Vehicle rear-end collision prevention early warning method and system, electronic equipment and computer readable storage medium

Abstract

The embodiment of the invention provides a vehicle rear-end collision prevention early warning method and system, electronic equipment and a computer readable storage medium. The method comprises the steps that vehicle state data of a target vehicle are received, the vehicle state data are data sent to a cloud server after the target vehicle triggers rear-end collision prevention early warning, the rear-end collision prevention early warning is triggered when the target vehicle meets early warning triggering conditions, and the early warning triggering conditions comprise a vehicle end first condition and a vehicle end second condition; based on the vehicle state data, determining triggering times of the target event; determining an early warning strategy according to the triggering times; and according to the early warning strategy, carrying out rear-end collision prevention early warning reminding on the plurality of second vehicles. According to the method and the device, the technical problem of how to reduce the risk of serial rear-end collision accidents in a multi-vehicle following driving scene is solved.

Description

Vehicle rear-end collision prevention warning methods, systems, electronic devices and computer-readable storage media Technical Field

[0001] This application relates to the field of vehicle safety technology, and more specifically, to a vehicle rear-end collision prevention warning method, system, electronic device, and computer-readable storage medium. Background Technology

[0002] During peak commuting hours in cities, such as morning and evening rush hours or holiday rush hours, vehicles typically travel very close to each other. If a vehicle in front brakes suddenly in the same lane, and the vehicle behind is close behind, a rear-end collision or even a chain-reaction collision is highly likely.

[0003] While existing technologies widely employ Automated Emergency Braking (AEB) systems to enhance driving safety, their effectiveness is limited to interactions between the vehicle in front and the vehicle immediately preceding it, failing to provide broader information sharing and warnings. In multi-vehicle following scenarios, even if the AEB system of the following vehicle responds promptly to the emergency braking of the vehicle in front, if vehicles further behind fail to receive this information in time, chain-reaction rear-end collisions may still occur due to delayed reaction or insufficient distance.

[0004] There is currently no good solution to the above problems. Summary of the Invention

[0005] This application provides a vehicle rear-end collision prevention warning method, system, electronic device, and computer-readable storage medium to at least solve the technical problem of how to reduce the risk of chain-reaction rear-end collisions in multi-vehicle following scenarios.

[0006] According to one aspect of the embodiments of this application, a vehicle rear-end collision prevention warning method is provided, applied to a cloud server. The vehicle rear-end collision prevention warning method includes: receiving vehicle status data of a target vehicle, wherein the vehicle status data is data sent to the cloud server after the target vehicle triggers a rear-end collision prevention warning; the rear-end collision prevention warning is triggered when the target vehicle meets the warning triggering conditions, the warning triggering conditions include: a vehicle-side first condition and a vehicle-side second condition, the vehicle-side first condition is used to characterize the condition for determining the activation of the target vehicle's rear-end collision prevention warning system based on the vehicle-side navigation data, and the vehicle-side second condition is used to characterize the condition for the rear-end collision prevention warning system to trigger the rear-end collision prevention warning; based on the vehicle status data... The system uses dynamic data to determine the number of times a target event is triggered. The target event is triggered based on a comparison between a first distance and a second distance. The first distance is the distance between the target vehicle and the first vehicle at the timestamp corresponding to the target vehicle's intermittent braking action. The second distance is the emergency braking distance of the target vehicle at the timestamp, with the target vehicle following the first vehicle in the same lane. Based on the number of triggers, a warning strategy is determined. This warning strategy characterizes a rear-end collision prevention warning strategy for multiple second vehicles, which sequentially follow the target vehicle in the same lane. Rear-end collision prevention warnings are then issued to the multiple second vehicles according to the warning strategy.

[0007] Furthermore, the vehicle status data includes: vehicle driving data and vehicle preparation data. The vehicle driving data includes: multiple first distances and multiple vehicle speeds. The vehicle preparation data includes: vehicle weight.

[0008] Furthermore, the navigation data includes: the road congestion index corresponding to the target road segment where the target vehicle is located; the vehicle-side first condition includes: the road congestion index is less than or equal to a preset index threshold, wherein the road congestion index is determined based on the quotient of normal driving speed and current driving speed, the normal driving speed is used to represent the average speed of multiple vehicles traveling in the same direction on the target road segment when driving normally, and the current driving speed is used to represent the average speed of multiple vehicles traveling in the same direction on the target road segment during the current time period.

[0009] Furthermore, the vehicle driving data also includes: the target vehicle's current speed at the current timestamp, the target vehicle's current distance from the first vehicle at the current timestamp, and the target vehicle's braking frequency within the preset driving mileage; the second condition on the vehicle side includes: the current distance is less than or equal to the current emergency braking distance at the current timestamp, and the braking frequency is greater than the preset frequency threshold, wherein the current emergency braking distance is determined based on the current vehicle speed and vehicle weight.

[0010] Furthermore, based on vehicle status data, the number of times the target event is triggered is determined, including: determining multiple second distances of the target vehicle based on multiple vehicle speeds and vehicle weights, wherein the multiple vehicle speeds are multiple vehicle speeds at multiple timestamps corresponding to multiple braking actions performed by the target vehicle, and the multiple second distances are multiple emergency braking distances of the target vehicle at multiple timestamps; comparing the multiple first distances with the multiple second distances to obtain a first comparison result, wherein the multiple first distances are multiple distances between the target vehicle and the first vehicle at multiple timestamps, and the multiple first distances and multiple second distances correspond one-to-one in the time dimension; the number of times the first distance is less than the second distance in the first comparison result is determined as the number of times the target event is triggered.

[0011] Furthermore, the vehicle driving data also includes: the number of times the target vehicle applies the brakes within a preset driving mileage. Based on the number of triggers, a warning strategy is determined, including: comparing the number of triggers with a trigger threshold to obtain a second comparison result, wherein the trigger threshold is set based on the number of brake applications; in response to the second comparison result indicating that the number of triggers is greater than the trigger threshold, determining the warning strategy to push rear-end collision prevention warning information to multiple second vehicles; in response to the second comparison result indicating that the number of triggers is less than or equal to the trigger threshold, not pushing rear-end collision prevention warning information to multiple second vehicles.

[0012] Furthermore, rear-end collision prevention warnings include at least one of the following: voice warning, exterior lighting warning, ambient lighting warning, and vibration warning.

[0013] According to another aspect of the embodiments of this application, a vehicle rear-end collision prevention warning system is also provided, including: a receiving module, configured to receive vehicle status data of a target vehicle, wherein the vehicle status data is data sent to a cloud server after the target vehicle triggers the rear-end collision prevention warning, the rear-end collision prevention warning is triggered when the target vehicle meets the warning triggering conditions, the warning triggering conditions include: a vehicle-side first condition and a vehicle-side second condition, the vehicle-side first condition is used to characterize the condition for determining the activation of the target vehicle's rear-end collision prevention warning system based on the vehicle-side navigation data, and the vehicle-side second condition is used to characterize the condition for the rear-end collision prevention warning system to trigger the rear-end collision prevention warning; a first determining module, configured to determine the target vehicle based on the vehicle status data. The system determines the number of times an event is triggered. The target event is triggered based on a comparison between a first distance and a second distance. The first distance is the distance between the target vehicle and the first vehicle at the timestamp corresponding to the target vehicle's intermittent braking action. The second distance is the emergency braking distance of the target vehicle at the timestamp, with the target vehicle following the first vehicle in the same lane. A second determining module is used to determine a warning strategy based on the number of triggers. This warning strategy characterizes a rear-end collision prevention warning strategy for multiple second vehicles, which sequentially follow the target vehicle in the same lane. A warning module is used to provide rear-end collision prevention warnings to the multiple second vehicles based on the warning strategy.

[0014] According to another aspect of the embodiments of this application, an electronic device is also provided, including: a memory storing an executable program; and a processor for running the executable program, wherein the executable program executes the methods in various embodiments of this application when it runs.

[0015] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of this application.

[0016] In this embodiment, vehicle status data of the target vehicle is received. This vehicle status data is data sent to the cloud server after the target vehicle triggers a rear-end collision warning. The rear-end collision warning is triggered when the target vehicle meets the warning triggering conditions. These conditions include a first vehicle-side condition and a second vehicle-side condition. The first vehicle-side condition characterizes the conditions for activating the rear-end collision warning system of the target vehicle based on the vehicle-side navigation data. The second vehicle-side condition characterizes the conditions for the rear-end collision warning system to trigger the rear-end collision warning. Based on the vehicle status data, the number of times the target event is triggered is determined. The target event is triggered based on a comparison between a first distance and a second distance. The first distance is the distance between the target vehicle and the first vehicle at the timestamp corresponding to the target vehicle's point braking action. The second distance is the emergency braking distance of the target vehicle at the timestamp, with the target vehicle following the first vehicle in the same lane. A warning strategy is determined based on the number of triggers. This warning strategy characterizes a rear-end collision warning reminder strategy for multiple second vehicles, which sequentially follow the target vehicle in the same lane. Rear-end collision warning reminders are issued to the multiple second vehicles according to the warning strategy. This application first receives the vehicle status data of the target vehicle after it triggers a rear-end collision avoidance warning. This data forms the basis for the cloud platform to initiate warning analysis. Next, based on the collected vehicle status data, the number of times a target event is triggered is determined. A target event is triggered when the first distance between the target vehicle and the vehicle in front (the first vehicle) is less than the second distance required for the target vehicle to brake suddenly. This comparison process essentially assesses the likelihood of the target vehicle colliding with the vehicle in front under emergency braking conditions, thereby quantifying the potential threat of a rear-end collision. The number of triggers directly reflects the frequency of dangerous situations during the target vehicle's operation, providing data support for the development of subsequent warning strategies.

[0017] Furthermore, based on the number of times the target event is triggered, a warning strategy is determined to provide rear-end collision prevention warnings to multiple second vehicles following the target vehicle. This strategy targets multiple following vehicles, greatly improving the coverage and efficiency of the warning. Through the warning strategy, multiple following vehicles can be notified in advance of the potential emergency braking risk, enabling them to slow down or prepare to take emergency measures in advance, effectively reducing the risk of chain-reaction rear-end collisions.

[0018] In summary, this application achieves the goal of providing timely rear-end collision prevention warnings to other vehicles following multiple target vehicles in sequence, thereby reducing the risk of chain-reaction rear-end collisions in multi-vehicle following scenarios and solving the technical problem of how to reduce the risk of chain-reaction rear-end collisions in multi-vehicle following scenarios. Attached Figure Description

[0019] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0020] Figure 1 is a flowchart of a vehicle rear-end collision prevention warning method according to an embodiment of this application;

[0021] Figure 2 is a schematic diagram of following another vehicle in the same lane according to an embodiment of this application;

[0022] Figure 3 is a flowchart of the target vehicle activating the rear-end collision prevention warning system according to an embodiment of this application;

[0023] Figure 4 is a flowchart of another vehicle rear-end collision prevention warning method according to an embodiment of this application;

[0024] Figure 5 is a structural block diagram of a vehicle rear-end collision prevention warning system according to an embodiment of this application. Detailed Implementation

[0025] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] According to an embodiment of this application, a method embodiment for a vehicle rear-end collision prevention warning method is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0028] This embodiment provides a vehicle rear-end collision prevention warning method. Figure 1 is a flowchart of a vehicle rear-end collision prevention warning method according to an embodiment of this application. As shown in Figure 1, the method includes the following steps:

[0029] Step S10: Receive vehicle status data of the target vehicle. The vehicle status data is the data sent to the cloud server after the target vehicle triggers the rear-end collision warning. The rear-end collision warning is triggered when the target vehicle meets the warning triggering conditions. The warning triggering conditions include: a first condition on the vehicle and a second condition on the vehicle. The first condition on the vehicle is used to characterize the conditions for determining the activation of the rear-end collision warning system of the target vehicle based on the navigation data on the vehicle. The second condition on the vehicle is used to characterize the conditions for the rear-end collision warning system to trigger the rear-end collision warning.

[0030] Step S11: Based on vehicle status data, determine the number of times the target event is triggered. The target event is triggered based on the comparison result between the first distance and the second distance. The first distance is the distance between the target vehicle and the first vehicle at the timestamp corresponding to the target vehicle performing the point braking action. The second distance is the emergency braking distance of the target vehicle at the timestamp. The target vehicle follows the first vehicle in the same lane.

[0031] Step S12: Determine the warning strategy based on the number of triggers. The warning strategy is used to characterize the rear-end collision prevention warning and reminder strategy for multiple second vehicles, which follow the target vehicle in the same lane in sequence.

[0032] Step S13: Based on the warning strategy, issue rear-end collision prevention warnings to multiple second vehicles.

[0033] Optionally, after the target vehicle triggers the rear-end collision avoidance warning, the cloud server receives vehicle status data sent by the target vehicle.

[0034] The aforementioned vehicle status data includes, but is not limited to, parameters such as the target vehicle's speed, acceleration, engine speed, braking signal, steering signal, and position coordinates, reflecting the target vehicle's motion and operational status within the monitoring time window or the preset driving mileage.

[0035] Optionally, the target vehicle employs various sensors, such as millimeter-wave radar, lidar, ultrasonic sensors, or vision sensors (cameras), to measure the distance between the target vehicle and the vehicle in front. Simultaneously, the vehicle's built-in electronic control unit reads the target vehicle's driving status data, including speed, acceleration, and braking system usage. After the target vehicle triggers a rear-end collision avoidance warning, it uploads the acquired vehicle status data to a cloud server.

[0036] The aforementioned navigation data refers to traffic information provided by the navigation system or software installed on the target vehicle, specifically the traffic conditions of the road segment where the target vehicle is located. For example, the traffic information could be the congestion index of the road segment where the target vehicle is located. The vehicle determines whether to activate the rear-end collision avoidance warning system based on the traffic information.

[0037] Optionally, when the target vehicle meets the first condition on the vehicle side, the rear-end collision prevention warning system of the target vehicle is activated. After the rear-end collision prevention warning system of the target vehicle is activated, it is further determined whether the target vehicle meets the second condition on the vehicle side based on the vehicle status data. When the second condition on the vehicle side is met, the vehicle rear-end collision prevention warning system triggers the rear-end collision prevention warning of the target vehicle.

[0038] Once the rear-end collision avoidance warning for the target vehicle is triggered, the vehicle's status data is uploaded to the cloud server via wireless communication. Data transmission must consider network latency and data security to ensure timely and secure delivery of information, minimizing errors and delays during transmission.

[0039] Furthermore, the cloud server determines the number of times the target event will be triggered based on the vehicle status data.

[0040] The aforementioned target event refers to the situation where, at the timestamp corresponding to the target vehicle's execution of the intermittent braking action, the distance between the target vehicle and the first vehicle in front is less than the minimum braking distance required for the target vehicle to take emergency braking at this timestamp.

[0041] The first distance mentioned above refers to the distance between the target vehicle and the first vehicle at the timestamp corresponding to the target vehicle's execution of the intermittent braking action, and the second distance mentioned above is the emergency braking distance of the target vehicle at that timestamp.

[0042] The number of triggers mentioned above refers to the frequency of the target event occurring within the monitoring time window or the preset driving mileage, which is used to quantify whether the target vehicle is frequently at risk of rear-end collisions.

[0043] In one optional embodiment, based on vehicle status data, multiple first distances and multiple second distances of the target vehicle are determined within a monitoring time window or a preset mileage range, wherein the multiple first distances and multiple second distances correspond one-to-one in the time dimension. The number of times the first distance is less than the second distance is counted, and this number is used as the trigger count of the target event.

[0044] It is easy to understand that if the first distance is less than the second distance multiple times within the monitoring time window or the preset driving mileage, it indicates that the target vehicle is less than the distance required for emergency braking when performing a point braking action, thus triggering the target event, which is considered a high-risk driving behavior.

[0045] The aforementioned early warning strategy refers to a strategy determined based on the number of triggers used to alert vehicles behind (i.e., multiple second vehicles).

[0046] Optionally, the early warning strategy can be tiered, with different intensities of warning measures depending on the number of triggers. For example, low-level triggers may only require a slight alert, while high-level triggers may require a stronger and more direct warning.

[0047] In one alternative embodiment, a specific early warning strategy is determined based on the number of triggers.

[0048] For example, if the number of triggers is less than 5 within 5 minutes, no rear-end collision warning reminders will be sent to multiple second vehicles; if the number of triggers is more than 5, rear-end collision warning reminders will be sent to multiple second vehicles.

[0049] Optionally, the number of second vehicles requiring rear-end collision warning notifications can be preset or determined based on the number of triggers. The warning range expands with the number of triggers to ensure that following vehicles have sufficient preparation time to deal with potential emergency braking events.

[0050] For example, if the number of triggers is 6, a rear-end collision warning message is pushed to vehicles n+1 to n+3 immediately following the target vehicle; if the number of triggers is 8, a rear-end collision warning message is pushed to vehicles n+1 to n+5 immediately following the target vehicle.

[0051] Furthermore, based on the early warning strategy, rear-end collision prevention warnings are issued to multiple second vehicles. For example, rear-end collision prevention warning messages are pushed to multiple second vehicles, informing their drivers of the potential rear-end collision risk ahead.

[0052] Optionally, Figure 2 is a schematic diagram of following another vehicle in the same lane according to an embodiment of this application. As shown in Figure 2, multiple vehicles are following each other in the same lane. The nth vehicle is the target vehicle, the (n-1)th vehicle is the first vehicle, and the (n+1)th to (n+5)th vehicles are multiple second vehicles. When the nth vehicle triggers a rear-end collision warning, the vehicle status data of the nth vehicle is sent to a cloud server.

[0053] This application first receives the vehicle status data of the target vehicle after it triggers a rear-end collision avoidance warning. This data forms the basis for the cloud platform to initiate warning analysis. Next, based on the collected vehicle status data, the number of times a target event is triggered is determined. A target event is triggered when the first distance between the target vehicle and the vehicle in front (the first vehicle) is less than the second distance required for the target vehicle to brake suddenly. This comparison process essentially assesses the likelihood of the target vehicle colliding with the vehicle in front under emergency braking conditions, thereby quantifying the potential threat of a rear-end collision. The number of triggers directly reflects the frequency of dangerous situations during the target vehicle's operation, providing data support for the development of subsequent warning strategies.

[0054] Furthermore, based on the number of times the target event is triggered, a warning strategy is determined to provide rear-end collision prevention warnings to multiple second vehicles following the target vehicle. This strategy targets multiple following vehicles, greatly improving the coverage and efficiency of the warning. Through the warning strategy, multiple following vehicles can be notified in advance of the potential emergency braking risk, enabling them to slow down or prepare to take emergency measures in advance, effectively reducing the risk of chain-reaction rear-end collisions.

[0055] In summary, this application achieves the goal of providing timely rear-end collision prevention warnings to other vehicles following multiple target vehicles in sequence, thereby reducing the risk of chain-reaction rear-end collisions in multi-vehicle following scenarios and solving the technical problem of how to reduce the risk of chain-reaction rear-end collisions in multi-vehicle following scenarios.

[0056] The vehicle rear-end collision prevention warning method in the embodiments of this application will be further described below.

[0057] Optionally, the vehicle status data includes: vehicle driving data and vehicle preparation data. The vehicle driving data includes: multiple first distances and multiple vehicle speeds. The vehicle preparation data includes: vehicle weight.

[0058] The aforementioned vehicle driving data refers to a series of information reflecting the vehicle's status collected by various sensors, monitoring systems, and control units during vehicle operation.

[0059] Optionally, the aforementioned driving data includes, but is not limited to, vehicle speed, acceleration, engine speed, throttle position, braking pressure, distance to the vehicle in front, data recorded from intermittent braking operations, steering angle, suspension system status, tire pressure, and temperature.

[0060] The vehicle preparation data mentioned above reflects the basic condition and configuration of the vehicle. The vehicle preparation data includes the vehicle's basic physical parameters, such as vehicle weight (i.e. curb weight).

[0061] The aforementioned multiple first distances refer to the multiple distances between the target vehicle and the first vehicle at multiple timestamps corresponding to the multiple braking actions performed.

[0062] The aforementioned vehicle speeds refer to the vehicle speeds at multiple timestamps corresponding to the target vehicle performing multiple braking actions. The aforementioned secondary distances refer to the multiple emergency braking distances of the target vehicle at multiple timestamps.

[0063] Optionally, the navigation data includes: the road congestion index corresponding to the target road segment where the target vehicle is located; the vehicle-side first condition includes: the road congestion index is less than or equal to a preset index threshold, wherein the road congestion index is determined based on the quotient of normal driving speed and current driving speed, the normal driving speed is used to represent the average speed of multiple vehicles traveling in the same direction on the target road segment when driving normally, and the current driving speed is used to represent the average speed of multiple vehicles traveling in the same direction on the target road segment during the current time period.

[0064] The congestion index mentioned above is a quantitative indicator for measuring the degree of road congestion. Optionally, a higher congestion index indicates that the road segment is more congested.

[0065] The above-mentioned normal driving speed is used to represent the average speed of multiple vehicles traveling in the same direction on the target road segment when driving normally.

[0066] Optionally, the normal driving speed is set based on a combination of factors, including historical traffic data and road design speed.

[0067] In one optional embodiment, the server of the navigation system or navigation software collects the real-time location coordinates and driving directions of multiple vehicles on the target road segment. The algorithm model on the server of the navigation system or navigation software calculates the current driving speed of each vehicle in the same direction and time period (current driving speed = distance traveled / driving time), and then further calculates the current driving speed of the target road segment (i.e., the average of the current driving speeds of multiple vehicles in the same direction and time period). Finally, the road segment congestion index is determined based on the normal driving speed and the current driving speed. Optionally, the road segment congestion index = normal driving speed / current driving speed.

[0068] For example, the road congestion index classification table is shown in Table 1.

[0069] Table 1

[0070]

[0071] As shown in Table 1, the higher the congestion index of a road segment, the lower the average speed of multiple vehicles on that road segment, and the more congested the road segment is.

[0072] In one optional embodiment, the preset index threshold is set to 2. When the road congestion index is less than or equal to 2, the rear-end collision prevention warning system is activated.

[0073] Optionally, if the current road congestion index is greater than 2, the road congestion index corresponding to the current road segment of the target vehicle is obtained every t0 time interval to further determine whether the activation conditions of the rear-end collision prevention warning system are met.

[0074] In the above steps, the navigation system identifies congested road sections. When the congestion index of a road section is less than or equal to a preset threshold, the vehicle activates a rear-end collision avoidance warning system. This solves the problem of high computing power requirements on cloud servers caused by multiple vehicles uploading their own data. By implementing these steps, the computing power requirements and power consumption of cloud servers can be effectively reduced.

[0075] Optionally, the vehicle driving data also includes: the target vehicle's current speed at the current timestamp, the target vehicle's current distance from the first vehicle at the current timestamp, and the target vehicle's braking frequency within a preset driving mileage; the second condition on the vehicle side includes: the current distance is less than or equal to the current emergency braking distance at the current timestamp, and the braking frequency is greater than a preset frequency threshold, wherein the current emergency braking distance is determined based on the current vehicle speed and vehicle weight.

[0076] In one optional embodiment, after activating the rear-end collision avoidance warning system of the target vehicle, it is further determined whether the rear-end collision avoidance warning of the target vehicle is triggered. Specifically, when the current distance of the target vehicle is less than or equal to the current emergency braking distance at the current timestamp, and the braking frequency is greater than a preset frequency threshold, the target vehicle is considered to meet the warning triggering conditions, thereby triggering the rear-end collision avoidance warning.

[0077] In the above steps, by comprehensively judging the distance between the target vehicle and the vehicle in front and the frequency of braking, it can accurately identify and promptly trigger a warning when the potential rear-end collision risk is high, reminding the driver of the target vehicle of the potential rear-end collision risk.

[0078] Optionally, in step S11, based on vehicle status data, the number of times the target event is triggered is determined, including:

[0079] Step S111: Based on multiple vehicle speeds and vehicle weights, determine multiple second distances of the target vehicle, wherein the multiple vehicle speeds are the multiple vehicle speeds under multiple timestamps corresponding to the target vehicle performing multiple braking actions, and the multiple second distances are the multiple emergency braking distances of the target vehicle under multiple timestamps.

[0080] Step S112: Compare the multiple first distances with the multiple second distances to obtain a first comparison result. The multiple first distances are the multiple distances between the target vehicle and the first vehicle at multiple timestamps. The multiple first distances and the multiple second distances correspond one-to-one in the time dimension.

[0081] Step S113: The number of times the first distance is less than the second distance in the first comparison result is determined as the number of times the target event is triggered.

[0082] In one optional embodiment, multiple emergency braking distances at multiple timestamps are calculated based on multiple vehicle speeds and vehicle weights, i.e., multiple second distances (the distance covered by the target vehicle from the start of emergency braking to complete stop at multiple vehicle speeds). The multiple first distances and multiple second distances are compared, and the number of triggers is determined based on the comparison results.

[0083] It is easy to understand that comparing multiple first distances with multiple second distances aims to check whether the actual distance between the target vehicle and the first vehicle is close to or below the safe braking distance.

[0084] In one optional embodiment, multiple first distances and multiple second distances within a monitoring time window or a preset driving mileage are compared to obtain a first comparison result. Further, the number of times the first distance is less than the second distance in the first comparison result is counted, and this number is used as the trigger count for the target event. A first distance less than the second distance indicates that the vehicle spacing is insufficient to guarantee safe braking.

[0085] In the above steps, by determining the number of times the target event is triggered, the risk level of a rear-end collision involving the target vehicle can be identified, thereby providing a basis for warning vehicles behind the target vehicle.

[0086] Optionally, the vehicle driving data also includes: the number of times the target vehicle brakes within a preset mileage. In step S12, a warning strategy is determined based on the number of triggers, including:

[0087] Step S121: Compare the number of triggers with the trigger number threshold to obtain a second comparison result, wherein the trigger number threshold is set based on the number of braking points;

[0088] Step S122: In response to the second comparison result showing that the number of triggers is greater than the trigger number threshold, the warning strategy is determined to push rear-end collision prevention warning reminder information to multiple second vehicles;

[0089] In step S123, in response to the second comparison result indicating that the number of triggers is less than or equal to the trigger number threshold, no rear-end collision warning reminder information is pushed to multiple second vehicles.

[0090] The above trigger threshold is set based on the number of braking points within a preset driving mileage.

[0091] In one optional embodiment, half of the number of braking pulses within a preset driving mileage is taken as the trigger count threshold.

[0092] Optionally, the number of times the target event is triggered within a preset driving mileage is compared with a trigger threshold. If the number of triggers is greater than the trigger threshold, it indicates that the target vehicle has a high risk of rear-end collision, and the vehicles behind the target vehicle need to be warned to prevent a chain rear-end collision.

[0093] In one optional embodiment, when the number of triggers exceeds a trigger threshold, the warning strategy is determined to be that the cloud platform pushes rear-end collision prevention warning information to multiple second vehicles. For example, the warning information could be "There is sudden braking ahead; please maintain a safe following distance." The number of second vehicles to receive the information can be pre-set or determined based on the number of triggers.

[0094] In the above steps, when a target vehicle is identified as having a high risk of rear-end collision (i.e., the number of triggers exceeds the trigger threshold), a warning message is further pushed to the vehicles behind the target vehicle. This greatly expands the warning range, improves the timeliness and effectiveness of the warning, and enables early warning and effective prevention of chain-reaction rear-end collisions. This significantly enhances road traffic safety, provides drivers with more comprehensive and timely risk alerts, and helps to avoid or reduce the occurrence of chain-reaction rear-end collisions. In particular, its warning effect is especially prominent during peak hours or holidays when traffic is heavy.

[0095] In one optional embodiment, when the number of times the target event is triggered is less than or equal to the trigger count threshold, the cloud platform does not push rear-end collision warning information to multiple second vehicles.

[0096] By following these steps, the practice of sending warning messages to vehicles behind the target vehicle due to non-high-risk braking maneuvers is avoided, reducing interference with the normal driving process of following vehicles and improving the driving experience. Through precise data analysis and cloud-based information sharing, it ensures that when a rear-end collision hazard truly exists, following vehicles can be notified promptly and effectively, minimizing the probability of chain-reaction rear-end collisions and significantly improving road traffic safety.

[0097] Optionally, the rear-end collision avoidance warning includes at least one of the following: voice warning, exterior lighting warning, ambient lighting warning, and vibration warning.

[0098] The aforementioned voice warning is a method of issuing audible warnings to the driver through the vehicle's built-in smart cockpit system using speakers. Optionally, to ensure effective information delivery, the smart cockpit system may repeat the warning during periods when the driver's attention may be distracted, automatically interrupting playback during music or other entertainment modes, prioritizing the warning information.

[0099] The aforementioned exterior lighting warning system primarily utilizes the vehicle's external lighting system, especially the hazard lights, as a visual warning signal. When the hazard lights are activated, they not only alert the driver but also convey an emergency signal to surrounding vehicles and other road users. Optionally, upon detecting a rear-end collision risk, the warning system will trigger the vehicle's hazard light circuit, causing it to flash continuously.

[0100] The aforementioned ambient lighting warning uses changes in the vehicle's interior decorative lighting to alert the driver. Optionally, when the system detects a rear-end collision risk, the ambient lighting will change to red, as red has a strong warning effect.

[0101] The aforementioned vibration warning provides physical feedback through the vibration of the steering wheel or seat, directly stimulating the driver's sense of touch, and is especially suitable for high-noise environments or when the driver has tinnitus.

[0102] The above steps, through multiple warning methods, can comprehensively remind the driver from three aspects: hearing, vision and touch, and can effectively improve the driver's ability to perceive rear-end collisions even in complex road conditions and driving environments.

[0103] Optionally, Figure 3 is a flowchart of the target vehicle activating a rear-end collision prevention warning system according to an embodiment of this application. As shown in Figure 3, the target vehicle activating a rear-end collision prevention warning system includes:

[0104] Step S30: Obtain the road congestion index of the target road segment where the target vehicle is located;

[0105] Step S31: Determine whether the road congestion index is less than or equal to the preset index threshold (e.g., the preset index threshold is 2).

[0106] Step S32: In response to the road congestion index being less than or equal to a preset index threshold, activate the rear-end collision prevention warning system for the target vehicle.

[0107] Step S33: In response to the road segment congestion index being greater than the preset index threshold, obtain the road segment congestion index corresponding to the target road segment at intervals t0.

[0108] The road congestion index is determined based on the quotient of normal driving speed and current driving speed. Normal driving speed is used to represent the average speed of multiple vehicles traveling in the same direction on the target road segment when driving normally, while current driving speed is used to represent the average speed of multiple vehicles traveling in the same direction on the target road segment during the current time period.

[0109] The above steps can effectively activate the target vehicle rear-end collision warning system.

[0110] Optionally, Figure 4 is a flowchart of another vehicle rear-end collision prevention warning method according to an embodiment of this application. As shown in Figure 4, the vehicle rear-end collision prevention warning method includes:

[0111] Step S40, obtain the Tth... i The distance d between the front of the nth car (the target vehicle) and the rear of the (n-1)th car (the first vehicle) at time n. i ;

[0112] Step S41, obtain the Tth... i The distance traveled before the time S0 (S0 takes a value of 500-1000m), and the braking frequency f;

[0113] Step S42, determine whether the nth car satisfies d i ≤d i0 And f>f0 (that is, the current distance is less than or equal to the emergency braking distance at the current vehicle speed, and the intermittent braking frequency is greater than the preset frequency threshold, with f0 taking the value of 20-30).

[0114] Step S43, in response to satisfying d i ≤d i0 If f > f0, the warning system issues an alarm and uploads the driving data of the nth vehicle to the cloud server;

[0115] Step S44, in response to the failure to satisfy d i ≤d i0 And f>f0, after an interval of T0, obtain the Tth time again. i At time n, the distance from the front of the nth car to the rear of the (n-1)th car is d. i ;

[0116] Step S45: The cloud server parses the data and marks the distance d between the nth car and the rear of the (n-1)th car during each braking maneuver. i 'and v n ';

[0117] Step S46: The cloud server algorithm platform calculates the emergency braking distance d of the nth vehicle for each point braking. i0 ', and extract d i0 '>d i The number of times N;

[0118] Step S47: Determine whether N is greater than 1 / 2 of the total number of braking strokes;

[0119] In step S48, in response to N being greater than 1 / 2 of the total number of braking attempts, the cloud server pushes a message to the n+5th vehicle behind in the same lane: "There is a sudden braking behavior ahead. Please pay attention to the following distance."

[0120] Through the above steps, the goal of providing timely rear-end collision prevention warnings to other vehicles following multiple target vehicles in sequence is achieved. This reduces the risk of chain-reaction rear-end collisions in multi-vehicle following scenarios, thus solving the technical problem of how to reduce the risk of chain-reaction rear-end collisions in multi-vehicle following scenarios.

[0121] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of the relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0122] According to the embodiments of this application, a system embodiment of a vehicle rear-end collision prevention warning system is provided. It should be noted that the system can be used to execute the above-described vehicle rear-end collision prevention warning method.

[0123] Figure 5 is a structural block diagram of a vehicle rear-end collision prevention warning system according to an embodiment of this application. As shown in Figure 5, the vehicle rear-end collision prevention warning system 500 includes: a receiving module 501, used to receive vehicle status data of a target vehicle, wherein the vehicle status data is data sent to a cloud server after the target vehicle triggers the rear-end collision prevention warning. The rear-end collision prevention warning is triggered when the target vehicle meets the warning triggering conditions. The warning triggering conditions include: a vehicle-side first condition and a vehicle-side second condition. The vehicle-side first condition is used to characterize the condition for determining the activation of the target vehicle's rear-end collision prevention warning system based on the vehicle-side navigation data, and the vehicle-side second condition is used to characterize the condition for the rear-end collision prevention warning system to trigger the rear-end collision prevention warning; a first determining module 502, used to determine the vehicle status data based on the vehicle status data. The system uses dynamic data to determine the number of times a target event is triggered. The target event is triggered based on a comparison between a first distance and a second distance. The first distance is the distance between the target vehicle and the first vehicle at the timestamp corresponding to the target vehicle's point braking action. The second distance is the emergency braking distance of the target vehicle at the timestamp. The target vehicle follows the first vehicle in the same lane. The second determining module 503 is used to determine a warning strategy based on the number of triggers. The warning strategy is used to characterize a rear-end collision prevention warning strategy for multiple second vehicles. The multiple second vehicles follow the target vehicle in the same lane in sequence. The warning module 504 is used to provide rear-end collision prevention warnings to the multiple second vehicles based on the warning strategy.

[0124] According to another aspect of the embodiments of this application, an electronic device is also provided, including: a memory storing an executable program; and a processor for running the executable program, wherein the executable program executes the methods in various embodiments of this application when it runs.

[0125] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of this application.

[0126] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0127] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection of units or modules may be electrical or other forms.

[0128] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0129] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0130] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0131] The above are merely preferred embodiments of this application. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for preventing rear-end collisions, characterized in that, The vehicle rear-end collision prevention warning method, applied to a cloud server, includes: receiving vehicle status data of a target vehicle, wherein the vehicle status data is data sent to the cloud server after the target vehicle triggers the rear-end collision prevention warning; the rear-end collision prevention warning is triggered when the target vehicle meets warning triggering conditions, the warning triggering conditions including: a first vehicle-side condition and a second vehicle-side condition; the first vehicle-side condition characterizes the condition for activating the rear-end collision prevention warning system of the target vehicle based on navigation data from the vehicle-side; the second vehicle-side condition characterizes the condition for the rear-end collision prevention warning system to trigger the rear-end collision prevention warning; and determining the number of times the target event is triggered based on the vehicle status data. The target event is triggered based on a comparison between a first distance and a second distance. The first distance is the distance between the target vehicle and the first vehicle at the timestamp corresponding to the target vehicle's intermittent braking action. The second distance is the emergency braking distance of the target vehicle at the timestamp, and the target vehicle is traveling in the same lane as the first vehicle. A warning strategy is determined based on the number of triggers, wherein the warning strategy is used to characterize a rear-end collision prevention warning strategy for multiple second vehicles, which are sequentially traveling in the same lane as the target vehicle. Rear-end collision prevention warnings are issued to the multiple second vehicles according to the warning strategy.

2. The vehicle rear-end collision prevention warning method according to claim 1, characterized in that, The vehicle status data includes: vehicle driving data and vehicle preparation data. The vehicle driving data includes: multiple first distances and multiple vehicle speeds. The vehicle preparation data includes: vehicle weight.

3. The vehicle rear-end collision prevention warning method according to claim 1, characterized in that, The navigation data includes: the road congestion index corresponding to the target road segment where the target vehicle is located; the vehicle-side first condition includes: the road congestion index is less than or equal to a preset index threshold, wherein the road congestion index is determined based on the quotient of normal driving speed and current driving speed, the normal driving speed is used to represent the average speed of multiple vehicles traveling in the same direction on the target road segment when driving normally, and the current driving speed is used to represent the average speed of multiple vehicles traveling in the same direction on the target road segment in the current time period.

4. The vehicle rear-end collision prevention warning method according to claim 2, characterized in that, The vehicle driving data also includes: the current speed of the target vehicle at the current timestamp, the current distance between the target vehicle and the first vehicle at the current timestamp, and the braking frequency of the target vehicle within a preset driving mileage; the second condition on the vehicle includes: the current distance is less than or equal to the current emergency braking distance at the current timestamp, and the braking frequency is greater than a preset frequency threshold, wherein the current emergency braking distance is determined based on the current speed and the vehicle weight.

5. The vehicle rear-end collision prevention warning method according to claim 2, characterized in that, Based on the vehicle status data, determining the trigger count of the target event includes: determining multiple second distances of the target vehicle according to the multiple vehicle speeds and the vehicle weight, wherein the multiple vehicle speeds are multiple vehicle speeds at multiple timestamps corresponding to the target vehicle performing multiple braking actions, and the multiple second distances are multiple emergency braking distances of the target vehicle at the multiple timestamps; comparing the multiple first distances with the multiple second distances to obtain a first comparison result, wherein the multiple first distances are multiple distances between the target vehicle and a first vehicle at the multiple timestamps, and the multiple first distances and the multiple second distances correspond one-to-one in the time dimension; and determining the number of times the first distance is less than the second distance in the first comparison result as the trigger count of the target event.

6. The vehicle rear-end collision prevention warning method according to claim 5, characterized in that, The vehicle driving data also includes: the number of times the target vehicle applies the brakes within a preset mileage. Based on the number of brake applications, the warning strategy is determined, including: comparing the number of brake applications with a trigger number threshold to obtain a second comparison result, wherein the trigger number threshold is set based on the number of brake applications; in response to the second comparison result indicating that the number of brake applications is greater than the trigger number threshold, determining the warning strategy to push rear-end collision prevention warning information to the plurality of second vehicles; in response to the second comparison result indicating that the number of brake applications is less than or equal to the trigger number threshold, not pushing rear-end collision prevention warning information to the plurality of second vehicles.

7. The vehicle rear-end collision prevention warning method according to claim 1, characterized in that, The rear-end collision prevention warning includes at least one of the following: voice warning, exterior lighting warning, ambient lighting warning, and vibration warning.

8. A vehicle rear-end collision prevention warning system, characterized in that, include: A receiving module is used to receive vehicle status data of a target vehicle, wherein the vehicle status data is data sent to a cloud server after the target vehicle triggers a rear-end collision avoidance warning. The rear-end collision avoidance warning is triggered when the target vehicle meets the warning triggering conditions. The warning triggering conditions include: a vehicle-side first condition and a vehicle-side second condition. The vehicle-side first condition is used to characterize the condition for activating the rear-end collision avoidance warning system of the target vehicle based on the vehicle-side navigation data, and the vehicle-side second condition is used to characterize the condition for the rear-end collision avoidance warning system to trigger the rear-end collision avoidance warning. A first determining module is used to determine the number of times a target event is triggered based on the vehicle status data, wherein the target event is determined according to a first distance. The system triggers a warning based on a comparison between a first distance and a second distance. The first distance is the distance between the target vehicle and the first vehicle at the timestamp corresponding to the target vehicle's intermittent braking action. The second distance is the emergency braking distance of the target vehicle at the timestamp, and the target vehicle follows the first vehicle in the same lane. A second determining module is used to determine a warning strategy based on the number of triggers. The warning strategy is used to characterize a rear-end collision prevention warning strategy for multiple second vehicles, which sequentially follow the target vehicle in the same lane. The warning module is used to provide rear-end collision prevention warnings to the multiple second vehicles based on the warning strategy.

9. An electronic device, characterized in that, include: Memory, which stores executable programs; A processor is configured to run the executable program, wherein the executable program executes the vehicle rear-end collision prevention warning method according to any one of claims 1 to 7 when it runs.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device on which the computer-readable storage medium is located to perform the vehicle rear-end collision prevention warning method according to any one of claims 1 to 7.

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