CN109801474A - A kind of the Regional Risk analysis method and system of urban safety - Google Patents
A kind of the Regional Risk analysis method and system of urban safety Download PDFInfo
- Publication number
- CN109801474A CN109801474A CN201910131841.9A CN201910131841A CN109801474A CN 109801474 A CN109801474 A CN 109801474A CN 201910131841 A CN201910131841 A CN 201910131841A CN 109801474 A CN109801474 A CN 109801474A
- Authority
- CN
- China
- Prior art keywords
- data
- region
- bayonet
- vehicle
- analysis
- 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
Abstract
The present invention relates to urban safety risk management and control fields, disclose the Regional Risk analysis method and system of a kind of urban safety, acquire crowd activity's area video data by obtaining video monitoring equipment；Obtain the bayonet data of each main entrance in region；According to each bayonet data in region, the statistics and calculating of bayonet wagon flow are carried out, analysis enters vehicle and the personnel ratios in region, obtains area stay vehicle data, carries out area road congestion warning in advance；Crowd activity's area video data are analyzed based on video detection technology, using crowd's real-time statistics, density estimation and regional dynamics stream of people's Analysis For The Anomalies under more scenes in deep learning algorithm identification region；Probability analysis and verifying, the zoning entrance stream of people and vehicle density are carried out using the bayonet data of region stream of people's historical data, bayonet flow histories data and crowd's Realtime Statistics, main entrance, carries out region security Risk-warning in advance.The present invention realizes key area real-time perception flow of the people and vehicle flowrate, realizes the security risk early warning and prevention of key area.
Description
Technical field
The present invention relates to urban safety risk management and control field more particularly to a kind of Regional Risk analysis methods of urban safety
And system.
Background technique
Emphasis Tour region, the self-driving of City complex peak period go out administrative staff and increase sharply, and existing emphasis tourist district at present
Domain, City complex parking position and open parking ground parking stall are mostly labor management, meanwhile, the inspection of main roads car flow information
Survey single, detection data viscosity not enough, and lacks information publication channel, lacks so as to cause personnel and understands congestion, berth canal
Road constantly enters congestion area, causes vicious circle, and traffic administration lacks data foundation, can only command by rule of thumb, together
When, flow of the people can not be predicted, current limliting can not be shifted to an earlier date.
Summary of the invention
The present invention provides the Regional Risk analysis method and system of a kind of urban safety, solves city emphasis in the prior art
The technical issues of region can not predict flow of the people, vehicle flowrate, can not shift to an earlier date current limliting.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of Regional Risk analysis method of urban safety, comprising:
It obtains video monitoring equipment and acquires crowd activity's area video data；
Obtain the bayonet data of each main entrance in region；
According to each bayonet data in region, the statistics and calculating of bayonet wagon flow are carried out, analysis enters vehicle and the personnel in region
Ratio obtains area stay vehicle data, carries out area road congestion warning in advance；
Crowd activity's area video data are analyzed based on video detection technology, using deep learning algorithm cog region
Crowd's real-time statistics, density estimation and regional dynamics stream of people's Analysis For The Anomalies under more scenes in domain；
According to the bayonet data of main entrance, the infomation detection analysis towards the more depth of traffic current multidimensional is carried out, is used
Video detection technology, other features of vehicle pass-through quantity, license plate number, car speed and vehicle in intellectual analysis region；
Utilize the card of region stream of people's historical data, bayonet flow histories data and crowd's Realtime Statistics, main entrance
Mouth data carry out probability analysis and verifying, the zoning entrance stream of people and vehicle density, carry out region security Risk-warning in advance.
A kind of Regional Risk analysis system of urban safety, comprising:
First obtains module, for obtaining video monitoring equipment acquisition crowd activity's area video data；
Second obtains module, the bayonet data of each main entrance for obtaining region；
First analysis module, for carrying out the statistics and calculating of bayonet wagon flow according to each bayonet data in region, analysis enters
The vehicle in region and personnel ratios obtain area stay vehicle data, carry out area road congestion warning in advance；
Second analysis module is used for being analyzed based on video detection technology crowd activity's area video data
Crowd's real-time statistics, density estimation and regional dynamics stream of people's off-note divide under more scenes in deep learning algorithm identification region
Analysis；
Third analysis module is carried out for the bayonet data according to main entrance towards the more depth of traffic current multidimensional
Infomation detection analysis, with video detection technology, vehicle pass-through quantity in intellectual analysis region, license plate number, car speed and
Other features of vehicle；
Warning module, for using region stream of people historical data, bayonet flow histories data and crowd's Realtime Statistics,
The bayonet data of main entrance carry out probability analysis and verifying, the zoning entrance stream of people and vehicle density, carry out region in advance
Security risk early warning.
The present invention provides the Regional Risk analysis method and system of a kind of urban safety, is adopted by obtaining video monitoring equipment
Collect crowd activity's area video data；Obtain the bayonet data of each main entrance in region；According to each bayonet data in region, carry out
The statistics and calculating of bayonet wagon flow, analysis enter region vehicle and personnel ratios, obtain area stay vehicle data, in advance into
Row area road congestion warning；Crowd activity's area video data are analyzed based on video detection technology, using depth
Practise in algorithm identification region crowd's real-time statistics, density estimation and regional dynamics stream of people's Analysis For The Anomalies under more scenes；Root
According to the bayonet data of main entrance, the infomation detection analysis towards the more depth of traffic current multidimensional is carried out, with video detection skill
Art, other features of vehicle pass-through quantity, license plate number, car speed and vehicle in intellectual analysis region；Using region, the stream of people is gone through
History data, bayonet flow histories data and crowd's Realtime Statistics, main entrance bayonet data probability analysis and test
Card, the zoning entrance stream of people and vehicle density carry out region security Risk-warning in advance.Realize key area real-time perception
Flow of the people and vehicle flowrate realize the security risk early warning and prevention of key area.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of Regional Risk analysis method flow chart of urban safety of the embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of the Regional Risk analysis system of urban safety of the embodiment of the present invention.
Specific embodiment
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
As shown in Figure 1, being a kind of Regional Risk analysis method of urban safety provided in an embodiment of the present invention, comprising:
Step 101 obtains video monitoring equipment acquisition crowd activity's area video data；
Step 102, obtain region each main entrance bayonet data；
Step 103, according to each bayonet data in region, carry out the statistics and calculating of bayonet wagon flow, analysis enters the vehicle in region
And personnel ratios, obtain area stay vehicle data, in advance carry out area road congestion warning；
Step 104 analyzes crowd activity's area video data based on video detection technology, is calculated using deep learning
Crowd's real-time statistics, density estimation and regional dynamics stream of people's Analysis For The Anomalies under more scenes in method identification region；
Step 105, the bayonet data according to main entrance carry out the sub-information detection towards the more depth of traffic current multidimensional
Analysis, with video detection technology, other are special for vehicle pass-through quantity, license plate number, car speed and vehicle in intellectual analysis region
Sign；
Step 106 utilizes region stream of people's historical data, bayonet flow histories data and crowd's Realtime Statistics, main
The bayonet data of entrance carry out probability analysis and verifying, the zoning entrance stream of people and vehicle density, carry out region security in advance
Risk-warning.
The method also includes:
Real-time release crowd Realtime Statistics, the bayonet data of main entrance and the instruction of region security Risk-warning.
According to the bayonet data of crowd's Realtime Statistics, main entrance, real-time routes are provided for the people and vehicle in region
Planning.
Parking lot video data is analyzed based on video detection technology, is known by machine learning, feature extraction, mode
The modes such as not realize situation detection in berth in given area under monitoring scene, obtain scenic spot parking lot berth situation；Guide scenic spot
Interior delay vehicle goes to the parking lot having vacant position.
The real-time road condition information that this system acquisition obtains is timely fed back to comprehensive approach to the management of social problems department, is controlled for social synthesis
Reason provides the data foundation of emergency event emergency disposal.
The present invention provides a kind of Regional Risk analysis method of urban safety, acquires crowd by obtaining video monitoring equipment
Zone of action video data；Obtain the bayonet data of each main entrance in region；According to each bayonet data in region, bayonet vehicle is carried out
The statistics and calculating of stream, analysis enter vehicle and the personnel ratios in region, obtain area stay vehicle data, carry out region in advance
Congestion in road early warning；Crowd activity's area video data are analyzed based on video detection technology, using deep learning algorithm
Crowd's real-time statistics, density estimation and regional dynamics stream of people's Analysis For The Anomalies under more scenes in identification region；According to main
The bayonet data of entrance carry out the infomation detection analysis towards the more depth of traffic current multidimensional, with video detection technology, intelligence
Other features of vehicle pass-through quantity, license plate number, car speed and vehicle in analyzed area；Using region stream of people's historical data,
Bayonet flow histories data and the bayonet data of crowd's Realtime Statistics, main entrance carry out probability analysis and verifying, calculate
The area entry stream of people and vehicle density carry out region security Risk-warning in advance.Realize key area real-time perception flow of the people
And vehicle flowrate, realize the security risk early warning and prevention of key area.
The embodiment of the invention also provides a kind of Regional Risk analysis systems of urban safety, as shown in Figure 2, comprising:
First obtains module 210, for obtaining video monitoring equipment acquisition crowd activity's area video data；
Second obtains module 220, the bayonet data of each main entrance for obtaining region；
First analysis module 230, for carrying out the statistics and calculating of bayonet wagon flow, analysis according to each bayonet data in region
Vehicle and personnel ratios into region obtain area stay vehicle data, carry out area road congestion warning in advance；
Second analysis module 240 is adopted for being analyzed based on video detection technology crowd activity's area video data
With crowd's real-time statistics, density estimation and regional dynamics stream of people's off-note under more scenes in deep learning algorithm identification region
Analysis；
Third analysis module 250 is carried out for the bayonet data according to main entrance towards the more depth of traffic current multidimensional
Infomation detection analysis, with video detection technology, vehicle pass-through quantity, license plate number, car speed in intellectual analysis region
With other features of vehicle；
Warning module 260, for utilizing region stream of people historical data, bayonet flow histories data and crowd's real-time statistics number
Probability analysis and verifying, the zoning entrance stream of people and vehicle density are carried out according to the bayonet data of, main entrance, carries out area in advance
Domain security risk early warning.
The system also includes:
Information issuing module 270, for real-time release crowd Realtime Statistics, the bayonet data of main entrance and region
Security risk early warning instruction.
The system also includes:
Route planning module 280 is region for the bayonet data according to crowd's Realtime Statistics, main entrance
People and vehicle provide real-time routes planning.
The system also includes:
It parks and guides module 290, for analyzing based on video detection technology parking lot video data, pass through machine
The modes such as study, feature extraction, pattern-recognition realize situation detection in berth in given area under monitoring scene, obtain scenic spot and stop
Parking lot berth situation；It is detained vehicle in guidance scenic spot and goes to the parking lot having vacant position.
The system also includes:
Data uploading module 291, the real-time road condition information for obtaining this system acquisition are timely fed back to social synthesis
Improvement department provides the data foundation of emergency event emergency disposal for comprehensive approach to the management of social problems.
Through the above description of the embodiments, those skilled in the art can be understood that the present invention can be by
Software adds the mode of required hardware platform to realize, naturally it is also possible to all implemented by hardware, but in many cases before
Person is more preferably embodiment.Based on this understanding, technical solution of the present invention contributes to background technique whole or
Person part can be embodied in the form of software products, which can store in storage medium, such as
ROM/RAM, magnetic disk, CD etc., including some instructions are used so that a computer equipment (can be personal computer, service
Device or the network equipment etc.) execute method described in certain parts of each embodiment of the present invention or embodiment.
The present invention is described in detail above, specific case used herein is to the principle of the present invention and embodiment party
Formula is expounded, and the above description of the embodiment is only used to help understand the method for the present invention and its core ideas；Meanwhile it is right
In those of ordinary skill in the art, according to the thought of the present invention, change is had in specific embodiments and applications
Place, in conclusion the contents of this specification are not to be construed as limiting the invention.
Claims (10)
1. a kind of Regional Risk analysis method of urban safety characterized by comprising
It obtains video monitoring equipment and acquires crowd activity's area video data；
Obtain the bayonet data of each main entrance in region；
According to each bayonet data in region, the statistics and calculating of bayonet wagon flow are carried out, analysis enters vehicle and the personnel ratios in region,
Area stay vehicle data is obtained, carries out area road congestion warning in advance；
Crowd activity's area video data are analyzed based on video detection technology, using in deep learning algorithm identification region
Crowd's real-time statistics, density estimation and regional dynamics stream of people's Analysis For The Anomalies under more scenes；
According to the bayonet data of main entrance, the infomation detection analysis towards the more depth of traffic current multidimensional is carried out, with video
Detection technique, other features of vehicle pass-through quantity, license plate number, car speed and vehicle in intellectual analysis region；
Utilize region stream of people's historical data, bayonet flow histories data and crowd's Realtime Statistics, the bayonet number of main entrance
According to probability analysis and verifying, the zoning entrance stream of people and vehicle density is carried out, region security Risk-warning is carried out in advance.
2. the Regional Risk analysis method of urban safety according to claim 1, which is characterized in that the method is also wrapped
It includes:
Real-time release crowd Realtime Statistics, the bayonet data of main entrance and the instruction of region security Risk-warning.
3. the Regional Risk analysis method of urban safety according to claim 1, which is characterized in that the method is also wrapped
It includes:
According to the bayonet data of crowd's Realtime Statistics, main entrance, real-time routes planning is provided for the people in region and vehicle.
4. the Regional Risk analysis method of urban safety according to claim 1, which is characterized in that the method is also wrapped
It includes:
Parking lot video data is analyzed based on video detection technology, passes through machine learning, feature extraction, pattern-recognition etc.
Mode realizes situation detection in berth in given area under monitoring scene, obtains scenic spot parking lot berth situation；It guides stagnant in scenic spot
Vehicle is stayed to go to the parking lot having vacant position.
5. the Regional Risk analysis method of urban safety according to claim 1, which is characterized in that the method is also wrapped
It includes:
The real-time road condition information that this system acquisition obtains is timely fed back to comprehensive approach to the management of social problems department, is mentioned for comprehensive approach to the management of social problems
For the data foundation of emergency event emergency disposal.
6. a kind of Regional Risk analysis system of urban safety characterized by comprising
First obtains module, for obtaining video monitoring equipment acquisition crowd activity's area video data；
Second obtains module, the bayonet data of each main entrance for obtaining region；
First analysis module, for carrying out the statistics and calculating of bayonet wagon flow according to each bayonet data in region, analysis enters region
Vehicle and personnel ratios, obtain area stay vehicle data, in advance carry out area road congestion warning；
Second analysis module, for being analyzed based on video detection technology crowd activity's area video data, using depth
Crowd's real-time statistics, density estimation and regional dynamics stream of people's Analysis For The Anomalies under more scenes in learning algorithm identification region；
Third analysis module carries out the information towards the more depth of traffic current multidimensional for the bayonet data according to main entrance
It tests and analyzes, with video detection technology, vehicle pass-through quantity, license plate number, car speed and vehicle in intellectual analysis region
Other features；
Warning module is used for using region stream of people historical data, bayonet flow histories data and crowd's Realtime Statistics, mainly
The bayonet data of entrance carry out probability analysis and verifying, the zoning entrance stream of people and vehicle density, carry out region security in advance
Risk-warning.
7. the Regional Risk analysis system of urban safety according to claim 6, which is characterized in that the system is also wrapped
It includes:
Information issuing module, for real-time release crowd Realtime Statistics, the bayonet data of main entrance and region security wind
Dangerous early warning instruction.
8. the Regional Risk analysis system of urban safety according to claim 6, which is characterized in that the system is also wrapped
It includes:
Route planning module is people and the vehicle in region for the bayonet data according to crowd's Realtime Statistics, main entrance
Real-time routes planning is provided.
9. the Regional Risk analysis system of urban safety according to claim 6, which is characterized in that the system is also wrapped
It includes:
It parks and guides module, for analyzing based on video detection technology parking lot video data, pass through machine learning, spy
The modes such as extraction, pattern-recognition are levied, situation detection in berth in given area under monitoring scene is realized, obtains scenic spot parking lot berth
Situation；It is detained vehicle in guidance scenic spot and goes to the parking lot having vacant position.
10. the Regional Risk analysis system of urban safety according to claim 6, which is characterized in that the system is also wrapped
It includes:
Data uploading module, the real-time road condition information for obtaining this system acquisition are timely fed back to comprehensive approach to the management of social problems portion
Door, provides the data foundation of emergency event emergency disposal for comprehensive approach to the management of social problems.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910131841.9A CN109801474A (en) | 2019-02-22 | 2019-02-22 | A kind of the Regional Risk analysis method and system of urban safety |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910131841.9A CN109801474A (en) | 2019-02-22 | 2019-02-22 | A kind of the Regional Risk analysis method and system of urban safety |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109801474A true CN109801474A (en) | 2019-05-24 |
Family
ID=66561236
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910131841.9A Pending CN109801474A (en) | 2019-02-22 | 2019-02-22 | A kind of the Regional Risk analysis method and system of urban safety |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109801474A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110796861A (en) * | 2019-10-31 | 2020-02-14 | 江苏安防科技有限公司 | Remote data acquisition system and method applied to smart city |
| CN111831853A (en) * | 2020-07-16 | 2020-10-27 | 深圳市商汤科技有限公司 | Information processing method, device, equipment and system |
| CN112289041A (en) * | 2020-10-25 | 2021-01-29 | 储美红 | Intelligent parking lot management method based on hotspot positioning and information sharing and cloud platform |
| CN112527928A (en) * | 2019-09-19 | 2021-03-19 | 中国石油天然气股份有限公司 | Pipeline protection area dividing method and device and readable storage medium |
| CN113808399A (en) * | 2021-09-15 | 2021-12-17 | 谦亨信息化技术与系统(苏州)有限公司 | Intelligent traffic management method and system based on big data |
| CN113936247A (en) * | 2021-09-18 | 2022-01-14 | 北京交通大学 | Passenger flow state identification system of rail transit station based on streamline perception |
| CN114283615A (en) * | 2021-12-24 | 2022-04-05 | 浙江力石科技股份有限公司 | Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot |
| CN116665457A (en) * | 2023-07-31 | 2023-08-29 | 新唐信通(北京)科技有限公司 | Traffic monitoring system and method based on intelligent traffic Internet of things |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107730427A (en) * | 2017-10-09 | 2018-02-23 | 安徽畅通行交通信息服务有限公司 | A kind of scenic spot Traffic monitoring management system |
| CN107862437A (en) * | 2017-10-16 | 2018-03-30 | 中国人民公安大学 | The public domain crowd massing method for early warning and system assessed based on risk probability |
| US20180336781A1 (en) * | 2017-05-22 | 2018-11-22 | Alibaba Group Holding Limited | Road traffic control system, method, and electronic device |
-
2019
- 2019-02-22 CN CN201910131841.9A patent/CN109801474A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180336781A1 (en) * | 2017-05-22 | 2018-11-22 | Alibaba Group Holding Limited | Road traffic control system, method, and electronic device |
| CN107730427A (en) * | 2017-10-09 | 2018-02-23 | 安徽畅通行交通信息服务有限公司 | A kind of scenic spot Traffic monitoring management system |
| CN107862437A (en) * | 2017-10-16 | 2018-03-30 | 中国人民公安大学 | The public domain crowd massing method for early warning and system assessed based on risk probability |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112527928A (en) * | 2019-09-19 | 2021-03-19 | 中国石油天然气股份有限公司 | Pipeline protection area dividing method and device and readable storage medium |
| CN110796861A (en) * | 2019-10-31 | 2020-02-14 | 江苏安防科技有限公司 | Remote data acquisition system and method applied to smart city |
| CN111831853A (en) * | 2020-07-16 | 2020-10-27 | 深圳市商汤科技有限公司 | Information processing method, device, equipment and system |
| CN112289041A (en) * | 2020-10-25 | 2021-01-29 | 储美红 | Intelligent parking lot management method based on hotspot positioning and information sharing and cloud platform |
| CN112289041B (en) * | 2020-10-25 | 2021-12-03 | 上海智能交通有限公司 | Intelligent parking lot management method based on hotspot positioning and information sharing and cloud platform |
| CN113808399A (en) * | 2021-09-15 | 2021-12-17 | 谦亨信息化技术与系统(苏州)有限公司 | Intelligent traffic management method and system based on big data |
| CN113936247A (en) * | 2021-09-18 | 2022-01-14 | 北京交通大学 | Passenger flow state identification system of rail transit station based on streamline perception |
| CN113936247B (en) * | 2021-09-18 | 2023-08-01 | 北京交通大学 | Rail transit station passenger flow state identification system based on streamline perception |
| CN114283615A (en) * | 2021-12-24 | 2022-04-05 | 浙江力石科技股份有限公司 | Passenger flow early warning system and method based on traffic flows of multiple parking lots in scenic spot |
| CN116665457A (en) * | 2023-07-31 | 2023-08-29 | 新唐信通(北京)科技有限公司 | Traffic monitoring system and method based on intelligent traffic Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109801474A (en) | A kind of the Regional Risk analysis method and system of urban safety | |
| CN109191911A (en) | A kind of tunnel road conditions early warning system, method and computer readable storage medium | |
| CN107730427A (en) | A kind of scenic spot Traffic monitoring management system | |
| Chen et al. | Estimation of red-light running frequency using high-resolution traffic and signal data | |
| CN1826604A (en) | Method for incorporating individual vehicle data collection, detection and recording of traffic violations in a traffic signal controller | |
| CN106548629A (en) | Traffic violation detection method and system based on data fusion | |
| CN109166312A (en) | Automation violation detection system and method for the wheelpath based on road net data | |
| CN107622673A (en) | A kind of parking demand analysis method, system and device based on bayonet socket data | |
| Rosberg et al. | Simulated and real train driving in a lineside automatic train protection (ATP) system environment | |
| Dorokhin et al. | The dynamic traffic modelling system | |
| Gore et al. | Exploring credentials of Wi‐Fi sensors as a complementary transport data: an Indian experience | |
| Preston et al. | Simulating and assessing the effect of a protected intersection design for bicyclists on traffic operational performance and safety | |
| Wu et al. | Analysis of drivers’ stop-or-run behavior at signalized intersections with high-resolution traffic and signal event data | |
| CN105070060B (en) | A kind of urban road traffic state method of discrimination based on public transport vehicle-mounted gps data | |
| Chen | An adaptive corridor-wide signal timing optimization methodology for traffic networks with multiple highway-rail grade crossings | |
| CN107895485A (en) | A kind of highway monitoring system | |
| Bıyık et al. | Intelligent transport systems in Turkish urban environments: a comprehensive review | |
| Gamel et al. | Machine learning-based traffic management techniques for intelligent transportation system | |
| D'Andrea et al. | Incident detection by spatiotemporal analysis of GPS data | |
| Cai et al. | Can i trust you? Estimation models for e-bikers stop-go decision before amber light at urban intersection | |
| Lee et al. | A hybrid soft computing approach to link travel speed estimation | |
| Eshetu | Evaluation of introducing light rail transit into urban median street at grade crossing (A case of Addey Ababa intersection) | |
| Varaiya et al. | Freeway Data Collection, Storage, Processing, and Use | |
| US20230314148A1 (en) | Routes optimization system based on railroad and street traffic information | |
| Wootton | The operational control of motorways |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| 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: 20190524 |
|
| RJ01 | Rejection of invention patent application after publication |