A road danger condition prompting system and method based on vehicle-road-cloud integration

Abstract

This invention discloses a road hazard warning system and method based on vehicle-road-cloud integration. The method includes the following steps: S1: Acquire data information affecting vehicle driving safety and vehicle information through edge cloud and regional cloud respectively, and upload them to the central cloud; S2: Perform perception fusion on the uploaded information through the central cloud and generate events; S3: Generate warning instructions based on the events and send them to the connected vehicle. The connected vehicle provides warnings to the driver through the HMI interface and HUD interface. This invention can improve the accuracy of hazard warnings and system reliability, reduce R&D, maintenance, and traffic operation costs, reduce road traffic accidents, and improve traffic management.

Description

Technical Field

[0001] This invention relates to the field of intelligent transportation technology, and in particular to a road hazard warning system and method based on vehicle-road-cloud integration. Background Technology

[0002] Against the backdrop of the development of intelligent connected vehicles and intelligent transportation, road hazard warning technology based on vehicle-road-cloud integration has already acquired the basic capabilities of "perception-decision-early warning". Some solutions achieve hazard identification and early warning through vehicle-mounted sensors, roadside equipment or preliminary cloud control platforms.

[0003] However, significant shortcomings remain: First, the dangerous information exchange chain is not closed-loop, lacking a "danger clearance - warning termination" linkage mechanism, which easily leads to driver fatigue and wastes system resources, stemming from the lack of a dynamic status management model for dangerous events and warning termination trigger conditions; second, multi-terminal warning coordination is insufficient, with inconsistent prompt content and update frequency, and poor adaptability, due to the lack of a unified multi-terminal warning adaptation standard and coordination rules; third, cloud management capabilities are weak, lacking systematic management, visual monitoring, and full-link traceability of events and instructions, and also lacking refined role and permission control, as the cloud platform's positioning is limited to a "data relay station"; fourth, system dependency and compatibility are insufficient, with poor cross-scenario and cross-device adaptability, and the lack of unified technical standards and interface specifications. These problems result in insufficient timeliness, accuracy, and coverage of dangerous situation prompts, making it difficult to meet the safety assurance needs in complex traffic scenarios. Summary of the Invention

[0004] The purpose of this invention is to provide a road hazard warning system and method based on vehicle-road-cloud integration, in order to solve the technical problems of how to improve the accuracy of hazard warnings and system reliability, reduce R&D, operation and maintenance and traffic operation costs, reduce road traffic accidents and improve traffic management.

[0005] This invention is achieved using the following technical solution: a road hazard warning method based on vehicle-road-cloud integration, comprising the following steps: S1: Obtain data information affecting vehicle driving safety and vehicle information through edge cloud and regional cloud respectively, and upload them to the central cloud; S2: The uploaded information is sensed and fused through the central cloud, and events are generated; S3: Based on the event, generate a prompt instruction and send it to the connected vehicle. The connected vehicle then provides a warning to the driver through the HMI and HUD interfaces.

[0006] Furthermore, step S1 includes the following sub-steps: S11: Obtain dangerous situations that affect vehicle driving on the road through the edge cloud, identify dangerous situation data through roadside equipment, and upload the data to the central cloud; S12: Obtain information on water accumulation under bridges and road construction from third-party platforms through the regional cloud and transmit it to the central cloud, and obtain vehicle information from connected vehicles.

[0007] Furthermore, the hazardous situations include one or more of construction, accidents, and spills; the roadside equipment includes one or more of cameras, millimeter-wave radar, and lidar.

[0008] Furthermore, the vehicle's own information includes one or more of the following: vehicle positioning data, vehicle alarm data, vehicle status data, and vehicle navigation data.

[0009] Furthermore, step S2 includes the following sub-steps: S21: The central cloud will be used to perceive and fuse data from third-party platforms and vehicle-related data; S22: Generate road hazard warning events from the data fused by perception, and store the road hazard warning data in the regional cloud.

[0010] Furthermore, step S3 includes the following sub-steps: S31: Generates road hazard warning instructions through the central cloud and sends the instructions to the RSU device closest to the location of the hazard, and broadcasts them to surrounding vehicles; S32: When a connected vehicle is less than or equal to the prescribed distance D1 from a dangerous road section, the connected vehicle will receive a road hazard warning instruction broadcast by the RSU; S33: Connected vehicles provide warnings to drivers through HMI and HUD interfaces, including audio and text prompts.

[0011] A road hazard warning system based on vehicle-road-cloud integration, used to implement the aforementioned road hazard warning method based on vehicle-road-cloud integration, includes: The data acquisition module acquires data information affecting vehicle driving safety and vehicle information through edge cloud and regional cloud respectively, and uploads it to the central cloud; The perception fusion module performs perception fusion on the uploaded information through the central cloud and generates events; The warning module generates warning instructions based on events and sends them to the connected vehicle. The connected vehicle then provides warnings to the driver through the HMI and HUD interfaces.

[0012] The beneficial effects of this invention are as follows: This invention constructs a closed-loop system for hazard information exchange and a warning termination mechanism: It addresses the issues of warnings not stopping or link breaks after the hazard is eliminated in existing technologies. This requires establishing a dynamic management model for hazard events and warning termination trigger conditions to achieve a closed-loop process of "identification-issuance-update-termination". This invention also unifies multi-terminal warning standards and improves adaptability and collaboration: It solves the problems of inconsistent prompts and poor adaptability among multiple terminals (HMI, HUD, etc.). This requires clarifying the prompt format, synchronization rules, and collaboration logic for each terminal to ensure consistent and accurate prompts.

[0013] This invention enhances cloud management capabilities and enables traceability of event commands: It addresses the lack of systematic management, monitoring, and access control in the cloud by constructing an "event-command-terminal" associated database, developing query functions, and defining role permissions; It also unifies device interface protocols to improve system compatibility: It addresses the issues of narrow applicability and unclear external dependencies in existing solutions by unifying communication protocols based on vehicle-road-cloud specifications, clarifying interface dependencies, and adapting to multiple brands of devices and scenarios.

[0014] In summary, this invention addresses the problems of non-closed-loop interaction links, poor multi-terminal collaboration, weak cloud management, and insufficient system compatibility in existing technologies by constructing a dynamic management and early warning termination mechanism for hazardous events, unifying the early warning adaptation standard for multiple terminals (HMI / HUD / mobile phone / watch), building an "event-command-terminal" associated database and differentiated role permission control, and unifying the communication protocol between roadside equipment and vehicle terminals. It can improve the accuracy of hazard warnings and system reliability, reduce R&D, maintenance, and traffic operation costs, reduce road traffic accidents, and improve traffic management, thus achieving beneficial technical, economic, and social effects. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0016] Figure 1 This is a flowchart of the present invention; Figure 2 This is a schematic diagram illustrating the prompting function of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0018] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0019] The following detailed description of some embodiments of the present invention is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0020] See Figure 1 , Figure 2 A method for road hazard warning based on vehicle-road-cloud integration includes the following steps: Upload data: By using edge cloud to acquire information about dangerous situations on the road that affect vehicle traffic, taking road construction as an example, roadside equipment (cameras, millimeter-wave radar, lidar) identifies road construction data and uploads the data to the cloud; Data Acquisition: Obtain road construction information from third-party platforms through the regional cloud and transmit it to the central cloud, and obtain vehicle positioning data, vehicle alarm data, vehicle status data, vehicle navigation data, etc. from connected vehicles; Data fusion: The central cloud is used to perceive and fuse data from third-party platforms and vehicle-related data; Event generation: The central cloud generates road hazard warning events from the fused perception data, and the regional cloud stores the road hazard warning data. Command judgment and issuance: The central cloud generates road hazard warning commands and issues them to the RSU device closest to the location of the hazard, and broadcasts them to surrounding vehicles. Command Received: When a connected vehicle is less than or equal to the specified distance D1 (D1 is a fixed distance between a connected vehicle traveling in the same direction and the dangerous road section, such as 50m), the connected vehicle will receive a road hazard warning command broadcast by the RSU, which includes the text "Road construction ahead, please slow down!!!" Warning prompts: Connected vehicles provide warning prompts to the driver through the HMI and HUD interfaces, including audio and text prompts, with the text being: "Road construction ahead, please slow down!!!"

[0021] It should be noted that the stop command issuance will not receive commands or issue warnings when the connected vehicle is more than 50 meters away from the dangerous road section; event monitoring: when the event on the third-party platform ends, event recording and command issuance will stop, and when a new event is generated on the third-party platform, new event recording and command issuance will begin.

[0022] A road hazard warning system based on vehicle-road-cloud integration is provided to implement the road hazard warning method described above. The system includes: a data acquisition module, which acquires data information affecting vehicle driving safety and vehicle information through edge cloud and regional cloud respectively, and uploads them to the central cloud; a perception fusion module, which performs perception fusion on the uploaded information through the central cloud and generates events; and a warning prompt module, which generates prompt instructions based on the events and sends them to the connected vehicle. The connected vehicle provides warning prompts to the driver through the HMI interface and HUD interface.

[0023] In some embodiments, the road hazard warning system can be integrated into a cloud-based control platform. This platform, serving as the core hub of the vehicle-road-cloud integrated system, aggregates real-time vehicle dynamic data, roadside perception information, and global cloud resources to construct a digital twin foundation for the entire traffic system, establishing an efficient collaborative data transmission channel between vehicles, roads, and the cloud. It supports collaborative perception and path planning for autonomous vehicles, optimizes traffic signal control and emergency response, and ensures real-time multi-dimensional information interaction between people, vehicles, roads, and the environment through V2X communication technology. The cloud-based control platform adopts a three-layer cloud architecture (edge ​​cloud, regional cloud, and central cloud), and application services utilize cloud-native front-end and back-end scaffolding. Business components employ cloud-native components such as access control, job management, and IoT, while the monitoring platform and middleware utilize cloud-native products. The cloud control infrastructure platform mainly includes basic capabilities such as IoT, protocol adaptation, high-speed caching, structured data storage, and unstructured data storage. It also develops modules such as basic equipment management, event management, and intersection situational awareness management. It has multiple single-vehicle collaborative perception and early warning scenarios, covering the construction needs of early warning message reminders for special vehicles.

[0024] For the foregoing embodiments, in order to simplify the description, they are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to this application.

[0025] The above embodiments describe the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Modifications and variations made by those skilled in the art without departing from the spirit and scope of the invention should be within the protection scope of the appended claims.

Claims

1. A method for road hazard warning based on vehicle-road-cloud integration, characterized in that, Includes the following steps: S1: Obtain data information affecting vehicle driving safety and vehicle information through edge cloud and regional cloud respectively, and upload them to the central cloud; S2: The uploaded information is sensed and fused through the central cloud, and events are generated; S3: Based on the event, generate a prompt instruction and send it to the connected vehicle. The connected vehicle then provides a warning to the driver through the HMI and HUD interfaces.

2. The road hazard warning method based on vehicle-road-cloud integration as described in claim 1, characterized in that, Step S1 includes the following sub-steps: S11: Obtain dangerous situations that affect vehicle driving on the road through the edge cloud, identify dangerous situation data through roadside equipment, and upload the data to the central cloud; S12: Obtain information on water accumulation under bridges and road construction from third-party platforms through the regional cloud and transmit it to the central cloud, and obtain vehicle information from connected vehicles.

3. The road hazard warning method based on vehicle-road-cloud integration as described in claim 2, characterized in that, The hazardous situations include one or more of construction, accidents, and spills; the roadside equipment includes one or more of cameras, millimeter-wave radar, and lidar.

4. The road hazard warning method based on vehicle-road-cloud integration as described in claim 2, characterized in that, The vehicle's own information includes one or more of the following: vehicle location data, vehicle alarm data, vehicle status data, and vehicle navigation data.

5. The road hazard warning method based on vehicle-road-cloud integration as described in claim 1, characterized in that, Step S2 includes the following sub-steps: S21: The central cloud will be used to perceive and fuse data from third-party platforms and vehicle-related data; S22: Generate road hazard warning events from the data fused by perception, and store the road hazard warning data in the regional cloud.

6. The road hazard warning method based on vehicle-road-cloud integration as described in claim 1, characterized in that, Step S3 includes the following sub-steps: S31: Generates road hazard warning instructions through the central cloud and sends the instructions to the RSU device closest to the location of the hazard, and broadcasts them to surrounding vehicles; S32: When a connected vehicle is less than or equal to the prescribed distance D1 from a dangerous road section, the connected vehicle will receive a road hazard warning instruction broadcast by the RSU; S33: Connected vehicles provide warnings to drivers through HMI and HUD interfaces, including audio and text prompts.

7. A road hazard warning system based on vehicle-road-cloud integration, used to implement the road hazard warning method based on vehicle-road-cloud integration as described in any one of claims 1 to 6, characterized in that, include: The data acquisition module acquires data information affecting vehicle driving safety and vehicle information through edge cloud and regional cloud respectively, and uploads it to the central cloud; The perception fusion module performs perception fusion on the uploaded information through the central cloud and generates events; The warning module generates warning instructions based on events and sends them to the connected vehicle. The connected vehicle then provides warnings to the driver through the HMI and HUD interfaces.

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