CN114419897A - Urban traffic CIM system based on V2X technology and display method thereof - Google Patents
Urban traffic CIM system based on V2X technology and display method thereof Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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Abstract
The invention discloses an urban traffic CIM system based on V2X technology and a display method thereof, wherein the system comprises a data acquisition unit, a data processing unit, a system function unit and a scene display unit; the data acquisition unit comprises a CIM data acquisition end and a V2X scene data acquisition end, wherein the application of the CIM system for urban traffic comprises the following steps: the method comprises the steps of data acquisition, data processing, functional module design and data display scheme design, and integrates an urban traffic application system of CIM and V2X technologies, namely a solution for traffic scenes of GIS + big data + BIM + V2X + visualization technology; a GIS system is used as a bottom plate for bearing information, massive urban traffic information is stored, and single data of traffic facilities and vehicles are put into the bottom plate by a BIM technology. Monitoring data of each scene (V2V/V2I/V2P/V2N) provided by the V2X technology are fused, and a digital twin form of an urban traffic operation state is constructed; the method provides an intuitive and efficient solution for comprehensive traffic management of the smart city.
Description
Technical Field
The invention relates to the technical field of data processing of the Internet of things, in particular to an urban traffic CIM system based on a V2X technology and a display method thereof.
Background
V2X (Vehicle-to-event) is one of the support technologies for intelligent transportation. V2X includes Vehicle-to-Vehicle V2V (Vehicle-to-Vehicle), Vehicle-to-Infrastructure V2I (Vehicle-to-Infrastructure), Vehicle-to-Pedestrian V2P (Vehicle-to-Pedestrian), Vehicle-to-external Network V2N (Vehicle-to-Network), and other application communication application scenarios.
The CIM (City Information modeling) city Information model is based on technologies such as a Building Information Model (BIM), a Geographic Information System (GIS), an internet of things (IoT) and the like, and integrates the overground, the indoor and the outdoor of a city, the future multi-dimensional multi-scale spatial data of the current historical situation and the internet of things perception data to construct a city Information organic complex of a three-dimensional digital space.
In the current urban traffic application, a solution of 'GIS + big data + visualization technology' is generally adopted, and based on realizing integration of multisource heterogeneous traffic data in a smart urban environment, services (such as a high-grade public transportation big data platform and an urban traffic assessment, diagnosis, treatment and analysis platform) of traffic comprehensive management and control, traffic comprehensive information, traffic signal control, smart parking and the like are provided.
By adopting the urban traffic application of 'GIS + big data + visualization technology', the aim of managing the data resources of one map can be fulfilled, but the visualization form is two-dimensional, the display of the traffic demand and the running state is not visual and dynamic enough, and the demand of high-efficiency urban traffic comprehensive management can not be met; and lack of effective analysis and control solutions for structural defects of the traffic infrastructure (roads, stations, parking lots).
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an urban traffic CIM system based on a V2X technology and a display method thereof, so as to improve the display effect of the traffic demand running state, meet various display demands and realize informatization support of a plurality of scenes in the field of intelligent urban traffic comprehensive management; real-time monitoring and timely feedback are realized for traffic infrastructure.
In order to achieve the purpose, the invention provides an urban traffic CIM system based on a V2X technology, which comprises a data acquisition unit, a data processing unit, a system function unit and a scene display unit; the data acquisition unit comprises a CIM data acquisition end and a V2X scene data acquisition end, wherein the application of the CIM system for urban traffic comprises the following steps:
s10, data acquisition, wherein the data acquisition is carried out through the CIM data acquisition end and the V2X scene data acquisition end respectively;
s20, processing data, namely performing operation processing on the data acquired in the step S10, binding the processed data with a space model to obtain modeled data, and storing the modeled data;
s30, designing a functional module, and designing a corresponding functional module based on the characteristics of the modeling data;
and S40, designing a data display scheme, and providing a required display scheme through the fusion of data characteristics and function module information.
According to the urban traffic CIM system, an urban traffic application system integrating CIM and V2X technologies, namely a solution for traffic scenes of 'GIS + big data + BIM + V2X + visualization technology'; a GIS system is used as a bottom plate for bearing information, massive urban traffic information is stored, and single data of traffic facilities and vehicles are put into the bottom plate by a BIM technology. Monitoring data of each scene (V2V/V2I/V2P/V2N) provided by the V2X technology are fused, and a digital twin form of an urban traffic operation state is constructed; the method provides an intuitive and efficient solution for comprehensive traffic management of the smart city.
According to an advantageous feature of the above-mentioned CIM system for urban traffic, the data processing comprises the following steps:
s21, cleaning data, arranging and standardizing the original data according to cleaning rules, and storing the cleaned data into a temporary data table;
s22, data filtering, namely screening the original data according to a filtering rule, and storing the screened data into a temporary data table;
s23, standardizing data, establishing a data lightweight rule for specific analysis services, extracting standardized data required by analysis from original data, and storing the standardized data into a formal data sheet;
and S24, spatializing the data processed in the steps S21-S23 and the space model to form a component of the CIM model.
Through the above collection processing of each item of data, each item of data is convenient to apply to the subsequent processing process, the efficiency of subsequent data processing is improved, and the operation efficiency of the whole system is improved.
According to an advantageous feature of the above-mentioned CIM system, the data collected by the CIM data collection end includes:
and (3) Internet of things perception data: mobile phone signaling data, bus/track card swiping data, vehicle-mounted GPS data, App position point data and other traffic detection data;
internet data: POI (point of interest), facility data travel time/cost data, building profile data, degree of traffic congestion;
survey data: road network topology data, bus/track network data, transportation junction facility data, a BIM (building information modeling) model of a subway station, transportation trip characteristics, economic and social attribute survey and census data;
planning data: traffic planning data, and homeland space planning data.
According to an advantageous feature of the CIM system, the data collected by the V2X scene data collection end includes:
V2V scene data: the early warning system comprises vehicle collision early warning data, vehicle out-of-control early warning data, emergency braking data, auxiliary driving data and lane change early warning data;
V2I scene data: red light early warning data, speed limit early warning data, construction area early warning data, weather early warning data and pedestrian crossing early warning data;
V2P scene data: pedestrian early warning data and backing early warning data;
V2N scene data: and sharing the area broadcast data and the cloud information.
According to an advantageous feature of the above-mentioned CIM system, the functional module design comprises:
a holographic sensing module, a comprehensive management module and a decision auxiliary module based on CIM platform data;
a facility detection module, a scene detection module and a traffic planning module based on V2X scene data; and
and the information sharing module is formed on the basis of the data publishing capability of the CIM platform and the cloud information sharing capability in the V2X scene. The functional points which can be designed at least by the functional modules and the data characteristics comprise: the system comprises visual display, decision support, trip amount distribution, trip characteristic analysis, image recognition, parking detection, checkpoint monitoring and information sharing, and provides powerful data support for display of subsequent schemes through various function points, so that the efficiency of urban comprehensive management is improved.
According to an advantageous embodiment of the above-mentioned CIM system, the data presentation scheme design comprises:
an intelligent traffic map: the method comprises the steps that multisource traffic operation monitoring data are collected through an internet of things sensing device, on the basis of combining various traffic operation evaluation indexes, the collected data are dynamically analyzed and processed through a traffic one-map large data platform, various original data are integrated into comprehensive data capable of truly reflecting urban road traffic operation conditions, and therefore the intelligent visual traffic management system can meet monitoring and supervision in a normal state and cooperative disposal in an emergency state;
monitoring pavement diseases: through the internet of things sensing equipment deployed in a V2I scene, the road structure defect problem is early discovered and early managed, the structure defect data is collected in real time, the road facility health problem is managed from the source, the traffic health of an urban road network is realized, the actual sensing requirement of urban road facilities is met, and the efficient operation of an urban traffic system is finally realized;
intelligent monitoring of traffic flow: based on the calculation result of mass historical traffic flow data, traffic flow is predicted by adopting modes of nonparametric regression and the like, and data support is provided for vehicle path induction through uninterrupted short-time traffic flow prediction circulating calculation, so that effective supervision and management of road traffic are realized;
traffic information service: the method has the advantages that real-time/timing release of urban traffic information is realized under a V2N scene through the message pushing and releasing capacity of the CIM platform, regional traffic signals are dynamically controlled, rail traffic is coordinated and scheduled, and early warning and processing are performed on emergency time.
The invention has the following beneficial effects:
1. compared with the traditional traffic application, the CIM traffic application adds a two-dimensional and three-dimensional bottom plate data and relational database mixing strategy, and provides data storage/management/operation capability under different data scenes; the unique department attribution data capacity of the CIM platform realizes cross-department and cross-field multi-source information collaborative sharing of traffic management business in a city range; the resource sharing, the business cooperation and the integrated operation among different urban areas and different traffic modes are realized, and the limitation and the restriction of space and time on traffic transportation service are overcome.
2. Compared with common CIM application, the traffic application blended with V2X technical scene data increases the service capacity of vehicle-road cooperation and regional road network cooperation, can find traffic abnormality at the first time based on an Internet of things perception technology under V2X technology, and on the basis, utilizes basic facilities such as a bayonet electric alarm, video monitoring, signal lamps and electronic license plates to automatically calculate the traffic capacity and traffic capacity of the road network, dynamically senses the traffic condition of the road network, and actively predicts, automatically handles and quickly responds to traffic operation; through the application of the internet of things perception technology, the traffic production and operation actual conditions are comprehensively mastered, and traffic management is intelligentized and precise.
The convergence and fusion of the V2X data and the CIM basic data adopt a city CIM model as a substrate, fuzzy matching, spatial correlation and other convergence technologies, fuzzy matching, cluster analysis, regression analysis and other data mining technologies and real-time online simulation display technologies; the integration development of an industry technology system is promoted through new technologies such as big data, cloud computing and mobile internet, and a uniform integration technology system is formed; the urban traffic CIM application based on the V2X technology can enable traffic transportation management and administrative management capabilities, and finally realize decision-making datamation, transportation service intellectualization, industry management integration and travel service diversification along with the improvement of traffic service capabilities, so that the demand of an ideological right management mode is met.
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In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a system architecture diagram of a CIM system for urban traffic according to an embodiment of the present invention;
FIG. 2 is a data source composition diagram of a CIM data acquisition end part in the embodiment of the invention;
fig. 3 is a data source composition diagram of a V2X scene data acquisition end in the embodiment of the invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It should be noted that, unless otherwise specified, technical terms or scientific terms used herein shall have the ordinary meaning understood by those skilled in the art, wherein fig. 1 is a block flow diagram as a whole, fig. 2 is a data source configuration diagram of a CIM data acquisition end portion, and fig. 3 is a data source configuration diagram of a V2X scene data acquisition end.
As shown in fig. 1, a specific embodiment of the present invention is an urban traffic CIM system based on V2X technology and a display method thereof, where the urban traffic CIM system includes a data acquisition unit, a data processing unit, a system function unit, and a scene display unit; the data acquisition unit comprises a CIM data acquisition end and a V2X scene data acquisition end, wherein the V2X scene data acquisition is based on communication units installed on vehicles/road facilities, and the communication units are not only data providing ends but also data consuming ends; the application of the CIM system for urban traffic comprises the following steps:
as shown in fig. 2, in S10, data acquisition is performed through the CIM data acquisition end and the V2X scene data acquisition end, specifically:
the data collected by the CIM data collecting end comprises the following steps:
and (3) Internet of things perception data: mobile phone signaling data, bus/track card swiping data, vehicle-mounted GPS data, App position point data and other traffic detection data;
internet data: POI (point of interest), facility data travel time/cost data, building profile data, degree of traffic congestion;
survey data: road network topology data, bus/track network data, transportation junction facility data, a BIM (building information modeling) model of a subway station, transportation trip characteristics, economic and social attribute survey and census data;
planning data: traffic planning data, and homeland space planning data.
As shown in FIG. 3, the data collected by the V2X scene data collection end includes (V2V/V2I/V2P/V2N):
V2V scene data: the early warning system comprises vehicle collision early warning data, vehicle out-of-control early warning data, emergency braking data, auxiliary driving data and lane change early warning data;
V2I scene data: red light early warning data, speed limit early warning data, construction area early warning data, weather early warning data and pedestrian crossing early warning data;
V2P scene data: pedestrian early warning data and backing early warning data;
V2N scene data: and sharing the area broadcast data and the cloud information.
S20, processing data, namely performing operation processing on the data acquired in the step S10, binding the processed data with a space model to obtain modeled data, and storing the modeled data; the method comprises the following specific steps:
s21, cleaning data, arranging and standardizing the original data according to cleaning rules, and storing the cleaned data into a temporary data table; the cleaning rule of one embodiment of the invention: according to the flow of completing data, logic checking, repeated checking and consistency checking; taking red light early warning data in a V2I scene as an example according to the rule, the data are acquired by a communication unit arranged on a vehicle, and when the vehicle normally runs to each intersection, red light early warning signals sent by a roadside intelligent traffic light are received; the complete red light early warning data comprises time, place, intelligent traffic light number, signal receiving marks and vehicle braking data; if X vehicles pass through a certain street and the number of red light early warning signals which each vehicle should receive is Y, then in a statistical period, the street should upload X X Y red light early warning data; the data cleaning process is as follows: manually completing the early warning quantity, then carrying out logic check according to the early warning occurrence place (deleting data which do not belong to the street/the statistical time period), carrying out repeatability check on data with the same early warning time or the same preset place, and carrying out consistency monitoring on early warning data sent by different vehicles, thereby finishing the cleaning operation of the red light early warning data in the statistical period; the data storage tape temporary data table that completes the cleaning operation.
S22, data filtering, namely screening the original data according to a filtering rule, and storing the screened data into a temporary data table; according to the invention, a filtering rule is a filtering rule which is obtained by screening a time period; taking red light early warning data as an example, a rule is formulated: "night 12: the red light early warning data between 00 and 6: 00' in the morning are not required to be brought into the statistical analysis range, and the data in the time period can be removed by time screening of the red light early warning data; and storing the filtered red light early warning data into a temporary data table.
S23, standardizing data, establishing a data lightweight rule for specific analysis services, extracting standardized data required by analysis from original data, and storing the standardized data into a formal data sheet; the specific embodiment of the lightweight rule of the invention is as follows: taking red light early warning data as an example, if the system needs to analyze whether the red light early warning data of the whole block conforms to the expected quantity and frequency in the early peak period; then rules need to be established: in the interval of 07:00 to 09:00 in the morning, red light early warning data of all streets in the whole block are extracted, only time and place fields in the data are reserved, and receiving marks and vehicle braking data are not reserved, and the data after rule processing are stored in a formal data table.
S24, spatializing data, namely binding the data processed in the steps S21-S23 with a space model to form a component of the CIM model; one specific embodiment of the present invention is: taking red light early warning data as an example, assuming that the number of red light early warning data counted in a certain block is 1000, the method for performing data spatialization operation is as follows: and binding the alarm data and the space model of the block by taking the place information in the 1000 pieces of early warning data as a matching basis to jointly form a CIM model-block model, and then performing model rendering display and subsequent services.
S30, designing a functional module, and designing a corresponding functional module based on the characteristics of the modeling data; the method comprises the following specific steps:
the CIM application system for urban traffic based on the V2X technology not only reserves the elements of CIM application holographic perception, comprehensive management and decision assistance in module design, but also designs modules for facility monitoring, scene monitoring, traffic planning and the like according to the characteristics of V2X scene data; the following description of the application design of the system core function points in the invention is as follows:
spatial association and three-dimensional display configuration: the method is based on the binding of the CIM model and the data, public place information is used as a basis for spatial correlation matching during the binding, the model is rendered through the data to form a three-dimensional display model, and a more intuitive display functional module is provided for traffic comprehensive management.
Visual display: based on various urban spatial information and social information stored by the CIM platform, various indexes such as population and post distribution, traffic trip characteristics, road congestion degree and the like in an urban range are deeply excavated, and a display system of the current situation and the service level of municipal transportation facilities is constructed.
Decision support: the method provides real-time control and regional coordination abilities facing road traffic and rail traffic based on road flow prediction and traffic demand analysis, obtains an operation model of the current situation of urban traffic according to passenger flow characteristic analysis and traffic facility visual query, and provides auxiliary decision support for road planning construction and rail line planning.
Road traffic, travel amount distribution and travel characteristic analysis: based on an internet of things perception technology under a V2X (V2P/I) scene, an analysis model is established for urban road traffic/rail transit passenger flow travel conditions, passenger flow travel modes, paths and time, the time/space homogenization of traffic demands is promoted, and traffic congestion is relieved.
Image recognition: based on video capture and intelligent analysis technologies in a V2X (V2V/I) scene, the integrated operation monitoring of people/vehicles/roads is realized, abnormal traffic operation is found at the first time, and information such as road surface conditions, traffic flow conditions and abnormal events is effectively analyzed and notified.
Parking lot monitoring and bayonet monitoring: based on an Internet of things perception technology and a video analysis technology under a V2X (V2I) scene, important municipal facilities and road traffic main lines are monitored in real time, incoming signals, video streams and vehicle data are subjected to deep fusion analysis, and capabilities of parking space guidance, indoor and outdoor vehicle navigation, main line green wave control and the like are provided
Information sharing: based on the data publishing capability of the CIM platform and the cloud information sharing capability in the V2X scene, the real-time information broadcasting is carried out on vehicles/rail traffic in the area, an emergency command mechanism integrating people, vehicles and roads is formed, and the area road network cooperative management is realized.
S40, designing a data display scheme, and providing a required display scheme through fusion of data characteristics and function module information; the data presentation scheme design comprises:
an intelligent traffic map: the method comprises the steps that multisource traffic operation monitoring data are collected through an internet of things sensing device, on the basis of combining various traffic operation evaluation indexes, the collected data are dynamically analyzed and processed through a traffic one-map large data platform, various original data are integrated into comprehensive data capable of truly reflecting urban road traffic operation conditions, and therefore the intelligent visual traffic management system can meet monitoring and supervision in a normal state and cooperative disposal in an emergency state;
monitoring pavement diseases: through the internet of things sensing equipment deployed in a V2I scene, the road structure defect problem is early discovered and early managed, the structure defect data is collected in real time, the road facility health problem is managed from the source, the traffic health of an urban road network is realized, the actual sensing requirement of urban road facilities is met, and the efficient operation of an urban traffic system is finally realized;
intelligent monitoring of traffic flow: based on the calculation result of mass historical traffic flow data, traffic flow is predicted by adopting modes of nonparametric regression and the like, and data support is provided for vehicle path induction through uninterrupted short-time traffic flow prediction circulating calculation, so that effective supervision and management of road traffic are realized;
traffic information service: the method has the advantages that real-time/timing release of urban traffic information is realized under a V2N scene through the message pushing and releasing capacity of the CIM platform, regional traffic signals are dynamically controlled, rail traffic is coordinated and scheduled, and early warning and processing are performed on emergency time.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (7)
1. A traffic data display method based on a V2X technology is characterized by comprising the following steps:
s10, data acquisition, namely, respectively acquiring data through a CIM data acquisition end and a V2X scene data acquisition end;
s20, processing data, namely performing operation processing on the data acquired in the step S10, binding the processed data with a space model to obtain modeled data, and storing the modeled data;
s30, designing a functional module, and designing a corresponding functional module based on the characteristics of the modeling data;
and S40, designing a data display scheme, and providing a required display scheme through the fusion of data characteristics and function module information.
2. The traffic data display method based on the V2X technology as claimed in claim 1, wherein the data processing includes the following steps:
s21, cleaning data, arranging and standardizing the original data according to cleaning rules, and storing the cleaned data into a temporary data table;
s22, data filtering, namely screening the original data according to a filtering rule, and storing the screened data into a temporary data table;
s23, standardizing data, establishing a data lightweight rule for specific analysis services, extracting standardized data required by analysis from original data, and storing the standardized data into a formal data sheet;
and S24, spatializing the data processed in the steps S21-S23 and the space model to form a component of the CIM model.
3. The traffic data display method based on the V2X technology as claimed in claim 1, wherein the data collected by the CIM data collection end includes:
and (3) Internet of things perception data: mobile phone signaling data, bus/track card swiping data, vehicle-mounted GPS data, App position point data and other traffic detection data;
internet data: POI (point of interest), facility data travel time/cost data, building profile data, degree of traffic congestion;
survey data: road network topology data, bus/track network data, transportation junction facility data, a BIM (building information modeling) model of a subway station, transportation trip characteristics, economic and social attribute survey and census data;
planning data: traffic planning data, and homeland space planning data.
4. The traffic data display method based on V2X technology of claim 1, wherein the data collected by the V2X scene data collection end includes:
V2V scene data: the early warning system comprises vehicle collision early warning data, vehicle out-of-control early warning data, emergency braking data, auxiliary driving data and lane change early warning data;
V2I scene data: red light early warning data, speed limit early warning data, construction area early warning data, weather early warning data and pedestrian crossing early warning data;
V2P scene data: pedestrian early warning data and backing early warning data;
V2N scene data: and sharing the area broadcast data and the cloud information.
5. The traffic data display method based on the V2X technology as claimed in claim 1, wherein the functional module design includes:
a holographic sensing module, a comprehensive management module and a decision auxiliary module based on CIM platform data;
a facility detection module, a scene detection module and a traffic planning module based on V2X scene data; and
and the information sharing module is formed on the basis of the data publishing capability of the CIM platform and the cloud information sharing capability in the V2X scene.
6. The traffic data display method based on V2X technology according to claim 4, wherein the data display scheme design includes:
an intelligent traffic map: the method comprises the steps that multisource traffic operation monitoring data are collected through an internet of things sensing device, on the basis of combining various traffic operation evaluation indexes, the collected data are dynamically analyzed and processed through a traffic one-map large data platform, various original data are integrated into comprehensive data capable of truly reflecting urban road traffic operation conditions, and therefore the intelligent visual traffic management system can meet monitoring and supervision in a normal state and cooperative disposal in an emergency state;
monitoring pavement diseases: through the internet of things sensing equipment deployed in a V2I scene, the road structure defect problem is early discovered and early managed, the structure defect data is collected in real time, the road facility health problem is managed from the source, the traffic health of an urban road network is realized, the actual sensing requirement of urban road facilities is met, and the efficient operation of an urban traffic system is finally realized;
intelligent monitoring of traffic flow: based on the calculation result of mass historical traffic flow data, traffic flow is predicted in a non-parameter regression mode, and short-time traffic flow prediction circulating calculation is uninterruptedly performed, so that data support is provided for vehicle path induction, and effective supervision and management of road traffic are realized;
traffic information service: the method has the advantages that real-time/timing release of urban traffic information is realized under a V2N scene through the message pushing and releasing capacity of the CIM platform, regional traffic signals are dynamically controlled, rail traffic is coordinated and scheduled, and early warning and processing are performed on emergency time.
7. An urban traffic CIM system based on V2X technology, characterized by comprising an urban traffic CIM system applying the data display method of any one of claims 1-6, wherein the urban traffic CIM system comprises a data acquisition unit, a data processing unit, a system function unit and a scene display unit; the data acquisition unit comprises a CIM data acquisition end and a V2X scene data acquisition end.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114925056A (en) * | 2022-06-06 | 2022-08-19 | 江苏城乡空间规划设计研究院有限责任公司 | Traffic visualization method and system based on space constraint clustering |
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| CN114925056A (en) * | 2022-06-06 | 2022-08-19 | 江苏城乡空间规划设计研究院有限责任公司 | Traffic visualization method and system based on space constraint clustering |
| CN114925056B (en) * | 2022-06-06 | 2024-06-28 | 江苏城乡空间规划设计研究院有限责任公司 | Traffic visualization method and system based on space constraint clustering |
| CN115512546A (en) * | 2022-10-08 | 2022-12-23 | 河南博汇智能科技有限公司 | Intelligent high-speed traffic flow active management method and device and electronic equipment |
| CN116110225A (en) * | 2023-03-01 | 2023-05-12 | 北京图安世纪科技股份有限公司 | Vehicle-road cooperative cloud control system and method based on digital twin |
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