car technology according to claim 2, it is special
Sign is that " according to location sets, obtaining multiple doubtful crossing positions " is specially：
S01：A position in the location sets is obtained, obtains first position, and described first is deleted in the location sets
Position；
S02：According to the first position, the institute with the first position in the distance range in the location sets is obtained
Some second places, and delete the second place all in the location sets；
S03：If the number of all second places is more than predetermined number threshold value, according to the first position and all second
Position, obtains doubtful crossing position；
S04：Repeat step S01 to S03, until having deleted all elements of the location sets, and obtains multiple doubtful crossings
Position.
4. a kind of Urban Road Green wavestrip decision support method based on floating car technology according to claim 1, it is special
Sign is, is further included after the S4：
If certain a road section is there are multiple adjacent segments, and certain described a road section is averaged the difference of used time from different adjacent segments respectively
Value is in the range of default first time, and difference of certain described a road section respectively from different adjacent segments vehicle flowrates exists
In the range of preset flow, then the section of vehicle flowrate maximum in the multiple adjacent segments is obtained, export certain described a road section and car
The section of maximum flow is the optimal section for being adapted for carrying out green wave band.
5. a kind of Urban Road Green wavestrip decision support method based on floating car technology according to claim 1, it is special
Sign is, further includes：
After traffic administration personnel confirm as the section of green wave band, the positional information in section after confirming is obtained；
According to the positional information, it is marked on default map, and uploads the cartographic information after mark.
6. a kind of Urban Road Green wavestrip decision support terminal based on floating car technology, including memory, processor and storage
On a memory and the computer program that can run on a processor, it is characterised in that when the processor performs described program
Realize following steps：
S1：According to the data message of the multiple Floating Cars acquired, crossing location sets are obtained, in the crossing location sets
Crossing position including multiple traffic lights；
S2：According to the crossing location sets, multiple sections are obtained；
S3：According to the data message of the multiple Floating Car, the average used time by all Floating Cars in each section is calculated, with
And calculate the vehicle flowrate in each section；
S4：If the difference of the average used time of two adjacent segments is in the range of default first time, and described two adjacent segments
For the difference of vehicle flowrate in the range of preset flow, then it is the section for being adapted for carrying out green wave band to judge described two adjacent segments.
7. a kind of Urban Road Green wavestrip decision support terminal based on floating car technology according to claim 6, it is special
Sign is that the S1 is specially：
The data message of multiple Floating Cars is obtained, the data message includes the numbering of vehicle, Position, Velocity and Time point；
According to the data message of the multiple Floating Car, position of all Floating Car medium velocities where 0 is obtained, obtains position collection
Close；
According to location sets, multiple doubtful crossing positions are obtained；
The mean residence time with each doubtful crossing position in all Floating Cars of pre-determined distance scope is obtained successively, if flat
The equal residence time in default second time range, then preserves doubtful crossing position in default crossing location sets.
8. a kind of Urban Road Green wavestrip decision support terminal based on floating car technology according to claim 7, it is special
Sign is that " according to location sets, obtaining multiple doubtful crossing positions " is specially：
S01：A position in the location sets is obtained, obtains first position, and described first is deleted in the location sets
Position；
S02：According to the first position, the institute with the first position in the distance range in the location sets is obtained
Some second places, and delete the second place all in the location sets；
S03：If the number of all second places is more than predetermined number threshold value, according to the first position and all second
Position, obtains doubtful crossing position；
S04：Repeat step S01 to S03, until having deleted all elements of the location sets, and obtains multiple doubtful crossings
Position.
9. a kind of Urban Road Green wavestrip decision support terminal based on floating car technology according to claim 6, it is special
Sign is, is further included after the S4：
If certain a road section is there are multiple adjacent segments, and certain described a road section is averaged the difference of used time from different adjacent segments respectively
Value is in the range of default first time, and difference of certain described a road section respectively from different adjacent segments vehicle flowrates exists
In the range of preset flow, then the section of vehicle flowrate maximum in the multiple adjacent segments is obtained, export certain described a road section and car
The section of maximum flow is the optimal section for being adapted for carrying out green wave band.
10. a kind of Urban Road Green wavestrip decision support terminal based on floating car technology according to claim 6, it is special
Sign is, further includes：
After traffic administration personnel confirm as the section of green wave band, the positional information in section after confirming is obtained；
According to the positional information, it is marked on default map, and uploads the cartographic information after mark.
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