CN106530699A - Method and system for recognizing variable and guiding lane - Google Patents
Method and system for recognizing variable and guiding lane Download PDFInfo
- Publication number
- CN106530699A CN106530699A CN201611034911.1A CN201611034911A CN106530699A CN 106530699 A CN106530699 A CN 106530699A CN 201611034911 A CN201611034911 A CN 201611034911A CN 106530699 A CN106530699 A CN 106530699A
- Authority
- CN
- China
- Prior art keywords
- track
- traffic
- lane
- heavy
- variable
- 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.)
- Pending
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
Landscapes
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a method and a system for recognizing a variable and guiding lane. Through acquiring flow data of an entrance lane in real time, according to real-time monitoring and analysis on vehicle flow directions, an analysis result and suggestions for a variable and guiding lane are outputted. According to features of the vehicle flow directions, which road segments are provided with the variable lanes at the entrance lanes can be suggested to a traffic management department, and further, road resources are made full use of, and the traffic conditions are improved.
Description
Technical field
The present invention relates to traffic programme technical field, in particular to a kind of recognition methods of variable guided vehicle road be
System.
Background technology
Variable guided vehicle road is referred to into after the track has more than one track to move towards, if any crossing situation allow to turn right
(turn right and a track is merged in straight trip) with straight trip, or u-turn and left-hand rotation are merged into a track and (be generally used for left side
Track).Variable guided vehicle road has flexibility, different from common track instruction line, as long as common track is straight into track
Row is exactly to keep straight on, and left-hand rotation is exactly to turn left.General such track is located at the more complicated section of traffic.
Variable guided vehicle road is mainly disposed to crossing inlet road, the characteristics of can flowing to according to different periods vehicle flow
(for example：The lane flow such as left turn lane is crowded, Through Lane is idle or left turn lane is idle, Through Lane is crowded is uneven
Situation, causes the crossing even reduction of the traffic capacity of entire road), flexible modulation, the row of changing Lane are carried out to flow direction
Direction is sailed, alleviates traffic pressure.It is particularly suited for the intersection for needing to take timeliness traffic management measure.But on those roads
It is problem that current demand is solved that section entrance driveway arranges variable guided vehicle road and how to arrange.
The content of the invention
The object of the invention is intended to the data on flows by Real-time Collection entrance driveway, according to the monitor in real time of vehicle flow flow direction
With analysis, analysis result and the suggestion of variable guided vehicle road are exported, is beneficial to, improve traffic
Situation.
For achieving the above object, the recognition methods of variable guide channel proposed by the present invention comprises the steps：
Step 1, reading section table MD_SEGMENT obtain all road section IDs, are all labeled as Unvisited；
Step 2, one of them road section ID for being labeled as Unvisited is taken, be labeled as visited；And carry out Step3；
Step 3, with above-mentioned road section ID inquire about track table MD_LANE, count the section entrance driveway number of track-lines and track category
Property；If total number of track-lines>=4 and there is exclusive left-turn lane, then carry out Step4；Otherwise, carry out step2；
Step 4, the track flow for reading track flowmeter MD_LANE_VOLUME acquisitions section, calculate each track peak hour
Flow qi, will 8:00～9:Track flow summation between 00,And further read the mark in track with track ID
Graticule table BMD_DERECTION_OF_LANE obtains identifier marking numbering, reads highway sign and marking table MD_ with identifier marking numbering
DIRECTION obtains the direction in each track；Calculate straight trip, the peak hour flow q in the direction of left-hand rotationS, qL；
Straight trip directional flow：I.e. all Through Lane flows add up.
Left-hand rotation directional flow：I.e. all left turn lane flows add up.
Step 5, the congestion coefficient for calculating section straight trip direction and left-hand rotation direction, i.e. saturation degree=actual flow/current energy
Power；
1. read the traffic capacity that lane traffic engineering attribute table MD_LANE_TEP obtains each track first, and calculate each
Individual track is turned left, the congestion coefficient of straight trip.
Through Lane congestion coefficient：
Left turn lane congestion coefficient：
2. the congestion coefficient in straight trip direction and left-hand rotation direction is secondly calculated, if there is a plurality of track in certain direction, track is averaging
Congestion coefficient：
Straight trip congestion coefficient：n1For Through Lane number；
Left-hand rotation congestion coefficient：n2For left turn lane number；
If max is (SS,SL) ＜ ε or min (SS,SL) >=ε then changeable driveway arranges values IS_VARIABLE=0；Otherwise, enter
Row Step7, wherein ε are congestion coefficient threshold；
Step7：Entrance driveway direction coefficient is calculated, i.e.,
Step8：If max is (KS,KL) ＞ δ and min (KS,KL) corresponding light direction lane number>=2, parameter δ takes 0.76,
Then changeable driveway arranges value IS_VARIABLE=1, otherwise changeable driveway arranges value IS_VARIABLE=0；
Step9：By max (KS,KL) corresponding track direction as double recipe to；min(KS,KL) correspondence track direction be then
Light direction, wherein track direction include straight and turning left；Straight trip represents that with 1 left-hand rotation is represented with 0；
Step10：Repeat Step4～step9 until the data whole analysis in by month is finished, and preserve mediant
According to；
Step11：The data of IS_VARIABLE=1 in the intermediate data of month of above-mentioned preservation are all taken out,
Carry out Step12；
Step12：One middle of the month of analysis each section entrance driveway heavy traffic stream direction and heavy traffic stream direction quantity, respectively
NUM (HEAVY_TRAFFIC_DIRECTION=1) and NUM (HEAVY_TRAFFIC_DIRECTION=0) is recorded as, is carried out
Step13；
Step13：As data max (NUM (HEAVY_TRAFFIC_DIRECTION=1), the HEAVY_ that calculate in Step12
TRAFFIC_DIRECTION=0)>When=15, IS_VARIABLE=1, otherwise IS_VARIABLE=0 are made；
Step14：By max (NUM (HEAVY_TRAFFIC_DIRECTION=1), NUM (HEAVY_TRAFFIC_
DIRECTION=0)) corresponding direction is used as heavy traffic stream direction HEAVY_TRAFFIC_DIRECTION, by min (NUM (*),
NUM (*)) corresponding direction is used as light traffic stream direction LIGHT_TRAFFIC_DIRECTION；
Step15：It is all that statistics this month, calculatesAsk arithmetic mean of instantaneous value, max (KS,
KL) as heavy traffic stream direction coefficient HEAVY_TRAFFIC_K, min (KS,KL) as light traffic stream direction coefficient LIGHT_
TRAFFIC_K；Using the entrance driveway number of track-lines calculated in Step3 as entrance driveway number of track-lines TOTAL_LANES_NUM；
Step16：All q that this month is calculatedS, qLAsk arithmetic mean of instantaneous value, max (qS,qL) as heavy traffic stream flow
HEAVY_TRAFFIC_VOLUME, min (qS,qL) as light traffic stream flow LIGHT_TRAFFIC_VOLUME；
Step17：By the data output calculated in Step13～Step16, then repeatedly Step4～17 step by 17:00～
18:Data processing between 00 is finished, and turns Step2, until all road section IDs are collectively labeled as visited.
From above technical scheme, it is an advantage of the invention that：By the data on flows of Real-time Collection entrance driveway, carrying out can
Become guided vehicle road analysis, according to vehicle flow flow to the characteristics of advise which section entrance driveway can set to vehicle supervision department
Changeable driveway is put, path resource is further made full use of, is improved traffic conditions.
As long as it should be appreciated that all combinations of aforementioned concepts and the extra design for describing in greater detail below are at this
A part for the subject matter of the disclosure is can be viewed as in the case that the design of sample is not conflicting.In addition, required guarantor
All combinations of the theme of shield are considered as a part for the subject matter of the disclosure.
Can be more fully appreciated with reference to accompanying drawing from the following description present invention teach that foregoing and other aspect, reality
Apply example and feature.The feature and/or beneficial effect of other additional aspects such as illustrative embodiments of the present invention will be below
Description in it is obvious, or by according to present invention teach that specific embodiment practice in learn.
Description of the drawings
Accompanying drawing is not intended to drawn to scale.In the accompanying drawings, identical or approximately uniform group of each for illustrating in each figure
Can be indicated by the same numeral into part.For clarity, in each figure, not each part is labeled.
Now, by example and the embodiment of various aspects of the invention will be described in reference to the drawings, wherein：
Fig. 1 is the schematic flow sheet of the recognition methods of the variable guided vehicle road of the present invention.
Specific embodiment
In order to know more about the technology contents of the present invention, especially exemplified by specific embodiment and institute's accompanying drawings are coordinated to be described as follows.
Each side with reference to the accompanying drawings to describe the present invention in the disclosure, shown in the drawings of the embodiment of many explanations.
Embodiment of the disclosure must not be intended to include all aspects of the invention.It should be appreciated that various designs presented hereinbefore and reality
Apply example, and those designs for describing in more detail below and embodiment can in many ways in any one come real
Apply, this is because design disclosed in this invention and embodiment are not limited to any embodiment.In addition, disclosed by the invention one
A little aspects can be used alone, or otherwise any appropriately combined using with disclosed by the invention.
As shown in figure 1, embodiments in accordance with the present invention, a kind of recognition methods of variable guide channel comprises the steps：
Step 1, reading section table MD_SEGMENT obtain all road section IDs, are all labeled as Unvisited；
Step 2, one of them road section ID for being labeled as Unvisited is taken, be labeled as visited；And carry out Step3；
Step 3, with above-mentioned road section ID inquire about track table MD_LANE, count the section entrance driveway number of track-lines and track category
Property；If total number of track-lines>=4 and there is exclusive left-turn lane, then carry out Step4；Otherwise, carry out step2；
Step 4, the track flow for reading track flowmeter MD_LANE_VOLUME acquisitions section, calculate each track peak hour
Flow qi, will 8:00～9:Track flow summation between 00,And further read the mark in track with track ID
Graticule table BMD_DERECTION_OF_LANE obtains identifier marking numbering, reads highway sign and marking table MD_ with identifier marking numbering
DIRECTION obtains the direction in each track；Calculate straight trip, the peak hour flow q in the direction of left-hand rotationS, qL；
Straight trip directional flow：I.e. all Through Lane flows add up.
Left-hand rotation directional flow：I.e. all left turn lane flows add up.
Step 5, the congestion coefficient for calculating section straight trip direction and left-hand rotation direction, i.e. saturation degree=actual flow/current energy
Power；
1. read the traffic capacity that lane traffic engineering attribute table MD_LANE_TEP obtains each track first, and calculate each
Individual track is turned left, the congestion coefficient of straight trip.
Through Lane congestion coefficient：
Left turn lane congestion coefficient：
2. the congestion coefficient in straight trip direction and left-hand rotation direction is secondly calculated, if there is a plurality of track in certain direction, track is averaging
Congestion coefficient：
Straight trip congestion coefficient：n1For Through Lane number；
Left-hand rotation congestion coefficient：n2For left turn lane number；
If max is (SS,SL) ＜ ε or min (SS,SL) >=ε then changeable driveway arranges values IS_VARIABLE=0；Otherwise, enter
Row Step7, wherein ε are congestion coefficient threshold；
Step7：Entrance driveway direction coefficient is calculated, i.e.,
Step8：If max is (KS,KL) ＞ δ and min (KS,KL) corresponding light direction lane number>=2, parameter δ takes 0.76,
Then changeable driveway arranges value IS_VARIABLE=1, otherwise changeable driveway arranges value IS_VARIABLE=0；
Step9：By max (KS,KL) corresponding track direction as double recipe to；min(KS,KL) correspondence track direction be then
Light direction, wherein track direction include straight and turning left；Straight trip represents that with 1 left-hand rotation is represented with 0；
Step10：Repeat Step4～step9 until the data whole analysis in by month is finished, and preserve mediant
According to；
Step11：The data of IS_VARIABLE=1 in the intermediate data of month of above-mentioned preservation are all taken out,
Carry out Step12；
Step12：One middle of the month of analysis each section entrance driveway heavy traffic stream direction and heavy traffic stream direction quantity, respectively
NUM (HEAVY_TRAFFIC_DIRECTION=1) and NUM (HEAVY_TRAFFIC_DIRECTION=0) is recorded as, is carried out
Step13；
Step13：As data max (NUM (HEAVY_TRAFFIC_DIRECTION=1), the HEAVY_ that calculate in Step12
TRAFFIC_DIRECTION=0)>When=15, IS_VARIABLE=1, otherwise IS_VARIABLE=0 are made；
Step14：By max (NUM (HEAVY_TRAFFIC_DIRECTION=1), NUM (HEAVY_TRAFFIC_
DIRECTION=0)) corresponding direction is used as heavy traffic stream direction HEAVY_TRAFFIC_DIRECTION, by min (NUM (*),
NUM (*)) corresponding direction is used as light traffic stream direction LIGHT_TRAFFIC_DIRECTION；
Step15：It is all that statistics this month, calculatesAsk arithmetic mean of instantaneous value, max (KS,
KL) as heavy traffic stream direction coefficient HEAVY_TRAFFIC_K, min (KS,KL) as light traffic stream direction coefficient LIGHT_
TRAFFIC_K；Using the entrance driveway number of track-lines calculated in Step3 as entrance driveway number of track-lines TOTAL_LANES_NUM；
Step16：All q that this month is calculatedS, qLAsk arithmetic mean of instantaneous value, max (qS,qL) as heavy traffic stream flow
HEAVY_TRAFFIC_VOLUME, min (qS,qL) as light traffic stream flow LIGHT_TRAFFIC_VOLUME；
Step17：By the data output calculated in Step13～Step16, then repeatedly Step4～17 step by 17:00～
18:Data processing between 00 is finished, and turns Step2, until all road section IDs are collectively labeled as visited.
With reference to shown in Fig. 1, during the realization of the method, need to use some from the number acquired by traffic monitor in real time
According to and/or form, and from the form and data of road monitoring data center, such as track data on flows table, track table, track
Traffic engineering attribute list, the identifier marking table in track, highway sign and marking, section table etc..
The form of aforementioned data is illustrated below exemplarily.
1. track data on flows Table A Y_RESULT_LANE_VOLUME of table
2. track table MD_LANE of table
| Code | DataType | Name |
| LANE_ID | VARchar2(60) | Lane number |
| SEGMENT_ID | VARchar2(60) | Road section ID |
| LANE_NAME | VARchar2(60) | Ramp name |
| LANE_LENGTH | NUMBER(6,2) | Length |
| LANE_WIDTH | NUMBER(3,2) | Width |
| LANE_ID_SCATS | VARchar2(30) | SCATS lane numbers |
3. lane traffic engineering attribute table MD_LANE_TEP of table
| Code | DataType | Name |
| LANE_ID | VARchar2(60) | Lane number |
| CAPACITY | NUMBER(9) | The traffic capacity |
The identifier marking MD_DERECTION_OF_LANE in 4. track of table
| Code | DataType | Name |
| LANE_ID | VARchar2(60) | Lane number |
| DIEECTION_ID | NUMBER(9) | Identifier marking is numbered |
| TURN_RATE | NUMBER(3,2) | Compound track steering rate |
5. highway sign and marking MD_DIRECTION of table
| Code | DataType | Name |
| DIEECTION_ID | NUMBER(9) | Identifier marking is numbered |
| DIEECTION_NAME | VARchar2(30) | Identifier marking description (left, directly, right etc.) |
Wherein in table 5, the corresponding relation of direction_id and direction_name is as follows:3- keeps straight on, and 4- turns around, 1-
To the right, 2- is to the left.
6. section table MD_SEGMENT of table
With reference to foregoing schemes and Fig. 1, changeable driveway table RESULT_VARIABLE_LANE is finally exported, form is as follows：
| Code | DataType | Name |
| SEGMENT_ID | VARchar2(60) | Road section ID |
| IS_VARIABLE | NUMBER | Whether changeable driveway is set |
| HEAVY_TRAFFIC_DIRECTION | NUMBER | Heavy traffic stream direction |
| LIGHT_TRAFFIC_DIRECTION | NUMBER | Light traffic stream direction |
| HEAVY_TRAFFIC_VOLUME | NUMBER | Heavy traffic stream flow |
| LIGHT_TRAFFIC_VOLUME | NUMBER | Light traffic stream flow |
| HEAVY_TRAFFIC_K | NUMBER(4,2) | Heavy traffic stream direction coefficient |
| LIGHT_TRAFFIC_K | NUMBER(4,2) | Light traffic stream direction coefficient |
| TOTAL_LANES_NUM | NUMBER | Entrance driveway number of track-lines |
| PEAK_TIME | STRING | Peak period |
| TIMESTAMP | NUMBER(13) | The renewal time |
With reference to Fig. 1, disclosure of the invention, it is also proposed that a kind of identifying system of variable guide channel, including processor
And memory, and data in memory and program are deposited, use for processor and perform.These data are for example aforesaid
Each form and the form of output, aforesaid program are included for performing the programmed instruction of foregoing schemes.
Although the present invention is disclosed above with preferred embodiment, so which is not limited to the present invention.Skill belonging to of the invention
Has usually intellectual in art field, without departing from the spirit and scope of the present invention, when can be used for a variety of modifications and variations.Cause
This, protection scope of the present invention ought be defined depending on those as defined in claim.
Claims (2)
1. a kind of recognition methods of variable guide channel, it is characterised in that comprise the steps：
Step 1, reading section table MD_SEGMENT obtain all road section IDs, are all labeled as Unvisited；
Step 2, one of them road section ID for being labeled as Unvisited is taken, be labeled as visited；And carry out Step3；
Step 3, with above-mentioned road section ID inquire about track table MD_LANE, count the entrance driveway number of track-lines and track attribute in the section；If
Total number of track-lines>=4 and there is exclusive left-turn lane, then carry out Step4；Otherwise, carry out step2；
Step 4, the track flow for reading track flowmeter MD_LANE_VOLUME acquisitions section, calculate each track peak hour flow
qi, will 8:00～9:Track flow summation between 00,And further read the identifier marking in track with track ID
Table BMD_DERECTION_OF_LANE obtains identifier marking numbering, reads highway sign and marking table MD_ with identifier marking numbering
DIRECTION obtains the direction in each track；Calculate straight trip, the peak hour flow q in the direction of left-hand rotationS, qL；
Straight trip directional flow：I.e. all Through Lane flows add up；
Left-hand rotation directional flow：I.e. all left turn lane flows add up；
Step 5, the congestion coefficient for calculating section straight trip direction and left-hand rotation direction, i.e. saturation degree=actual flow/traffic capacity；
1. read the traffic capacity that lane traffic engineering attribute table MD_LANE_TEP obtains each track first, and calculate each car
Road turns left, the congestion coefficient of straight trip；
Through Lane congestion coefficient：
Left turn lane congestion coefficient：
2. the congestion coefficient in straight trip direction and left-hand rotation direction is secondly calculated, if there is a plurality of track in certain direction, track congestion is averaging
Coefficient：
Straight trip congestion coefficient：n1For Through Lane number；
Left-hand rotation congestion coefficient：n2For left turn lane number；
If max is (SS,SL) ＜ ε or min (SS,SL) >=ε then changeable driveway arranges values IS_VARIABLE=0；Otherwise, carry out
Step7, wherein ε are congestion coefficient threshold；
Step7：Entrance driveway direction coefficient is calculated, i.e.,
Step8：If max is (KS,KL) ＞ δ and min (KS,KL) corresponding light direction lane number>=2, parameter δ takes 0.76, then may be used
Become track arranges value IS_VARIABLE=1, otherwise changeable driveway arranges value IS_VARIABLE=0；
Step9：By max (KS,KL) corresponding track direction as double recipe to；min(KS,KL) track direction is corresponded to then for gently just
To wherein track direction includes straight and turning left；Straight trip represents that with 1 left-hand rotation is represented with 0；
Step10：Repeat Step4～step9 until the data whole analysis in by month is finished, and preserve intermediate data；
Step11：The data of IS_VARIABLE=1 in the intermediate data of month of above-mentioned preservation are all taken out, is carried out
Step12；
Step12：One middle of the month of analysis each section entrance driveway heavy traffic stream direction and heavy traffic stream direction quantity, record respectively
For NUM (HEAVY_TRAFFIC_DIRECTION=1) and NUM (HEAVY_TRAFFIC_DIRECTION=0), carry out
Step13；
Step13：As data max (NUM (HEAVY_TRAFFIC_DIRECTION=1), the HEAVY_ that calculate in Step12
TRAFFIC_DIRECTION=0)>When=15, IS_VARIABLE=1, otherwise IS_VARIABLE=0 are made；
Step14：By max (NUM (HEAVY_TRAFFIC_DIRECTION=1), NUM (HEAVY_TRAFFIC_DIRECTION
=0)) corresponding direction as heavy traffic stream direction HEAVY_TRAFFIC_DIRECTION, will be min (NUM (*), NUM (*)) right
The direction answered is used as light traffic stream direction LIGHT_TRAFFIC_DIRECTION；
Step15：It is all that statistics this month, calculatesAsk arithmetic mean of instantaneous value, max (KS,KL) make
Attach most importance to traffic flow direction coefficient HEAVY_TRAFFIC_K, min (KS,KL) as light traffic stream direction coefficient LIGHT_TRAFFIC_
K；Using the entrance driveway number of track-lines calculated in Step3 as entrance driveway number of track-lines TOTAL_LANES_NUM；
Step16：All q that this month is calculatedS, qLAsk arithmetic mean of instantaneous value, max (qS,qL) as heavy traffic stream flow HEAVY_
TRAFFIC_VOLUME, min (qS,qL) as light traffic stream flow LIGHT_TRAFFIC_VOLUME；
Step17：By the data output calculated in Step13～Step16, then repeatedly Step4～17 step by 17:00～18:00
Between data processing finish, turn Step2, until all road section IDs are collectively labeled as visited.
2. a kind of identifying system of variable guide channel, it is characterised in that include：
At least one processor；
Memory；
Wherein, the memory is arranged for depositing data and the program module used for processor, described program module bag
Include for performing the programmed instruction of the method described in aforementioned claim 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611034911.1A CN106530699A (en) | 2016-11-21 | 2016-11-21 | Method and system for recognizing variable and guiding lane |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611034911.1A CN106530699A (en) | 2016-11-21 | 2016-11-21 | Method and system for recognizing variable and guiding lane |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106530699A true CN106530699A (en) | 2017-03-22 |
Family
ID=58356314
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611034911.1A Pending CN106530699A (en) | 2016-11-21 | 2016-11-21 | Method and system for recognizing variable and guiding lane |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106530699A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107730891A (en) * | 2017-11-20 | 2018-02-23 | 中兴软创科技股份有限公司 | A kind of evaluation method of Road Traffic Organisation's canalization |
| WO2018228279A1 (en) * | 2017-06-12 | 2018-12-20 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for analyzing and adjusting road conditions |
| CN110097752A (en) * | 2019-03-27 | 2019-08-06 | 杭州远眺科技有限公司 | A kind of intelligent and variable guided vehicle road calculation method |
| CN110364002A (en) * | 2019-05-22 | 2019-10-22 | 江苏科创交通安全产业研究院有限公司 | A kind of vehicle three-level Induction Control method and system in Traffic Net |
| CN110807923A (en) * | 2019-10-31 | 2020-02-18 | 哈尔滨工业大学 | Method for reconstructing functions of intersection entrance lane under man-machine hybrid driving environment |
| CN111652112A (en) * | 2020-05-29 | 2020-09-11 | 北京百度网讯科技有限公司 | Lane flow direction identification method and device, electronic equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020012671A (en) * | 2000-08-08 | 2002-02-20 | 염병대 | The variable and dynamic lane assignment for left-turn at the intersection |
| CN101650877A (en) * | 2009-08-31 | 2010-02-17 | 吉林大学 | Method for setting crossing self-adapting changeable driveway |
| CN102867412A (en) * | 2012-09-24 | 2013-01-09 | 东南大学 | Setting method for changing urban road into short lane |
| CN104036645A (en) * | 2014-06-03 | 2014-09-10 | 东南大学 | Reversible-lane-based intersection signal control method |
| CN104318788A (en) * | 2014-10-05 | 2015-01-28 | 哈尔滨工业大学 | Method for improving space resource utilization efficiency of intersection entrance lane |
| CN105279981A (en) * | 2015-10-15 | 2016-01-27 | 华南理工大学 | Tidal lane driving direction dynamic control method |
| CN105489009A (en) * | 2015-12-28 | 2016-04-13 | 中兴软创科技股份有限公司 | Tide lane identification method and system |
-
2016
- 2016-11-21 CN CN201611034911.1A patent/CN106530699A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020012671A (en) * | 2000-08-08 | 2002-02-20 | 염병대 | The variable and dynamic lane assignment for left-turn at the intersection |
| CN101650877A (en) * | 2009-08-31 | 2010-02-17 | 吉林大学 | Method for setting crossing self-adapting changeable driveway |
| CN102867412A (en) * | 2012-09-24 | 2013-01-09 | 东南大学 | Setting method for changing urban road into short lane |
| CN104036645A (en) * | 2014-06-03 | 2014-09-10 | 东南大学 | Reversible-lane-based intersection signal control method |
| CN104318788A (en) * | 2014-10-05 | 2015-01-28 | 哈尔滨工业大学 | Method for improving space resource utilization efficiency of intersection entrance lane |
| CN105279981A (en) * | 2015-10-15 | 2016-01-27 | 华南理工大学 | Tidal lane driving direction dynamic control method |
| CN105489009A (en) * | 2015-12-28 | 2016-04-13 | 中兴软创科技股份有限公司 | Tide lane identification method and system |
Non-Patent Citations (1)
| Title |
|---|
| 杨莉: "火炬大道设置可变车道方案研究", 《中国优秀硕士学位论文全文数据库（工程科技Ⅱ辑）》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018228279A1 (en) * | 2017-06-12 | 2018-12-20 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for analyzing and adjusting road conditions |
| CN107730891A (en) * | 2017-11-20 | 2018-02-23 | 中兴软创科技股份有限公司 | A kind of evaluation method of Road Traffic Organisation's canalization |
| CN110097752A (en) * | 2019-03-27 | 2019-08-06 | 杭州远眺科技有限公司 | A kind of intelligent and variable guided vehicle road calculation method |
| CN110097752B (en) * | 2019-03-27 | 2021-04-27 | 杭州远眺科技有限公司 | Intelligent variable guide lane calculation method |
| CN110364002A (en) * | 2019-05-22 | 2019-10-22 | 江苏科创交通安全产业研究院有限公司 | A kind of vehicle three-level Induction Control method and system in Traffic Net |
| CN110364002B (en) * | 2019-05-22 | 2020-09-11 | 江苏科创车联网产业研究院有限公司 | Vehicle three-level guidance control method and system in road traffic network |
| CN110807923A (en) * | 2019-10-31 | 2020-02-18 | 哈尔滨工业大学 | Method for reconstructing functions of intersection entrance lane under man-machine hybrid driving environment |
| CN110807923B (en) * | 2019-10-31 | 2020-11-13 | 哈尔滨工业大学 | Method for reconstructing functions of intersection entrance lane under man-machine hybrid driving environment |
| CN111652112A (en) * | 2020-05-29 | 2020-09-11 | 北京百度网讯科技有限公司 | Lane flow direction identification method and device, electronic equipment and storage medium |
| CN111652112B (en) * | 2020-05-29 | 2023-06-30 | 阿波罗智联(北京)科技有限公司 | Lane flow direction identification method and device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106530699A (en) | Method and system for recognizing variable and guiding lane | |
| CN106023589B (en) | A kind of track of vehicle reconstructing method based on bayonet socket data | |
| CN106297285B (en) | Freeway traffic operating status fuzzy synthetic appraisement method based on changeable weight | |
| CN101960443B (en) | System and method for generation of inner boundary of work area | |
| CN103413437B (en) | Method and system for identifying road intersection steering based on vehicle data collection | |
| CN101739824B (en) | Data fusion technology-based traffic condition estimation method | |
| CN108303103A (en) | The determination method and apparatus in target track | |
| CN108986493A (en) | Traffic lights transit time distribution method and its device | |
| CN104183128B (en) | Traffic behavior determines method and device | |
| CN107571867A (en) | Method and apparatus for controlling automatic driving vehicle | |
| HRP20210089T1 (en) | System and method for automatically updating a database of speed limits of traffic | |
| CN106530684A (en) | Method and device of processing traffic road information | |
| CN106530708B (en) | A kind of method and device obtaining traffic restricted information | |
| CN110288205B (en) | Traffic influence evaluation method and device | |
| CN109164785A (en) | Emulation test method, device, equipment and the storage medium of automatic driving vehicle | |
| CN106781542A (en) | A kind of vehicle queue length detecting system, method and apparatus | |
| CN105023431B (en) | A kind of method and device for determining traffic restricted driving information | |
| CN101123038A (en) | A dynamic information collection method for associated road segments of intersection | |
| CN105869421A (en) | Method and device for processing abnormal road condition information and vehicle | |
| CN102201174B (en) | Traveling road estimation system | |
| CN106875680A (en) | Crossing average latency computational methods based on big data analysis | |
| CN106767855A (en) | A kind of electronic map data update method and system | |
| CN113335310A (en) | Decision-based exercise planning method and device, electronic equipment and storage medium | |
| CN112562341B (en) | Road detection equipment arrangement method and device and storage medium | |
| CN104966403A (en) | Trunk line self-optimizing signal control method and device based on terrestrial magnetism |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 210012 room 627, Ning Shuang Road, Yuhuatai District, Nanjing, Jiangsu, 627 Applicant after: Ho whale cloud computing Polytron Technologies Inc Address before: 210012 No. 68 Bauhinia Road, Yuhuatai District, Jiangsu, Nanjing Applicant before: ZTEsoft Technology Co., Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170322 |