CN102231231A - Area road network traffic safety situation early warning system and method thereof - Google Patents
Area road network traffic safety situation early warning system and method thereof Download PDFInfo
- Publication number
- CN102231231A CN102231231A CN2011101632819A CN201110163281A CN102231231A CN 102231231 A CN102231231 A CN 102231231A CN 2011101632819 A CN2011101632819 A CN 2011101632819A CN 201110163281 A CN201110163281 A CN 201110163281A CN 102231231 A CN102231231 A CN 102231231A
- Authority
- CN
- China
- Prior art keywords
- early warning
- situation
- traffic
- data
- assessment
- 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
Landscapes
- Traffic Control Systems (AREA)
Abstract
The invention discloses an area road network traffic safety situation early warning system and a method thereof. The system comprises monitoring equipment, a data transmission system, a data process system and an early warning system. The method comprises the following steps: acquiring data information of road traffic, meteorology, illegal behaviors, and accidents through the monitoring equipment; sending the data information through the data transmission system; carrying out a multiple heterogeneous treatment on the acquired data information through the data process system, and merging data of the same kind; analyzing and assessing early warning grade through the early warning system, and determining and publishing a early warning scheme. Thereby road network traffic safety situation information can be comprehensively grasped, and dangerous source existing in the road network can be discovered timely to determine an early warning grade and generate an intelligent early warning countermeasure. Pertinence, instantaneity and validity of a measure of a road traffic management department actively preventing traffic accidents are improved. Technology support is provided in the invention to reduce area road network traffic risk factor and prevent major and extraordinarily serious road traffic accidents.
Description
Technical field
The invention belongs to the intelligent traffic administration system field, relate to traffic accident prevention, intelligent transportation system (ITS), event management system etc., especially a kind of system and method thereof the early warning of network of highways traffic safety situation.
Background technology
According to statistics, the highway in China toll on traffic accounts for more than 73% of whole road fatalities, the above road traffic accident of once dead 3 people plays number and accounts for total more than 85% of number that rises, the ratio that the traffic accidents death toll accounts for total death toll is the trend that rises year by year in recent years, and the arterial highway net traffic safety situation of being made up of high-grade highway is very severe.Trace it to its cause, owing to grasp not comprehensively, hold inaccurate to Regional Road net traffic safety situation information, lack perfect traffic safety situation early warning service system, initiatively prevent the work measure specific aim of traffic hazard poor, abnormal emergency traffic command system imperfections such as reply disaster, burst traffic events, the configuration of traffic safety emergency resources is poor.
The early warning of the traffic safety state of highway driving just is meant whether permanent anomaly of traffic flow modes from the angle of macroscopic view, and whether the frequency of its parameter fluctuation and changes in amplitude degree be acutely unordered; Come opinion from the angle of microcosmic, then be meant driver's safety that whether feels comfortably cool when driving, vehicle acceleration and deceleration at leisure reaches driver's driving expectation.From having research and application technology both at home and abroad now, substantially come the traffic safety situation of Regional Road driving is carried out evaluation analysis and corresponding prediction from the different angles of macroscopical traffic flow operation characteristic, microcosmic driving behavior, for traffic safety situation early warning system provides rational theoretical foundation, thereby provide early warning for the motor vehicle in the way of travelling timely and effectively.
At present, though positive exploration is being done aspect the traffic safety situation early warning technology by China, but its most researchs are just at the single index of traffic safety situation or the discussion of several indexs, can not be many-sided on the whole, at many levels, the multifactor traffic safety situation general status that road network is described, and to the advanced warning grade criteria for classifying of traffic safety situation and method lack necessary objectively true according to and effective theoretical method, most subjective initiative and experiential facts that still rely on researcher come traffic safety situation advanced warning grade is divided, thereby can not be really objective, the various aspects of state of predicted link traffic safety accurately and trend.At the system aspects of traffic safety management with early warning, the theoretical basis research of its system has obtained significant progress, set up the system architecture and the physical logic structure of road safety operation management from aspects such as information acquisition, processing, application, issue, communications, and the algorithm of multifunction modules such as traffic safety situation information fusion, evaluation, prediction, decision-making is provided.But the design proposal of these system developments, inreal as yet applying to obtain check in the actual engineering, thereby the problem of its existence is still waiting further to see clearly solution, the also deeper research of need of its corresponding theory algorithm.Simultaneously, though equipped traffic monitoring management system, catastrophe weather warning system on a lot of newly-built or highways of having founded a capital, but these systems exist information resources all the time and develop the construction of obvious hysteresis hardware environment, smooth and insufficient causing of information sharing of information transmission can not synchronous transmission be issued problems such as security information, can't carry out the traffic safety early warning real-time dynamicly of round-the-clock (various weather condition), comprehensive (various control mode) to the freeway net operation security on the overall situation.
Summary of the invention
The object of the present invention is to provide a kind of Regional Road net traffic safety situation early warning system and method thereof, traffic by the collection of road pavement equipment, meteorological, illegal, the fusion of information such as incident and analysis, in time find the dangerous matter sources that network of highways exists, and judgement advanced warning grade, produce the intelligent early-warning countermeasure, improve the specific aim that highway traffic control department initiatively prevents the traffic hazard measure, real-time and validity, for reducing Regional Road net traffic hazard degree, prevent particularly serious road traffic accident that technical support is provided, for the traffic safety monitoring and the emergency command of national A-road net provides technical support and aid decision making.
For reaching above purpose, solution of the present invention is:
A kind of Regional Road net traffic safety situation early warning system comprises:
Monitoring equipment is used to gather the data message of road traffic, meteorology, illegal and incident;
Data transmission system is used for being responsible for the transmission of data message;
Data handling system is used for that the data message of gathering is carried out polynary isomery and handles, and merges homogeneous data;
Early warning system is used for the grade of analysis and evaluation early warning, determines and issue early warning scheme.
Described monitoring equipment comprises:
The microwave vehicle detecting device is used to gather the telecommunication flow information of the magnitude of traffic flow, the speed of a motor vehicle, occupation rate;
The inductive coil detecting device is used to gather the magnitude of traffic flow, speed, occupation rate, time headway, type of vehicle;
The bayonet socket supervisory system is used to discern vehicle license plate;
Illegal evidence obtaining equipment is used for traffick is tested the speed, and the vehicle that surpasses maximum speed limit is taken pictures;
Environment measuring equipment is used to monitor pavement behavior, atmospheric visibility, wind speed and direction, quantity of precipitation, temperature and humidity;
The Video Events monitor is used to gather the video pictures of road, traffic flow data is provided, and detects unscheduled event automatically.
Described bayonet socket supervisory system comprises Vehicular intelligent monitoring system and auxiliary video supervisory system, the anterior images acquired of each motor vehicle that Vehicular intelligent monitoring system monitoring road surface is passing is also carried out continuous all-weather real-time record, carries out car plate by computing machine according to captured image and discerns automatically; The auxiliary video supervisory system is built the front-end equipment of auxiliary video monitoring, is deployed in the identical point position with the front-end equipment of Vehicular intelligent monitoring system.
Described illegal evidence obtaining equipment comprises:
Detecting unit is used to detect the vehicle illegal activities that whether exceed the speed limit;
Image unit comprises CCD high-definition camera and high speed floor light unit, is used for round-the-clock shooting hypervelocity illegal vehicle;
Image acquisition units is used for capturing the record illegal vehicle, generates the evidence obtaining picture;
Communication unit is used for being responsible for carrying out communication with data handling system;
Control module is used to carry out data processing and storage transmission.
Described environment measuring equipment comprises:
Road surface sensor be used to detect the humidity on road surface, the coverage rate of freezing and water film thickness, and the precision that requires to detect water film thickness reaches 0.1 millimeter;
Visiometer is used for the atmospheric visibility of road is detected, and guarantees 10 to 2000 meters scope when visiometer is gathered highway visibility, possesses the function in identification rainy day, greasy weather, snow sky simultaneously;
Temperature Humidity Sensor is used for temperature and humidity on the measurement road;
Anemoclinograph is used to measure instantaneous wind speed wind direction and mean wind speed wind direction.
Described early warning system comprises:
Current situation early warning module is used for comprehensive situation assessment early warning, weather situation assessment early warning, traffic offence situation assessment early warning, the assessment early warning of vehicle ratio situation and flow sudden change situation assessment early warning;
Accident situation early warning module is used for burst accident assessment early warning, traffic control assessment early warning, road construction assessment early warning and inclement weather assessment early warning;
Collaborative early warning control module is used to handle collaborative request, requesting cooperative of receiving and the requesting cooperative that has sent;
Historical analysis early warning module is used for the potential safety hazard analysis, highway section analysis, dangerous point piecewise analysis, accident statistical analysis and accident situation analysis and early warning block up;
The early warning module is used for adverse weather early warning and magnitude of traffic flow early warning;
Data management module is used for assessment models management, the management of early warning countermeasure, dynamic data management, assessment data are safeguarded and the early warning data maintenance.
A kind of Regional Road net traffic safety situation method for early warning comprises:
Gather the data message of road traffic, meteorology, illegal and incident;
The data message that transmission is gathered;
The data message of gathering is carried out polynary isomery handle, merge homogeneous data;
The grade of analysis and evaluation early warning is determined and issue early warning scheme.
The data message of described collection comprises:
The telecommunication flow information of the magnitude of traffic flow of gathering by the microwave vehicle detecting device, the speed of a motor vehicle, occupation rate;
The magnitude of traffic flow, speed, occupation rate, time headway, type of vehicle by the collection of inductive coil detecting device;
Vehicle license plate by the identification of bayonet socket supervisory system;
Traffick is tested the speed the vehicle that the surpasses maximum speed limit collection unlawful data of taking pictures by illegal evidence obtaining equipment;
Gather weather information by environment measuring monitoring of equipment pavement behavior, atmospheric visibility, wind speed and direction, quantity of precipitation, temperature and humidity;
Video pictures by Video Events monitor collection road provides traffic flow data, and detects unscheduled event automatically.
Described identification vehicle license is by the anterior images acquired of each passing motor vehicle of monitoring road surface and carries out continuous all-weather real-time record, carries out car plate by computing machine according to captured image and discern automatically.
The unlawful data of described collection comprises:
Detect the vehicle illegal activities that whether exceed the speed limit by detecting unit;
By the round-the-clock shooting hypervelocity of image unit illegal vehicle;
Capture the record illegal vehicle by image acquisition units, generate the evidence obtaining picture;
Be responsible for carrying out communication by communication unit with data handling system;
Carry out data processing and storage transmission by control module.
The weather information of described collection comprises:
Detect the humidity on road surface, the coverage rate of freezing and water film thickness by road surface sensor;
Detect by the atmospheric visibility of visiometer, and in 10 to 2000 meters scope, discern rainy day, greasy weather, snow sky road;
By temperature on the Temperature Humidity Sensor measurement road and humidity;
Measure instantaneous wind speed wind direction and mean wind speed wind direction by anemoclinograph.
Described analysis and evaluation early warning comprises:
By current situation early warning module comprehensive situation assessment early warning, weather situation assessment early warning, traffic offence situation assessment early warning, vehicle ratio situation are assessed early warning and flow sudden change situation assessment early warning;
By accident situation early warning module burst accident is assessed early warning, traffic control assessment early warning, road construction assessment early warning and inclement weather assessment early warning;
Collaborative request, requesting cooperative of receiving by collaborative early warning control resume module and the requesting cooperative that has sent;
By historical analysis early warning module to the potential safety hazard analysis, highway section analysis, dangerous point piecewise analysis, accident statistical analysis and accident situation analysis and early warning block up;
By the early warning module to adverse weather early warning and magnitude of traffic flow early warning;
By data management module assessment models management, the management of early warning countermeasure, dynamic data management, assessment data are safeguarded and the early warning data maintenance.
The present invention is by all kinds of checkout equipments in the online installation of Regional Road, realization is to the real-time collection of traffic such as road network telecommunication flow information, weather environment information, road equipment monitoring information, traffic offence information, traffic accident information and environmental information, with these information stores at the mass traffic information lane database.
Based on multi-source heterogeneous data fusion technology, respectively the traffic safety situation warning index system of each administrative unit of Regional Road net is carried out parametric degree and application layer fusion treatment, form traffic safety situation early warning grade scale, realize traffic safety situation under the integrated condition of people-Che-Lu-environment is carried out the real-time judgement of early warning kind and grade thereof.
According to early warning kind and grade, aspect demands such as responsibilities, operation flow, operating mode, safeguard have been taken all factors into consideration, set up the expert knowledge library of contents such as collection traffic management and control, police strength scheduling, classification commander, department's interlock, generate automatically trans-regional, stride road network, interdepartmental by different level, branch highway section, graduate collaborative interlock forewarning management countermeasure.
According to Regional Road net traffic safety situation early warning result, traffic safety management countermeasure under the various dangerous situation index combination conditions is proposed, study applicability, the validity of various traffic hazard situation countermeasures, set up the network of highways traffic hazard situation countermeasure technology expert knowledge library of different modes, different effectiveness, different purposes.
Research network of highways traffic hazard situation countermeasure emulation technology, formulate early warning decision evaluation methods such as Regional Road net traffic management and control, police strength scheduling, classification commander and department's interlock, the complex optimum technology such as tactful enforcement time, scope, content that provide alert, for reduce Regional Road net traffic hazard degree, the particularly serious road traffic accident of prevention provides technical support.
Owing to adopted such scheme, the present invention has following characteristics: according to early warning kind and grade, aspect demands such as responsibilities, operation flow, operating mode, safeguard have been taken all factors into consideration, set up the expert knowledge library of contents such as collection traffic management and control, police strength scheduling, classification commander, department's interlock, generate automatically trans-regional, stride road network, interdepartmental by different level, branch highway section, graduate collaborative interlock forewarning management countermeasure.Regional Road net traffic safety situation early warning system can be grasped network of highways traffic safety situation information comprehensively, in time find the dangerous matter sources that network of highways exists, and judgement advanced warning grade, produce the intelligent early-warning countermeasure, improve specific aim, real-time and validity that highway traffic control department initiatively prevents the traffic hazard measure, for reduce Regional Road net traffic hazard degree, the particularly serious road traffic accident of prevention provides technical support, for the traffic safety monitoring and the emergency command of national A-road net provides technical support and aid decision making.
Description of drawings
Fig. 1 is the logical architecture figure of Regional Road net traffic safety situation early warning system.
Fig. 2 is the implementing procedure of traffic safety situation method for early warning.
Embodiment
The present invention is further illustrated below in conjunction with the accompanying drawing illustrated embodiment.
The logical architecture figure of Regional Road net traffic safety situation early warning system as shown in Figure 1, the implementing procedure of traffic safety situation method for early warning shown in Figure 2 the present invention includes:
1, monitoring equipment part
Front end road surface collecting device mainly comprises: microwave vehicle detecting device, inductive coil detecting device, bayonet socket supervisory system, illegal evidence obtaining equipment, weather detector and Video Events detecting device, and for the early warning of Regional Road net traffic safety situation provides the detection Data Source.
(1) microwave vehicle detecting device
Microwave vehicle detecting device (RTMS) is widely used in the traffic information collection of highway and urban road, can gather the telecommunication flow information of flow, the speed of a motor vehicle, occupation rate.When being used for the freeway traffic information acquisition, can adopt the roadside to install or forward installation dual mode.The microwave vehicle detecting device is launched continuous low-power modulated microwave in sector region, stay next strip view field on highway.The echo that microwave detector returns by evaluating objects can be calculated the transport information of target, and sends data by RS232 to control center.The microwave vehicle detecting device is supposed a fixing vehicle commander when obtaining the speed of a motor vehicle, calculate the speed of a motor vehicle by the arrival of vehicle in the induction view field with process.
The microwave vehicle detecting device is when measuring the big highway section of multilane, cart ratio height, the magnitude of traffic flow, and accuracy such as can be blocked at factor affecting, the radar sensor of the same kind that accuracy is installed not as forward.
(2) inductive coil detecting device
The inductive coil detecting device is present the most widely used traffic detecting device, and available transport information parameter comprises: the magnitude of traffic flow, speed, occupation rate, time headway, type of vehicle.When automobile crosses the inductive coil detecting device, the eddy current that the induction of metal vehicle generates makes the inductance value of coil change, electronic component is confirmed the appearance of vehicle by the variation of count pulse quantity decision circuitry oscillation frequency or is passed through, thereby calculates traffic parameter.
(3) bayonet socket supervisory system
Highway bayonet socket supervisory system Vehicular intelligent monitoring record part, auxiliary video monitor portion is by road formed.Wherein, the road vehicle intelligent monitoring and recording part is made up of front-end equipment, main process equipment and rear end management equipment, mainly be to utilize technology such as advanced photoelectricity, computing machine, Flame Image Process, pattern-recognition, remote data access, to the anterior images acquired of passing each motor vehicle in monitoring road surface and carry out continuous all-weather real-time record, carry out car plate by computing machine according to captured image and discern automatically; The auxiliary video monitor portion is mainly built the auxiliary video monitoring frontend, is deployed in the identical point position with road vehicle intelligent monitoring and recording part front-end equipment, inserts video monitoring system by the video private network.
(4) illegal evidence obtaining equipment
In responsive highway section and important node traffick is tested the speed, the vehicle that surpasses maximum speed limit is taken pictures, and sends in the centre management software during with information of same such as time, place, speed, pictures.System mainly is made up of detecting unit, image unit, image acquisition units, control module, communication unit, Control Software etc.Detecting unit is used for detecting the vehicle illegal activities that whether exceed the speed limit, and uses detections of radar equipment more.Image unit uses the CCD high-definition camera to add high speed floor light unit to form, and is used for round-the-clock shooting hypervelocity illegal vehicle.Image acquisition units is used for capturing the record illegal vehicle, generates the evidence obtaining picture.Communication unit is responsible for carrying out communication with remote center.Control module is used for carrying out data processing and storage transmission, and Control Software is used for controlling and the management front end system.This system's major function has: measuring speed and taking snap pictures, illegal picture generate automatically, number plate identification, data storage and transmission, light self-adaptation and equipment control etc.
(5) various meteorological checkout equipments
1) road surface sensor
Road surface sensor is made up of a plurality of sensor assemblies, judges situations such as road surface water film thickness by activation polarization and the conductivity of measuring ground surface material.Road surface sensor can be realized the forecast and the estimation of the icing coverage rate of road pavement by new measuring principle and measurement of concetration.Require road surface sensor can detect the humidity on road surface, the coverage rate of freezing on the highway, situations such as water film thickness, and require the precision of water film thickness to reach 0.1 millimeter.
2) visiometer
Visiometer detects the atmospheric visibility of road, thereby provides data necessary for traffic safety situation assessment and early warning.The ingredient of visiometer has: stable infrared emission light source, infrared astigmatic receiver, signals collecting and processor, well heater, controller etc.Its principle of work is: have funtcional relationship between meteorological optical range MOR and the extinction coefficient σ.Therefore, by measuring the value of σ, the conversion through normalized form can obtain the MOR value again.According to the greasy weather turnpike driving administrative provisions of the Ministry of Public Security, visiometer should guarantee 10 to 2000 meters scope when gathering highway visibility, possesses the function in identification rainy day, greasy weather, snow sky simultaneously.
3) Temperature Humidity Sensor
Temperature Humidity Sensor can not be provided with separately usually, generally is disposed in the automatic weather station, is used for temperature and humidity on the measurement road.
4) anemoclinograph
Anemoclinograph can be measured instantaneous wind speed wind direction and mean wind speed wind direction.The ingredient of anemoclinograph has: air velocity transducer, wind transducer, weather data Acquisition Instrument, meteorological software.
5) highway automatic weather station
Automatic weather station is the aggregate of the multiple meteorological sensor of robotization, is used to install above-mentioned each weather monitoring equipment, can detect multiple meteorologic parameters such as visibility, wind speed and direction, quantity of precipitation, temperature, humidity in real time.Automatic weather station can add sensor as required voluntarily to satisfy different needs, and major part is visiometer and road surface sensor.
(6) Video Events monitor
The Video Events detector applies is in tunnel and highway special joint, and it detects the function of unscheduled event in addition automatically except traffic flow data can be provided, as collision, parking, smog, pedestrian, retrograde, the unexpected speed change of the diffusing thing of something lost etc.Detect fast and accurately and can significantly reduce the injures and deaths that accident causes, can improve greatly also that relevant department deals with and the ability of processing accident, really accomplish and improve the effect of intelligent management.Simultaneously, based on video traffic stream detection technique, the Video Events monitor can also provide the traffic flow parameter data.
2, data processing module
The data that front end Traffic monitoring equipment collects are carried out polynary isomery processing, merge the homogeneous data that plurality of devices is gathered, thereby formed the database table of five big classes: traffic flow data table, traffic offence tables of data, weather data table, event information data table and accident detailed data table, for early warning provides Data Source.
(1) traffic flow data table STAT_FLOW
(2) traffic offence tables of data (NLV_VIOLATION)
(3) weather information view COM_WEATHER_INFO
(4) incident integrated information table COM_EVENT
This information provides artificial collection input function module.
(5) the detailed view ACD_ACCIDENT of accident
3, advanced warning grade appraisal procedure
(1) inclement weather situation early warning
1) mist
As the traffic safety situation criteria for classifying under the foggy environment, see Table 1 with the visibility index.
Traffic safety situation grade table under table 1 foggy environment
| Grade | The order of severity | The weather title | Visibility (rice) |
| The IV level | Blue (generally) | Mist | (200，500] |
| The III level | Yellow (heavier) | Dense fog | (100，200] |
| The II level | Orange (seriously) | Thick fog | (50，100] |
| The I level | Red (extra heavy) | Strong thick fog | (0，50] |
2) rain
As the traffic safety situation criteria for classifying under the rainy day environment, see Table 2 with quantity of precipitation or visibility index.
Traffic safety situation grade table under the table 2 rainy day environment
| Grade | The order of severity | The weather title | Quantity of precipitation (millimeter/sky) | Visibility (rice) |
| The IV level | Blue (generally) | Heavy rain | 25～49.9 | (200，500] |
| The III level | Yellow (heavier) | Heavy rain | 50～99.9 | (100，200] |
| The II level | Orange (seriously) | Torrential rain | 100～200 | (50，100] |
| The I level | Red (extra heavy) | Extra torrential rain | ＞200 | (0，50] |
3) wind
As the traffic safety situation criteria for classifying under the wind environment, see Table 3 with wind scale or wind speed index.
Traffic safety situation grade table under table 3 wind environment
| Grade | The order of severity | The weather title | Wind scale (m/s) | Wind speed (m/s) |
| The IV level | Blue (generally) | Strong wind | 7～8 | 13.9～20.7 |
| The III level | Yellow (heavier) | Blast | 9～10 | 20.8～28.4 |
| The II level | Orange (seriously) | Storm wind | 11 | 28.5～32.6 |
| The I level | Red (extra heavy) | Hurricane | ≥12 | ＞32.7 |
4) freezing
As the traffic safety situation criteria for classifying under the freezing environment, see Table 4 with temperature or icing area occupation ratio index.
Traffic safety situation grade table under the freezing environment of table 4
| Grade | The order of severity | Temperature | Area occupation ratio (%) freezes |
| The IV level | Blue (generally) | Suddenly reduce to about-0 ℃ | (0，10] |
| The III level | Yellow (heavier) | Suddenly reduce to about-5 ℃ | (10，20] |
| The II level | Orange (seriously) | Suddenly reduce to about-10 ℃ | (20，30] |
| The I level | Red (extra heavy) | Suddenly reduce to below-15 ℃ | (30，1] |
5) snow
As the traffic safety situation criteria for classifying under the snow day environment, see Table 5 with quantity of precipitation or visibility or accumulated snow thickness.
Traffic safety situation grade table under the table 5 snow day environment
| Grade | The order of severity | The weather title | Snowfall (millimeter/sky) | Visibility (rice) | Accumulated snow thickness (centimetre) |
| The IV level | Blue (generally) | Slight snow | 0.1～2.4 | (200，500] | (0，3] |
| The III level | Yellow (heavier) | Moderate snow | 2.5～4.9 | (100，200] | (3，5] |
| The II level | Orange (seriously) | Heavy snow | 5.0～9.9 | (50，100] | (5，8] |
| The I level | Red (extra heavy) | Severe snow | ＞10 | (0，50] | (8，+∞) |
(2) traffic flow situation early warning
1) saturation degree
As the traffic safety situation criteria for classifying under the different saturation, see Table 6 with the saturation degree index.
Traffic safety situation grade standard scale under table 6 different saturation
| Grade | The order of severity | The highway saturation degree | State's provincial highway saturation degree |
| The IV level | Blue (generally) | (0.6，0.74] | (0.53，065] |
| The III level | Yellow (heavier) | (0.74，0.88] | (0.65，0.80] |
| The II level | Orange (seriously) | (0.88，1) | (0.80，1) |
| The I level | Red (extra heavy) | ≥1 | ≥1 |
2) flow sudden change
As the traffic safety situation criteria for classifying under the Different Traffic Flows amount, see Table 7 with flow sudden change value.
Traffic safety situation grade standard scale under the table 7 Different Traffic Flows amount
3) cart ratio
Constitute the situation criteria for classifying with the cart ratio value as road vehicles, see Table 8.
Table 8 cart ratio situation grade standard scale
| Grade | The order of severity | Cart ratio value (%) |
| The IV level | Blue (generally) | (20，35] |
| The III level | Yellow (heavier) | (35，50] |
| The II level | Orange (seriously) | (50，65] |
| The I level | Red (extra heavy) | (65，100] |
(3) traffic events
As the traffic safety situation grade criteria for classifying, see Table 9 with traffic events closed position and event type.
The traffic safety situation grade standard scale of table 9 traffic events
(4) traffic offence behavior
As the traffic safety situation criteria for classifying, see Table 10 with the traffic offence behavior amount of increasing by on a year-on-year basis that produces.
The traffic safety situation grade standard scale of table 10 traffic offence behavior
| Grade | The traffic offence behavior amount of increasing by on a year-on-year basis |
| The IV level | (0.5，1] |
| The III level | (1，1.5] |
| The II level | (1.5，2] |
| The I level | (2，+∞) |
(5) comprehensive assessment
Traffic congestion degree, duration and coverage are carried out the assessment of traffic safety situation.
1) degree of blocking up
According to GA115 " urban road traffic congestion assessment indicator system ", as the traffic safety situation grade criteria for classifying, see Table 11 with the traffic congestion index.
Traffic safety situation grade table under table 11 traffic congestion
2) block up the duration
As the traffic safety situation grade criteria for classifying, see Table 12 with traffic congestion duration length.
Table 12 continues the traffic safety situation grade table under the traffic congestion
| Grade | The traffic congestion duration (unit: hour) |
| The I level | [24，+∞) |
| The II level | [12，24) |
| The III level | [8，12) |
| The IV level | (0，8) |
3) coverage of blocking up
As the traffic safety situation grade criteria for classifying, see Table 13 with the traffic congestion coverage.
Traffic safety situation grade table under the different traffic congestion coverages of table 13
| Grade | Coverage |
| The I level | Cause vehicle to be detained to have a strong impact on adjacent (autonomous region, the municipality directly under the Central Government) highway of economizing more than 3 current |
| The II level | Cause vehicle to be detained to relate to adjacent 2 provinces (autonomous region, municipality directly under the Central Government) highway current |
| The III level | Cause the vehicle retention effects economize in (autonomous region, municipality directly under the Central Government) adjacent more than 3 the districts under city administration highway current |
| The IV level | Cause vehicle retention effects province (autonomous region, municipality directly under the Central Government) interior 2 local highways of following districts and cities to pass through |
4, early warning module
Regional Road net traffic safety situation early warning system comprises current situation early warning, the early warning of accident situation, collaborative early warning control, historical analysis early warning, early warning and data management six big modules.
(1) current situation assessment early warning
Current situation assessment early warning module comprises comprehensive situation assessment early warning, weather situation assessment early warning, traffic offence situation assessment early warning, the assessment early warning of vehicle ratio situation and flow sudden change situation assessment early warning:
1) comprehensive situation assessment early warning
The user can see real-time comprehensive situation evaluation graph in the page of Regional Road net traffic safety situation early warning system software interface.Comprehensive situation is the comprehensive assessment at all situation, and the situation that comprises comprises: weather situation, traffic offence situation, traffic flow situation.The grade of comprehensive various situation provides evaluation grade, one-level situation: redness, and secondary situation: orange, three grades of situation: yellow, level Four situation: blueness.
In integrated situational awareness picture, click concrete assessment highway section, will eject the comprehensive situation assessment early warning page.The assessment result, reason and this highway section early warning result that in the page, show this highway section.Will presented event among the highway section early warning result duration of influence, impact prediction after 10 minutes, 30 minutes, 1 hour, and provide situation map after 30 minutes, 1 hour, 2 hours.
At the situation assessment early warning page, click " early warning countermeasure ", will show the highway section early warning countermeasure page.To show " group's level early warning countermeasure " in this page, " detachment's level early warning countermeasure ", " army unit's level early warning countermeasure ", " ministerial level early warning countermeasure ".Will provide " early warning countermeasure " in the early warning countermeasure, " measure of control " etc.At this early warning countermeasure, can carry out following three kinds of operations:
1. carry out immediately.After clicking " carrying out immediately ", will show and carry out the page immediately that this early warning countermeasure will be issued immediately;
2. customization is carried out.After clicking " customization is carried out ", displaying format customization is carried out the page, this early warning countermeasure will be issued according to the time of appointment;
3. requesting cooperative.After clicking " requesting cooperative ", will show the requesting cooperative page, requesting cooperative is to need contiguous detachment to work in coordination with early warning.In the page, select adjacent detachment, fill in description, the early warning measure of current state, after the click " transmission ", this request can send to adjacent detachment.After treating that this requesting cooperative and affirmation are received by adjacent detachment, this early warning measure meeting is issued.
2) weather situation assessment early warning
The user can see real-time weather situation evaluation graph in the page of Regional Road net traffic safety situation early warning system software interface.One-level situation: redness, secondary situation: orange, three grades of situation: yellow, level Four situation: blueness.To the processing of weather situation assessment early warning, with comprehensive situation assessment early warning.
3) traffic offence situation assessment early warning
The user can see real-time traffic offence situation evaluation graph in the page of Regional Road net traffic safety situation early warning system software interface.One-level situation: redness, secondary situation: orange, three grades of situation: yellow, level Four situation: blueness.To the processing of traffic offence situation assessment early warning, with comprehensive situation assessment early warning.
4) vehicle ratio situation assessment early warning
The user can see real-time vehicle ratio situation evaluation graph in the page of Regional Road net traffic safety situation early warning system software interface.One-level situation: redness, secondary situation: orange, three grades of situation: yellow, level Four situation: blueness.To the processing of vehicle ratio situation assessment early warning, with comprehensive situation assessment early warning.
5) flow sudden change situation assessment early warning
The user can see real-time flow sudden change situation evaluation graph in the page of Regional Road net traffic safety situation early warning system software interface.One-level situation: redness, secondary situation: orange, three grades of situation: yellow, level Four situation: blueness.To the processing of flow cataclysmic metamorphosis gesture assessment early warning, with comprehensive situation assessment early warning.
(2) accident assessment early warning
Accident assessment early warning module comprises burst accident assessment early warning, traffic control assessment early warning, road construction assessment early warning and inclement weather assessment early warning:
1) burst accident assessment early warning
The user can be in the page typing burst accident information of Regional Road net traffic safety situation early warning system software interface, and system will issue this information.The typing item comprises: road name, accident spot, road direction, influence degree, start time, concluding time, incident classification.Click " determining " and submit this information to.
2) traffic control assessment early warning
The user can be at the page typing control traffic message of Regional Road net traffic safety situation early warning system software interface, and system will issue this information.The typing item comprises: road name, control section (start-stop pile No.), road direction, influence degree, start time, concluding time, control grade.Click " determining " and submit this information to.
3) road construction assessment early warning
The user can be in the page typing road construction information of Regional Road net traffic safety situation early warning system software interface, and system will issue this information.The typing item comprises: road name, construction section (start-stop pile No.), road direction, influence degree, start time, concluding time, construction-grade.Click " determining " and submit this information to.
4) inclement weather assessment early warning
The user can be in the page typing inclement weather information of Regional Road net traffic safety situation early warning system software interface, and system will issue this information.The typing item comprises: road name, highway section, weather pattern, duration, can select corresponding situation grade according to weather pattern in weather pattern.Click " determining " and submit this information to.
(3) collaborative early warning control
Collaborative early warning control module comprises collaborative request, requesting cooperative of receiving and the requesting cooperative that has sent:
The collaborative request of 1) receiving
Will show the collaborative request that contiguous detachment sends in the page of Regional Road net traffic safety situation early warning system software interface.Select a concrete collaborative request, after the click " affirmation ", this state will feed back to contiguous detachment.After all detachments of this collaborative request all confirmed, this information will be published.
2) requesting cooperative
Requesting cooperative is to need contiguous detachment to work in coordination with early warning.In the page of Regional Road net traffic safety situation early warning system software interface, select adjacent detachment, fill in description, the early warning measure of current state, after the click " transmission ", this request can send to adjacent detachment.After treating that this requesting cooperative and affirmation are received by adjacent detachment, this early warning measure meeting is issued.
3) requesting cooperative that has sent
The requesting cooperative that has sent will be shown in the page of Regional Road net traffic safety situation early warning system software interface, the state of each requesting cooperative can be checked.
(4) historical analysis assessment
The historical analysis evaluation module comprises potential safety hazard analysis (illegal), the analyses of (flow), dangerous point piecewise analysis (accident point), accident statistical analysis and accident situation are analyzed in the highway section that blocks up:
1) potential safety hazard analysis (illegal)
This page of Regional Road net traffic safety situation early warning system software interface mainly is to add up with illegal incidents.Querying condition comprises: road name, initial pile No., terminal point pile No., direction, time, click " inquiry " and will show non-at-scene illegal all day distribution plans, on-the-spot illegal all day distribution plans.This figure horizontal ordinate is that Zhou Tian, ordinate are illegal number of times.
2) potential safety hazard analysis (flow)
This page of Regional Road net traffic safety situation early warning system software interface mainly is that flow is added up.Querying condition comprises: road name, initial pile No., terminal point pile No., query time section, and click " inquiry " and will show flow situation distribution plan.This figure horizontal ordinate is that 24 hours, ordinate are flows.
3) dangerous point piecewise analysis (accident point)
This page of Regional Road net traffic safety situation early warning system software interface mainly is that the accident point section is added up, and lists which some section accident number of times height.Querying condition comprises: road name, initial pile No., terminal point pile No., query time section, clicking " inquiry " will multiple stain pile No. tabulation of demonstration accident and accident spatial distribution map.
4) accident statistical analysis
This page of Regional Road net traffic safety situation early warning system software interface mainly is that traffic hazard was added up according to the moon.Querying condition comprises: road name, initial pile No., terminal point pile No., time, select " accident month Butut ", and clicking " inquiry " will demonstration accident month Butut.
Accident statistical analysis-accident spot distribution plan, this page mainly are that traffic hazard is added up according to the place.Querying condition comprises: road name, initial pile No., terminal point pile No., time, select " accident spot distribution plan ", and click " inquiry " and will show the accident spot distribution plan.
Accident statistical analysis-accident profile of flowrate, this page mainly are that traffic hazard is added up according to the accident flow in highway section.Querying condition comprises: road name, initial pile No., terminal point pile No., time, select " accident profile of flowrate ", and clicking " inquiry " will demonstration accident profile of flowrate.
Accident statistical analysis-hundred million truck kilometer accident is counted distribution plan, and this page mainly is that traffic hazard is added up according to hundred million truck kilometers in highway section.Querying condition comprises: road name, initial pile No., terminal point pile No., time, select " hundred million truck kilometer accidents are counted distribution plan ", and click " inquiry " and will show that hundred million truck kilometer accidents count distribution plan.
5) accident situation analyze-on year-on-year basis and chain rate
This page of Regional Road net traffic safety situation early warning system software interface mainly is that the rising tendency of traffic hazard is added up, and situation is advised to accidents happened.Querying condition comprises: road name, initial pile No., terminal point pile No., direction, measurement period (year, month), and select statistical on year-on-year basis, click " inquiry " and will demonstration accident situation analyze-tabulation on year-on-year basis.Be on year-on-year basis this month the accident number and this month of last year the accident number rate of increase.
Accident situation analysis-chain rate, this page mainly are that the rising tendency of traffic hazard is added up, and situation is advised to accidents happened.Querying condition comprises: road name, initial pile No., terminal point pile No., direction, measurement period (year, month), and the selection statistical is a chain rate, clicking " inquiry " will the tabulation of demonstration accident situation analysis-chain rate.Chain rate be this month the accident number and last month the accident number rate of increase.
(5) early warning
The early warning module comprises adverse weather early warning and magnitude of traffic flow early warning:
The adverse weather early warning is that three days from now on weather situation is predicted.Can observe three days from now on adverse weather situation information of forecasting easily according to the GIS figure that shows.Magnitude of traffic flow early warning is that three days the magnitude of traffic flow is from now on predicted.Can observe three days from now on magnitude of traffic flow situation information of forecasting easily according to the GIS figure that shows.
(6) data management
Data management module comprises assessment models management, the management of early warning countermeasure, dynamic data management, assessment data maintenance and early warning data maintenance:
1) assessment models management
Assessment models management increasing, delete, change, looking into to assessment models.Assessment models comprises: weather situation assessment models, traffic flow assessment models.The assessment models management is only open to be operated to the system manager.
2) early warning countermeasure management
Early warning countermeasure management increasing, delete, change, looking into to different situation classifications, other early warning countermeasure of situation level.The management of early warning countermeasure comprises: the early warning countermeasure is safeguarded, historical accident situation countermeasure is safeguarded.The management of early warning countermeasure is only open to be operated to the system manager.
3) dynamic data management
Dynamic data management is inquiry, the export function to situation assessment source data.Dynamic data management is only open operates to the system manager.
4) assessment data is safeguarded
The assessment data maintenance is inquiry, the export function to the situation assessment data after the assessment.Assessment data is safeguarded only to open and is operated to the system manager.
5) early warning data maintenance
The early warning data maintenance is inquiry, the export function to the assessment of the situation after assessment early warning data.The early warning data maintenance is only open to be operated to the system manager.
The present invention is by all kinds of checkout equipments in the online installation of Regional Road, realization is to the real-time collection of traffic such as road network telecommunication flow information, weather environment information, road equipment monitoring information, traffic offence information, traffic accident information and environmental information, these information stores at the mass traffic information lane database, are carried out the real-time judgement of early warning kind and grade thereof to traffic safety situation under the integrated condition of people-Che-Lu-environment.According to early warning kind and grade, aspect demands such as responsibilities, operation flow, operating mode, safeguard have been taken all factors into consideration, set up the expert knowledge library of contents such as collection traffic management and control, police strength scheduling, classification commander, department's interlock, generate automatically trans-regional, stride road network, interdepartmental by different level, branch highway section, graduate collaborative interlock forewarning management countermeasure.Regional Road net traffic safety situation early warning system can be grasped network of highways traffic safety situation information comprehensively, in time find the dangerous matter sources that network of highways exists, and judgement advanced warning grade, produce the intelligent early-warning countermeasure, improve specific aim, real-time and validity that highway traffic control department initiatively prevents the traffic hazard measure, for reduce Regional Road net traffic hazard degree, the particularly serious road traffic accident of prevention provides technical support, for the traffic safety monitoring and the emergency command of national A-road net provides technical support and aid decision making.
The above-mentioned description to embodiment is can understand and apply the invention for ease of those skilled in the art.The person skilled in the art obviously can easily make various modifications to these embodiment, and needn't pass through performing creative labour being applied in the General Principle of this explanation among other embodiment.Therefore, the invention is not restricted to the embodiment here, those skilled in the art are according to announcement of the present invention, and not breaking away from the improvement that category of the present invention makes and revise all should be within protection scope of the present invention.
Claims (12)
1. Regional Road net traffic safety situation early warning system is characterized in that: comprising:
Monitoring equipment is used to gather the data message of road traffic, meteorology, illegal and incident;
Data transmission system is used for being responsible for the transmission of data message;
Data handling system is used for that the data message of gathering is carried out polynary isomery and handles, and merges homogeneous data;
Early warning system is used for the grade of analysis and evaluation early warning, determines and issue early warning scheme.
2. Regional Road net traffic safety situation early warning system as claimed in claim 1, it is characterized in that: described monitoring equipment comprises:
The microwave vehicle detecting device is used to gather the telecommunication flow information of the magnitude of traffic flow, the speed of a motor vehicle, occupation rate;
The inductive coil detecting device is used to gather the magnitude of traffic flow, speed, occupation rate, time headway, type of vehicle;
The bayonet socket supervisory system is used to discern vehicle license plate;
Illegal evidence obtaining equipment is used for traffick is tested the speed, and the vehicle that surpasses maximum speed limit is taken pictures;
Environment measuring equipment is used to monitor pavement behavior, atmospheric visibility, wind speed and direction, quantity of precipitation, temperature and humidity;
The Video Events monitor is used to gather the video pictures of road, traffic flow data is provided, and detects unscheduled event automatically.
3. Regional Road net traffic safety situation early warning system as claimed in claim 1, it is characterized in that: described bayonet socket supervisory system, comprise Vehicular intelligent monitoring system and auxiliary video supervisory system, the anterior images acquired of each motor vehicle that Vehicular intelligent monitoring system monitoring road surface is passing is also carried out continuous all-weather real-time record, carries out car plate by computing machine according to captured image and discerns automatically; The auxiliary video supervisory system is built the front-end equipment of auxiliary video monitoring, is deployed in the identical point position with the front-end equipment of Vehicular intelligent monitoring system.
4. Regional Road net traffic safety situation early warning system as claimed in claim 1, it is characterized in that: described illegal evidence obtaining equipment comprises:
Detecting unit is used to detect the vehicle illegal activities that whether exceed the speed limit;
Image unit comprises CCD high-definition camera and high speed floor light unit, is used for round-the-clock shooting hypervelocity illegal vehicle;
Image acquisition units is used for capturing the record illegal vehicle, generates the evidence obtaining picture;
Communication unit is used for being responsible for carrying out communication with data handling system;
Control module is used to carry out data processing and storage transmission.
5. Regional Road net traffic safety situation early warning system as claimed in claim 1, it is characterized in that: described environment measuring equipment comprises:
Road surface sensor be used to detect the humidity on road surface, the coverage rate of freezing and water film thickness, and the precision that requires to detect water film thickness reaches 0.1 millimeter;
Visiometer is used for the atmospheric visibility of road is detected, and guarantees 10 to 2000 meters scope when visiometer is gathered highway visibility, possesses the function in identification rainy day, greasy weather, snow sky simultaneously;
Temperature Humidity Sensor is used for temperature and humidity on the measurement road;
Anemoclinograph is used to measure instantaneous wind speed wind direction and mean wind speed wind direction.
6. Regional Road net traffic safety situation early warning system as claimed in claim 1, it is characterized in that: described early warning system comprises:
Current situation early warning module is used for comprehensive situation assessment early warning, weather situation assessment early warning, traffic offence situation assessment early warning, the assessment early warning of vehicle ratio situation and flow sudden change situation assessment early warning;
Accident situation early warning module is used for burst accident assessment early warning, traffic control assessment early warning, road construction assessment early warning and inclement weather assessment early warning;
Collaborative early warning control module is used to handle collaborative request, requesting cooperative of receiving and the requesting cooperative that has sent;
Historical analysis early warning module is used for the potential safety hazard analysis, highway section analysis, dangerous point piecewise analysis, accident statistical analysis and accident situation analysis and early warning block up;
The early warning module is used for adverse weather early warning and magnitude of traffic flow early warning;
Data management module is used for assessment models management, the management of early warning countermeasure, dynamic data management, assessment data are safeguarded and the early warning data maintenance.
7. Regional Road net traffic safety situation method for early warning is characterized in that: comprising:
Gather the data message of road traffic, meteorology, illegal and incident;
The data message that transmission is gathered;
The data message of gathering is carried out polynary isomery handle, merge homogeneous data;
The grade of analysis and evaluation early warning is determined and issue early warning scheme.
8. Regional Road net traffic safety situation method for early warning as claimed in claim 7, it is characterized in that: the data message of described collection comprises:
The telecommunication flow information of the magnitude of traffic flow of gathering by the microwave vehicle detecting device, the speed of a motor vehicle, occupation rate;
The magnitude of traffic flow, speed, occupation rate, time headway, type of vehicle by the collection of inductive coil detecting device;
Vehicle license plate by the identification of bayonet socket supervisory system;
Traffick is tested the speed the vehicle that the surpasses maximum speed limit collection unlawful data of taking pictures by illegal evidence obtaining equipment;
Gather weather information by environment measuring monitoring of equipment pavement behavior, atmospheric visibility, wind speed and direction, quantity of precipitation, temperature and humidity;
Video pictures by Video Events monitor collection road provides traffic flow data, and detects unscheduled event automatically.
9. Regional Road net traffic safety situation method for early warning as claimed in claim 7, it is characterized in that: described identification vehicle license is by the anterior images acquired of each passing motor vehicle of monitoring road surface and carries out continuous all-weather real-time record, carries out car plate by computing machine according to captured image and discern automatically.
10. Regional Road net traffic safety situation method for early warning as claimed in claim 7, it is characterized in that: the unlawful data of described collection comprises:
Detect the vehicle illegal activities that whether exceed the speed limit by detecting unit;
By the round-the-clock shooting hypervelocity of image unit illegal vehicle;
Capture the record illegal vehicle by image acquisition units, generate the evidence obtaining picture;
Be responsible for carrying out communication by communication unit with data handling system;
Carry out data processing and storage transmission by control module.
11. Regional Road net traffic safety situation method for early warning as claimed in claim 7, it is characterized in that: the weather information of described collection comprises:
Detect the humidity on road surface, the coverage rate of freezing and water film thickness by road surface sensor;
Detect by the atmospheric visibility of visiometer, and in 10 to 2000 meters scope, discern rainy day, greasy weather, snow sky road;
By temperature on the Temperature Humidity Sensor measurement road and humidity;
Measure instantaneous wind speed wind direction and mean wind speed wind direction by anemoclinograph.
12. Regional Road net traffic safety situation method for early warning as claimed in claim 7, it is characterized in that: described analysis and evaluation early warning comprises:
By current situation early warning module comprehensive situation assessment early warning, weather situation assessment early warning, traffic offence situation assessment early warning, vehicle ratio situation are assessed early warning and flow sudden change situation assessment early warning;
By accident situation early warning module burst accident is assessed early warning, traffic control assessment early warning, road construction assessment early warning and inclement weather assessment early warning;
Collaborative request, requesting cooperative of receiving by collaborative early warning control resume module and the requesting cooperative that has sent;
By historical analysis early warning module to the potential safety hazard analysis, highway section analysis, dangerous point piecewise analysis, accident statistical analysis and accident situation analysis and early warning block up;
By the early warning module to adverse weather early warning and magnitude of traffic flow early warning;
By data management module assessment models management, the management of early warning countermeasure, dynamic data management, assessment data are safeguarded and the early warning data maintenance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011101632819A CN102231231A (en) | 2011-06-16 | 2011-06-16 | Area road network traffic safety situation early warning system and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011101632819A CN102231231A (en) | 2011-06-16 | 2011-06-16 | Area road network traffic safety situation early warning system and method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102231231A true CN102231231A (en) | 2011-11-02 |
Family
ID=44843794
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011101632819A Pending CN102231231A (en) | 2011-06-16 | 2011-06-16 | Area road network traffic safety situation early warning system and method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102231231A (en) |
Cited By (101)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102789690A (en) * | 2012-07-17 | 2012-11-21 | 公安部道路交通安全研究中心 | Illegal vehicle identifying method and system |
| CN102982689A (en) * | 2012-10-30 | 2013-03-20 | 武汉理工大学 | Freeway changeable speed limit control system and control method in rainy environment |
| CN103267828A (en) * | 2013-04-25 | 2013-08-28 | 北方工业大学 | System for detecting degree of automotive vehicle and environment-caused atmospheric pollution and operation method thereof |
| CN103366551A (en) * | 2012-04-05 | 2013-10-23 | 郭海锋 | Road traffic safety evaluation method |
| CN103679167A (en) * | 2013-12-18 | 2014-03-26 | 杨新锋 | Method for processing CCD images |
| CN103701855A (en) * | 2013-11-30 | 2014-04-02 | 南京大学 | Construction realization method of provincial ITS (Intelligent Transportation System) big data cloud processing center based on LDM3 (Logical Data Model <3>) |
| CN103971523A (en) * | 2014-05-21 | 2014-08-06 | 南通大学 | Mountainous road traffic safety dynamic early-warning system |
| CN103985260A (en) * | 2014-05-29 | 2014-08-13 | 公安部交通管理科学研究所 | Vehicle speed control system for expressway main line |
| CN104077924A (en) * | 2014-07-09 | 2014-10-01 | 克立司帝控制系统（上海）有限公司 | Reverse vehicle finding system and method |
| CN104123466A (en) * | 2014-07-24 | 2014-10-29 | 中国软件与技术服务股份有限公司 | Big data situation analysis early warning method and system based on normal modes |
| CN104156403A (en) * | 2014-07-24 | 2014-11-19 | 中国软件与技术服务股份有限公司 | Clustering-based big data normal-mode extracting method and system |
| CN104482965A (en) * | 2014-12-25 | 2015-04-01 | 湖北工程学院 | GSM network-based comprehensive monitoring system of urban road environment |
| CN104616496A (en) * | 2015-01-30 | 2015-05-13 | 国家电网公司 | Catastrophe theory based power grid blackout traffic jam degree evaluation method |
| CN104766480A (en) * | 2015-04-17 | 2015-07-08 | 无锡市崇安区科技创业服务中心 | Crossroad red light running capturing device |
| CN104852970A (en) * | 2015-04-24 | 2015-08-19 | 公安部道路交通安全研究中心 | Highway traffic accident information issuing system |
| CN105206053A (en) * | 2015-09-21 | 2015-12-30 | 河海大学常州校区 | Road comprehensive information processing system and method based on technology of Internet of vehicles |
| CN105261238A (en) * | 2015-10-26 | 2016-01-20 | 福建航天中路信息技术有限公司 | Highway traffic safety warning system |
| CN105321337A (en) * | 2014-07-09 | 2016-02-10 | 丘泓鲲 | Multifunctional traffic management and emergency incident command and handling system and method |
| CN105405304A (en) * | 2015-12-07 | 2016-03-16 | 北京航天福道高技术股份有限公司 | Highway long downhill path traffic safety early warning emergency processing system |
| CN105788327A (en) * | 2016-04-22 | 2016-07-20 | 安徽皖通科技股份有限公司 | Highway intelligent driving guiding method |
| CN105913654A (en) * | 2016-06-29 | 2016-08-31 | 肖锐 | Intelligent traffic management system |
| US9460616B1 (en) | 2015-12-16 | 2016-10-04 | International Business Machines Corporation | Management of mobile objects and service platform for mobile objects |
| US9467839B1 (en) | 2015-12-16 | 2016-10-11 | International Business Machines Corporation | Management of dynamic events and moving objects |
| US9497591B1 (en) | 2015-06-19 | 2016-11-15 | International Business Machines Corporation | Management of moving objects |
| US9513134B1 (en) | 2015-12-16 | 2016-12-06 | International Business Machines Corporation | Management of evacuation with mobile objects |
| CN106228811A (en) * | 2015-04-24 | 2016-12-14 | 王栋 | A kind of data processing method of mountainous area highway actual road test signal detection system |
| CN106355924A (en) * | 2016-09-06 | 2017-01-25 | 江苏智通交通科技有限公司 | Traffic data quality monitoring system |
| US9562775B2 (en) | 2015-06-19 | 2017-02-07 | International Business Machines Corporation | Geographic space management |
| US9578093B1 (en) | 2015-12-16 | 2017-02-21 | International Business Machines Corporation | Geographic space management |
| US9576482B2 (en) | 2015-06-19 | 2017-02-21 | International Business Machines Corporation | Management of moving objects |
| US9639537B2 (en) | 2015-06-19 | 2017-05-02 | International Business Machines Corporation | Geographic space management |
| CN106652562A (en) * | 2017-02-09 | 2017-05-10 | 吉林大学 | Road traffic safety pre-warning method for expressway |
| CN106781461A (en) * | 2016-12-02 | 2017-05-31 | 交通运输部公路科学研究所 | A kind of freeway net operation situation deduces thermal starting technology online |
| CN107134138A (en) * | 2017-06-06 | 2017-09-05 | 深圳市乃斯网络科技有限公司 | The distribution method and system of vehicle peccancy point in intelligent transportation |
| CN107231736A (en) * | 2017-06-23 | 2017-10-03 | 安徽卓上光电科技有限责任公司 | A kind of multifunctional tunnel lighting lamp system |
| US9792288B2 (en) | 2015-06-19 | 2017-10-17 | International Business Machines Corporation | Geographic space management |
| US9805598B2 (en) | 2015-12-16 | 2017-10-31 | International Business Machines Corporation | Management of mobile objects |
| US9865163B2 (en) | 2015-12-16 | 2018-01-09 | International Business Machines Corporation | Management of mobile objects |
| CN107644532A (en) * | 2017-09-20 | 2018-01-30 | 中山大学 | A kind of traffic violation menace level Forecasting Methodology based on Bayesian network |
| CN107945515A (en) * | 2017-12-25 | 2018-04-20 | 合肥工业大学 | Road traffic visibility stage division based on running velocity |
| CN108010349A (en) * | 2017-12-11 | 2018-05-08 | 北京工业大学 | A kind of ring road area intelligence lane-change system |
| CN108008705A (en) * | 2017-11-23 | 2018-05-08 | 武汉英伦丰创软件有限公司 | A kind of atmosphere pollution visualizing monitor assessment system |
| CN108182802A (en) * | 2017-12-26 | 2018-06-19 | 夏莹杰 | A kind of Traffic Safety Analysis method driven based on information attenuation model and by car plate data mining |
| CN108428340A (en) * | 2018-05-11 | 2018-08-21 | 深圳市图灵奇点智能科技有限公司 | Road traffic condition analysis method and system |
| CN108491418A (en) * | 2018-02-06 | 2018-09-04 | 西南交通大学 | A kind of acquisition of traffic accident data informationization, management and analysis system and method |
| CN108510733A (en) * | 2018-01-12 | 2018-09-07 | 网帅科技（北京）有限公司 | A kind of fusion of data depth transboundary solves the managing and control system of highway communication congestion |
| CN108665702A (en) * | 2018-04-18 | 2018-10-16 | 北京交通大学 | Construction road multistage early warning system and method based on bus or train route collaboration |
| CN108682155A (en) * | 2018-07-11 | 2018-10-19 | 贵州大学 | Prevent and eliminate the design method of traffic accident in advance by high moral road conditions early warning |
| CN108711287A (en) * | 2018-05-31 | 2018-10-26 | 吉林化工学院 | A kind of Intelligent traffic information acquiring analysis process system |
| CN108734961A (en) * | 2018-05-28 | 2018-11-02 | 商丘师范学院 | A kind of arithmetic for real-time traffic flow detection early warning system based on Computerized three-dimensional scene |
| CN108765956A (en) * | 2018-06-14 | 2018-11-06 | 广东工业大学 | A kind of traffic status of express way comprehensive estimation method |
| CN108806276A (en) * | 2018-04-27 | 2018-11-13 | 榛硕（武汉）智能科技有限公司 | A kind of novel intelligent traffic system and its operation method |
| CN108986458A (en) * | 2018-07-04 | 2018-12-11 | 北京航空航天大学 | A kind of highway emergency disposal analogue system and aid decision-making method based on air-ground coordination |
| CN109102695A (en) * | 2018-09-30 | 2018-12-28 | 广东利通科技投资有限公司 | Intelligent transportation service station, intelligent transportation method of servicing and system |
| US10169403B2 (en) | 2015-06-19 | 2019-01-01 | International Business Machines Corporation | Geographic space management |
| US10168424B1 (en) | 2017-06-21 | 2019-01-01 | International Business Machines Corporation | Management of mobile objects |
| CN109255944A (en) * | 2018-10-08 | 2019-01-22 | 长安大学 | The configuration of traffic accident emergency management and rescue vehicle and send method |
| CN109272175A (en) * | 2018-11-15 | 2019-01-25 | 山东管理学院 | A kind of data collection system and method based on Urban Migrant network |
| CN109448385A (en) * | 2019-01-04 | 2019-03-08 | 北京钛星科技有限公司 | Dispatch system and method in automatic driving vehicle intersection based on bus or train route collaboration |
| CN109614181A (en) * | 2018-11-15 | 2019-04-12 | 中国科学院计算机网络信息中心 | Security postures methods of exhibiting, device and the storage medium of mobile terminal |
| CN109658722A (en) * | 2018-12-10 | 2019-04-19 | 中电共建科技(北京)有限公司 | A kind of intelligent road side system based on the perception of multi-source road |
| US10339810B2 (en) | 2017-06-21 | 2019-07-02 | International Business Machines Corporation | Management of mobile objects |
| CN109979240A (en) * | 2019-04-17 | 2019-07-05 | 北京工业大学 | A kind of the transient state method for early warning and device of road danger state event |
| US10387961B1 (en) * | 2013-03-08 | 2019-08-20 | United Services Automobile Association (Usaa) | Intelligent methods of inspection for property and casualty insurance claims |
| CN110390451A (en) * | 2018-04-18 | 2019-10-29 | 网帅科技（北京）有限公司 | A kind of road traffic safety risk profile pre-warning indexes system |
| CN110459060A (en) * | 2019-08-19 | 2019-11-15 | 公安部交通管理科学研究所 | A kind of suspected vehicles information grading classification method for pushing |
| US10504368B2 (en) | 2017-06-21 | 2019-12-10 | International Business Machines Corporation | Management of mobile objects |
| CN110619747A (en) * | 2019-09-27 | 2019-12-27 | 山东奥邦交通设施工程有限公司 | Intelligent monitoring method and system for highway road |
| US10540895B2 (en) | 2017-06-21 | 2020-01-21 | International Business Machines Corporation | Management of mobile objects |
| US10546488B2 (en) | 2017-06-21 | 2020-01-28 | International Business Machines Corporation | Management of mobile objects |
| CN110807917A (en) * | 2019-10-16 | 2020-02-18 | 丽水学院 | Highway intelligent security system based on cloud calculates |
| US10594806B2 (en) | 2015-12-16 | 2020-03-17 | International Business Machines Corporation | Management of mobile objects and resources |
| US10600322B2 (en) | 2017-06-21 | 2020-03-24 | International Business Machines Corporation | Management of mobile objects |
| CN110989977A (en) * | 2019-10-31 | 2020-04-10 | 复旦大学 | Intelligent home environment personalized customization method for disabled people |
| CN111009122A (en) * | 2019-11-13 | 2020-04-14 | 青岛国信城市信息科技有限公司 | Tunnel traffic operation risk assessment method |
| CN111160766A (en) * | 2019-12-27 | 2020-05-15 | 王建坡 | Safety management system and method based on communication engineering |
| CN111179601A (en) * | 2020-02-25 | 2020-05-19 | 青岛国信城市信息科技有限公司 | Tunnel traffic operation control method |
| US10742478B2 (en) | 2015-07-07 | 2020-08-11 | International Business Machines Corporation | Management of events and moving objects |
| CN112133099A (en) * | 2020-09-28 | 2020-12-25 | 广州瀚信通信科技股份有限公司 | Intelligent traffic big data management method, system, equipment and medium based on 5G |
| CN112509376A (en) * | 2020-10-21 | 2021-03-16 | 西安交通大学 | Tunnel dynamic block division method and system |
| CN112634609A (en) * | 2020-12-14 | 2021-04-09 | 成都飞航智云科技有限公司 | Situation early warning system based on knowledge base |
| CN112634617A (en) * | 2020-12-18 | 2021-04-09 | 北京高诚科技发展有限公司 | Traffic incident prediction early warning and alarm management system |
| CN112669596A (en) * | 2020-12-14 | 2021-04-16 | 长春汽车工业高等专科学校 | Traffic safety situation distinguishing system and method based on big data |
| CN112991716A (en) * | 2019-12-16 | 2021-06-18 | 大唐高鸿数据网络技术股份有限公司 | Road condition information processing method and device, cloud control center equipment and road side unit |
| CN113065215A (en) * | 2021-03-22 | 2021-07-02 | 广州弘毅软件科技有限公司 | Method and device for predicting operation situation of expressway |
| CN113077646A (en) * | 2021-03-22 | 2021-07-06 | 北京工业大学 | Bridge operation safety multi-level differentiation prevention and control method |
| CN113284345A (en) * | 2021-04-30 | 2021-08-20 | 广州大广高速公路有限公司 | Road tunnel traffic risk assessment system and method |
| US11170649B2 (en) | 2020-02-26 | 2021-11-09 | International Business Machines Corporation | Integrated collision avoidance and road safety management system |
| CN113791410A (en) * | 2021-08-20 | 2021-12-14 | 北京市公安局公安交通管理局 | Road environment comprehensive cognition method based on multi-sensor information fusion |
| CN113807404A (en) * | 2021-08-24 | 2021-12-17 | 中通服咨询设计研究院有限公司 | Intelligent monitoring and emergency system of intelligent traffic network for multi-source information fusion |
| CN113849485A (en) * | 2021-10-12 | 2021-12-28 | 江苏泰扬金属制品有限公司 | Big data application system for mode switching |
| CN114023088A (en) * | 2021-11-03 | 2022-02-08 | 江苏尤特斯新技术有限公司 | Intelligent street-crossing signal lamp system and illegal behavior evidence-obtaining and warning method |
| CN114267173A (en) * | 2021-12-13 | 2022-04-01 | 河北雄安京德高速公路有限公司 | Multi-source data fusion method, device and equipment for highway time-space characteristics |
| CN114664060A (en) * | 2022-02-22 | 2022-06-24 | 北京掌行通信息技术有限公司 | Traffic incident early warning method, device, equipment and storage medium |
| CN114999180A (en) * | 2022-05-12 | 2022-09-02 | 广东省韶关市气象局 | Expressway severe weather traffic early warning system and method based on Internet of things |
| CN115862332A (en) * | 2022-12-02 | 2023-03-28 | 袁玉军 | Multifunctional expressway monitoring and scheduling equipment and monitoring and scheduling system |
| CN115909725A (en) * | 2022-11-01 | 2023-04-04 | 西部科学城智能网联汽车创新中心(重庆)有限公司 | Accident processing method and device based on vehicle-road cooperation |
| CN116128169A (en) * | 2023-04-19 | 2023-05-16 | 广州云硕科技发展有限公司 | Multisystem linkage control method and device for intelligent transportation |
| CN116373552A (en) * | 2023-06-05 | 2023-07-04 | 北京博创联动科技有限公司 | Vehicle motion control system based on vehicle-mounted sensor technology |
| CN117911961A (en) * | 2024-01-18 | 2024-04-19 | 中傲智能科技（苏州）有限公司 | Digital twinning-based intelligent city comprehensive law enforcement management method and system |
| CN117994983A (en) * | 2024-03-11 | 2024-05-07 | 广科通立(广东)数据服务有限公司 | Highway network situation awareness method and system based on Internet of things |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101694742A (en) * | 2009-06-16 | 2010-04-14 | 同济大学 | Operation safety control method of major highway traffic infrastructure |
| CN101694745A (en) * | 2009-06-16 | 2010-04-14 | 同济大学 | Safety detection method based on freeway geometry linear comprehensive technical indexes |
| CN101710446A (en) * | 2009-12-11 | 2010-05-19 | 同济大学 | Expressway serious lawbreaking action monitoring and early warning system and method |
| CN101807346A (en) * | 2009-02-16 | 2010-08-18 | 汉王科技股份有限公司 | Automatic license plate identification system at urban checkpoint |
-
2011
- 2011-06-16 CN CN2011101632819A patent/CN102231231A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101807346A (en) * | 2009-02-16 | 2010-08-18 | 汉王科技股份有限公司 | Automatic license plate identification system at urban checkpoint |
| CN101694742A (en) * | 2009-06-16 | 2010-04-14 | 同济大学 | Operation safety control method of major highway traffic infrastructure |
| CN101694745A (en) * | 2009-06-16 | 2010-04-14 | 同济大学 | Safety detection method based on freeway geometry linear comprehensive technical indexes |
| CN101710446A (en) * | 2009-12-11 | 2010-05-19 | 同济大学 | Expressway serious lawbreaking action monitoring and early warning system and method |
Non-Patent Citations (2)
| Title |
|---|
| 牛建峰等: "区域公路网交通安全态势评估关键技术的探讨", 《上海公路》 * |
| 王琰: "静态公路运营安全管理系统核心技术研究", 《中国博士学位论文全文数据库 （电子期刊）工程科技Ⅱ辑》 * |
Cited By (158)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103366551A (en) * | 2012-04-05 | 2013-10-23 | 郭海锋 | Road traffic safety evaluation method |
| CN102789690B (en) * | 2012-07-17 | 2014-08-20 | 公安部道路交通安全研究中心 | Illegal vehicle identifying method and system |
| CN102789690A (en) * | 2012-07-17 | 2012-11-21 | 公安部道路交通安全研究中心 | Illegal vehicle identifying method and system |
| CN102982689A (en) * | 2012-10-30 | 2013-03-20 | 武汉理工大学 | Freeway changeable speed limit control system and control method in rainy environment |
| CN102982689B (en) * | 2012-10-30 | 2014-10-01 | 武汉理工大学 | Freeway changeable speed limit control system and control method in rainy environment |
| US11756132B1 (en) | 2013-03-08 | 2023-09-12 | United Services Automobile Association (Usaa) | Intelligent methods of inspection for property and casualty insurance claims |
| US10387961B1 (en) * | 2013-03-08 | 2019-08-20 | United Services Automobile Association (Usaa) | Intelligent methods of inspection for property and casualty insurance claims |
| US11074658B1 (en) | 2013-03-08 | 2021-07-27 | United Services Automobile Association (Usaa) | Intelligent methods of inspection for property and casualty insurance claims |
| CN103267828A (en) * | 2013-04-25 | 2013-08-28 | 北方工业大学 | System for detecting degree of automotive vehicle and environment-caused atmospheric pollution and operation method thereof |
| CN103701855B (en) * | 2013-11-30 | 2016-10-12 | 南京大学 | Based on LDM3province territory ITS big data cloud processing center build implementation method |
| CN103701855A (en) * | 2013-11-30 | 2014-04-02 | 南京大学 | Construction realization method of provincial ITS (Intelligent Transportation System) big data cloud processing center based on LDM3 (Logical Data Model <3>) |
| CN103679167A (en) * | 2013-12-18 | 2014-03-26 | 杨新锋 | Method for processing CCD images |
| CN103971523A (en) * | 2014-05-21 | 2014-08-06 | 南通大学 | Mountainous road traffic safety dynamic early-warning system |
| CN103971523B (en) * | 2014-05-21 | 2016-08-17 | 南通大学 | A kind of mountain road traffic safety dynamic early-warning system |
| CN103985260B (en) * | 2014-05-29 | 2016-05-25 | 公安部交通管理科学研究所 | Highway main line vehicle speed control system |
| CN103985260A (en) * | 2014-05-29 | 2014-08-13 | 公安部交通管理科学研究所 | Vehicle speed control system for expressway main line |
| CN104077924A (en) * | 2014-07-09 | 2014-10-01 | 克立司帝控制系统（上海）有限公司 | Reverse vehicle finding system and method |
| CN105321337A (en) * | 2014-07-09 | 2016-02-10 | 丘泓鲲 | Multifunctional traffic management and emergency incident command and handling system and method |
| CN104123466B (en) * | 2014-07-24 | 2017-07-07 | 中国软件与技术服务股份有限公司 | A kind of big data Study on Trend method for early warning and system based on normal mode |
| CN104156403A (en) * | 2014-07-24 | 2014-11-19 | 中国软件与技术服务股份有限公司 | Clustering-based big data normal-mode extracting method and system |
| CN104123466A (en) * | 2014-07-24 | 2014-10-29 | 中国软件与技术服务股份有限公司 | Big data situation analysis early warning method and system based on normal modes |
| CN104156403B (en) * | 2014-07-24 | 2017-08-11 | 中国软件与技术服务股份有限公司 | A kind of big data normal mode extracting method and system based on cluster |
| CN104482965A (en) * | 2014-12-25 | 2015-04-01 | 湖北工程学院 | GSM network-based comprehensive monitoring system of urban road environment |
| CN104616496A (en) * | 2015-01-30 | 2015-05-13 | 国家电网公司 | Catastrophe theory based power grid blackout traffic jam degree evaluation method |
| CN104766480A (en) * | 2015-04-17 | 2015-07-08 | 无锡市崇安区科技创业服务中心 | Crossroad red light running capturing device |
| CN106228811A (en) * | 2015-04-24 | 2016-12-14 | 王栋 | A kind of data processing method of mountainous area highway actual road test signal detection system |
| CN104852970B (en) * | 2015-04-24 | 2018-11-30 | 公安部道路交通安全研究中心 | A kind of traffic accidents information issuing system |
| CN106228811B (en) * | 2015-04-24 | 2018-11-30 | 西安航空学院 | A kind of data processing method of mountainous area highway actual road test signal detection system |
| CN104852970A (en) * | 2015-04-24 | 2015-08-19 | 公安部道路交通安全研究中心 | Highway traffic accident information issuing system |
| US9857196B2 (en) | 2015-06-19 | 2018-01-02 | International Business Machinces Corporation | Geographic space management |
| US10019446B2 (en) | 2015-06-19 | 2018-07-10 | International Business Machines Corporation | Geographic space management |
| US9497590B1 (en) | 2015-06-19 | 2016-11-15 | International Business Machines Corporation | Management of moving objects |
| US9538327B1 (en) | 2015-06-19 | 2017-01-03 | International Business Machines Corporation | Management of moving objects |
| US10169403B2 (en) | 2015-06-19 | 2019-01-01 | International Business Machines Corporation | Geographic space management |
| US9562775B2 (en) | 2015-06-19 | 2017-02-07 | International Business Machines Corporation | Geographic space management |
| US10169402B2 (en) | 2015-06-19 | 2019-01-01 | International Business Machines Corporation | Geographic space management |
| US9576482B2 (en) | 2015-06-19 | 2017-02-21 | International Business Machines Corporation | Management of moving objects |
| US9584977B2 (en) | 2015-06-19 | 2017-02-28 | International Business Machines Corporation | Management of moving objects |
| US9639537B2 (en) | 2015-06-19 | 2017-05-02 | International Business Machines Corporation | Geographic space management |
| US9638533B2 (en) | 2015-06-19 | 2017-05-02 | International Business Machines Corporation | Geographic space management |
| US9646402B2 (en) | 2015-06-19 | 2017-05-09 | International Business Machines Corporation | Geographic space management |
| US9646493B2 (en) | 2015-06-19 | 2017-05-09 | International Business Machines Corporation | Management of moving objects |
| US10169400B2 (en) | 2015-06-19 | 2019-01-01 | International Business Machines Corporation | Geographic space management |
| US9659016B2 (en) | 2015-06-19 | 2017-05-23 | International Business Machines Corporation | Geographic space management |
| US10215570B2 (en) | 2015-06-19 | 2019-02-26 | International Business Machines Corporation | Geographic space management |
| US10878022B2 (en) | 2015-06-19 | 2020-12-29 | International Business Machines Corporation | Geographic space management |
| US9497591B1 (en) | 2015-06-19 | 2016-11-15 | International Business Machines Corporation | Management of moving objects |
| US10001377B2 (en) | 2015-06-19 | 2018-06-19 | International Business Machines Corporation | Geographic space management |
| US10262529B2 (en) | 2015-06-19 | 2019-04-16 | International Business Machines Corporation | Management of moving objects |
| US9875247B2 (en) | 2015-06-19 | 2018-01-23 | International Business Machines Corporation | Geographic space management |
| US9784584B2 (en) | 2015-06-19 | 2017-10-10 | International Business Machines Corporation | Geographic space management |
| US9792288B2 (en) | 2015-06-19 | 2017-10-17 | International Business Machines Corporation | Geographic space management |
| US10749734B2 (en) | 2015-07-07 | 2020-08-18 | International Business Machines Corporation | Management of events and moving objects |
| US10742478B2 (en) | 2015-07-07 | 2020-08-11 | International Business Machines Corporation | Management of events and moving objects |
| US10742479B2 (en) | 2015-07-07 | 2020-08-11 | International Business Machines Corporation | Management of events and moving objects |
| CN105206053A (en) * | 2015-09-21 | 2015-12-30 | 河海大学常州校区 | Road comprehensive information processing system and method based on technology of Internet of vehicles |
| CN105261238A (en) * | 2015-10-26 | 2016-01-20 | 福建航天中路信息技术有限公司 | Highway traffic safety warning system |
| CN105405304A (en) * | 2015-12-07 | 2016-03-16 | 北京航天福道高技术股份有限公司 | Highway long downhill path traffic safety early warning emergency processing system |
| US10032367B2 (en) | 2015-12-16 | 2018-07-24 | International Business Machines Corporation | Management of mobile objects and service platform for mobile objects |
| US10594806B2 (en) | 2015-12-16 | 2020-03-17 | International Business Machines Corporation | Management of mobile objects and resources |
| US9865163B2 (en) | 2015-12-16 | 2018-01-09 | International Business Machines Corporation | Management of mobile objects |
| US9513134B1 (en) | 2015-12-16 | 2016-12-06 | International Business Machines Corporation | Management of evacuation with mobile objects |
| US9467839B1 (en) | 2015-12-16 | 2016-10-11 | International Business Machines Corporation | Management of dynamic events and moving objects |
| US9578093B1 (en) | 2015-12-16 | 2017-02-21 | International Business Machines Corporation | Geographic space management |
| US9805598B2 (en) | 2015-12-16 | 2017-10-31 | International Business Machines Corporation | Management of mobile objects |
| US10043384B2 (en) | 2015-12-16 | 2018-08-07 | International Business Machines Corporation | Management of mobile objects and service platform for mobile objects |
| US9699622B1 (en) | 2015-12-16 | 2017-07-04 | International Business Machines Corporation | Management of dynamic events and moving objects |
| US9930509B2 (en) | 2015-12-16 | 2018-03-27 | International Business Machines Corporation | Management of dynamic events and moving objects |
| US9460616B1 (en) | 2015-12-16 | 2016-10-04 | International Business Machines Corporation | Management of mobile objects and service platform for mobile objects |
| CN105788327B (en) * | 2016-04-22 | 2018-08-21 | 安徽皖通科技股份有限公司 | A kind of express highway intelligent traveling guide method |
| CN105788327A (en) * | 2016-04-22 | 2016-07-20 | 安徽皖通科技股份有限公司 | Highway intelligent driving guiding method |
| CN105913654A (en) * | 2016-06-29 | 2016-08-31 | 肖锐 | Intelligent traffic management system |
| CN106355924A (en) * | 2016-09-06 | 2017-01-25 | 江苏智通交通科技有限公司 | Traffic data quality monitoring system |
| CN106355924B (en) * | 2016-09-06 | 2019-08-09 | 江苏智通交通科技有限公司 | Traffic data quality monitoring system |
| CN106781461A (en) * | 2016-12-02 | 2017-05-31 | 交通运输部公路科学研究所 | A kind of freeway net operation situation deduces thermal starting technology online |
| CN106652562A (en) * | 2017-02-09 | 2017-05-10 | 吉林大学 | Road traffic safety pre-warning method for expressway |
| CN107134138A (en) * | 2017-06-06 | 2017-09-05 | 深圳市乃斯网络科技有限公司 | The distribution method and system of vehicle peccancy point in intelligent transportation |
| US10339810B2 (en) | 2017-06-21 | 2019-07-02 | International Business Machines Corporation | Management of mobile objects |
| US10600322B2 (en) | 2017-06-21 | 2020-03-24 | International Business Machines Corporation | Management of mobile objects |
| US11386785B2 (en) | 2017-06-21 | 2022-07-12 | International Business Machines Corporation | Management of mobile objects |
| US10585180B2 (en) | 2017-06-21 | 2020-03-10 | International Business Machines Corporation | Management of mobile objects |
| US10546488B2 (en) | 2017-06-21 | 2020-01-28 | International Business Machines Corporation | Management of mobile objects |
| US10540895B2 (en) | 2017-06-21 | 2020-01-21 | International Business Machines Corporation | Management of mobile objects |
| US10168424B1 (en) | 2017-06-21 | 2019-01-01 | International Business Machines Corporation | Management of mobile objects |
| US11315428B2 (en) | 2017-06-21 | 2022-04-26 | International Business Machines Corporation | Management of mobile objects |
| US10535266B2 (en) | 2017-06-21 | 2020-01-14 | International Business Machines Corporation | Management of mobile objects |
| US10504368B2 (en) | 2017-06-21 | 2019-12-10 | International Business Machines Corporation | Management of mobile objects |
| US11024161B2 (en) | 2017-06-21 | 2021-06-01 | International Business Machines Corporation | Management of mobile objects |
| CN107231736A (en) * | 2017-06-23 | 2017-10-03 | 安徽卓上光电科技有限责任公司 | A kind of multifunctional tunnel lighting lamp system |
| CN107644532A (en) * | 2017-09-20 | 2018-01-30 | 中山大学 | A kind of traffic violation menace level Forecasting Methodology based on Bayesian network |
| CN108008705A (en) * | 2017-11-23 | 2018-05-08 | 武汉英伦丰创软件有限公司 | A kind of atmosphere pollution visualizing monitor assessment system |
| CN108010349A (en) * | 2017-12-11 | 2018-05-08 | 北京工业大学 | A kind of ring road area intelligence lane-change system |
| CN107945515A (en) * | 2017-12-25 | 2018-04-20 | 合肥工业大学 | Road traffic visibility stage division based on running velocity |
| CN108182802B (en) * | 2017-12-26 | 2020-10-16 | 杭州远眺科技有限公司 | Traffic safety analysis method based on information attenuation model and driven by license plate data mining |
| CN108182802A (en) * | 2017-12-26 | 2018-06-19 | 夏莹杰 | A kind of Traffic Safety Analysis method driven based on information attenuation model and by car plate data mining |
| CN108510733A (en) * | 2018-01-12 | 2018-09-07 | 网帅科技（北京）有限公司 | A kind of fusion of data depth transboundary solves the managing and control system of highway communication congestion |
| CN108491418A (en) * | 2018-02-06 | 2018-09-04 | 西南交通大学 | A kind of acquisition of traffic accident data informationization, management and analysis system and method |
| CN108665702B (en) * | 2018-04-18 | 2020-09-29 | 北京交通大学 | Construction road multistage early warning system and method based on vehicle-road cooperation |
| CN108665702A (en) * | 2018-04-18 | 2018-10-16 | 北京交通大学 | Construction road multistage early warning system and method based on bus or train route collaboration |
| CN110390451A (en) * | 2018-04-18 | 2019-10-29 | 网帅科技（北京）有限公司 | A kind of road traffic safety risk profile pre-warning indexes system |
| CN108806276A (en) * | 2018-04-27 | 2018-11-13 | 榛硕（武汉）智能科技有限公司 | A kind of novel intelligent traffic system and its operation method |
| CN108428340A (en) * | 2018-05-11 | 2018-08-21 | 深圳市图灵奇点智能科技有限公司 | Road traffic condition analysis method and system |
| CN108734961A (en) * | 2018-05-28 | 2018-11-02 | 商丘师范学院 | A kind of arithmetic for real-time traffic flow detection early warning system based on Computerized three-dimensional scene |
| CN108711287A (en) * | 2018-05-31 | 2018-10-26 | 吉林化工学院 | A kind of Intelligent traffic information acquiring analysis process system |
| CN108765956A (en) * | 2018-06-14 | 2018-11-06 | 广东工业大学 | A kind of traffic status of express way comprehensive estimation method |
| CN108986458A (en) * | 2018-07-04 | 2018-12-11 | 北京航空航天大学 | A kind of highway emergency disposal analogue system and aid decision-making method based on air-ground coordination |
| CN108682155A (en) * | 2018-07-11 | 2018-10-19 | 贵州大学 | Prevent and eliminate the design method of traffic accident in advance by high moral road conditions early warning |
| CN109102695B (en) * | 2018-09-30 | 2020-03-27 | 广东利通科技投资有限公司 | Intelligent traffic service station, intelligent traffic service method and system |
| CN109102695A (en) * | 2018-09-30 | 2018-12-28 | 广东利通科技投资有限公司 | Intelligent transportation service station, intelligent transportation method of servicing and system |
| CN109255944A (en) * | 2018-10-08 | 2019-01-22 | 长安大学 | The configuration of traffic accident emergency management and rescue vehicle and send method |
| CN109255944B (en) * | 2018-10-08 | 2021-08-17 | 长安大学 | Configuration and dispatching method for traffic accident emergency rescue vehicle |
| CN109614181A (en) * | 2018-11-15 | 2019-04-12 | 中国科学院计算机网络信息中心 | Security postures methods of exhibiting, device and the storage medium of mobile terminal |
| CN109272175A (en) * | 2018-11-15 | 2019-01-25 | 山东管理学院 | A kind of data collection system and method based on Urban Migrant network |
| CN109658722A (en) * | 2018-12-10 | 2019-04-19 | 中电共建科技(北京)有限公司 | A kind of intelligent road side system based on the perception of multi-source road |
| CN109448385A (en) * | 2019-01-04 | 2019-03-08 | 北京钛星科技有限公司 | Dispatch system and method in automatic driving vehicle intersection based on bus or train route collaboration |
| CN109979240A (en) * | 2019-04-17 | 2019-07-05 | 北京工业大学 | A kind of the transient state method for early warning and device of road danger state event |
| CN110459060A (en) * | 2019-08-19 | 2019-11-15 | 公安部交通管理科学研究所 | A kind of suspected vehicles information grading classification method for pushing |
| CN110459060B (en) * | 2019-08-19 | 2021-07-06 | 公安部交通管理科学研究所 | Classified pushing method for suspect vehicle information |
| CN110619747A (en) * | 2019-09-27 | 2019-12-27 | 山东奥邦交通设施工程有限公司 | Intelligent monitoring method and system for highway road |
| CN110807917A (en) * | 2019-10-16 | 2020-02-18 | 丽水学院 | Highway intelligent security system based on cloud calculates |
| CN110989977A (en) * | 2019-10-31 | 2020-04-10 | 复旦大学 | Intelligent home environment personalized customization method for disabled people |
| CN111009122A (en) * | 2019-11-13 | 2020-04-14 | 青岛国信城市信息科技有限公司 | Tunnel traffic operation risk assessment method |
| CN112991716A (en) * | 2019-12-16 | 2021-06-18 | 大唐高鸿数据网络技术股份有限公司 | Road condition information processing method and device, cloud control center equipment and road side unit |
| CN111160766A (en) * | 2019-12-27 | 2020-05-15 | 王建坡 | Safety management system and method based on communication engineering |
| CN111179601A (en) * | 2020-02-25 | 2020-05-19 | 青岛国信城市信息科技有限公司 | Tunnel traffic operation control method |
| US11170649B2 (en) | 2020-02-26 | 2021-11-09 | International Business Machines Corporation | Integrated collision avoidance and road safety management system |
| CN112133099A (en) * | 2020-09-28 | 2020-12-25 | 广州瀚信通信科技股份有限公司 | Intelligent traffic big data management method, system, equipment and medium based on 5G |
| CN112509376A (en) * | 2020-10-21 | 2021-03-16 | 西安交通大学 | Tunnel dynamic block division method and system |
| CN112634609A (en) * | 2020-12-14 | 2021-04-09 | 成都飞航智云科技有限公司 | Situation early warning system based on knowledge base |
| CN112669596B (en) * | 2020-12-14 | 2023-01-24 | 长春汽车工业高等专科学校 | Traffic safety situation distinguishing system and method based on big data |
| CN112669596A (en) * | 2020-12-14 | 2021-04-16 | 长春汽车工业高等专科学校 | Traffic safety situation distinguishing system and method based on big data |
| CN112634617A (en) * | 2020-12-18 | 2021-04-09 | 北京高诚科技发展有限公司 | Traffic incident prediction early warning and alarm management system |
| CN113077646A (en) * | 2021-03-22 | 2021-07-06 | 北京工业大学 | Bridge operation safety multi-level differentiation prevention and control method |
| CN113065215A (en) * | 2021-03-22 | 2021-07-02 | 广州弘毅软件科技有限公司 | Method and device for predicting operation situation of expressway |
| CN113284345A (en) * | 2021-04-30 | 2021-08-20 | 广州大广高速公路有限公司 | Road tunnel traffic risk assessment system and method |
| CN113791410A (en) * | 2021-08-20 | 2021-12-14 | 北京市公安局公安交通管理局 | Road environment comprehensive cognition method based on multi-sensor information fusion |
| CN113791410B (en) * | 2021-08-20 | 2023-10-24 | 北京市公安局公安交通管理局 | Road environment comprehensive cognition method based on multi-sensor information fusion |
| CN113807404A (en) * | 2021-08-24 | 2021-12-17 | 中通服咨询设计研究院有限公司 | Intelligent monitoring and emergency system of intelligent traffic network for multi-source information fusion |
| CN113807404B (en) * | 2021-08-24 | 2024-02-27 | 中通服咨询设计研究院有限公司 | Intelligent monitoring and emergency system of intelligent traffic network for multi-source information fusion |
| CN113849485A (en) * | 2021-10-12 | 2021-12-28 | 江苏泰扬金属制品有限公司 | Big data application system for mode switching |
| CN114023088A (en) * | 2021-11-03 | 2022-02-08 | 江苏尤特斯新技术有限公司 | Intelligent street-crossing signal lamp system and illegal behavior evidence-obtaining and warning method |
| CN114267173B (en) * | 2021-12-13 | 2023-08-18 | 河北雄安京德高速公路有限公司 | Multisource data fusion method, device and equipment for space-time characteristics of expressway |
| CN114267173A (en) * | 2021-12-13 | 2022-04-01 | 河北雄安京德高速公路有限公司 | Multi-source data fusion method, device and equipment for highway time-space characteristics |
| CN114664060A (en) * | 2022-02-22 | 2022-06-24 | 北京掌行通信息技术有限公司 | Traffic incident early warning method, device, equipment and storage medium |
| CN114999180A (en) * | 2022-05-12 | 2022-09-02 | 广东省韶关市气象局 | Expressway severe weather traffic early warning system and method based on Internet of things |
| CN114999180B (en) * | 2022-05-12 | 2023-12-26 | 广东省韶关市气象局 | Expressway bad weather traffic early warning system and method based on Internet of things |
| CN115909725B (en) * | 2022-11-01 | 2023-09-15 | 西部科学城智能网联汽车创新中心(重庆)有限公司 | Accident handling method and device based on vehicle-road cooperation |
| CN115909725A (en) * | 2022-11-01 | 2023-04-04 | 西部科学城智能网联汽车创新中心(重庆)有限公司 | Accident processing method and device based on vehicle-road cooperation |
| CN115862332A (en) * | 2022-12-02 | 2023-03-28 | 袁玉军 | Multifunctional expressway monitoring and scheduling equipment and monitoring and scheduling system |
| CN115862332B (en) * | 2022-12-02 | 2024-01-12 | 袁玉军 | Multifunctional highway monitoring and dispatching equipment and monitoring and dispatching system |
| CN116128169B (en) * | 2023-04-19 | 2023-06-27 | 广州云硕科技发展有限公司 | Multisystem linkage control method and device for intelligent transportation |
| CN116128169A (en) * | 2023-04-19 | 2023-05-16 | 广州云硕科技发展有限公司 | Multisystem linkage control method and device for intelligent transportation |
| CN116373552B (en) * | 2023-06-05 | 2023-09-08 | 北京博创联动科技有限公司 | Vehicle motion control system based on vehicle-mounted sensor technology |
| CN116373552A (en) * | 2023-06-05 | 2023-07-04 | 北京博创联动科技有限公司 | Vehicle motion control system based on vehicle-mounted sensor technology |
| CN117911961A (en) * | 2024-01-18 | 2024-04-19 | 中傲智能科技（苏州）有限公司 | Digital twinning-based intelligent city comprehensive law enforcement management method and system |
| CN117911961B (en) * | 2024-01-18 | 2024-08-16 | 中傲智能科技（苏州）有限公司 | Digital twinning-based intelligent city comprehensive law enforcement management method and system |
| CN117994983A (en) * | 2024-03-11 | 2024-05-07 | 广科通立(广东)数据服务有限公司 | Highway network situation awareness method and system based on Internet of things |
| CN117994983B (en) * | 2024-03-11 | 2024-07-16 | 广科通立(广东)数据服务有限公司 | Highway network situation awareness method and system based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102231231A (en) | Area road network traffic safety situation early warning system and method thereof | |
| Martin et al. | Detector technology evaluation | |
| CN108022440A (en) | The expressway fog early warning system and method for early warning cooperateed with based on unmanned aerial vehicle and bus or train route | |
| CN109102695B (en) | Intelligent traffic service station, intelligent traffic service method and system | |
| Mahmassain et al. | Evaluation of incident detection methodologies | |
| Feng | Synthesis of studies on speed and safety | |
| CN111932876A (en) | Road surface induction system and method based on wide area radar | |
| CN114724356B (en) | GIS expressway accident early warning method and system based on meteorological data integration | |
| Hill et al. | Concept of operations for road weather connected vehicle applications | |
| Ghosh | Examination of the factors influencing the clearance time of freeway incidents | |
| Fontaine et al. | Traffic monitoring | |
| Bertini et al. | Advanced traffic management system data | |
| Mlinarić | Inteligent Traffic Control with Priority for Emergency Vehicles | |
| Shinde et al. | Intelligent Transport Systems (ITS) | |
| Mishra et al. | A Comprehensive Study on Intelligent Transportation Systems | |
| Downey | Evaluating the Effects of a Congestion and Weather Responsive Advisory Variable Speed Limit System in Portland, Oregon | |
| Kummetha et al. | Proactive Congestion Management | |
| Zhou | An integrated traffic incident detection model | |
| Hill et al. | Concept of Operations for Road Weather Connected Vehicle and Automated Vehicle Applications | |
| Savolainen et al. | Using detector data to identify and examine crashes and incidents on freeways. | |
| Shi | Urban Expressway Safety and Efficiency Evaluation and Improvement using Big Data | |
| Walton et al. | Arterial intelligent transportation systems: infrastructure elements and traveler information requirements. | |
| Haas et al. | Evaluation of Automatic Vehicle Identification for San Antonio's TransGuide for Incident Detection and Advanced Traveler Information Systems | |
| Chase et al. | Evaluation of the Monroe Expressway Wrong Way Vehicle Detection Program | |
| Joscelyn et al. | Police Enforcement Procedures for Unsafe Driving Actions: Volume I: Summary |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20111102 |