AU2020100946A4 - Multi-source traffic information sensing roadside device for smart highway - Google Patents

Multi-source traffic information sensing roadside device for smart highway Download PDF

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AU2020100946A4
AU2020100946A4 AU2020100946A AU2020100946A AU2020100946A4 AU 2020100946 A4 AU2020100946 A4 AU 2020100946A4 AU 2020100946 A AU2020100946 A AU 2020100946A AU 2020100946 A AU2020100946 A AU 2020100946A AU 2020100946 A4 AU2020100946 A4 AU 2020100946A4
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roadside
data
control unit
unit
send
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AU2020100946A
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Lingfeng Wan
Runmin WANG
Zhigang Xu
Xinrui ZHANG
Xiangmo ZHAO
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Changan University
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Changan University
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Abstract

The utility model discloses a multi-source traffic information sensing roadside device for smart highways, including a roadside sensing unit, a roadside communication unit, and a roadside control unit. The roadside sensing unit and the roadside communication unit are connected to the roadside control unit. The roadside sensing unit is configured to collect road environment data and traffic data, and send the data to the roadside control unit. The roadside communication unit is configured to collect vehicle driving data and pedestrian location data, and send the data to the roadside control unit. The roadside control unit is configured to receive the data sent by the roadside sensing unit and the roadside communication unit, send the data to a traffic and highway management cloud platform, and convert the data and send it to a vehicle-mounted terminal. In the foregoing solution provided in this application, the roadside sensing unit and the roadside communication unit are used to collect all-round traffic information, which helps traffic management departments with road operation data collection and road supervision. DRAWINGS 1/2 Traffic and highway management cloud platform Multi-source traffic Millimeter wave information sensing radar Roadside control roadside9devicefor Srunit smart highways Lidar High-definition camera Roadside - -communication Weather and unit environment monitoring sensor ~ Message sign ~~ Pedestrian: Intelligent smartphone connected vehicle FIG. 8 .a 8Vehicle .2 mounted 0 terminal Messagesg FIG 2

Description

DRAWINGS 1/2
Traffic and highway management cloud platform
Multi-source traffic Millimeter wave information sensing radar Roadside control roadside9devicefor Srunit smart highways Lidar
High-definition camera Roadside - -communication
Weather and unit environment monitoring sensor ~ Message sign ~~
Pedestrian: Intelligent smartphone connected vehicle
FIG.
8 .a 8Vehicle .2 mounted 0 terminal
Messagesg
FIG 2
MULTI-SOURCE TRAFFIC INFORMATION SENSING ROADSIDE DEVICE FOR SMART HIGHWAY TECHNICAL FIELD The utility model relates to the technical field of intelligent transportation, and in particular, to a multi-source traffic information sensing roadside device for smart highways. BACKGROUND With the rapid development of the social economy and the acceleration of the urbanization process, the demand for urban transportation is also growing rapidly. The transportation problem has become a pain point and a bottleneck that hinder city development. The concept of intelligent transportation is proposed to solve the increasingly serious traffic problems. Technologies such as digital image processing and digital communication are used to realize the monitoring and scheduling in key road areas. At present, the video detection or geomagnetic coil detection technology is widely used to realize monitoring and scheduling in key road areas. Despite the advantages in many aspects, the video detection technology is greatly affected by weather and illumination, and prone to large errors. The use of the geomagnetic coil detection technology requires installation of geomagnetic coils into the road, which reduces the strength of the road surface and makes the road vulnerable. SUMMARY To solve the foregoing problems, the utility model provides a multi-source traffic information sensing roadside device for smart highways, so as to collect multi-dimensional traffic information of highways and improve the holographic perception capability of roads. The utility model provides a multi-source traffic information sensing roadside device for smart highways, including: a roadside sensing unit, a roadside communication unit, and a roadside control unit, where the roadside sensing unit and the roadside communication unit are connected to the roadside control unit; the roadside sensing unit is configured to collect road environment data and traffic data, and send the data to the roadside control unit; the roadside communication unit is configured to collect vehicle driving data and pedestrian location data, and send the data to the roadside control unit; and the roadside control unit is configured to receive the data sent by the roadside sensing unit and the roadside communication unit, send the data to a traffic and highway management cloud platform, and convert the data and send it to a vehicle-mounted terminal. Further, the multi-source traffic information sensing roadside device for smart highways includes a message sign, where the message sign is connected to the roadside control unit and configured to display the data received by the roadside control unit. Further, the roadside sensing unit includes a radar module, a camera module, and a weather and environment monitoring module; the radar module is configured to measure 3D model data of the road and send the 3D model data to the roadside control unit; the camera module is configured to photograph road traffic data and send the road traffic data to the roadside control unit; and the weather and environment monitoring module is configured to monitor wind speed, wind direction, rainfall, and air temperature and humidity, and send the data to the roadside control unit. Further, the multi-source traffic information sensing roadside device for smart highways includes a power module, where the power module is connected to the roadside control unit. Further, the roadside control unit sends the converted data to the vehicle-mounted terminal through a Wi-Fi module. Further, the roadside control unit is a central processing unit. The beneficial effects of the utility model are as follows: The multi-source traffic information sensing roadside device for smart highways provided by the utility model can collect all-round traffic information by setting a roadside sensing unit and a roadside communication unit. This helps traffic management departments with road operation data collection and road supervision. BRIEF DESCRIPTION OF DRAWINGS FIG. 1 is a block diagram of a multi-source traffic information sensing roadside device system for smart highways according to an example of the utility model. FIG. 2 is a flowchart of the system in FIG. 1. FIG. 3 is an application diagram of a multi-source traffic information sensing roadside device for smart highways according to an example of the utility model. DETAILED DESCRIPTION The following further describes the utility model in detail with reference to the accompanying drawings and specific examples. Reference signs of similar elements are used for similar elements in different implementations. In the following implementations, many details are described so that this application can be better understood. However, those skilled in the art can easily recognize that some of the features may be omitted in different situations, or may be replaced by other elements, materials, and methods. In some cases, some operations related to this application are not shown or described in the specification. This is to avoid the core part of this application being overwhelmed by too many descriptions. For those skilled in the art, such details are not necessary, and they can fully understand related operations according to the description in the specification and general technical knowledge in the field. In addition, the features, operations, or characteristics described in the specification may be combined in any appropriate manner to form various examples. In addition, the steps or actions in the method description can also be exchanged or adjusted in a manner apparent to those skilled in the art. Therefore, the various orders in the specification and the drawings are only for clearly describing a certain example, and do not mean a mandatory order unless otherwise stated. The serial numbers, such as "first" and "second", are merely used to distinguish the described objects, and do not have any order or technical meaning. In the description of this application, unless otherwise stated, "connection" and "link" include direct and indirect connection (link). As shown in FIG. 1 to FIG. 3, a multi-source traffic information sensing roadside device for smart highways of the utility model is used for collecting highway data. The device includes a roadside sensing unit, a roadside communication unit, and a roadside control unit. The roadside sensing unit and the roadside communication unit are connected to the roadside control unit. The roadside sensing unit is configured to collect road environment data and traffic data, and send the data to the roadside control unit. The roadside communication unit is configured to collect vehicle driving data and pedestrian location data, and send the data to the roadside control unit. The roadside control unit is configured to receive the data sent by the roadside sensing unit and the roadside communication unit, send the data to a traffic and highway management cloud platform, and convert the data and send it to a vehicle-mounted terminal. A main function of the roadside sensing unit in the example of this application is to collect road environment data and traffic data. The road environment data refers to data related to the surrounding environment of a road, such as locations of potholes, standing water, and roadside infrastructure. The traffic data refers to traffic conditions and road weather data, such as traffic flow, foggy weather, and rain and snow weather. The roadside sensing unit includes various smart sensing devices such as a high-definition camera, a lidar, a millimeter wave radar, and a weather and environment monitoring sensor. The high-definition camera can identify vehicles, pedestrians and obstacles, and have the advantages of low cost and rich information. The lidar can measure a distance and build three-dimensional models of the environment to implement high-precision positioning. The millimeter wave radar can perceive the target distance and speed information in all weathers and environmental conditions. The weather and environment monitoring sensor detects the weather and road environment, including wind speed, wind direction, rainfall, and air temperature and humidity. Sensors of the roadside sensing unit work independently of each other and provide multi-dimensional road traffic data to the roadside control unit. The roadside control unit processes and analyzes the multi-dimensional road traffic data transmitted from the roadside sensing unit; provides ultra-reliable and low latency data information to the traffic and highway management cloud platform for easy monitoring and management; and provides traffic safety-related services to passing vehicles through the roadside communication unit. The roadside control unit performs extraction, cleansing, fusion, computation, and analysis on the data collected by the roadside sensing unit to generate driving safety assistance information and road traffic efficiency messages. Specifically, data extraction is to obtain multi-source sensor data, and generate n types of sensor data to obtain a data set Si. Data cleansing is to process abnormal data in the data set Si to obtain a data set S2. Data fusion is to normalize S2 data and then perform data fusion to obtain a data set S3. Through multi-access edge computing (MEC), the roadside control unit implements nearest analysis and processing on S3 data to generate a data set S 4 . This lowers end-to-end data latency, and reduces the network load caused by massive data sendback. During S 4 data analysis, the driving safety assistance information and road traffic efficiency messages are generated by using a driving safety evaluation algorithm and a road traffic efficiency improvement algorithm. The roadside communication unit exchanges data and information with traffic participants, that is, pedestrians and vehicles. The roadside communication unit includes a communication module and a roadside presentation module. The communication module includes a plurality of network communication modules, and supports a variety of IoV wireless communication technologies, such as DSRC, LTE, LTE-V, and 5G. It collects vehicle location, speed, and direction information from an on-board unit (OBU), and pedestrian location and speed information, provide the information to the roadside control unit, and broadcasts traffic information provided by the roadside control unit to the OBU to provide traffic safety and efficiency related services. The roadside presentation module publishes messages on message signs to provide traffic information services for non-intelligent connected vehicles. In the foregoing solution, the roadside sensing unit and the roadside communication unit are used to collect all-round traffic information, which helps traffic management departments with road operation data collection and road supervision. In some examples, a message sign is further included. The message sign is connected to the roadside control unit and configured to display the data received by the roadside control unit, to easily provide traffic information services for non-intelligent connected vehicles. In some examples, the roadside sensing unit includes a radar module, a camera module, and a weather and environment monitoring module. The radar module is configured to measure 3D model data of the road and send the 3D model data to the roadside control unit. The camera module is configured to photograph road traffic data and send the road traffic data to the roadside control unit. The weather and environment monitoring module is configured to monitor wind speed, wind direction, rainfall, and air temperature and humidity, and send the data to the roadside control unit. In some examples, the vehicle-mounted terminal in this application is configured to receive data from the roadside control unit, and a driver adjusts a driving direction and speed according to the received data, to ensure the driving safety. In some examples, a power module is further included. The power module is connected to the roadside control unit. Further, the power module may be a solar panel. The solar panel supplies power to the roadside control unit, so that the overall device operates normally. As shown in FIG. 3, in some examples, in foggy weather, a collision accident occurred at a distance of 150 meters in front of an intelligent connected vehicle A. Due to the bad weather, the driver of the vehicle A did not notice the accident. The roadside sensing unit delivers the collected multi-source sensor data to the roadside control unit for data extraction, cleansing, fusion, calculation, and analysis to obtain information and broadcast the information to the OBU as soon as possible, so that the vehicle A car can quickly learn the information and change a lane in advance to avoid danger. In addition, the accident information is reported to the traffic police command center, to avoid the occurrence of a second accident. The workflow of the utility model is shown in FIG. 2. The roadside sensing unit collects road environment data and traffic data, and delivers the original data to the roadside control unit. The roadside control unit performs extraction, cleansing, fusion, computation, and analysis on the data collected by the roadside sensing unit and OBU data collected by the roadside communication unit to generate driving safety assistance information and road traffic efficiency messages. The roadside control unit provides ultra-reliable and low latency data information to the traffic and highway management cloud platform for easy monitoring and management; and publishes the information processed by roadside communication unit to the message sign, to provide traffic information services to passing vehicles. The technical features of the above examples may be arbitrarily combined. For brevity of description, all possible combinations of the technical features in the above examples are not described. However, as long as there is no contradiction between the combinations of these technical features, all these combinations should be considered as the scope of this specification. The above examples are merely illustrative of several implementations of the utility model, and the description thereof is more specific and detailed. However, these examples may not be construed as a limitation to the patentable scope of the utility model. It should be pointed out that several variations and improvements may be made by those of ordinary skill in the art without departing from the conception of the utility model, but such variations and improvements should fall within the protection scope of the utility model. Therefore, the patent protection scope of the utility model should be subject to the appended claims.

Claims (5)

  1. What is claimed is: 1. A multi-source traffic information sensing roadside device for smart highways, comprising: a roadside sensing unit, a roadside communication unit, and a roadside control unit, wherein the roadside sensing unit and the roadside communication unit are connected to the roadside control unit; the roadside sensing unit is configured to collect road environment data and traffic data, and send the data to the roadside control unit; the roadside communication unit is configured to collect vehicle driving data and pedestrian location data, and send the data to the roadside control unit; and the roadside control unit is configured to receive the data sent by the roadside sensing unit and the roadside communication unit, send the data to a traffic and highway management cloud platform, and convert the data and send it to a vehicle-mounted terminal.
  2. 2. The multi-source traffic information sensing roadside device for smart highways according to claim 1, further comprising a message sign, wherein the message sign is connected to the roadside control unit and configured to display the data received by the roadside control unit.
  3. 3. The multi-source traffic information sensing roadside device for smart highways according to claim 1, wherein the roadside sensing unit comprises a radar module, a camera module, and a weather and environment monitoring module;
    the radar module is configured to measure 3D model data of the road and send the 3D model data to the roadside control unit; the camera module is configured to photograph road traffic data and send the road traffic data to the roadside control unit; and the weather and environment
    monitoring module is configured to monitor wind speed, wind direction, rainfall, and air temperature and humidity, and send the data to the roadside control unit.
  4. 4. The multi-source traffic information sensing roadside device for smart highways according to claim 1, further comprising a power module, wherein the power module is connected to the roadside control unit; further comprising a Wi-Fi module, wherein the Wi-Fi module is configured to send the data received by the roadside control unit to an external mobile device, further wherein the roadside control unit sends the converted data to the vehicle-mounted terminal through the Wi-Fi module.
  5. 5. The multi-source traffic information sensing roadside device for smart highways according to any one of claims 1 to 4, wherein the roadside control unit is a central processing unit.
AU2020100946A 2019-10-18 2020-06-05 Multi-source traffic information sensing roadside device for smart highway Ceased AU2020100946A4 (en)

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CN201921754706.1 2019-10-18

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CN112637567A (en) * 2020-12-24 2021-04-09 中标慧安信息技术股份有限公司 Multi-node edge computing device-based cloud data uploading method and system
CN113781773A (en) * 2021-08-17 2021-12-10 中山大学 Traffic operation evaluation method, device and system and electronic equipment
CN114267173A (en) * 2021-12-13 2022-04-01 河北雄安京德高速公路有限公司 Multi-source data fusion method, device and equipment for highway time-space characteristics
CN114743371A (en) * 2022-03-28 2022-07-12 阿里巴巴(中国)有限公司 Intelligent vehicle, control method thereof and driving system

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CN112289059A (en) * 2020-10-22 2021-01-29 中电智能技术南京有限公司 Vehicle-road cooperative road traffic system
CN112633120B (en) * 2020-12-18 2022-05-03 北京理工大学重庆创新中心 Model training method of intelligent roadside sensing system based on semi-supervised learning
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CN113284351A (en) * 2021-03-04 2021-08-20 中创未来智能技术(南京)研究院有限公司 Same-high-speed highway traffic control system based on vehicle-road cooperation technology
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CN113470354A (en) * 2021-06-24 2021-10-01 上海智能网联汽车技术中心有限公司 All-weather road test sensing system
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CN114743390B (en) * 2022-03-21 2023-05-26 南京大学 Variable information board capable of interacting with unmanned vehicle information and implementation method
CN115966095A (en) * 2022-12-02 2023-04-14 云控智行科技有限公司 Traffic data fusion processing method, device, equipment and medium based on vehicle
CN116311938B (en) * 2023-03-21 2023-11-03 浪潮智慧科技有限公司 Road hidden danger processing method and equipment based on big data
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CN112637567A (en) * 2020-12-24 2021-04-09 中标慧安信息技术股份有限公司 Multi-node edge computing device-based cloud data uploading method and system
CN112637567B (en) * 2020-12-24 2021-10-26 中标慧安信息技术股份有限公司 Multi-node edge computing device-based cloud data uploading method and system
CN113781773A (en) * 2021-08-17 2021-12-10 中山大学 Traffic operation evaluation method, device and system and electronic equipment
CN113781773B (en) * 2021-08-17 2023-01-03 深圳市诺龙技术股份有限公司 Traffic operation evaluation method, device and system and electronic equipment
CN114267173A (en) * 2021-12-13 2022-04-01 河北雄安京德高速公路有限公司 Multi-source data fusion method, device and equipment for highway time-space characteristics
CN114267173B (en) * 2021-12-13 2023-08-18 河北雄安京德高速公路有限公司 Multisource data fusion method, device and equipment for space-time characteristics of expressway
CN114743371A (en) * 2022-03-28 2022-07-12 阿里巴巴(中国)有限公司 Intelligent vehicle, control method thereof and driving system

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