CN107730891A - A kind of evaluation method of Road Traffic Organisation's canalization - Google Patents
A kind of evaluation method of Road Traffic Organisation's canalization Download PDFInfo
- Publication number
- CN107730891A CN107730891A CN201711159671.2A CN201711159671A CN107730891A CN 107730891 A CN107730891 A CN 107730891A CN 201711159671 A CN201711159671 A CN 201711159671A CN 107730891 A CN107730891 A CN 107730891A
- Authority
- CN
- China
- Prior art keywords
- track
- section
- group
- graticule
- intersection
- 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
- 238000011156 evaluation Methods 0.000 title claims description 7
- 238000000034 method Methods 0.000 claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims description 7
- 241001269238 Data Species 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims description 3
- 230000000052 comparative effect Effects 0.000 claims description 3
- 150000001875 compounds Chemical class 0.000 claims description 3
- 238000000205 computational method Methods 0.000 claims 2
- 230000008676 import Effects 0.000 abstract description 3
- 239000000463 material Substances 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
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
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Analytical Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Traffic Control Systems (AREA)
Abstract
The Rationality Assessment method of traffic lane line canalization is determined according to the distributing equilibrium of intersection all directions flow, the present invention to the historical traffic in each track in crossing by counting, differentiate the reasonability of each traffic lane line canalization, when the average discharge in the track of two different directions is regular relatively large deviation occurs, then differentiate that traffic lane line canalization in intersection is unreasonable, according to the historical traffic data in each import track in intersection as distinguishing rule, there are stronger accuracy and reliability.
Description
Technical field
The present invention relates to technical field of transportation, more particularly to a kind of evaluation method of Road Traffic Organisation canalization.
Background technology
As city process is constantly accelerated, traffic jam issue is increasingly becoming one of an important factor for restricting urban development.
The performance that Urban Traffic Jam Based often protrudes at the intersection, therefore each section in intersection graticule rationally set seem to
Close important.Size and change using each section historical traffic in big data Platform Analysis intersection, and combine effective track and mark
The evaluation method of line canalization, is evaluated intersection section graticule, is had to lifting intersection performance and alleviation urban congestion
Preferable effect.
The content of the invention
A kind of the present invention is intended to provide level of service assessment technique based on multi-source data.
To realize above-mentioned technical purpose, the present invention uses following technical scheme, a kind of evaluation of Road Traffic Organisation's canalization
Method, comprise the following steps：
S1, read electronic police database, inquiry intersects oral thermometer, obtains all intersection ID, all mark for
Unvisited；
S2, the intersection ID for taking the one of mark obtained in step S1 to be, labeled as visited, and
Into step S3；
S3, table acquisition all road section IDs in section are looked into using crossing ID (intersection ID) as downstream road junction；
S4, table acquisition all track ID in track are looked into road section ID, graticule analysis is carried out to track：For every track from
Track direction table obtains corresponding graticule numbering；
If there are track >=2 of same alike result (as two cars of two tracks or straight trip be to the left present in S5, section graticule
Road), then it is transferred to step S6 and is further processed, otherwise do not process, it is reasonable gives tacit consent to the traffic lane line；
S6, analyzed one by one for possessing several tracks (number of track-lines >=2) of same alike result in a section, definition first is same
The track group of attribute, one group will be classified as with the several tracks equally turned to, by itself and other track comparative analyses；
S7, obtain each track of a certain corresponding road section entrance driveway in the crossing using big data platform and track group (possesses identical
Attribute track combination) early evening peak and flat peak 15min historical traffic datas；
S8, rejecting abnormalities value, the history average discharge V of section straight trip (or left-hand rotation) track group 15min in 15 days is calculated,
Calculate the section in historical time respectively turn left (or straight trip) track 15min history average discharge be respectively (V1, V2 ... ...,
Vn)；
S9, setting section historical traffic rate of change threshold value beta, compare the flat of the section Through Lane group and other left turn lanes
The relation of equal flow, and compared with corresponding threshold value beta, during more than threshold value, i.e. (Vn-V)/V1>β, then judge the track group now
Graticule setting is unreasonable, otherwise rationally；
S10, the mark according to step S5 and S9 result of determination the statistics one day early evening peak in crossing and all track groups in flat peak
Line result of determination, if unreasonable number ratio occurs in certain track group>ε (configurable), then judge that the road junction roadway group graticule is set
It is unreasonable.
Preferably, in step S4 the numbering in track be 1 to the right, 2 to the left, 3 straight trips, 4 turn around, compound track is corresponding
Several numberings.
It is averaged preferably, calculating respectively turn left (or straight trip) track 15min history of the section in one month in step S8
Flow is respectively (V1, V2 ... ..., Vn).
The Rationality Assessment method of traffic lane line canalization is determined according to the distributing equilibrium of intersection all directions flow,
The present invention differentiates the reasonability of each traffic lane line canalization by being counted to the historical traffic in each track in crossing, when two not Tongfangs
To track average discharge it is regular there is relatively large deviation when, then differentiate intersection traffic lane line canalization it is unreasonable, according to friendship
The historical traffic data in each import track of prong has stronger accuracy and reliability as distinguishing rule.
Brief description of the drawings
Fig. 1 is the flow chart of the present invention.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, is only used for explaining the present invention, and is not considered as limiting the invention.
In the description of the invention, unless otherwise prescribed with limit, it is necessary to explanation, term " installation ", " connected ",
" connection " should be interpreted broadly, for example, it may be mechanical connection or electrical connection or the connection of two element internals, can
To be to be joined directly together, can also be indirectly connected by intermediary.For the ordinary skill in the art, can basis
Concrete condition understands the concrete meaning of above-mentioned term.
The evaluation method being canalized referring to a kind of Fig. 1 descriptions Road Traffic Organisation according to embodiments of the present invention, including
Following steps：
S1, read electronic police database, inquiry intersects oral thermometer, obtains all intersection ID, all mark for
Unvisited；
S2, the intersection ID for taking the one of mark obtained in step S1 to be, labeled as visited, and
Into step S3；
S3, table acquisition all road section IDs in section are looked into using crossing ID (intersection ID) as downstream road junction；
S4, table acquisition all track ID in track are looked into road section ID, graticule analysis is carried out to track：For every track from
Track direction table obtains corresponding graticule numbering；
If there are track >=2 of same alike result (as two cars of two tracks or straight trip be to the left present in S5, section graticule
Road), then it is transferred to step S6 and is further processed, otherwise do not process, it is reasonable gives tacit consent to the traffic lane line；
S6, analyzed one by one for possessing several tracks (number of track-lines >=2) of same alike result in a section, definition first is same
The track group of attribute, one group will be classified as with the several tracks equally turned to, by itself and other track comparative analyses；
S7, obtain each track of a certain corresponding road section entrance driveway in the crossing using big data platform and track group (possesses identical
Attribute track combination) early evening peak and flat peak 15min historical traffic datas；
S8, rejecting abnormalities value, the history average discharge V of section straight trip (or left-hand rotation) track group 15min in 15 days is calculated,
Calculate the section in historical time respectively turn left (or straight trip) track 15min history average discharge be respectively (V1, V2 ... ...,
Vn)；
S9, setting section historical traffic rate of change threshold value beta, compare the flat of the section Through Lane group and other left turn lanes
The relation of equal flow, and compared with corresponding threshold value beta, during more than threshold value, i.e. (Vn-V)/V1>β, then judge the track group now
Graticule setting is unreasonable, otherwise rationally；
S10, the mark according to step S5 and S9 result of determination the statistics one day early evening peak in crossing and all track groups in flat peak
Line result of determination, if unreasonable number ratio occurs in certain track group>ε (configurable), then judge that the road junction roadway group graticule is set
It is unreasonable.
Preferably, in step S4 the numbering in track be 1 to the right, 2 to the left, 3 straight trips, 4 turn around, compound track is corresponding
Several numberings.
It is averaged preferably, calculating respectively turn left (or straight trip) track 15min history of the section in one month in step S8
Flow is respectively (V1, V2 ... ..., Vn).
The Rationality Assessment method of traffic lane line canalization is determined according to the distributing equilibrium of intersection all directions flow,
The present invention differentiates the reasonability of each traffic lane line canalization by being counted to the historical traffic in each track in crossing, when two not Tongfangs
To track average discharge it is regular there is relatively large deviation when, then differentiate intersection traffic lane line canalization it is unreasonable, according to friendship
The historical traffic data in each import track of prong has stronger accuracy and reliability as distinguishing rule.
In the description of this specification, the description meaning of reference term " one embodiment ", " example " or " some examples " etc.
Refer at least one reality that the present invention is contained in reference to specific features, structure, material or the feature that the embodiment or example describe
Apply in example or example.In this manual, identical embodiment is not necessarily referring to the schematic representation of above-mentioned term or shown
Example.Moreover, specific features, structure, material or the feature of description can be in any one or more embodiments or example
Combine in an appropriate manner.
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that：Not
In the case of departing from the principle and objective of the present invention a variety of change, modification, replacement and modification can be carried out to these embodiments, this
The scope of invention is limited by claim and its equivalent.
Claims (3)
1. a kind of evaluation method of Road Traffic Organisation's canalization, it is characterised in that comprise the following steps：
S1, electronic police database is read, inquiry intersects oral thermometer, obtains all intersection ID, and all mark is；
S2, the intersection ID for taking the one of mark obtained in step S1 to be, labeled as visited, and enter
Step S3；
S3, table acquisition all road section IDs in section are looked into using crossing ID (intersection ID) as downstream road junction；
S4, table acquisition all track ID in track are looked into road section ID, graticule analysis is carried out to track：For every track from track
Direction table obtains corresponding graticule numbering；
If track >=2 (as two tracks or two tracks of straight trip be to the left present) of same alike result be present in S5, section graticule,
It is transferred to step S6 to be further processed, does not otherwise process, it is reasonable gives tacit consent to the traffic lane line；
S6, analyzed one by one for possessing several tracks (number of track-lines >=2) of same alike result in a section, define same attribute first
Track group, one group will be classified as with the several tracks equally turned to, by itself and other track comparative analyses；
S7, obtain each track of a certain corresponding road section entrance driveway in the crossing using big data platform and track group (possesses same alike result
Track combination) early evening peak and flat peak 15min historical traffic datas；
S8, rejecting abnormalities value, the history average discharge V of section straight trip (or left-hand rotation) track group 15min in 15 days is calculated, is calculated
Respectively turn left (or straight trip) track 15min history average discharge of the section is respectively (V1, V2 ... ..., Vn) in historical time；
S9, setting section historical traffic rate of change threshold value beta, compare the mean flow of the section Through Lane group and other left turn lanes
The relation of amount, and compared with corresponding threshold value beta, during more than threshold value, i.e. (Vn-V)/V1>β, then judge the track group now graticule
Set it is unreasonable, otherwise rationally；
S10, the graticule for counting according to step S5 and S9 result of determination the one day early evening peak in crossing and all track groups in flat peak are sentenced
Result is determined, if unreasonable number ratio occurs in certain track group>ε (configurable), then judge that the road junction roadway group graticule is set and do not conform to
Reason.
2. computational methods according to claim 1, it is characterised in that in step S4 the numbering in track be 1 to the right, 2 to the left,
3 straight trips, 4 are turned around, and compound track is corresponding several numberings.
3. computational methods according to claim 1, it is characterised in that the section in one month is calculated in step S8 and is respectively turned left
(or straight trip) track 15min history average discharge is respectively (V1, V2 ... ..., Vn).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711159671.2A CN107730891A (en) | 2017-11-20 | 2017-11-20 | A kind of evaluation method of Road Traffic Organisation's canalization |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711159671.2A CN107730891A (en) | 2017-11-20 | 2017-11-20 | A kind of evaluation method of Road Traffic Organisation's canalization |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107730891A true CN107730891A (en) | 2018-02-23 |
Family
ID=61216439
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711159671.2A Pending CN107730891A (en) | 2017-11-20 | 2017-11-20 | A kind of evaluation method of Road Traffic Organisation's canalization |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107730891A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109377755A (en) * | 2018-10-31 | 2019-02-22 | 惠州市德赛西威汽车电子股份有限公司 | A kind of lane efficiency optimization apparatus for grouping and method |
| CN109920251A (en) * | 2019-04-23 | 2019-06-21 | 公安部交通管理科学研究所 | A kind of urban road intersection traffic organization rationality diagnostic analysis method and system |
| CN111210632A (en) * | 2020-01-19 | 2020-05-29 | 浙江大华技术股份有限公司 | Analysis method and device for lane function division rationality and storage medium |
| WO2020135141A1 (en) * | 2018-12-29 | 2020-07-02 | 阿里巴巴集团控股有限公司 | Traffic road network description method and device |
| CN111613048A (en) * | 2019-02-26 | 2020-09-01 | 北京嘀嘀无限科技发展有限公司 | Lane information detection method and device, electronic equipment and storage medium |
| CN111695714A (en) * | 2019-03-12 | 2020-09-22 | 北京嘀嘀无限科技发展有限公司 | Lane canalization rationality detection method and device, electronic equipment and storage medium |
| CN111833592A (en) * | 2019-04-18 | 2020-10-27 | 杭州海康威视数字技术股份有限公司 | Intersection traffic organization optimization method and device and computer equipment |
| CN111882859A (en) * | 2020-06-04 | 2020-11-03 | 北京百度网讯科技有限公司 | Traffic lane passing adjustment method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005181067A (en) * | 2003-12-18 | 2005-07-07 | Nissan Motor Co Ltd | Three-dimensional road surface running environment model, and evaluation equipment of vehicle-behavior-control system provided with the same |
| 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 |
| CN106530699A (en) * | 2016-11-21 | 2017-03-22 | 中兴软创科技股份有限公司 | Method and system for recognizing variable and guiding lane |
| CN107038864A (en) * | 2017-05-28 | 2017-08-11 | 浙江大学 | A kind of crossing inlet guided vehicle road sets reasonability to sentence method for distinguishing |
| CN107067726A (en) * | 2017-05-28 | 2017-08-18 | 浙江大学 | It is a kind of to recognize the method that the variable guided vehicle road of crossing inlet sets suitability |
| CN107293131A (en) * | 2017-07-19 | 2017-10-24 | 公安部交通管理科学研究所 | A kind of crossroad signal Signal Phase Design method |
-
2017
- 2017-11-20 CN CN201711159671.2A patent/CN107730891A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005181067A (en) * | 2003-12-18 | 2005-07-07 | Nissan Motor Co Ltd | Three-dimensional road surface running environment model, and evaluation equipment of vehicle-behavior-control system provided with the same |
| 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 |
| CN106530699A (en) * | 2016-11-21 | 2017-03-22 | 中兴软创科技股份有限公司 | Method and system for recognizing variable and guiding lane |
| CN107038864A (en) * | 2017-05-28 | 2017-08-11 | 浙江大学 | A kind of crossing inlet guided vehicle road sets reasonability to sentence method for distinguishing |
| CN107067726A (en) * | 2017-05-28 | 2017-08-18 | 浙江大学 | It is a kind of to recognize the method that the variable guided vehicle road of crossing inlet sets suitability |
| CN107293131A (en) * | 2017-07-19 | 2017-10-24 | 公安部交通管理科学研究所 | A kind of crossroad signal Signal Phase Design method |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109377755B (en) * | 2018-10-31 | 2021-11-30 | 惠州市德赛西威汽车电子股份有限公司 | Lane traffic efficiency optimizing grouping device and method |
| CN109377755A (en) * | 2018-10-31 | 2019-02-22 | 惠州市德赛西威汽车电子股份有限公司 | A kind of lane efficiency optimization apparatus for grouping and method |
| WO2020135141A1 (en) * | 2018-12-29 | 2020-07-02 | 阿里巴巴集团控股有限公司 | Traffic road network description method and device |
| CN111613048B (en) * | 2019-02-26 | 2022-02-08 | 北京嘀嘀无限科技发展有限公司 | Lane information detection method and device, electronic equipment and storage medium |
| CN111613048A (en) * | 2019-02-26 | 2020-09-01 | 北京嘀嘀无限科技发展有限公司 | Lane information detection method and device, electronic equipment and storage medium |
| CN111695714B (en) * | 2019-03-12 | 2023-08-04 | 北京嘀嘀无限科技发展有限公司 | Lane canalization rationality detection method and device, electronic equipment and storage medium |
| CN111695714A (en) * | 2019-03-12 | 2020-09-22 | 北京嘀嘀无限科技发展有限公司 | Lane canalization rationality detection method and device, electronic equipment and storage medium |
| CN111833592A (en) * | 2019-04-18 | 2020-10-27 | 杭州海康威视数字技术股份有限公司 | Intersection traffic organization optimization method and device and computer equipment |
| CN111833592B (en) * | 2019-04-18 | 2022-05-31 | 杭州海康威视数字技术股份有限公司 | Intersection traffic organization optimization method and device and computer equipment |
| CN109920251B (en) * | 2019-04-23 | 2021-12-28 | 公安部交通管理科学研究所 | Urban road intersection traffic organization reasonability diagnosis and analysis method and system |
| CN109920251A (en) * | 2019-04-23 | 2019-06-21 | 公安部交通管理科学研究所 | A kind of urban road intersection traffic organization rationality diagnostic analysis method and system |
| CN111210632A (en) * | 2020-01-19 | 2020-05-29 | 浙江大华技术股份有限公司 | Analysis method and device for lane function division rationality and storage medium |
| CN111882859A (en) * | 2020-06-04 | 2020-11-03 | 北京百度网讯科技有限公司 | Traffic lane passing adjustment method and device |
| CN111882859B (en) * | 2020-06-04 | 2022-01-11 | 阿波罗智联(北京)科技有限公司 | Traffic lane passing adjustment method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107730891A (en) | A kind of evaluation method of Road Traffic Organisation's canalization | |
| CN104408925B (en) | Crossing evaluation of running status method based on display radar | |
| CN110276973B (en) | Automatic intersection traffic rule identification method | |
| CN101739824B (en) | Data fusion technology-based traffic condition estimation method | |
| CN110363985B (en) | Traffic data analysis method, device, storage medium and equipment | |
| CN107665582A (en) | A kind of level of service evaluation method based on multi-source data | |
| CN107945511A (en) | A kind of computational methods of intersection delay time | |
| CN108681717B (en) | Quality detection method for urban traffic video detection equipment | |
| CN105575120B (en) | The floating car data parking behavior pattern cleaning method calculated towards road real-time speed | |
| Ardekani et al. | Macroscopic speed-flow models for characterization of freeway and managed lanes | |
| CN106600989A (en) | Intelligent traffic guidance control system | |
| JP4003827B2 (en) | Road surface property estimation method and system using traffic detector | |
| CN112037516A (en) | Method for designing and controlling information of waiting area of auxiliary road turning vehicle outside intersection | |
| CN105427600B (en) | A kind of congestion in road real-time identification method and device based on FCD | |
| CN107146413A (en) | A kind of smart city service platform | |
| CN103714706A (en) | Traffic guidance method | |
| CN105741572A (en) | Traffic light control method in largest vehicle flowrate time period based on Internet of Things | |
| CN105551241A (en) | Real-time congestion analysis method based on FCD and EP multi-source data | |
| CN105389982B (en) | Urban intersection congestion event detection and method for dissipating based on FCD | |
| CN103680168B (en) | A kind of traffic information distribution method | |
| CN109947755B (en) | Pavement usability detection data quality control method, storage medium and electronic equipment | |
| CN108182805B (en) | Highway vehicle monitoring and management method based on belief double-base modeling | |
| Bassani et al. | Variables influencing speed distribution on urban arterials and collectors | |
| Yan-Yong et al. | Design approach of channelized island based on traffic conflict models at signalized intersection | |
| Matysiak et al. | The analysis of ANPR camera location points in bus lanes monitoring system in the city of Warsaw |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| 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. |
|
| CB02 | Change of applicant information | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180223 |
|
| RJ01 | Rejection of invention patent application after publication |