CN105389982B - Urban intersection congestion event detection and method for dissipating based on FCD - Google Patents
Urban intersection congestion event detection and method for dissipating based on FCD Download PDFInfo
- Publication number
- CN105389982B CN105389982B CN201510775510.0A CN201510775510A CN105389982B CN 105389982 B CN105389982 B CN 105389982B CN 201510775510 A CN201510775510 A CN 201510775510A CN 105389982 B CN105389982 B CN 105389982B
- Authority
- CN
- China
- Prior art keywords
- congestion
- detected
- intersection
- entrance direction
- intersection entrance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
Landscapes
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
The present invention provides a kind of urban intersection congestion event detection and method for dissipating based on FCD, gps data including being uploaded in real time according to Floating Car obtains Floating Car in the average overall travel speed and running time associated by intersection entrance direction to be detected on section, judge whether the average overall travel speed is less than the congestion threshold speed in intersection entrance direction to be detected, judge whether the running time is more than the several times in intersection entrance direction signal cycle to be detected simultaneously, and then determine the jam situation in intersection entrance direction to be detected, congestion dissipation is carried out to intersection entrance direction to be detected in good time, update the traffic behavior in intersection entrance direction to be detected.The inventive method is simple, it is easy to accomplish, non-disposable judgement congestion, the contingency of congestion judgement is eliminated, judges to consider whether congestion dissipates while congestion, eliminates the situation that intersection is constantly in congestion status, consider influence of the integrative design intersection to traffic congestion, the degree of accuracy is high.
Description
Technical field
The present invention relates to intersection traffic state inspection field, specifically a kind of urban intersection based on FCD is gathered around
Stifled event detection and method for dissipating.
Background technology
Urban traffic blocking brings serious challenge, automatic traffic event detection to the traffic administration of modern city
（AID）Technology provides possibility to solve Urban Traffic Jam Based.Existing most AID methods are both for public at a high speed
Road or city expressway, seldom there is parking phenomenon in these roads, and urban area is due to the presence of Intersections, parking
Wait is inevitable phenomenon, therefore these AID algorithms are difficult directly to be applied.It is existing in addition to be based on floating car data（FCD）
Incident Detection Algorithm all do not account for influence of the Controlling Traffic Signals in Urban Roads to traffic congestion event intuitively, and city
Intersection congestion is the core of city management, it is therefore necessary to design it is a kind of consider urban traffic signal control based on
FCD urban intersection congestion event detection and method for dissipating.
The content of the invention
It is real it is an object of the invention to provide a kind of urban intersection congestion event detection and method for dissipating based on FCD
The purpose of existing urban intersection jam alarming.
The technical scheme is that：
A kind of urban intersection congestion event detection and method for dissipating based on FCD, comprise the following steps：
（1）Obtain congestion threshold speed and the signal period in intersection entrance direction to be detected；
（2）Same Floating Car is filtered out in the current detection cycle associated by intersection entrance direction to be detected on section
Paired GPS point position data, judge whether a number K for all Floating Cars corresponding to GPS point position data in pairs is more than and preset threshold
Value, if so, then performing step（3）, if it is not, then entering next detection cycle；The GPS point position data in pairs refer to currently
In detection cycle same Floating Car in first GPS point position data associated by intersection entrance direction to be detected on section and
Last GPS point position data；
（3）According to the paired GPS point position data of certain Floating Car, current detection cycle interior this Floating Car is calculated to be checked
Average overall travel speed associated by test cross prong Way on section, and it is to be checked to judge whether the average overall travel speed is less than
The congestion threshold speed of test cross prong Way in, if so, then performing step（4）, if it is not, then performing congestion dissipation strategy, root
According to congestion dissipation situation, the traffic behavior in intersection entrance direction to be detected is updated；
（4）This Floating Car is calculated in the running time associated by intersection entrance direction to be detected on section, and is judged
Whether the running time is more than M times of intersection entrance direction signal cycle to be detected, if so, then performing step（5）If
It is no, then perform congestion and dissipate strategy, according to congestion dissipation situation, update the traffic behavior in intersection entrance direction to be detected；
（5）Whether K Floating Car all judges to complete, if so, then judging that intersection to be detected enters in the current detection cycle
The mouth doubtful congestion in direction, performs step（6）, if it is not, then return to step（3）, next Floating Car is judged；
（6）J continuous detection cycles are detected successively, judges that the intersection entrance direction to be detected is doubtful and gathers around
It is stifled whether to continue J detection cycle, if so, intersection entrance direction to be detected congestion is then judged, by intersection entrance to be detected
The traffic behavior in direction is updated to congestion, if it is not, congestion dissipation strategy is then performed, it is to be detected according to congestion dissipation situation, renewal
The traffic behavior in intersection entrance direction.
The described urban intersection congestion event detection and method for dissipating based on FCD, the congestion dissipate strategy specifically
For：If the traffic behavior in intersection entrance direction to be detected is congestion, doubtful congestion is revised as, if intersection to be detected
The traffic behavior of Way in is doubtful congestion, then be revised as it is unimpeded, if the traffic shape in intersection entrance direction to be detected
State is unimpeded, then keeps constant.
The described urban intersection congestion event detection and method for dissipating based on FCD, the step（2）In, GPS point position
Data are uploaded in real time by Floating Car.
The described urban intersection congestion event detection and method for dissipating based on FCD, the step（4）In, M >=2.
The described urban intersection congestion event detection and method for dissipating based on FCD, the step（6）In, J >=2.
Beneficial effects of the present invention are：
（1）The jam situation Main Basiss Floating Car in intersection entrance direction is associated by intersection entrance direction on section
Average overall travel speed and running time judged that method is simple and clear, it is easy to accomplish；
（2）The congestion in intersection entrance direction is divided into doubtful congestion and congestion, non-disposable judgement congestion, eliminates congestion
The contingency of judgement；
（3）Judge the congestion in intersection entrance direction while consider whether congestion dissipates, eliminate intersection and be constantly in
The situation of congestion status；
（4）Consider influence of the integrative design intersection to traffic congestion, the degree of accuracy is higher；
（5）The GPS point position data uploaded in real time using Floating Car are calculated, and have real-time.
Brief description of the drawings
Fig. 1 is flow chart of the method for the present invention；
The congestion detection that Fig. 2 is the present invention calculates and congestion dissipation flow chart.
Embodiment
Below in conjunction with the accompanying drawings the present invention is further illustrated with specific embodiment.
As shown in figure 1, a kind of urban intersection congestion event detection and method for dissipating based on FCD, comprise the following steps：
S1, the GPS point position data that Floating Car uploads are obtained in real time.
S2, the GPS point position data obtained in real time are pre-processed.
S3, GPS point position data intersection map match：The GPS point position data obtained in real time are matched in road network segmental arc,
Then it is the GPS point position data after matching and corresponding road network segmental arc are associated with intersection.
S4, intersection congestion detection calculate：
As shown in Fig. 2 concrete processing procedure is as follows：
S41, the congestion threshold speed for obtaining intersection entrance direction to be detected and signal period.
S42, same Floating Car is filtered out in the current detection cycle in section associated by intersection entrance direction to be detected
On paired GPS point position data, judge whether a number K for all Floating Cars corresponding to GPS point position data in pairs is more than or equal to
The default smallest sample number K for judging congestion0, if so, step S43 is then continued executing with, if it is not, then illustrating in the current detection cycle
As the floating vehicle number deficiency of sample, accurate result, the Current traffic in intersection entrance direction to be detected can not be judged
State does not update, and goes successively to next detection cycle and is judged.
Section associated by intersection entrance direction to be detected refer to intersection to be detected and an adjacent upper intersection it
Between section, paired GPS point position data refer to that same Floating Car is in intersection entrance side to be detected in the current detection cycle
To first GPS point position data on associated section and last GPS point position data.
S43, in the case where Floating Car quantity meets to require, each Floating Car is carried out by judging.First according to certain
The paired GPS point position data of Floating Car, this Floating Car is calculated in the current detection cycle in intersection entrance direction to be detected
Average overall travel speed on associated section, and whether the average overall travel speed for judging to be calculated enters less than intersection to be detected
The congestion threshold speed in mouth direction, if so, step S44 is then continued executing with, if it is not, then illustrating test cross to be checked in the current detection cycle
Prong Way in is unimpeded, can perform congestion dissipation strategy, according to congestion dissipation situation, updates intersection entrance direction to be detected
Traffic behavior.
S44, the paired GPS point position data further according to this Floating Car, calculate this Floating Car and enter in intersection to be detected
Whether the running time associated by mouth direction on section, the running time for judging to be calculated are more than intersection entrance side to be detected
To the M of signal period（M >=2, determined according to each city actual traffic situation）Times, i.e., this Floating Car rests on test cross to be checked
Time associated by prong Way on section whether more than M signal period, if so, then continue executing with step S45, if
It is no, then illustrate that intersection entrance direction to be detected is unimpeded in the current detection cycle, can perform congestion dissipation strategy, disappeared according to congestion
The situation of dissipating, update the traffic behavior in intersection entrance direction to be detected.
S45, whether K Floating Car all judges to complete, if so, then can determine that intersection to be detected in the current detection cycle
The doubtful congestion of Way in, continues executing with step S46, if it is not, then return to step S43, continues to sentence next Floating Car
It is disconnected.
S46, comprehensive J（J≥2）Individual detection cycle, judges whether above-mentioned doubtful jam situation continue for J detection cycle,
If so, then can determine that intersection entrance direction to be detected congestion, the traffic behavior in intersection entrance direction to be detected is updated to
Congestion, if it is not, then performing congestion dissipation strategy, according to congestion dissipation situation, update the traffic in intersection entrance direction to be detected
State.
S5, intersection congestion, which are dissipated, to be judged：
The traffic behavior of intersection is divided into unimpeded, doubtful congestion and congestion, over time, it is necessary to according to traffic
Actual conditions carry out the dissipation of congestion.Dissipation strategy is mainly：In intersection congestion detects calculating process, when judging to need
When execution congestion dissipates tactful, if the traffic behavior in intersection entrance direction to be detected is congestion, doubtful gather around is revised as
It is stifled, if the traffic behavior in intersection entrance direction to be detected is doubtful congestion, be revised as it is unimpeded, if intersection to be detected
The traffic behavior of Way in is unimpeded, then keeps constant.
Embodiment described above is only that the preferred embodiment of the present invention is described, not to the model of the present invention
Enclose and be defined, on the premise of design spirit of the present invention is not departed from, technical side of the those of ordinary skill in the art to the present invention
The various modifications and improvement that case is made, it all should fall into the protection domain of claims of the present invention determination.
Claims (5)
1. a kind of urban intersection congestion event detection and method for dissipating based on FCD, it is characterised in that comprise the following steps：
（1）Obtain congestion threshold speed and the signal period in intersection entrance direction to be detected；
（2）Filter out same Floating Car in the current detection cycle associated by intersection entrance direction to be detected on section into
To GPS point position data, judge whether a number K for all Floating Cars corresponding to the data of GPS point position in pairs is more than predetermined threshold value, if
It is then to perform step（3）, if it is not, then entering next detection cycle；The GPS point position data in pairs refer to current detection
Same Floating Car is in first GPS point position data associated by intersection entrance direction to be detected on section and last in cycle
One GPS point position data；
（3）According to the paired GPS point position data of same Floating Car, current detection cycle interior this Floating Car is calculated to be detected
Average overall travel speed associated by intersection entrance direction on section, and it is to be detected to judge whether the average overall travel speed is less than
The congestion threshold speed in intersection entrance direction, if so, then performing step（4）, if it is not, congestion dissipation strategy is then performed, according to
Congestion dissipation situation, update the traffic behavior in intersection entrance direction to be detected；
（4）This Floating Car is calculated in the running time associated by intersection entrance direction to be detected on section, and described in judgement
Whether running time is more than M times of intersection entrance direction signal cycle to be detected, if so, then performing step（5）, if it is not, then
Perform congestion to dissipate strategy, according to congestion dissipation situation, update the traffic behavior in intersection entrance direction to be detected；
（5）Whether K Floating Car all judges to complete, if so, then judging intersection entrance side to be detected in the current detection cycle
To doubtful congestion, step is performed（6）, if it is not, then return to step（3）, next Floating Car is judged；
（6）J continuous detection cycles are detected successively, judge that the doubtful congestion in intersection entrance direction to be detected is
It is no to continue J detection cycle, if so, intersection entrance direction to be detected congestion is then judged, by intersection entrance direction to be detected
Traffic behavior be updated to congestion, if it is not, then perform congestion dissipate strategy, according to congestion dissipation situation, update intersection to be detected
The traffic behavior of mouth Way in.
2. urban intersection congestion event detection and method for dissipating according to claim 1 based on FCD, its feature exist
In the congestion dissipation strategy is specially：If the traffic behavior in intersection entrance direction to be detected is congestion, it is revised as
Doubtful congestion, if the traffic behavior in intersection entrance direction to be detected is doubtful congestion, be revised as it is unimpeded, if to be detected
The traffic behavior in intersection entrance direction is unimpeded, then keeps constant.
3. urban intersection congestion event detection and method for dissipating according to claim 1 based on FCD, its feature exist
In：The step（2）In, GPS point position data are uploaded in real time by Floating Car.
4. urban intersection congestion event detection and method for dissipating according to claim 1 based on FCD, its feature exist
In：The step（4）In, M >=2.
5. urban intersection congestion event detection and method for dissipating according to claim 1 based on FCD, its feature exist
In：The step（6）In, J >=2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510775510.0A CN105389982B (en) | 2015-11-15 | 2015-11-15 | Urban intersection congestion event detection and method for dissipating based on FCD |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510775510.0A CN105389982B (en) | 2015-11-15 | 2015-11-15 | Urban intersection congestion event detection and method for dissipating based on FCD |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105389982A CN105389982A (en) | 2016-03-09 |
| CN105389982B true CN105389982B (en) | 2017-12-15 |
Family
ID=55422220
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510775510.0A Active CN105389982B (en) | 2015-11-15 | 2015-11-15 | Urban intersection congestion event detection and method for dissipating based on FCD |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105389982B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107767666B (en) * | 2016-08-22 | 2021-01-29 | 任秀欢 | Intelligent detection single-point control intersection exit traffic flow overflow prevention and control method |
| CN109637121A (en) * | 2018-06-05 | 2019-04-16 | 南京理工大学 | A kind of road traffic congestion prediction technique in short-term based on CS-SVR algorithm |
| CN111402585B (en) * | 2020-03-25 | 2021-02-02 | 中南大学 | Detection method for sporadic congestion path |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101710449A (en) * | 2009-12-04 | 2010-05-19 | 吉林大学 | Traffic flow running rate recognizing method based on bus GPS data |
| CN102280031A (en) * | 2011-07-22 | 2011-12-14 | 南京莱斯信息技术股份有限公司 | Crossing traffic state recognition method based on floating car data |
| CN102622883A (en) * | 2012-03-21 | 2012-08-01 | 北京世纪高通科技有限公司 | Method and device for judging release of traffic incident |
| US8279086B2 (en) * | 2008-09-26 | 2012-10-02 | Regents Of The University Of Minnesota | Traffic flow monitoring for intersections with signal controls |
-
2015
- 2015-11-15 CN CN201510775510.0A patent/CN105389982B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8279086B2 (en) * | 2008-09-26 | 2012-10-02 | Regents Of The University Of Minnesota | Traffic flow monitoring for intersections with signal controls |
| CN101710449A (en) * | 2009-12-04 | 2010-05-19 | 吉林大学 | Traffic flow running rate recognizing method based on bus GPS data |
| CN102280031A (en) * | 2011-07-22 | 2011-12-14 | 南京莱斯信息技术股份有限公司 | Crossing traffic state recognition method based on floating car data |
| CN102622883A (en) * | 2012-03-21 | 2012-08-01 | 北京世纪高通科技有限公司 | Method and device for judging release of traffic incident |
Non-Patent Citations (1)
| Title |
|---|
| 城市交通系统运行状态评估及控制策略研究;李树彬;《CNKI中国博士学位论文全文数据库》;20120630;15-103页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105389982A (en) | 2016-03-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106530694B (en) | A kind of traffic congestion prediction technique and system based on traffic congestion propagation model | |
| CN104157152B (en) | A kind of traffic signal optimization control method for intersection vehicle queue overflow status | |
| CN104464295B (en) | A kind of overhead Entrance ramp intelligence restricted driving method based on video | |
| CN106548632B (en) | A kind of adjacent upstream and downstream signalized intersections queue length estimation method | |
| CN108320537B (en) | Method and device for calculating vehicle queuing length | |
| CN102881169B (en) | Fake-licensed car detection method | |
| CN111613070B (en) | Traffic signal lamp control method, traffic signal lamp control device, electronic equipment and computer storage medium | |
| CN105405301B (en) | Right-turn signal induction control method for eliminating straight-right-turn convergence conflict | |
| CN104794910A (en) | Queuing length based fully-actuated signal control method with phase jumping function | |
| CN109598930B (en) | Automatic detect overhead closed system | |
| CN105389982B (en) | Urban intersection congestion event detection and method for dissipating based on FCD | |
| CN103810868A (en) | Traffic overflow inhibition method based on high altitude video information | |
| CN104392607A (en) | Method and device for identifying traffic conditions | |
| CN106781486A (en) | Traffic behavior evaluation method based on floating car data | |
| WO2012024976A1 (en) | Traffic information processing method and device thereof | |
| CN103871258A (en) | Signal control method for preventing dead lock of intersection | |
| CN109961631B (en) | Road water accumulation point identification method and road water accumulation point identification system | |
| CN102592451A (en) | Method for detecting road traffic incident based on double-section annular coil detector | |
| CN104778848A (en) | Traffic signal optimal control method for road intersection vehicle coordinated optimization state | |
| CN112712714A (en) | Traffic light timing optimization method and simulation system based on bayonet monitoring equipment | |
| CN109841056A (en) | A kind of method and device judging section congestion, region congestion | |
| CN108765985A (en) | The signalized intersections entrance driveway delay estimation method reached based on first car | |
| CN101551940A (en) | Urban high-speed road traffic state judging and issuing system and method thereof | |
| CN112542049A (en) | Comprehensive management and control platform for intelligent traffic | |
| KR101123967B1 (en) | Traffic congestion prediction system, prediction method and recording medium thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information |
Inventor after: Chen Hong Inventor after: Liang Zijun Inventor after: Song Zhihong Inventor after: Jiang Jinfeng Inventor after: Lv Hongzhen Inventor after: Bao Yuanlai Inventor after: Jing Xingli Inventor after: Chen Jie Inventor before: Song Zhihong Inventor before: Jiang Jinfeng Inventor before: Lv Hongzhen Inventor before: Bao Yuanlai Inventor before: Jing Xingli Inventor before: Chen Jie |
|
| CB03 | Change of inventor or designer information | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20171107 Address after: 710064 the middle section of the two South Ring Road, Yanta District, Shaanxi, Xi'an Province, Chang'an University Applicant after: Changan Univ. Applicant after: Anhui Keli Information Industry Co., Ltd. Address before: 230088 Mount Huangshan Road, Anhui, China, No. 628, No. Applicant before: Anhui Keli Information Industry Co., Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |