CN103280109B - The acquisition methods of hourage and device, prognoses system - Google Patents
The acquisition methods of hourage and device, prognoses system Download PDFInfo
- Publication number
- CN103280109B CN103280109B CN201310227307.0A CN201310227307A CN103280109B CN 103280109 B CN103280109 B CN 103280109B CN 201310227307 A CN201310227307 A CN 201310227307A CN 103280109 B CN103280109 B CN 103280109B
- Authority
- CN
- China
- Prior art keywords
- data
- hourage
- highway
- parameter
- charge
- 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
Landscapes
- Devices For Checking Fares Or Tickets At Control Points (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides acquisition methods and device, the prognoses system of a kind of hourage, wherein, said method includes: obtains from the transit equipment monitoring terminal of highway and specifies parameter, wherein, described appointment parameter includes: the charge data of highroad toll collection system, other data in addition to described charge data；Model prediction hourage preset is utilized to obtain the hourage between described freeway toll station point according to described charge data；Utilize monitoring data that the hourage of model prediction hourage is carried out verification correction according to described；Output verification revised hourage.Use the such scheme of the present invention, solve in correlation technique, it is impossible to obtain the technical problems such as data accurate hourage, thus improve predicting travel time precision.
Description
Technical field
The present invention relates to Intelligent public transportation field, in particular to acquisition methods and device, the prediction of a kind of hourage
System.
Background technology
Along with traffic fast development in recent years, on highway, shipping dramatically increases with the passenger traffic volume, and private car is constantly popularized so that
The highway pressure that passes through increases day by day, and Operation and Management of Expressway and Information Service Level are proposed new challenge.At present,
By to the construction of highway, run, raise financing and related industry operation, gradually formed through informatization for many years
Scale, the management of normalized Mechatronic Systems.System creates substantial amounts of information data in running, the data of accumulation
Resource has contained abundant potential information and clue.How these information are preferably used, and then predict some futures
Traffic circulation trend, provides preferably service to be the problem being worth inquiring into for the public.
In numerous travel information, maximally effective no more than hourage to the public, and other friendship such as speed, flow
Logical trip information was the most all reflected on hourage.Therefore, hourage is the important indicator of reflection traffic noise prediction, letter
Single directly perceived, it is simple to understand, generally accepted by traffic professional and the public and use, being that public's trip decision-making is the most straight
The foundation seen.And include link travel time and toll plaza parking waiting time hourage, when highway vehicle flowrate tends to
Time saturated, gateway, indivedual toll plaza queuing phenomena is serious, causes the waiting vehicle delay time at stop to be greatly increased, even affects master
Bus circulation row.Therefore, the pass through research of level of toll plaza is the important means that manager improves service quality, indirect induction
Public Traveling Path selection.From the point of view of international trend, along with the enforcement of intelligent transportation system, travel time information and square
Current level has obtained more and more extensive at the aspect such as traffic monitoring management, Traveler Information service, communications policy support and evaluation
Application.But, the traffic that can only obtain highway in correlation technique but obtains less than data hourage accurately,
Have impact on Consumer's Experience.
For the problems referred to above in correlation technique, effective solution is the most not yet proposed.
Summary of the invention
For the problems referred to above in correlation technique, the present invention provides acquisition methods and device, the prognoses system of a kind of hourage,
At least to solve the problems referred to above.
According to an aspect of the invention, it is provided the acquisition methods of a kind of hourage, including: set from the traffic of highway
Obtaining in standby monitoring terminal and specify parameter, wherein, described appointment parameter includes: the charge data of highroad toll collection system, except described
Other data outside charge data；Model prediction hourage preset is utilized to obtain described high speed according to described charge data public
Hourage between the toll station of road；Utilize monitoring data that the hourage of model prediction hourage is carried out school according to described
Running repair is just；Output verification revised hourage.
Preferably, obtain according to predetermined period from the transit equipment monitoring terminal of highway and specify parameter, including: obtain in real time
Take the data that all or part transit equipment monitoring terminal of highway collects；According to default week from the described data obtained
Phase extracts described appointment parameter.
Preferably, model described hourage includes: hourage of based on Kalman filtering algorithm model.
Preferably, other data described include at least one of: the toll plaza data on flows of highroad toll collection system, electronics are received
Charge system ETC track data on flows, weather and/or traffic event data, outfield vehicle checker data on flows.
Preferably, according to hourage described in other data separate described, model carries out verification correction to described hourage, also wraps
Include: obtain in other the data described result of calculation corresponding with other data described after described hourage models treated；
According to described result of calculation, are carried out verification described hourage to revise.
Preferably, said method also includes: export described result of calculation.
According to another aspect of the present invention, it is provided that the acquisition device of a kind of hourage, including acquisition module, for from
Obtaining in the transit equipment monitoring terminal of highway and specify parameter, wherein, described appointment parameter includes: highroad toll collection system
Charge data, other data in addition to described charge data；Prediction module, for preset according to the utilization of described charge data
Model prediction hourage obtains the hourage between described freeway toll station point；Correcting module, for according to described other
Hourage described in data separate, model carried out verification correction to described hourage；Output module, after output verification correction
Hourage.
Preferably, described acquisition module includes: acquiring unit, for all or part transit equipment of acquisition highway in real time
The data that monitoring terminal collects；Extracting unit, for specifying ginseng according to predetermined period extraction is described from the described data obtained
Number.
Preferably, described acquisition module, for when other data described include at least one of, obtain described appointment and join
Number: the toll plaza data on flows of highroad toll collection system, E-payment system ETC track data on flows, weather and/or traffic thing
Number of packages evidence, outfield vehicle checker data on flows.
According to a further aspect of the invention, it is provided that the prognoses system of a kind of hourage, including: data pick-up subsystem,
It is saved in system actual data storehouse after processing to ephemeral data banked cache from external system extraction desired data；Whilst on tour
Between predicting subsystem, for utilizing the highway website charge data in described actual data storehouse to carry out trip between highway website
Row time prediction, and with other monitoring data, described hourage is modified；Information issues subsystem, is used for showing prediction
The hourage arrived.
By the present invention, use and utilize model prediction hourage to obtain hourage according to charge data, and according to except charge number
The technological means that hourage is modified by other data outside according to, solves in correlation technique, it is impossible to it is the most accurate to obtain
The technical problem such as data hourage, thus improve predicting travel time precision.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, and the present invention shows
Meaning property embodiment and explanation thereof are used for explaining the present invention, are not intended that inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of the acquisition methods of the hourage according to the embodiment of the present invention 1；
Fig. 2 is the structured flowchart of the acquisition device of the hourage according to the embodiment of the present invention 1；
Fig. 3 is another structured flowchart of the acquisition device of the hourage according to the embodiment of the present invention 1；
Fig. 4 is the structured flowchart of the prognoses system of the hourage according to the embodiment of the present invention 1；
Fig. 5 is the prediction principle schematic diagram of the hourage according to the embodiment of the present invention 2；
Fig. 6 is the principle schematic of the predicting travel time subsystem according to the embodiment of the present invention 2；
Fig. 7 is the principle schematic of the current index subsystem according to the embodiment of the present invention 2.
Detailed description of the invention
Below with reference to accompanying drawing and describe the present invention in detail in conjunction with the embodiments.It should be noted that in situation about not conflicting
Under, the embodiment in the application and the feature in embodiment can be mutually combined.
Embodiment 1
Fig. 1 is the flow chart of the acquisition methods of the hourage according to the embodiment of the present invention 1.As it is shown in figure 1, the method includes:
Step S102, obtains from the transit equipment monitoring terminal of highway and specifies parameter, and wherein, this appointment parameter includes:
The charge data of highroad toll collection system, other data in addition to above-mentioned charge data；
Step S104, utilizes model prediction hourage preset to obtain between freeway toll station point according to above-mentioned charge data
Hourage；
Step S106, carries out verification according to other data separate model hourage above-mentioned to above-mentioned hourage and revises；
Step S108, output verification revised hourage.
By each step above-mentioned, it is main prediction hourage owing to using with charge data, is auxiliary to this with other data above-mentioned
Carry out verification hourage to revise, therefore, it can predict exactly hourage.
In the present embodiment, the implementation of step S102 has multiple, such as, can lay new monitoring terminal above-mentioned to obtain
Specify parameter, it is also possible to utilize existing monitoring device to realize, for latter implementation: to obtain the institute of highway in real time
Have or data that part transit equipment monitoring terminal collects；Parameter is specified according to predetermined period extraction from the data obtained, this
Sample utilizes existing information management system (including various monitor terminal) through the mode of data mining, greatly reduces detection
Cost.
Step S104 can be realized by following processing procedure, first charge data is carried out pretreatment, by rejecting abnormalities number
The optimization pretreatment of data is carried out according to, the method such as quartering, data interpolating (difference the most at equal intervals).Afterwards by cleaned
Charge data is brought Kalman filter equation into and is carried out the prediction of hourage, and its principle is: utilize the optimum of t-1 moment state variable
The observation in estimated value and t-1 moment comes the optimal filter estimated value of more newly obtained t-1 moment state variable, and then prediction t
The optimal estimation value of state variable
Step S106 can be realized by following processing procedure: in view of monitoring data, some does not has real-time interconnection, monitoring
Information delay embodies in event, the most afterwards report form, and therefore predicting travel time is based on charge data, monitors number
It is auxiliary to predict hourage according to, section detection data (other data the most above-mentioned include: monitoring data and section detection data).
The section detection data i.e. instantaneous velocity of vehicle, can draw the average speed in this section, afterwards by hourage and distance between sites
The speed collection bringing respective stretch section detection data into carries out differenceization calculating and checking, thus reaches to repair predicting travel time
Just.Under accident event, calculating if, with the normal Kalman filtering factor, error is the biggest, so utilizing prison
The event information of control data can trigger prediction algorithm entry event predictive mode, utilizes the calculating factor under event to be predicted, with
Ensure the precision of prediction under abnormal condition.
In the present embodiment, model above-mentioned hourage includes: hourage of based on Kalman filtering algorithm model.
In the present embodiment, other data above-mentioned include but not limited at least one of: the toll plaza of highroad toll collection system is flowed
Amount data, E-payment system ETC track data on flows, weather and/or traffic event data, outfield vehicle checker flow number
According to.
In the present embodiment, step S106 can be to show as implemented below form: obtains in other data above-mentioned through whilst on tour
Between the result of calculation corresponding with other data above-mentioned after models treated；According to result of calculation, are carried out verification hourage to revise.
In the present embodiment, it is also possible to output result of calculation, such as show on a display screen etc. together with hourage.
Additionally provide the acquisition device of a kind of hourage in the present embodiment, be used for realizing above-described embodiment and the side of being preferable to carry out
Formula, had carried out repeating no more of explanation, had illustrated the module related in this device below.Use as following
, term " module " can realize the software of predetermined function and/or the combination of hardware.Although the device described by following example
Preferably realize with software, but hardware, or the realization of the combination of software and hardware also may and be contemplated.Fig. 2
Structured flowchart for the acquisition device of the hourage according to the embodiment of the present invention 1.As in figure 2 it is shown, this device includes:
Acquisition module 20, is connected to prediction module 22, specifies ginseng for obtaining from the transit equipment monitoring terminal of highway
Number, wherein, it is intended that parameter includes: the charge data of highroad toll collection system, other data in addition to charge data.；
Prediction module 22, is connected to correcting module 24, for utilizing model prediction hourage preset to obtain according to charge data
Hourage between freeway toll station point；
Correcting module 24, is connected to output module 26, for entering hourage according to other data separate model hourage
Row verification is revised；
Output module 26, for output verification revised hourage.
In the present embodiment, as it is shown on figure 3, above-mentioned acquisition module 20 includes: acquiring unit 200, it is connected to extracting unit
202, the data that all or part transit equipment monitoring terminal for acquisition highway in real time collects；Extracting unit 202,
For specifying parameter according to predetermined period extraction from the data obtained.
Preferably, acquisition module 20, for when other data include at least one of, obtain and specify parameter: highway toll
The toll plaza data on flows of system, E-payment system ETC track data on flows, weather and/or traffic event data, outer
Field vehicle checker data on flows.
As mentioned above, the above-mentioned modules related in the present embodiment both can be realized by software, it is also possible to passes through
Correspondingly hardware realizes.Such as, above-mentioned modules all can be located within a processor, such as；Above-mentioned modules is in
In one processor, or the two of which module in aforementioned four module is positioned in a processor, and remaining module is positioned at separately
In an outer processor, etc..
Fig. 4 is the structured flowchart of the prognoses system of the hourage according to the embodiment of the present invention 1.As shown in Figure 4, this system bag
Include:
Data pick-up subsystem 40, for extracting to be saved in after desired data processes to ephemeral data banked cache from external system be
In system actual data storehouse；
Predicting travel time subsystem 42, for utilizing the highway website charge data in actual data storehouse to carry out highway
Predicting travel time between website, and with other monitoring data, hourage is modified；
Information issues subsystem 44, the hourage predicted for display.
Embodiment 2
It is a kind of based on data mining skill that the present embodiment utilizes the existing freeway information management system in Expressway Information center to use
Art and Kalman filtering algorithm predict hourage, and by a kind of trip of special travel time sign issuing time information
Row time system, this system can be the travel time information that the public provides between highway any two gateway.Solve existing
The traffic that can only obtain highway in technology is had but to obtain unpredictable less than data hourage accurately and issue height
The problem of speed road journeys time.
Expressway travel time system prediction refers to Fig. 5, by data pick-up subsystem, predicting travel time subsystem, letter
Breath is issued subsystem three part and is constituted.
Data pick-up subsystem to ephemeral data banked cache, carries out data through data conversion module clear from external system extraction desired data
Washing and repair, the data after conversion are saved in system actual data storehouse by data loading module.The data of external system extraction include
MTC, ETC track, toll plaza data on flows of Expressway Information Fare Collection System, monitoring system special weather and traffic events
Data, outfield vehicle checker data on flows etc..
As shown in Figure 6, the traffic data during predicting travel time subsystem utilizes actual data storehouse carries out predicting travel time, wide
Queuing Index for Calculation, parameters revision etc. calculate process, provide real-time hourage for external call system, square is current refers to
The result of calculation of number.With charge data be main prediction hourage, to monitor data, cross-section monitoring data are auxiliary correction.
Information is issued subsystem responsible and predicting travel time subsystem result of calculation is externally issued, and hourage, published method was main
For outfield travel time sign equipment, current index is issued to management level by internal WEB.
Step one: data pick-up: extraction mode: utilize ELT instrument to use increment extraction mode, thinks 7 × 24 hours for week
Phase uninterruptedly performs extraction task, and the cycle of extraction new data is 2 minutes every time.
Step 2: predicting travel time subsystem pass through configuration high-speed highway each site parameter information, realize simultaneously charge data,
Section detection data extract in real time with monitoring data, analyze and process, and import data to Kalman filtering algorithm model, can
Hourage between real-time estimate highway station.This subsystem mainly includes manual intervention, primary data analysis and process and travelling
Three modules of Time Calculation.
As it is shown in fig. 7, current Index for Calculation subsystem is by reading the essential information of toll plaza, the queueing message number to square
According to being acquired and analyzing and processing, the data obtained passes through exponentiation algorithm, calculates the congestion index of square specific period.This subsystem
System includes that raw data acquisition, current Index for Calculation and information issue three modules.
Step 3: travel time information is issued: mainly being issued by travel time sign, travel time sign has two kinds:
Fastlink travel time sign such as Fig. 3 and toll plaza travel time sign such as Fig. 4.Fastlink mark hourage
Plate is installed on charge station's Entrance ramp and main road intersection, and toll plaza travel time sign is installed on charge station porch, trip
Row time tag plate can show the hourage away from lower three websites simultaneously, and release cycle elects 10 minutes as.Special hourage marks
Time figure display screen on will plate can show green, yellow, red prompting information of road condition respectively according to congestion in road situation
In sum, the embodiment of the present invention achieves following beneficial effect:
Data mining theories is introduced in the operation of highway tolling system, propose in predicting travel time based on charge
Data are main, that the thinking being auxiliary with monitoring system data is predicted and realizes new approaches.
Utilize existing information management system through the mode of data mining, greatly reduce traditional technique in measuring device detection method
Cost.
Predict with charge data, bigger in the way of monitoring system data check improve predicting travel time precision.
Obviously, those skilled in the art should be understood that each module of the above-mentioned present invention or each step can be with general calculating
Device realizes, and they can concentrate on single calculating device, or is distributed in the network that multiple calculating device is formed
On, alternatively, they can realize with calculating the executable program code of device, it is thus possible to be stored in storage
Device is performed by calculating device, and in some cases, can perform with the order being different from herein shown or described
Step, or they are fabricated to respectively each integrated circuit modules, or the multiple modules in them or step are fabricated to
Single integrated circuit module realizes.So, the present invention is not restricted to the combination of any specific hardware and software.
These are only the preferred embodiments of the present invention, be not limited to the present invention, those skilled in the art is come
Saying, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, any amendment of being made, equivalent
Replacement, improvement etc., should be included within the scope of the present invention.
Claims (10)
1. the acquisition methods of a hourage, it is characterised in that including:
Obtaining from the transit equipment monitoring terminal of highway and specify parameter, wherein, described appointment parameter includes: highway
The charge data of Fare Collection System, other data in addition to described charge data；
Model prediction hourage preset is utilized to obtain the trip between described freeway toll station point according to described charge data
The row time；
According to hourage described in other data separate described, hourage is carried out verifying correction by model；
Output verification revised hourage.
Method the most according to claim 1, it is characterised in that according to presetting from the transit equipment monitoring terminal of highway
Cycle obtains specifies parameter, including:
Obtain the data that all or part transit equipment monitoring terminal of highway collects in real time；
Described appointment parameter is extracted according to predetermined period from the described data obtained.
Method the most according to claim 1, it is characterised in that described hourage, model included: calculate based on Kalman filtering
Model hourage of method.
Method the most according to claim 1, it is characterised in that other data described include at least one of:
The toll plaza data on flows of highroad toll collection system, E-payment system ETC track data on flows, weather and/or friendship
Logical event data, outfield vehicle checker data on flows.
5. according to the method described in any one of Claims 1-4, it is characterised in that travel according to described in other data separate described
Time model carries out verification and revises described hourage, also includes:
Obtain at other the data described calculating knot corresponding with other data described after described hourage models treated
Really；
According to described result of calculation, are carried out verification described hourage to revise.
Method the most according to claim 5, it is characterised in that also include:
Export described result of calculation.
7. the acquisition device of a hourage, it is characterised in that including:
Acquisition module, specifies parameter, wherein, described appointment for obtaining from the transit equipment monitoring terminal of highway
Parameter includes: the charge data of highroad toll collection system, other data in addition to described charge data；
Prediction module, for utilizing model prediction hourage preset to obtain described highway according to described charge data
Hourage between toll station；
Correcting module, for according to hourage described in other data separate described, described hourage was verified by model
Revise；
Output module, for output verification revised hourage.
Device the most according to claim 7, it is characterised in that described acquisition module includes:
Acquiring unit, the data that all or part transit equipment monitoring terminal for acquisition highway in real time collects；
Extracting unit, for extracting described appointment parameter according to predetermined period from the described data obtained.
Device the most according to claim 7, it is characterised in that described acquisition module, for other data described include with
Time at least one lower, obtain described appointment parameter:
The toll plaza data on flows of highroad toll collection system, E-payment system ETC track data on flows, weather and/or friendship
Logical event data, outfield vehicle checker data on flows.
10. the prognoses system of a hourage, it is characterised in that including:
Data pick-up subsystem, is saved in after processing to ephemeral data banked cache from external system extraction desired data
In system actual data storehouse；
Predicting travel time subsystem, for utilizing the highway website charge data in described actual data storehouse to carry out height
Predicting travel time between speed highway website, and with other monitoring data, described hourage is modified；
Information issues subsystem, the hourage predicted for display.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310227307.0A CN103280109B (en) | 2013-06-08 | 2013-06-08 | The acquisition methods of hourage and device, prognoses system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310227307.0A CN103280109B (en) | 2013-06-08 | 2013-06-08 | The acquisition methods of hourage and device, prognoses system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103280109A CN103280109A (en) | 2013-09-04 |
| CN103280109B true CN103280109B (en) | 2016-08-10 |
Family
ID=49062611
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310227307.0A Active CN103280109B (en) | 2013-06-08 | 2013-06-08 | The acquisition methods of hourage and device, prognoses system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103280109B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104900061B (en) * | 2015-05-29 | 2017-08-08 | 内蒙古工业大学 | link travel time monitoring method and device |
| CN112820103B (en) * | 2020-12-31 | 2022-09-06 | 山东奥邦交通设施工程有限公司 | Integrated dynamic and static combined marker management and control method and system |
| CN113345220B (en) * | 2021-05-11 | 2022-08-16 | 山西省交通科技研发有限公司 | Highway inspection vehicle tracking and prediction analysis system |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6317686B1 (en) * | 2000-07-21 | 2001-11-13 | Bin Ran | Method of providing travel time |
| JP2002216192A (en) * | 2001-01-16 | 2002-08-02 | Toshiba Corp | Variable toll accounting system and storage medium |
| EP2232457B1 (en) * | 2007-12-20 | 2013-02-20 | Telecom Italia S.p.A. | Method and system for forecasting travel times on roads |
| CN101794512A (en) * | 2009-12-30 | 2010-08-04 | 北京世纪高通科技有限公司 | Travel time predicting method and device |
| DE102010062025A1 (en) * | 2010-10-29 | 2012-05-03 | Siemens Aktiengesellschaft | System for determining the traffic situation on a road |
| CN102081846B (en) * | 2011-02-22 | 2013-06-05 | 交通运输部公路科学研究所 | Expressway charge data track matching based traffic state recognition method |
| CN102800198B (en) * | 2012-08-15 | 2015-05-13 | 重庆大学 | Measuring and calculating method for traffic flow of section of expressway |
-
2013
- 2013-06-08 CN CN201310227307.0A patent/CN103280109B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN103280109A (en) | 2013-09-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104464295B (en) | A kind of overhead Entrance ramp intelligence restricted driving method based on video | |
| CN103886756B (en) | Based on the freeway network method for detecting operation state of OBU | |
| CN104134349B (en) | A kind of public transport road conditions disposal system based on traffic multisource data fusion and method | |
| Kwon et al. | Components of congestion: Delay from incidents, special events, lane closures, weather, potential ramp metering gain, and excess demand | |
| CN103839409B (en) | Based on the traffic flow modes method of discrimination of multibreak facial vision sensing cluster analysis | |
| CN104123833B (en) | A kind of planning method and device of condition of road surface | |
| CN104408925B (en) | Crossing evaluation of running status method based on display radar | |
| Chen et al. | Exploring travel time distribution and variability patterns using probe vehicle data: case study in Beijing | |
| CN103985250A (en) | Light-weight holographic road traffic state visual inspection device | |
| CN113947905B (en) | Traffic operation situation sensing method, module and system | |
| CN102610088B (en) | Method for forecasting travel time between bus stops | |
| CN101540099A (en) | Method and system for judging road traffic states | |
| CN103077610A (en) | Road trip time estimating method and system | |
| CN103280110B (en) | The Forecasting Methodology and device of expressway travel time | |
| KR20140050022A (en) | Method and system for collecting traffic data | |
| CN106203662A (en) | A kind of based on ETC system realize highway pass through reservation method | |
| CN116935654B (en) | Smart city data analysis method and system based on data distribution value | |
| CN110008595B (en) | ETC energy-saving and emission-reducing benefit measuring and calculating method and device | |
| CN112885089B (en) | Main line green wave intelligent diagnosis method based on multi-dimensional indexes | |
| CN103280109B (en) | The acquisition methods of hourage and device, prognoses system | |
| CN103661501A (en) | Automatic station current limiting method based on multi-point passenger flow detection information feedback | |
| CN110395298A (en) | A kind of passenger flow intelligent guidance system and method | |
| CN101551940A (en) | Urban high-speed road traffic state judging and issuing system and method thereof | |
| CN104575049B (en) | A kind of elevated ramp intellectual inducing method and device based on array radar | |
| CN105185107A (en) | GPS-based traffic running tendency prediction method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent for invention or patent application | ||
| CB02 | Change of applicant information |
Address after: 100070 Beijing city Fengtai District Haiying Road No. 1 Building No. 2 hospital 11 layer, 12 layer Applicant after: Beijing Yun Xingyu transport science and techonologies incorporated company Address before: 100078 Beijing city Fengtai District Fangzhuang Star Park 2 District 4 Building 6 layer Applicant before: Beijing Yunxingyu Traffic Engineering Co., Ltd. |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: APPLICANT; FROM: BEIJING YUNXINGYU TRAFFIC ENGINEERING CO., LTD. TO: BEIJING YUNXINGYU TRANSPORT TECHNOLOGY CO., LTD. |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |