CN112702692A - Road condition information providing method based on intelligent traffic system and intelligent traffic system - Google Patents
Road condition information providing method based on intelligent traffic system and intelligent traffic system Download PDFInfo
- Publication number
- CN112702692A CN112702692A CN202011494250.7A CN202011494250A CN112702692A CN 112702692 A CN112702692 A CN 112702692A CN 202011494250 A CN202011494250 A CN 202011494250A CN 112702692 A CN112702692 A CN 112702692A
- Authority
- CN
- China
- Prior art keywords
- road
- condition information
- road condition
- traffic
- vehicle
- 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
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Traffic Control Systems (AREA)
Abstract
The embodiment of the invention provides a road condition information providing method based on an intelligent traffic system and the intelligent traffic system, wherein the method comprises the following steps: the intelligent traffic road side unit generates local road condition information according to the collected real-time road data and sends the local road condition information to the mobile edge computing platform; the mobile edge computing platform generates global road condition information according to the local road condition information sent by the intelligent traffic road side unit; and the mobile edge computing platform selects target road condition information from the global road condition information and sends the target road condition information to the vehicle through a mobile communication public network. And the vehicle can receive the target road condition information generated by the intelligent traffic system through a mobile communication public network under the condition that the vehicle does not have the vehicle-mounted unit. Meanwhile, the target road condition information is generated based on the global road condition information, and the target road condition information can have richer road condition information than local road condition information, so that the overall situation of the current road can be known more comprehensively, and the real-time performance is better.
Description
Technical Field
The invention relates to the technical field of traffic, in particular to a road condition information providing method based on an intelligent traffic system and the intelligent traffic system.
Background
In the prior art, when a Vehicle runs on a road, the real-time road conditions of the road, such as whether the road is congested or not, whether a traffic accident occurs on the road or not, may be generally known through a Vehicle-mounted navigation system and a mobile phone APP navigation system or an LTE-V2X (Long Term Evolution-Vehicle to Evolution) Vehicle networking.
However, the road condition obtained by the navigation system is usually updated less frequently and depends more on the driving state transmitted by the vehicle with the positioning function, so that the road condition in the navigation system may be different from the actual road condition, and the real-time road condition information cannot be provided; meanwhile, due to the positioning precision, real-time information of the accurate road at the lane level cannot be prompted. Obtaining the road condition through the V2X internet of vehicles usually requires installing an On-Board Unit (OBU) corresponding to the internet of vehicles in the vehicle, and the road condition can be obtained through the internet of vehicles, resulting in the limitation of the transmission range of the road condition information.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are provided to provide an intelligent transportation system-based traffic information providing method and an intelligent transportation system that overcome or at least partially solve the above problems.
In order to solve the problems, the embodiment of the invention discloses a road condition information providing method based on an intelligent traffic system, wherein the intelligent traffic system comprises an intelligent traffic road side unit and a mobile edge computing platform; the method comprises the following steps:
the intelligent traffic road side unit generates local road condition information according to the collected real-time road data and sends the local road condition information to the mobile edge computing platform;
the mobile edge computing platform generates global road condition information according to the local road condition information sent by the intelligent traffic road side unit;
and the mobile edge computing platform selects target road condition information from the global road condition information and sends the target road condition information to the vehicle through a mobile communication public network.
Optionally, the step of generating local road condition information by the intelligent traffic road side unit according to the collected real-time road data includes:
the intelligent traffic road side unit determines at least one of road flow, road average speed and barrier moving track of a road section corresponding to the intelligent traffic road side unit according to the collected real-time road data;
and the intelligent traffic road side unit generates local road condition information by adopting at least one of the traffic flow, the vehicle speed and the barrier movement track of the road section.
Optionally, the step of generating local road condition information by the intelligent traffic road side unit using at least one of a traffic flow, a vehicle speed, and an obstacle movement trajectory of the road section includes:
the intelligent traffic road side unit generates local road condition information by adopting at least one of the traffic flow, the vehicle speed and the barrier movement track of the road section and preset real-time environment data; the real-time environment data includes at least one of map data, traffic management facility data, and traffic signal data.
Optionally, the method further comprises:
the mobile edge computing platform predicts road condition changes in a preset time period according to the global road condition information to generate dynamic road condition information;
the mobile edge computing platform selects target dynamic road condition information around the vehicle from the dynamic road condition information according to the current position of the vehicle;
and the mobile edge computing platform sends the target dynamic road condition information to the vehicle.
Optionally, the method further comprises:
the mobile edge computing platform predicts whether the road risk exists in the road according to the dynamic road condition information;
and under the condition that the road risk exists in the road, the mobile edge computing platform sends risk prompt information to the vehicle associated with the road risk.
Optionally, the step of selecting, by the mobile edge computing platform, target traffic information from the global traffic information, and sending the target traffic information to a vehicle through a mobile communication public network includes:
and the mobile edge computing platform selects target road condition information from the global road condition information and sends the target road condition information to the vehicle through a communication edge node in a mobile communication public network.
The embodiment of the invention also provides an intelligent traffic system, which comprises an intelligent traffic road side unit and a mobile edge computing platform;
the intelligent traffic road side unit is used for generating local road condition information according to the collected real-time road data and sending the local road condition information to the mobile edge computing platform;
the mobile edge computing platform is used for generating global road condition information according to the local road condition information sent by the intelligent traffic road side unit; and the mobile edge computing platform selects target road condition information from the global road condition information and sends the target road condition information to the vehicle through a mobile communication public network.
Optionally, the intelligent traffic roadside unit is specifically configured to determine at least one of a road flow, a road average speed, and an obstacle movement track of a road section corresponding to the intelligent traffic roadside unit according to the collected real-time road data; and generating local road condition information by adopting at least one of the traffic flow, the vehicle speed and the barrier movement track of the road section.
Optionally, the intelligent traffic road side unit is specifically configured to generate local road condition information by using at least one of a traffic flow, a vehicle speed, and an obstacle movement trajectory of the road section, and preset real-time environment data; the real-time environment data includes at least one of map data, traffic management facility data, and traffic signal data.
Optionally, the mobile edge computing platform is further configured to predict road condition changes within a preset time period according to the global road condition information, and generate dynamic road condition information; selecting target dynamic road condition information around the vehicle from the dynamic road condition information according to the current position of the vehicle; and sending the target dynamic road condition information to the vehicle.
Optionally, the mobile edge computing platform is further configured to predict whether a road risk exists in the road according to the dynamic road condition information; and under the condition that the road risk exists in the road, the mobile edge computing platform sends risk prompt information to the vehicle associated with the road risk.
Optionally, the mobile edge computing platform is specifically configured to select target traffic information from the global traffic information, and send the target traffic information to a vehicle through a communication edge node in a mobile communication public network.
The embodiment of the invention also discloses an electronic device, which comprises:
one or more processors; and
one or more machine-readable media having instructions stored thereon, which when executed by the one or more processors, cause the electronic device to perform one or more methods as described in embodiments of the invention.
Embodiments of the invention also disclose one or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause the processors to perform one or more methods as described in embodiments of the invention.
The embodiment of the invention has the following advantages:
according to the road condition providing method provided by the embodiment of the invention, the intelligent traffic road side unit generates local road condition information according to the collected real-time road data and sends the local road condition information to the mobile edge computing platform; the mobile edge computing platform generates global road condition information according to the local road condition information sent by the intelligent traffic road side unit; and the mobile edge computing platform selects target road condition information from the global road condition information and sends the target road condition information to the vehicle through a mobile communication public network. Therefore, the road condition information generated by the intelligent traffic system can be sent to the vehicle through the mobile communication public network, the vehicle can receive the target road condition information generated by the intelligent traffic system through the mobile communication public network under the condition that the vehicle does not have an on-board unit, meanwhile, after the mobile edge computing platform generates the global road condition information based on the local road condition information sent by the intelligent traffic road side unit, the target road condition information is selected from the global road condition information and sent to the vehicle, and therefore the vehicle can receive the road condition information richer than the local road condition information, the overall condition of the current road can be known more comprehensively, the updating efficiency is high, and the real-time performance is better.
Drawings
Fig. 1 is a flowchart illustrating steps of a road condition information providing method based on an intelligent transportation system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an intelligent transportation system of an embodiment of the present invention;
fig. 3 is a flowchart illustrating steps of another road condition information providing method based on an intelligent transportation system according to an embodiment of the present invention;
fig. 4 is a block diagram of an intelligent transportation system of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
In the embodiment of the invention, the intelligent traffic road side unit in the intelligent traffic system can send road condition information to the vehicle provided with the vehicle-mounted unit without the need of the internet of vehicles, and after the intelligent traffic road side unit collects the real-time road data, the intelligent traffic road side unit can generate local road condition information based on the real-time road data and send the local road condition information to the mobile edge computing platform. And generating global road condition information by the mobile edge computing platform according to the local road condition information sent by the intelligent traffic road side unit, then selecting target road condition information from the global road condition information, and sending the target road condition information to the vehicle through a mobile communication public network. Therefore, under the condition that the vehicle does not have the vehicle-mounted unit, the target road condition information generated by the intelligent traffic information can be received through the mobile communication public network. In addition, under the condition of sending road condition information to the vehicle based on the internet of vehicles, the vehicle can only obtain local road condition information obtained by the intelligent traffic road side unit based on real-time road data acquired by the intelligent traffic road side unit because the road condition information is sent by the intelligent traffic road side unit, and thus the vehicle can only obtain the road condition information in a smaller range. And the road condition information sent to the vehicle by the mobile edge computing platform is generated based on the global road condition information, so that the vehicle can obtain richer and more accurate road condition information, and the vehicle can more stably run on the road.
Referring to fig. 1, a flowchart of steps of a road condition information providing method based on an intelligent transportation system according to an embodiment of the present invention is shown, where the intelligent transportation system includes an intelligent transportation road side unit and a mobile edge computing platform.
In the embodiment of the invention, an intelligent transportation system can be provided, and the intelligent transportation system can comprise an intelligent transportation road side unit and a mobile edge computing platform.
The intelligent traffic Road Side Unit (RSU) may be disposed at a Side of a Road, and is configured to collect real-time Road data, such as real-time video stream, real-time radar obstacle data, and process the real-time Road data.
The mobile edge computing platform (DRC) may be disposed in a peripheral area of the intelligent drive test unit, and is configured to manage the intelligent traffic drive test unit in a preset area, and process data sent from the intelligent traffic road side unit in the preset area.
The method may specifically comprise the steps of:
in the embodiment of the invention, the intelligent traffic road side unit can be provided with real-time acquisition equipment for acquiring real-time road data. For example, the location of obstacles such as vehicles, pedestrians, etc. in a road segment in which road surface events such as traffic accidents, road maintenance events, etc. may exist.
In the embodiment of the present invention, in order to improve the processing efficiency of the mobile edge computing platform, the intelligent traffic roadside unit may perform preliminary processing on the acquired real-time road data, generate local road condition information according to the acquired real-time road data, and send the local road condition information to the mobile edge platform, so that the mobile edge platform may further process the local road condition information.
The local road condition information may include road condition information such as position information of obstacles in a road section, road event information, road average speed information, and road traffic information, which may be captured by the intelligent traffic road side unit, which is not limited in this respect.
In a specific implementation, the intelligent traffic roadside unit and the mobile edge computing platform may be connected by an optical fiber. The mobile edge computing platform and the intelligent traffic road side unit can be respectively provided with a photoelectric switch, and the intelligent traffic road side unit is connected with the photoelectric switch through optical fiber coupling. After the intelligent traffic road side unit generates local road condition information, the intelligent traffic road side unit can convert an electric signal into an optical signal through a photoelectric switch and send the optical signal to the photoelectric switch on one side of the mobile edge computing platform through an optical fiber. The photoelectric switch converts the optical signals into electric signals and sends the electric signals to the mobile edge computing platform, so that the intelligent traffic road side unit can send local road condition information generated based on real-time road data to the mobile edge computing platform at a high speed.
102, the mobile edge computing platform generates global road condition information according to the local road condition information sent by the intelligent traffic road side unit;
in the embodiment of the present invention, the mobile edge computing platform may obtain local traffic information sent by at least one intelligent traffic road side unit, and generate global traffic information of the preset area based on the local traffic information of the local road section sent by the intelligent traffic road side unit, so as to obtain the overall traffic information of the preset area.
The global traffic information may include road condition information such as obstacle position information, road surface event information, road average speed information, and road traffic information in a preset area, which is not limited in the present invention.
In a specific implementation, the mobile edge computing platform may store the position information of the intelligent traffic roadside unit and the road section that can be photographed, so that after the mobile edge computing platform acquires the local road condition information sent by the intelligent traffic roadside unit, the local road condition information may be integrated based on the position information of the intelligent traffic roadside unit and the road section that can be photographed, thereby obtaining global road condition information of a preset area and obtaining a real-time road condition of the whole preset area.
And 103, selecting target road condition information from the global road condition information by the mobile edge computing platform, and sending the target road condition information to a vehicle through a mobile communication public network.
In the embodiment of the present invention, after the mobile edge computing platform generates the global traffic information, the mobile edge computing platform may prepare to send traffic information to a vehicle. Therefore, the mobile edge computing platform can select target road condition information from the global road condition information and send the target road condition information to the vehicle through a mobile communication public network. Therefore, the vehicle can acquire the road condition information and know the real-time condition of the current road under the condition that the vehicle-mounted unit is not installed. Meanwhile, the target road condition information is generated based on the global road condition information, so that the vehicle can obtain road condition information richer than local road condition information directly transmitted by the intelligent traffic road side unit through the internet of vehicles.
In a specific implementation, the mobile edge computing platform may select, based on a current position of the vehicle, traffic information in a range around the vehicle from the global traffic information, as the target traffic information. The global traffic information may also be used as the target traffic information. And selecting the road condition information of the road range concerned by the vehicle driver as the target road condition information according to actual requirements. For example, the road range through which the navigation driving route passes, the road range at the destination of the navigation driving route, the road range specified by the driver, etc., which are not limited by the present invention.
As an example of the present invention, the global traffic information includes position information of obstacles such as pedestrians and vehicles, so that the mobile edge computing platform can search, in the global traffic information, a position of a vehicle where the target traffic information needs to be sent, as a current position of the vehicle. And then selecting target road condition information around the vehicle from the global road condition information according to the current position of the vehicle.
The target traffic information may be traffic information within a range of 10 meters around the vehicle, may also be traffic information within a range of 50 meters around the vehicle, and may also be the global traffic information, which is not limited in this respect.
In a specific implementation, the mobile edge computing platform may send the target traffic information to the vehicle through a mobile communication public network. Meanwhile, the mobile edge computing platform can be arranged at the rear end of the mobile communication public network, so that the target road condition information can be sent to the vehicle stably and at a high speed.
Optionally, in a scene that the demand for instantaneity of the target road condition information is high, such as that the automatically driven vehicle needs to adopt the target road condition information to assist in driving decision, the target road condition information can be sent to the vehicle through a 5G public network, so that the instantaneity of the target road condition information is ensured. For a scene with a slightly low requirement on instantaneity, such as driving navigation, if the vehicle is not provided with a 5G communication module, a 4G communication module can be adopted to send the target road condition information to the vehicle. The vehicle can receive the target road condition information through in-vehicle navigation or a mobile device with a navigation function in the vehicle.
Therefore, the intelligent traffic road side unit can keep high updating frequency to collect real-time road data and generate local road condition information, and the local road condition information is sent to the mobile edge computing platform through optical fiber transmission. And then, the mobile edge computing platform generates global road condition information according to the local road condition information, and can quickly send the target road condition information to the vehicle through a mobile communication public network after selecting the target road condition information from the global road condition information, so that the vehicle can receive real-time road condition information with high updating frequency, and the real-time road condition can be known more quickly and comprehensively.
Fig. 2 is a schematic diagram of an intelligent transportation system according to the present invention, which may include an intelligent transportation road side unit 201, a mobile edge computing platform 202, as an example of the present invention. The intelligent traffic roadside unit 201 may collect real-time road data, generate local road condition information, and send the local road condition information to the mobile edge computing platform 202, and the mobile edge computing platform 202 may generate global road condition information according to the local road condition information sent by the intelligent traffic roadside unit 201, and then, for a vehicle 204, select target road condition information around the vehicle in the global road condition information according to the current position of the vehicle, and send the target road condition information to the vehicle 204 through the mobile communication public network 203.
According to the road condition providing method provided by the embodiment of the invention, the intelligent traffic road side unit generates local road condition information according to the collected real-time road data and sends the local road condition information to the mobile edge computing platform; the mobile edge computing platform generates global road condition information according to the local road condition information sent by the intelligent traffic road side unit; and the mobile edge computing platform selects target road condition information from the global road condition information and sends the target road condition information to the vehicle through a mobile communication public network. Therefore, the road condition information generated by the intelligent traffic system can be sent to the vehicle through the mobile communication public network, the vehicle can receive the target road condition information generated by the intelligent traffic system through the mobile communication public network under the condition that the vehicle does not have an on-board unit, meanwhile, after the mobile edge computing platform generates the global road condition information based on the local road condition information sent by the intelligent traffic road side unit, the target road condition information is selected from the global road condition information and sent to the vehicle, and therefore the vehicle can receive the road condition information richer than the local road condition information, the overall condition of the current road can be known more comprehensively, the updating efficiency is high, and the real-time performance is better.
Referring to fig. 3, a flowchart illustrating steps of an embodiment of a road condition information providing method based on an intelligent transportation system according to the present invention is shown, where the intelligent transportation system includes an intelligent transportation road side unit and a mobile edge computing platform.
The method may specifically comprise the steps of:
in the embodiment of the invention, the intelligent road side unit can be provided with real-time acquisition equipment for acquiring real-time road data.
In a specific implementation, the real-time acquisition device may be a network camera, a long-focus camera, a short-focus camera, a millimeter wave radar, a rain gauge, a thermometer, a hygrometer, or the like, which can acquire the state of the road section. The real-time road data collected by the real-time collecting device may include a real-time video stream of a road section, a real-time position of an obstacle such as a vehicle or a pedestrian in the road section, a moving track of the obstacle generated based on the real-time position of the obstacle in a period of time, and meteorological information such as rainfall, temperature, humidity, and the like of the road section.
In the embodiment of the invention, the intelligent traffic road side unit can determine at least one of road flow, road average speed and obstacle moving track of the road section corresponding to the intelligent traffic road side unit according to the collected real-time road data.
In a specific implementation, the intelligent traffic road side unit may determine at least one of a road flow, a road average speed, and an obstacle movement track of a road section corresponding to the intelligent traffic road side unit according to real-time road data acquired within a period of time. Specifically, the road flow of the road section can be estimated according to the change of the number of vehicles of the road section in a period of time. The average speed of the road can also be determined according to the vehicle position change of the road section in a period of time, and meanwhile, the movement track of the barrier can also be generated according to the vehicle position change. Or the millimeter wave radar processes the real-time positions of the collected obstacles such as vehicles, pedestrians and the like in the road section within a period of time, generates the moving track of the obstacles and then sends the moving track of the obstacles to the intelligent traffic road side unit.
In the embodiment of the present invention, after the intelligent traffic roadside unit acquires information such as a traffic flow, a vehicle speed, a barrier movement track, and the like of the road section, local road condition information may be generated by using at least one of the traffic flow, the vehicle speed, and the barrier movement track of the road section, so that the intelligent traffic roadside unit may perform preliminary fusion on the real-time road data to generate local road condition information, and may reduce pressure for transmitting data to the mobile edge platform, improve data transmission efficiency, and further improve real-time performance of the local road condition information. Meanwhile, the processing pressure of the mobile edge computing platform for subsequently generating the global road condition information can be reduced.
In an embodiment of the present invention, the step of generating local traffic information by the intelligent traffic road side unit using at least one of a traffic flow, a vehicle speed, and an obstacle moving trajectory of the road section includes:
s11, the intelligent traffic road side unit generates local road condition information by adopting at least one of the traffic flow, the vehicle speed and the barrier movement track of the road section and preset real-time environment data; the real-time environment data includes at least one of map data, traffic management facility data, and traffic signal data.
In the embodiment of the present invention, after the intelligent traffic road side unit acquires the real-time road data, the real-time road data may be fused with the existing real-time environment data, so as to generate local road condition information that can show the real-time road condition and the real-time environment data in a map.
Therefore, the intelligent traffic road side unit can generate local road condition information by adopting at least one of the traffic flow, the vehicle speed and the barrier movement track of the road section and preset real-time environment data. Wherein the real-time environment data may include at least one of map data, traffic management facility data, traffic signal data.
In specific implementation, radar data acquired by a millimeter wave radar and a real-time video stream acquired by a camera can be fused to construct a three-dimensional image, point cloud data in the three-dimensional image can be identified and captured, and fused with real-time environment data to generate a local dynamic map, and at least one of traffic flow, vehicle speed and barrier movement track of a road section can be determined in the local dynamic map to obtain local road condition information including real-time road conditions and real-time environment data.
In a specific implementation, the information in the local traffic information may be divided into several levels.
The first level is a persistent static data layer, which may include data such as map data that may be updated less frequently. The basic road data included in the map data does not substantially change, and thus, the update can be performed with a low frequency. For example, once a month, once a half month, half year, etc. The map data may be identified and updated in the road video stream collected in real time, or may be map data provided by an existing map data provider, or may be collected separately, which is not limited in the present invention.
The second level is a semi-static data layer, which may include traffic management facility data such as traffic signs, markings, guardrails, temporary landmarks, and other traffic management related devices. The traffic management facilities typically do not change frequently in short periods of time and may update the data at a periodic, periodic rate. E.g., once every hour, once every two hours, etc. The traffic management facility data may be identified and updated in the road video stream collected in real time, or may be collected in addition, which is not limited in the present invention.
The third level is a semi-dynamic data layer, which may include traffic signal data such as signal lamp color (phase, timing), and status processes such as traffic jam, traffic accident, and other traffic events, as well as traffic flow and vehicle speed. The information such as traffic flow, vehicle speed, traffic signal data, traffic jam condition, traffic accident condition, other traffic events and other state processes can be changed continuously with higher frequency, so that the related data can be updated with higher frequency. E.g., once every minute, once every 30 seconds, etc. The traffic signal data, the traffic jam condition, the traffic accident condition, other traffic events and other state processes and other information may be identified and updated in the road video stream acquired in real time, or the intelligent traffic roadside unit may be in communication connection with the traffic signal lamp, so that the intelligent traffic roadside unit may directly acquire the traffic signal data or may additionally acquire the traffic signal data, which is not limited in the present invention.
The fourth level is a highly dynamic data layer, which may include data such as obstacle movement trajectories. Since obstacles on the road move continuously at a high frequency, it is necessary to continuously acquire the real-time position of the obstacle in the real-time road data. And continuously updating the movement trajectory of the obstacle based on the real-time position of the obstacle. So that the relevant data can be updated with a very high frequency. E.g., once per second, once every half second, etc. Data such as the moving track of the obstacle may be identified and updated in the road video stream and the radar data collected in real time, or may be collected separately, which is not limited in the present invention.
in the embodiment of the present invention, in order to improve the processing efficiency of the mobile edge computing platform, the intelligent traffic roadside unit may perform preliminary processing on the acquired real-time road data, generate local road condition information according to the acquired real-time road data, and send the local road condition information to the mobile edge platform, so that the mobile edge platform may further process the local road condition information.
in the embodiment of the present invention, the mobile edge computing platform may obtain local traffic information sent by at least one intelligent traffic road side unit, and generate global traffic information of the preset area based on the local traffic information of the local road section sent by the intelligent traffic road side unit, so as to obtain the overall traffic information of the preset area.
The global traffic information may include road condition information such as obstacle position information, road surface event information, road average speed information, and road traffic information in a preset area, which is not limited in the present invention.
In a specific implementation, the mobile edge computing platform may store the position information of the intelligent traffic roadside unit and the road section that can be photographed, so that after the mobile edge computing platform acquires the local road condition information sent by the intelligent traffic roadside unit, the local road condition information may be integrated based on the position information of the intelligent traffic roadside unit and the road section that can be photographed, thereby obtaining global road condition information of a preset area and obtaining a real-time road condition of the whole preset area.
In a specific implementation, an intelligent transportation Cloud management platform (CRM) may be disposed in the intelligent transportation system, and the CRM may be configured to manage the mobile edge computing platform and the intelligent transportation roadside unit, and is responsible for registering, processing parameter configuration, querying parameters, and managing device versions for the mobile edge computing platform and the intelligent transportation roadside unit. Meanwhile, the intelligent traffic cloud management platform can also have log recording and query functions, and the logs can include event logs, positioning logs and operation maintenance. The intelligent traffic cloud management platform can also manage the system position, the physical position and the functional position of the mobile edge computing platform and the intelligent traffic road side unit, and query and manage dynamic data generated by the operation of the mobile edge computing platform and the intelligent traffic road side unit. Meanwhile, the intelligent traffic cloud management platform can have functions of monitoring data and setting alarm rules, and can manage and monitor the running states of the mobile edge computing platform and the intelligent traffic road side unit in real time. For example, the mobile edge computing platform is notified to process and calibrate the data of the intelligent traffic roadside unit, and the like.
And 305, selecting target road condition information from the global road condition information by the mobile edge computing platform, and sending the target road condition information to a vehicle through a mobile communication public network.
In the embodiment of the present invention, after the mobile edge computing platform generates the global traffic information, the mobile edge computing platform may prepare to send traffic information to a vehicle. Therefore, the mobile edge computing platform can select target road condition information from the global road condition information and send the target road condition information to the vehicle through a mobile communication public network. Therefore, the vehicle can acquire the road condition information and know the real-time condition of the current road under the condition that the vehicle-mounted unit is not installed. Meanwhile, the target road condition information is generated based on the global road condition information, so that the vehicle can obtain road condition information richer than local road condition information directly transmitted by the intelligent traffic road side unit through the internet of vehicles.
In a specific implementation, the mobile edge computing platform may send the target traffic information to the vehicle through a mobile communication public network. Meanwhile, the mobile edge computing platform can be arranged at the rear end of the mobile communication public network, so that the target road condition information can be sent to the vehicle stably and at a high speed.
Therefore, the intelligent traffic road side unit can keep high updating frequency to collect real-time road data and generate local road condition information, and the local road condition information is sent to the mobile edge computing platform through optical fiber transmission. And then, the mobile edge computing platform generates global road condition information according to the local road condition information, and can quickly send the target road condition information to the vehicle through a mobile communication public network after selecting the target road condition information from the global road condition information, so that the vehicle can receive real-time road condition information with high updating frequency, and the real-time road condition can be known more quickly and comprehensively.
In an embodiment of the present invention, the step of selecting, by the mobile edge computing platform, target traffic information from the global traffic information and sending the target traffic information to a vehicle through a mobile communication public network includes:
and S21, the mobile edge computing platform selects target road condition information from the global road condition information and sends the target road condition information to the vehicle through a communication edge node in a mobile communication public network.
In the embodiment of the present invention, the Mobile communication public network may include at least one Mobile Edge Computing (MEC).
Specifically, the mobile communication public network may include a core network and a base station communicatively connected to the core network. Generally, when a terminal needs to communicate with another terminal, it needs to send data to a base station, and then the base station forwards the data sent by the terminal to a core network, and the core network forwards the data to the base station that can communicate with the other terminal, and the base station forwards the data to the other terminal. Thereby completing communication between the terminals. However, since the distance between the core network and the base station is long, there may be a large time delay when data transmission is performed in this manner. Thereby, at least one communication edge node can be arranged in the mobile communication public network. The communication edge node may be disposed at the back end of a certain base station, or disposed between the core network and the base station, and is closer to the base station, so that the communication edge node may communicate with a plurality of neighboring base stations at the same time.
Therefore, when the mobile edge computing platform needs to send the target road condition information to the vehicle through the mobile communication public network, the target road condition information can be sent to the vehicle through the communication edge nodes in the mobile communication public network, so that the target road condition information does not need to be sent to a core network, and the real-time performance of the road condition information is further improved.
Under the condition that the communication edge node is arranged at the rear end of the base station, the mobile edge computing platform can send the target road condition information to the communication edge node at the rear end of the nearby base station with lower time delay, and the communication edge node can also send the target road condition information to the vehicle in the communication range of the base station with lower time delay, so that the time required for sending the real-time road condition information to the vehicle can be further reduced, and the road condition information obtained by the vehicle can have better real-time performance.
Under the condition that the communication edge node is arranged between the core network and the base station, the mobile edge computing platform can send the target road condition information to a nearby base station with lower time delay, and the base station can send the target road condition information to an adjacent communication edge node with the same lower time delay. The communication edge node can search the base station corresponding to the position of the vehicle in a plurality of adjacent base stations communicated with the communication edge node, and send the target road condition information to the base station corresponding to the position of the vehicle, and the target road condition information is sent to the vehicle by the communication edge node. Because the distance between the communication edge node and the base station is obviously shorter than the distance between the core network and the base station, the time required for sending the real-time road condition information to the vehicle can be well reduced, and the road condition information obtained by the vehicle can have better real-time property.
In one embodiment of the invention, the method further comprises:
s31, the mobile edge computing platform predicts the road condition change in a preset time period according to the global road condition information to generate dynamic road condition information;
in the embodiment of the present invention, the intelligent traffic roadside unit may send the local traffic information to the mobile edge computing platform at a higher frequency, so that the mobile edge computing platform may also update the global traffic information at a higher frequency and send the global traffic information to the vehicle in real time. However, in the data transmission process, time delay still occurs to some extent, so that the global traffic information finally received by the vehicle is delayed to some extent. Meanwhile, the vehicles possibly have traffic risks affecting the normal running of the vehicles on the current road, and the vehicles need to be informed in time to avoid the risks, so that the safe running is ensured.
Therefore, after the mobile edge computing platform acquires the global traffic information, the mobile edge computing platform can predict traffic change in a preset time period according to the global traffic information to generate dynamic traffic information. Therefore, the real-time global road condition information can be acquired, and meanwhile, the road condition change in a future period can be further predicted, so that richer road condition information can be provided for the vehicle, and the driving safety of the vehicle is improved.
The preset time period may be determined according to actual needs, for example, 10 seconds, 30 seconds, 1 minute, 5 minutes, and the like, which is not limited in the present invention.
In a specific implementation, the mobile edge computing platform may predict the obstacle movement trajectory in the global traffic information by using a trajectory prediction algorithm according to at least one of a traffic flow, a vehicle speed, and an obstacle movement trajectory in the global traffic information, so as to obtain a traffic change in a preset time period and generate dynamic traffic information.
The track preset algorithm may be a track prediction algorithm based on a markov model, a track prediction algorithm based on a gaussian mixture model, and the like, which is not limited in the present invention.
S32, selecting target dynamic road condition information around the vehicle from the dynamic road condition information by the mobile edge computing platform according to the current position of the vehicle;
in the embodiment of the invention, in order to enable a vehicle to receive dynamic road condition information for predicting road condition changes in a peripheral area of the vehicle, so that the vehicle can better run on a road, the mobile edge computing platform can select target dynamic road condition information around the vehicle from the dynamic road condition information according to the current position of the vehicle.
The target dynamic traffic information may be dynamic traffic information within a range of 10 meters around the vehicle, may also be dynamic traffic information within a range of 50 meters around the vehicle, and may also be the global dynamic traffic information, which is not limited in the present invention.
And S33, the mobile edge computing platform sends the target dynamic road condition information to the vehicle.
In the embodiment of the present invention, the mobile edge computing platform may send the target dynamic traffic information to the vehicle. Therefore, the vehicle can receive the target road condition information with higher real-time performance and also can receive the target dynamic road condition information for predicting the moving track of the barrier, so that the vehicle can know the current road condition and adjust the running route of the vehicle according to the possible road condition change in a period of time in the future, and the vehicle can run on the road more safely and quickly.
In one embodiment of the invention, the method further comprises:
s41, the mobile edge computing platform predicts whether the road risks exist in the road according to the dynamic road condition information;
in the embodiment of the invention, the mobile edge computing platform can predict whether road risks such as collision accidents, road congestion, road construction and the like exist in the road according to the predicted barrier moving track in the dynamic road condition information, the collected road surface events and the like.
In particular implementations, the moving edge computing platform may determine whether a predicted obstacle movement trajectory stagger exists in the road, and may thereby determine whether an obstacle-to-obstacle collision event may exist in the road. The mobile edge computing platform may also determine whether the predicted movement trajectory of the obstacle in the road overlaps with infrastructure such as railings, signal lights, etc., thereby determining whether a collision accident between the obstacle and the infrastructure exists in the road. The mobile edge computing platform may also determine whether there is a vehicle aggregation in the road according to the movement track of the obstacle, so as to determine whether the road is likely to be congested. The mobile edge computing platform can also determine whether a vehicle approaches a road surface event occurrence place or not according to the movement track of the obstacle and the collected road surface events such as road construction and facility faults, so as to determine whether the vehicle is about to be influenced by the road surface event and cannot drive normally or not.
S42, in the case of road risk, the mobile edge computing platform sends risk prompt information to the vehicle associated with the road risk.
In the embodiment of the present invention, when the edge computing platform determines that there is a road risk in the road, the edge computing platform may send risk prompting information to a vehicle associated with the road risk, and actively prompt the vehicle to pay attention to avoiding the risk. For the vehicle, the risk prompting information can be used for knowing the sight range of a driver in the vehicle and the risk outside the sensing range of a sensor arranged in the vehicle, so that the vehicle can run on the road more safely and smoothly.
According to the road condition providing method provided by the embodiment of the invention, the intelligent traffic road side unit determines at least one of road flow, road average speed and obstacle moving track of the road section corresponding to the intelligent traffic road side unit according to the collected real-time road data; and the intelligent traffic road side unit generates local road condition information by adopting at least one of the traffic flow, the vehicle speed and the barrier movement track of the road section. The intelligent traffic road side unit sends the local road condition information to the mobile edge computing platform; the mobile edge computing platform generates global road condition information according to the local road condition information sent by the intelligent traffic road side unit; the mobile edge computing platform selects target road condition information around the vehicle from the global road condition information according to the current position of the vehicle; and the mobile edge computing platform sends the target road condition information to the vehicle. Therefore, the road condition information generated by the intelligent traffic system can be sent to the vehicle through the mobile communication public network, the vehicle can receive the target road condition information generated by the intelligent traffic system through the mobile communication public network under the condition that the vehicle does not have an on-board unit, meanwhile, after the mobile edge computing platform generates the global road condition information based on the local road condition information sent by the intelligent traffic road side unit, the target road condition information is selected from the global road condition information and sent to the vehicle, and therefore the vehicle can receive the road condition information richer than the local road condition information, the overall condition of the current road can be known more comprehensively, the updating efficiency is high, and the real-time performance is better.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 4, a block diagram of an embodiment of an intelligent transportation system 400 according to the present invention is shown, wherein the intelligent transportation system 400 includes an intelligent transportation road side unit 401 and a mobile edge computing platform 402;
the intelligent traffic road side unit 401 is configured to generate local road condition information according to the collected real-time road data, and send the local road condition information to the mobile edge computing platform;
the mobile edge computing platform 402 is configured to generate global traffic information according to the local traffic information sent by the intelligent traffic roadside unit; selecting target road condition information around the vehicle from the global road condition information according to the current position of the vehicle; and sending the target road condition information to the vehicle.
In an embodiment of the present invention, the intelligent traffic roadside unit is specifically configured to determine at least one of a road flow, a road average speed, and an obstacle movement track of a road section corresponding to the intelligent traffic roadside unit according to the collected real-time road data; and generating local road condition information by adopting at least one of the traffic flow, the vehicle speed and the barrier movement track of the road section.
In an embodiment of the present invention, the intelligent traffic road side unit is specifically configured to generate local road condition information by using at least one of a traffic flow, a vehicle speed, and a barrier movement trajectory of the road section, and preset real-time environment data; the real-time environment data includes at least one of map data, traffic management facility data, and traffic signal data.
In an embodiment of the present invention, the mobile edge computing platform is further configured to predict traffic change within a preset time period according to the global traffic information, and generate dynamic traffic information; selecting target dynamic road condition information around the vehicle from the dynamic road condition information according to the current position of the vehicle; and sending the target dynamic road condition information to the vehicle.
In an embodiment of the present invention, the mobile edge computing platform is further configured to predict whether a road risk exists in a road according to the dynamic road condition information; and under the condition that the road risk exists in the road, the mobile edge computing platform sends risk prompt information to the vehicle associated with the road risk.
In an embodiment of the present invention, the mobile edge computing platform is specifically configured to select target traffic information from the global traffic information, and send the target traffic information to a vehicle through a communication edge node in a mobile communication public network.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
An embodiment of the present invention further provides an electronic device, including:
one or more processors; and
one or more machine-readable media having instructions stored thereon, which when executed by the one or more processors, cause the electronic device to perform methods as described in embodiments of the invention.
Embodiments of the invention also provide one or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause the processors to perform the methods described in embodiments of the invention.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The method for providing road condition information based on the intelligent traffic system and the intelligent traffic system are introduced in detail, and a specific example is applied to explain the principle and the implementation mode of the method, and the description of the embodiment is only used for helping to understand the method and the core idea of the method; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A road condition information providing method based on an intelligent traffic system is characterized in that the intelligent traffic system comprises an intelligent traffic road side unit and a mobile edge computing platform; the method comprises the following steps:
the intelligent traffic road side unit generates local road condition information according to the collected real-time road data and sends the local road condition information to the mobile edge computing platform;
the mobile edge computing platform generates global road condition information according to the local road condition information sent by the intelligent traffic road side unit;
and the mobile edge computing platform selects target road condition information from the global road condition information and sends the target road condition information to the vehicle through a mobile communication public network.
2. The method according to claim 1, wherein the step of generating local traffic information by the intelligent traffic roadside unit according to the collected real-time road data comprises:
the intelligent traffic road side unit determines at least one of road flow, road average speed and barrier moving track of a road section corresponding to the intelligent traffic road side unit according to the collected real-time road data;
and the intelligent traffic road side unit generates local road condition information by adopting at least one of the traffic flow, the vehicle speed and the barrier movement track of the road section.
3. The method according to claim 2, wherein the step of generating local traffic information by the intelligent traffic road side unit using at least one of traffic flow, vehicle speed, and obstacle movement trajectory of the road section comprises:
the intelligent traffic road side unit generates local road condition information by adopting at least one of the traffic flow, the vehicle speed and the barrier movement track of the road section and preset real-time environment data; the real-time environment data includes at least one of map data, traffic management facility data, and traffic signal data.
4. The method of claim 1, further comprising:
the mobile edge computing platform predicts road condition changes in a preset time period according to the global road condition information to generate dynamic road condition information;
the mobile edge computing platform selects target dynamic road condition information around the vehicle from the dynamic road condition information according to the current position of the vehicle;
and the mobile edge computing platform sends the target dynamic road condition information to the vehicle.
5. The method of claim 4, further comprising:
the mobile edge computing platform predicts whether the road risk exists in the road according to the dynamic road condition information;
and under the condition that the road risk exists in the road, the mobile edge computing platform sends risk prompt information to the vehicle associated with the road risk.
6. The method as claimed in claim 1, wherein the step of the mobile edge computing platform selecting the target traffic information from the global traffic information and sending the target traffic information to the vehicle through a mobile communication public network comprises:
and the mobile edge computing platform selects target road condition information from the global road condition information and sends the target road condition information to the vehicle through a communication edge node in a mobile communication public network.
7. An intelligent transportation system is characterized by comprising an intelligent transportation road side unit and a mobile edge computing platform;
the intelligent traffic road side unit is used for generating local road condition information according to the collected real-time road data and sending the local road condition information to the mobile edge computing platform;
the mobile edge computing platform is used for generating global road condition information according to the local road condition information sent by the intelligent traffic road side unit; and the mobile edge computing platform selects target road condition information from the global road condition information and sends the target road condition information to the vehicle through a mobile communication public network.
8. The system according to claim 7, wherein the intelligent traffic road-side unit is specifically configured to determine at least one of a road flow, a road average speed, and an obstacle moving track of a road section corresponding to the intelligent traffic road-side unit according to the collected real-time road data; and generating local road condition information by adopting at least one of the traffic flow, the vehicle speed and the barrier movement track of the road section.
9. An electronic device, comprising:
one or more processors; and
one or more machine-readable media having instructions stored thereon that, when executed by the one or more processors, cause the electronic device to perform the method of one or more of claims 1-6.
10. One or more machine readable media having instructions stored thereon that, when executed by one or more processors, cause the processors to perform the method of one or more of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011494250.7A CN112702692A (en) | 2020-12-16 | 2020-12-16 | Road condition information providing method based on intelligent traffic system and intelligent traffic system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011494250.7A CN112702692A (en) | 2020-12-16 | 2020-12-16 | Road condition information providing method based on intelligent traffic system and intelligent traffic system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112702692A true CN112702692A (en) | 2021-04-23 |
Family
ID=75508695
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011494250.7A Pending CN112702692A (en) | 2020-12-16 | 2020-12-16 | Road condition information providing method based on intelligent traffic system and intelligent traffic system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112702692A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113077632A (en) * | 2021-06-07 | 2021-07-06 | 四川紫荆花开智能网联汽车科技有限公司 | V2X intelligent network connection side system and realizing method |
| CN113689724A (en) * | 2021-07-20 | 2021-11-23 | 新奇点智能科技集团有限公司 | Information pushing method and device, electronic equipment and computer readable storage medium |
| CN113870598A (en) * | 2021-09-27 | 2021-12-31 | 平安科技（深圳）有限公司 | Road condition information monitoring method and device, computer equipment and storage medium |
| CN114446060A (en) * | 2021-12-24 | 2022-05-06 | 联通智网科技股份有限公司 | Vehicle collision analysis method, terminal device, medium, and edge node |
| CN114495545A (en) * | 2022-01-28 | 2022-05-13 | 常州海蓝利科物联网技术有限公司 | Vehicle control system and method |
| CN114677843A (en) * | 2022-02-17 | 2022-06-28 | 阿里云计算有限公司 | Road condition information processing method, device and system and electronic equipment |
| CN114858214A (en) * | 2022-04-27 | 2022-08-05 | 中徽建技术有限公司 | Urban road performance monitoring system |
| CN115762132A (en) * | 2022-10-18 | 2023-03-07 | 浙江省机电设计研究院有限公司 | Road traffic state information intelligent acquisition device |
| CN117854279A (en) * | 2024-01-09 | 2024-04-09 | 南京清正源信息技术有限公司 | Road condition prediction method and system based on edge calculation |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110099381A (en) * | 2019-04-04 | 2019-08-06 | 常宁(常州)数据产业研究院有限公司 | A kind of vehicle based on edge calculations center and roadside device installation security certification networking structure and identifying procedure |
| CN110570674A (en) * | 2019-09-06 | 2019-12-13 | 杭州博信智联科技有限公司 | Vehicle-road cooperative data interaction method and system, electronic equipment and readable storage medium |
| US20200028736A1 (en) * | 2019-08-26 | 2020-01-23 | Lg Electronics Inc. | Method and apparatus for determining an error of a vehicle in autonomous driving system |
| CN111294767A (en) * | 2020-01-17 | 2020-06-16 | 浙江吉利新能源商用车集团有限公司 | Intelligent network vehicle data processing method, system, device and storage medium |
| CN111813105A (en) * | 2020-01-15 | 2020-10-23 | 新奇点智能科技集团有限公司 | Vehicle-road cooperation method and device, electronic equipment and readable storage medium |
| CN111882904A (en) * | 2020-07-27 | 2020-11-03 | 扬州大学 | Port area environment unmanned heavy truck safety early warning method based on edge calculation |
-
2020
- 2020-12-16 CN CN202011494250.7A patent/CN112702692A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110099381A (en) * | 2019-04-04 | 2019-08-06 | 常宁(常州)数据产业研究院有限公司 | A kind of vehicle based on edge calculations center and roadside device installation security certification networking structure and identifying procedure |
| US20200028736A1 (en) * | 2019-08-26 | 2020-01-23 | Lg Electronics Inc. | Method and apparatus for determining an error of a vehicle in autonomous driving system |
| CN110570674A (en) * | 2019-09-06 | 2019-12-13 | 杭州博信智联科技有限公司 | Vehicle-road cooperative data interaction method and system, electronic equipment and readable storage medium |
| CN111813105A (en) * | 2020-01-15 | 2020-10-23 | 新奇点智能科技集团有限公司 | Vehicle-road cooperation method and device, electronic equipment and readable storage medium |
| CN111294767A (en) * | 2020-01-17 | 2020-06-16 | 浙江吉利新能源商用车集团有限公司 | Intelligent network vehicle data processing method, system, device and storage medium |
| CN111882904A (en) * | 2020-07-27 | 2020-11-03 | 扬州大学 | Port area environment unmanned heavy truck safety early warning method based on edge calculation |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113077632A (en) * | 2021-06-07 | 2021-07-06 | 四川紫荆花开智能网联汽车科技有限公司 | V2X intelligent network connection side system and realizing method |
| CN113689724A (en) * | 2021-07-20 | 2021-11-23 | 新奇点智能科技集团有限公司 | Information pushing method and device, electronic equipment and computer readable storage medium |
| CN113870598A (en) * | 2021-09-27 | 2021-12-31 | 平安科技（深圳）有限公司 | Road condition information monitoring method and device, computer equipment and storage medium |
| CN114446060A (en) * | 2021-12-24 | 2022-05-06 | 联通智网科技股份有限公司 | Vehicle collision analysis method, terminal device, medium, and edge node |
| CN114495545A (en) * | 2022-01-28 | 2022-05-13 | 常州海蓝利科物联网技术有限公司 | Vehicle control system and method |
| CN114677843A (en) * | 2022-02-17 | 2022-06-28 | 阿里云计算有限公司 | Road condition information processing method, device and system and electronic equipment |
| CN114858214A (en) * | 2022-04-27 | 2022-08-05 | 中徽建技术有限公司 | Urban road performance monitoring system |
| CN114858214B (en) * | 2022-04-27 | 2023-08-25 | 中徽建技术有限公司 | Urban road performance monitoring system |
| CN115762132A (en) * | 2022-10-18 | 2023-03-07 | 浙江省机电设计研究院有限公司 | Road traffic state information intelligent acquisition device |
| CN117854279A (en) * | 2024-01-09 | 2024-04-09 | 南京清正源信息技术有限公司 | Road condition prediction method and system based on edge calculation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112702692A (en) | Road condition information providing method based on intelligent traffic system and intelligent traffic system | |
| US11543834B2 (en) | Positioning system based on geofencing framework | |
| US11235777B2 (en) | Vehicle path prediction and target classification for autonomous vehicle operation | |
| CN110544376B (en) | Automatic driving assistance method and device | |
| EP3357049B1 (en) | Transmission of targeted roadway alerts | |
| US11287270B2 (en) | Systems and methods for safe route planning for a vehicle | |
| US11131554B2 (en) | Systems and methods for vehicle telemetry | |
| US10591608B2 (en) | Positioning quality filter for the V2X technologies | |
| US20210014643A1 (en) | Communication control device, communication control method, and computer program | |
| CN112912943B (en) | Traffic signal state prediction correction and real-time probe data verification | |
| US11170639B2 (en) | Transportation threat detection system | |
| CN113748316B (en) | System and method for vehicle telemetry | |
| CN112396856A (en) | Road condition information acquisition method, traffic signboard and intelligent internet traffic system | |
| US11495064B2 (en) | Value-anticipating cooperative perception with an intelligent transportation system station | |
| US20230017377A1 (en) | On-board device, server, and autonomous driving availability determination system and method | |
| CN113409607A (en) | Road condition information pushing system, method, device, equipment and storage medium | |
| CN111756835B (en) | Signal lamp auxiliary processing method based on electronic fence and vehicle-mounted equipment | |
| US20230260398A1 (en) | System and a Method for Reducing False Alerts in a Road Management System | |
| US11727806B2 (en) | Identifying a parking spot based on congestion-dependent parking navigation preferences | |
| CA3216842A1 (en) | Method for creating a map with collision probabilities | |
| US11961403B2 (en) | Lane monitoring during turns in an intersection | |
| US20230387976A1 (en) | Antenna monitoring and selection | |
| JP7347502B2 (en) | Traffic jam information providing device, traffic jam information processing method and program | |
| CN111801954B (en) | Method for relaying event information in multi-layer V2X system | |
| US20240029558A1 (en) | Obstructed Lane Detection And Warning Method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210423 |
|
| RJ01 | Rejection of invention patent application after publication |