A method, device, medium and equipment for pre-warning of road surface information

Abstract

Embodiments of the present application disclose a road surface information pre-notification method and device, a medium and equipment. The method comprises: if a road rage emotion event is detected, obtaining position information of the road rage emotion event; determining at least one first target monitoring device according to the position information, and intercepting a road rage cause video from video content monitored by the first target monitoring device; identifying the road rage cause video to obtain a traffic event type that triggers road rage emotion; and when at least one second target monitoring device collects a traffic event type that exists and triggers road rage emotion, notifying drivers within a preset range of the second target monitoring device of a corresponding traffic state. Through the technical solution, the driver can be notified of the road surface information after the road rage event occurs, so as to achieve the purpose of reducing the occurrence of road rage, and better driving atmosphere and road safety can be achieved.

Description

Technical Field

[0001] This application relates to the field of image processing technology, and in particular to a method, apparatus, medium and device for advance notification of road information. Background Technology

[0002] With national development, the number of vehicles on the road is increasing, leading to a rise in various incidents and situations. After an incident, the vehicle in front may perform evasive maneuvers, but the vehicle behind may not understand these actions, resulting in road rage. Such emotionally charged situations can severely impact driving conditions.

[0003] The existing sharing method involves sharing video footage from the first intact vehicle when an accident occurs, thus sharing relevant information with vehicles behind. However, this method has the following drawbacks: it covers a limited number of scenarios, only identifying and sharing information with drivers in certain special situations; and if the shared information is too limited, it may not serve as a helpful warning, while if it is too extensive, it may not provide adequate guidance to drivers. Summary of the Invention

[0004] This application provides a method, device, medium, and equipment for advance notification of road information, which can provide targeted advance notification of road information to drivers after a road rage incident occurs, thereby reducing the occurrence of road rage and achieving a better driving atmosphere and road safety.

[0005] In a first aspect, embodiments of this application provide a method for advance notification of road surface information, the method comprising:

[0006] If a road rage incident is detected, the location information of the road rage incident is obtained;

[0007] Based on the location information, at least one first target monitoring device is determined, and the video of the road rage trigger is extracted from the video content monitored by the first target monitoring device.

[0008] The video footage that triggered road rage was identified to determine the type of traffic incident that caused the road rage.

[0009] When a traffic event type that triggers road rage is detected by at least one second target monitoring device, the corresponding traffic status is communicated to drivers within a preset range of the second target monitoring device.

[0010] Secondly, embodiments of this application provide a road surface information advance notification device, the device comprising:

[0011] The location acquisition module is used to acquire the location information of a road rage event if a road rage event is detected.

[0012] A road rage triggering video extraction module is used to determine at least one first target monitoring device based on the location information, and to extract the road rage triggering video from the video content monitored by the first target monitoring device.

[0013] The event type acquisition module is used to identify the traffic event type that triggered the road rage video and obtain the traffic event type that caused the road rage.

[0014] The traffic status notification module is used to notify drivers within a preset range of the second target monitoring device of the corresponding traffic status when the traffic event type that triggers road rage is detected by at least one second target monitoring device.

[0015] Thirdly, embodiments of this application provide a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method for advance notification of road information as described in embodiments of this application.

[0016] Fourthly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method for advance notification of road information as described in embodiments of this application.

[0017] The technical solution provided in this application, when traffic conditions that could trigger road rage are detected by at least one target monitoring device, informs drivers within a preset range of the target monitoring device about the traffic conditions. This technical solution allows for targeted advance notification of road information to drivers after a road rage incident, thereby reducing the occurrence of road rage and achieving a better driving environment and road safety. Attached Figure Description

[0018] Figure 1 This is a flowchart of the method for advance notification of road information provided in Embodiment 1 of this application;

[0019] Figure 2 This is a flowchart illustrating the advance notification of road surface information in Embodiment 2 of the present invention;

[0020] Figure 3 This is a structural block diagram of a road information advance notification device provided in Embodiment 3 of the present invention;

[0021] Figure 4 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. Detailed Implementation

[0022] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the application and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present application, not the entire structure.

[0023] Example 1

[0024] Figure 1 This is a flowchart of the method for advance notification of road information provided in Embodiment 1 of this application. This embodiment can be applied to situations where drivers have road rage. The method can be executed by the advance notification device for road information provided in this embodiment. The device can be implemented by software and / or hardware and can be integrated into an electronic device.

[0025] like Figure 1 As shown, the method for advance notification of road information includes:

[0026] S110, if a road rage event is detected, the location information of the road rage event is obtained.

[0027] This solution can be executed by a road rage analysis platform and applied to situations involving drivers exhibiting road rage. When various front-ends of the road rage analysis platform collect data on the current driver's road rage state and traffic conditions, this data is sent to the platform for processing and statistical analysis. This solution allows for targeted advance notification of road conditions to potentially irritable individuals after a road rage incident, thereby reducing the occurrence of road rage events.

[0028] The road rage event can include unexpected events such as sudden road conditions ahead, traffic congestion, or uncivilized driving. For example, unexpected events can include yielding to pedestrians; traffic congestion can include accidents ahead or traffic control measures; uncivilized driving can include deliberately cutting off other vehicles or driving against traffic. The location information can be obtained, but is not limited to, based on Global Positioning System (GPS) signals. In this embodiment, a device with a human emotion monitoring function can be installed in the vehicle to screen for situations where the driver is exhibiting road rage based on a series of physical characteristics of the driver. For example, the driver's emotional state can be collected through a human emotion search function or calculated by a backend server; alternatively, the onboard terminal can detect whether the driver is exhibiting road rage by detecting frequent acceleration or braking, thus detecting a road rage event. The degree of road rage can be reflected by the frequency of road rage expressions by the driver. When the emotion collection device detects that a driver is experiencing road rage, it can optionally submit data such as the time, location, license plate, driver's unique identifier, and degree of road rage to a background road rage event collection table. An example of such a table is shown in Table 1.

[0029]

[0030] Table 1. Road Rage Incident Collection Form

[0031] S120, determine at least one first target monitoring device based on the location information, and extract the road rage trigger video from the video content monitored by the first target monitoring device.

[0032] In this embodiment, there may be at least one, or multiple, target monitoring devices. The video triggering road rage may be video content captured from the target monitoring devices. Based on the location information of road rage events, this information is statistically analyzed to determine high-incidence areas. To understand the specific events causing road rage, monitoring devices can be installed in these areas to collect data on events occurring when road rage occurs. Furthermore, after installing cameras in high-risk areas, when road rage occurs, the emotion collection device triggers nearby cameras to record and transmit the pre-event monitoring footage to the road rage event analysis table, where it is associated with the road rage event number.

[0033] S130, Identify the video that triggered the road rage to obtain the type of traffic event that caused the road rage.

[0034] The types of traffic events that trigger road rage include emergencies, traffic congestion, and uncivilized driving. For example, emergencies may include yielding to pedestrians; traffic congestion may include accidents ahead or traffic control measures; and uncivilized driving may include deliberately cutting off other vehicles or driving against traffic. In this embodiment, the road rage calculation platform analyzes video footage of road rage triggers to obtain the specific events causing road rage. It can also categorize the event types and then write them into a road rage event analysis table. For example, the road rage event analysis table is shown in Table 2 below:

[0035] Road rage incident number Road camera coding Event Categories Event subclass 1 1000001 Emergency Yield Here To Peds 2 1000002 Traffic congestion Car accident ahead 3 1000003 Uncivilized driving maliciously cutting off other vehicles 4 1000001 Uncivilized driving Going against the flow 5 1000003 Traffic congestion Traffic control … … … …

[0036] Table 2 Analysis of Road Rage Incidents

[0037] S140, when the traffic event type that triggers road rage is detected by at least one second target monitoring device, the corresponding traffic status is communicated to drivers within a preset range of the second target monitoring device.

[0038] The second target monitoring device can be at least one or more; the second target monitoring device can be the same as or different from the first target monitoring device. The traffic event types can specifically include sudden incidents caused by yielding to pedestrians, road congestion caused by a traffic accident or traffic control ahead, and uncivilized driving such as malicious cutting off or driving against traffic. In this embodiment, the current traffic status can be communicated to the driver via an in-vehicle terminal or user terminal. The preset range can be the area covered by the target monitoring device, for example, a range of 50 meters east-west and 30 meters north-south centered on the intersection, or it can be set according to actual needs. In this embodiment, when a traffic event type that triggers road rage is detected by at least one second target monitoring device, the current traffic status is communicated to drivers within a preset range of the target monitoring device. For example, when the front-end monitoring device of the road rage calculation platform detects traffic congestion caused by a traffic accident ahead, the road rage calculation platform sends relevant information to drivers within the coverage area of ​​the front-end monitoring device, so that drivers can receive the current traffic status information in advance, prepare themselves mentally, or take relevant actions to reduce road rage, such as playing music or turning on low beam headlights.

[0039] The technical solution provided in this application involves, if a road rage event is detected, obtaining the location information of the road rage event; determining at least one first target monitoring device based on the location information, and extracting the road rage trigger video from the video content monitored by the first target monitoring device; identifying the road rage trigger video to obtain the type of traffic event that triggered the road rage; and when the type of event that triggered the road rage is detected by at least one second target monitoring device, informing drivers within a preset range of the second target monitoring device of the corresponding traffic conditions. This solution, through the above means, can provide drivers with targeted advance information about road conditions after a road rage event occurs, thereby reducing the occurrence of road rage and achieving a better driving environment and road safety.

[0040] In this embodiment, optionally, at least one first target monitoring device is determined based on the location information, and the road rage trigger video is extracted from the video content monitored by the first target monitoring device, including:

[0041] Based on the location information, determine the device number of at least one first target monitoring device that matches the location information;

[0042] Retrieve the video content of the first target monitoring device according to the device number;

[0043] The video content may be extracted from the video content during a first preset time period before the road rage incident, or the video content may be extracted from the video content during a first preset time period before the road rage incident and a second preset time period after the road rage incident as the triggering video for the road rage.

[0044] The device number can be a pre-set number. The video content can be video recorded by the target monitoring device within its monitoring range. The first preset time period video can be the 15 seconds before the road rage incident; the second preset time period video can be the 5 seconds after the incident; the preset time period video can be set according to individual needs. The road rage trigger video can be the 15 seconds before the road rage incident, or it can be both the 15 seconds before and the 5 seconds after the road rage incident. In addition, this solution can also use a single frame of image for identification, such as an image captured at the time of the road rage incident, as the basis for identifying the trigger.

[0045] This solution, through its setup, allows for the flexible acquisition of videos that trigger road rage, thus providing a clear understanding of the reasons behind road rage.

[0046] In this embodiment, optionally, the video triggering road rage is identified to determine the type of event that caused the road rage, including:

[0047] The video of the road rage trigger is used to identify the vehicle dynamics to determine whether the driver of any vehicle is experiencing road rage.

[0048] If so, identify the scene information of the vehicle driven by the driver in a road rage state before the abnormal driving;

[0049] Based on the scenario information, determine the type of event that triggered road rage.

[0050] The vehicle dynamic recognition can be achieved by the road rage calculation platform directly identifying vehicles in a state of road rage by capturing video clips of road rage triggers; the scene information is the road information of the driver's vehicle before the abnormal driving; for example, by performing vehicle dynamic recognition on video clips of road rage triggers, the road rage calculation platform can identify that the current driver is in a state of road rage through the front-end emotion collection device, and if it is identified that there are pedestrians crossing the current scene, then based on the current scene information, the event type that triggered the road rage is determined to be a sudden event.

[0051] This solution, through its configuration, can accurately determine the type of event that triggers road rage based on the identification of video footage that induces road rage and the scene information, making it easier to proactively notify drivers when the same type of event occurs again.

[0052] In this embodiment, optionally, the types of events that trigger road rage include sudden events, traffic congestion, or uncivilized driving.

[0053] This solution, through its configuration, can promptly inform drivers who are prone to anger regarding different event types of traffic conditions in advance.

[0054] Furthermore, a subclass is constructed to which the event type that triggers road rage belongs; correspondingly, the event type that triggers road rage is determined according to the scenario information, including: determining the event type and its subclass according to the scenario information; wherein, the sudden event includes the subclass of yielding to pedestrians; the road congestion includes the subclass of traffic accident ahead and the subclass of traffic control; the uncivilized driving includes the subclass of malicious cutting off other vehicles and the subclass of driving against the flow of traffic.

[0055] The subclass can be a classification of event types, categorized into more specific traffic behaviors. For example, the "emergency" event belongs to the broad category of events, and the corresponding subclasses could include the "yielding to pedestrians" subclass; the "road congestion" event belongs to the broad category of events, and could include subclasses such as "accident ahead" and "traffic control"; and the "uncivilized driving" event belongs to the broad category of events, and could include subclasses such as "malicious cutting off other vehicles" and "driving against traffic".

[0056] This solution, through its configuration, categorizes events into specific subcategories. By identifying the scene information of a driver experiencing road rage before their aggressive driving, it can clearly understand the type of event that caused the road rage and its specific subcategory, thus facilitating targeted communication to individuals prone to such events.

[0057] Example 2

[0058] Figure 2 This is a flowchart of the pre-notification of road information in Embodiment 2 of the present invention. This embodiment is an optimization based on the above embodiment. Specifically, the optimization is as follows: after identifying the road rage trigger video and obtaining the event type that triggers road rage, the method further includes: statistically analyzing the stress level of each driver for various event types that trigger road rage, and determining the sensitive event type for each driver; accordingly, when traffic conditions containing event types that trigger road rage are collected by at least one target monitoring device, the traffic conditions are notified to drivers within a preset range of the target monitoring device, including: when traffic conditions containing event types that trigger road rage are collected by at least one target monitoring device, determining the drivers within a preset range of the target monitoring device; identifying the target driver whose sensitive event type is the current event type that triggers road rage; and informing the target driver of the traffic conditions.

[0059] like Figure 2 As shown, a specific embodiment of this application may include the following steps:

[0060] S210, if a road rage event is detected, the location information of the road rage event is obtained.

[0061] S220: Collect statistics on the location information of road rage incidents to identify high-incidence areas of road rage incidents;

[0062] High-incidence areas can be defined as areas where road rage incidents occur more frequently, indicating that such areas are more prone to road rage incidents and are considered high-risk areas. For example, if a road rage incident occurs more than three times within a preset time period, it will be marked as a high-risk area. These high-incidence areas can also be manually defined based on actual circumstances. In this embodiment, high-incidence areas of road rage are identified by statistically analyzing the location information of road rage incidents.

[0063] S230, determine whether there are monitoring devices in the high-incidence area; if not, generate monitoring device installation information.

[0064] The monitoring equipment installation information includes the location information of high-incidence areas. When an area is identified as a high-incidence area for road rage, it is determined whether there are monitoring devices in that area. If not, monitoring equipment installation information is generated and sent to the backend device so that the corresponding monitoring equipment can be installed in a timely manner. In this embodiment, after the monitoring equipment is installed in the high-incidence area, when road rage occurs and the emotion collection device provides feedback, it can also link nearby cameras to record the monitoring footage before the road rage occurred and transmit it to the road rage event analysis table for recording. The data is then associated with the road rage event number. For example, the association table is shown in Table 3 below.

[0065] Road rage incident number Road camera coding Event Type 1 1000001 * 2 1000002 * 3 1000003 * 4 1000001 * … … …

[0066] Table 3 Relationship Table

[0067] S240, determine at least one first target monitoring device based on the location information, and extract the video of the road rage trigger from the video content monitored by the first target monitoring device.

[0068] S250, Identify the video that triggered the road rage to obtain the type of traffic incident that caused the road rage.

[0069] S260, Statistically analyze the stress levels of each driver to various types of traffic events that trigger road rage, and determine the types of events that each driver is sensitive to;

[0070] The stress level can be reflected in which events cause drivers to experience road rage more frequently, specifically by the frequency of road rage. Alternatively, it can be represented by different emotions and behaviors, such as rapid heartbeat, frowning, or honking. Since everyone's personality and age are different, pushing road rage-inducing events to everyone would be inconvenient in terms of resource consumption and individual acceptance. For example, some people can tolerate traffic congestion, while others can tolerate uncivilized driving. Therefore, we need to push different information to different groups to save resources and avoid overwhelming recipients with too many messages. The sensitive event type can refer to the traffic conditions caused by different event types that trigger road rage. Therefore, in this embodiment, the event types in the road rage event analysis table can be correlated with the individuals in the road rage event collection table to obtain the emotional changes of the same person for different events, thereby generating a new road rage frequency statistics table. For example, the road rage frequency statistics table is shown in Table 4 below.

[0071] Personnel Number (Driver ID) Irritability Road rage incidents 33032719931110**** Emergency 3 33032719931111**** Uncivilized driving 2 33032719931112**** Traffic congestion 3 33032719931110**** Traffic congestion 5 … … …

[0072] Table 4. Statistics on Road Rage Incidents

[0073] Accordingly, when a traffic event type that triggers road rage is detected by at least one second target monitoring device, the corresponding traffic status is communicated to drivers within a preset range of the second target monitoring device, including:

[0074] S270, when the type of event that triggers road rage is detected by at least one second target monitoring device, the driver within the preset range of the second target monitoring device is identified;

[0075] The preset range can be an area covered by the target monitoring device, such as a range of 50 meters east-west and 30 meters north-south centered on the intersection, or it can be set according to actual needs. When an event type that triggers road rage is detected by at least one second target monitoring device, the drivers in the area covered by the second target monitoring device are identified.

[0076] S280 identifies target drivers whose sensitive event type is the type of traffic incident that currently triggers road rage.

[0077] The target driver can be a driver who is prone to road rage due to the current road conditions. For example, if the current traffic incident is classified as uncivilized driving, and driver A is prone to road rage due to traffic congestion, while driver B is prone to road rage due to uncivilized driving, then driver B is identified as the target driver for this sensitive incident type. In this embodiment, the target driver who is prone to road rage due to the current incident type is identified from among the drivers within the area covered by the target monitoring device.

[0078] S290, inform the target driver of the traffic conditions.

[0079] In this embodiment, the current traffic status can be communicated to the driver via an in-vehicle terminal or user terminal. The road rage calculation platform analyzes and calculates to identify target drivers who are prone to road rage due to the current event type, and then provides targeted information about the current traffic status to these drivers.

[0080] This embodiment can also integrate road rage statistics and the types of traffic incidents that trigger road rage to activate the event prediction function within the camera's coverage area. When the camera, through real-time analysis, detects that an event that could trigger road rage is occurring or is about to occur, it searches for nearby drivers. If any driver in the list is prone to anger regarding the event, the event is shared with them in advance.

[0081] The technical solution provided in this application, based on statistical analysis of road rage incidents, can continuously improve the comprehensiveness of road rage incident data. After a road rage incident occurs, targeted road information can be provided to easily angered individuals in advance. Specifically, notifications can be tailored to the specific incident types that each driver is sensitive to, thereby reducing the occurrence of road rage and achieving a better driving environment and road safety. Furthermore, it can predict driver behavior before road rage occurs and then effectively implement preventative measures, addressing the root cause of road rage.

[0082] Example 3

[0083] Figure 3 This is a structural block diagram of a road information advance notification device provided in Embodiment 3 of the present invention. This device can execute the road information advance notification method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method. For example... Figure 3 As shown, the device may include: a location acquisition module 31, a road rage trigger video capture module 32, an event type acquisition module 33, and a traffic status notification module 34;

[0084] The location acquisition module 31 is used to acquire the location information of the road rage event if a road rage event is detected.

[0085] The road rage trigger video capture module 32 is used to determine at least one first target monitoring device based on the location information, and to capture the road rage trigger video from the video content monitored by the first target monitoring device.

[0086] The event type acquisition module 33 is used to identify the road rage trigger video and obtain the traffic event type that triggered the road rage emotion;

[0087] The traffic status notification module 34 is used to notify drivers within a preset range of the second target monitoring device of the corresponding traffic status when the traffic event type that triggers road rage is detected by at least one second target monitoring device.

[0088] In this embodiment, the device acquires the location information of a road rage event if the location acquisition module 31 detects it. The road rage trigger video extraction module 32 identifies at least one first target monitoring device based on the location information and extracts the road rage trigger video from the video content monitored by the first target monitoring device. The event type acquisition module 33 identifies the type of traffic event that triggered the road rage. The traffic status notification module 34, when the traffic event type triggering the road rage is detected by at least one second target monitoring device, informs drivers within a preset range of the second target monitoring device of the corresponding traffic status. This solution, through these means, can provide targeted advance road information notification to drivers after a road rage event occurs, thereby reducing the occurrence of road rage and achieving a better driving environment and road safety.

[0089] Furthermore, the road rage triggering video capture module 32 is specifically used for:

[0090] The device number determination unit is used to determine the device number of at least one first target monitoring device that matches the location information based on the location information.

[0091] The video content retrieval unit is used to retrieve the video content of the first target monitoring device according to the device number;

[0092] The road rage trigger video extraction unit is used to extract a video of a first preset time period before the occurrence of a road rage emotional event from the video content, or to extract a video of the first preset time period before the occurrence of a road rage emotional event and a video of the second preset time period after the occurrence of a road rage emotional event from the video content as the road rage trigger video.

[0093] Furthermore, the event type acquisition module 33 is specifically used for:

[0094] The road rage determination unit is used to perform vehicle dynamic recognition on the road rage trigger video to determine whether there is a driver of a vehicle who is experiencing road rage.

[0095] The scene information recognition unit is used to identify the scene information of the vehicle of a driver in a road rage state before the abnormal driving if the situation is as described.

[0096] The event type determination unit is used to determine the event type that triggers road rage based on the scenario information.

[0097] Furthermore, the types of events that trigger road rage include emergencies, traffic congestion, or uncivilized driving.

[0098] Furthermore, the device also includes:

[0099] The subclass construction module is used to construct the subclass to which the event type that triggers road rage belongs;

[0100] Furthermore, the event type determination unit is specifically used for:

[0101] Based on the scenario information, determine the type of event that triggers road rage and its subclass; wherein, the sudden event includes the subclass of yielding to pedestrians; the road congestion includes the subclasses of traffic accidents ahead and traffic control; and the uncivilized driving includes the subclasses of malicious cutting off other vehicles and driving against traffic.

[0102] Furthermore, the device also includes:

[0103] The high-incidence area identification module is used to statistically analyze the location information of road rage incidents and identify high-incidence areas of road rage incidents.

[0104] The monitoring equipment installation information generation module is used to determine whether there are monitoring devices in the high-incidence area. If not, it generates monitoring equipment installation information, which includes the location information of the high-incidence area.

[0105] The sensitive event type determination module is used to identify the traffic event types that trigger road rage after identifying the video of the road rage triggers, and then to statistically analyze the stress level of each driver for each type of traffic event that triggers road rage, and determine the sensitive event type for each driver.

[0106] Accordingly, the traffic status notification module 34 is specifically used for:

[0107] A driver determination unit is used to determine the driver within a preset range of the second target monitoring device when the type of traffic event that triggers road rage is detected by at least one second target monitoring device.

[0108] The target driver identification unit is used to identify the target driver whose sensitive event type is the type of traffic incident that currently triggers road rage.

[0109] The traffic status notification unit is used to inform the target driver of the traffic status.

[0110] The above-mentioned product can execute the advance notification method of road information provided in the embodiments of this application, and has the corresponding functional modules and beneficial effects of the execution method.

[0111] Example 4

[0112] Figure 4 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention, as shown below. Figure 4As shown, the electronic device includes: a processor 40, a memory 41, an input device 42, and an output device 43; the number of processors 40 in the electronic device can be one or more. Figure 4 Taking a processor 40 as an example; the processor 40, memory 41, input device 42, and output device 43 in the electronic device can be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0113] The memory 41, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the road information advance notification method in this embodiment of the invention (e.g., the location acquisition module 31, the road rage cause video capture module 32, the event type acquisition module 33, and the traffic status notification module 34 in the road information advance notification device). The processor 40 executes various functional applications and data processing of the device / terminal / server by running the software programs, instructions, and modules stored in the memory 41, thereby realizing the aforementioned advance notification of road information.

[0114] The memory 41 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a given function; the data storage area may store data created based on terminal usage. Furthermore, the memory 41 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory, or other non-volatile solid-state storage device. In some instances, the memory 41 may further include memory remotely located relative to the processor 40, which can be connected to the device / terminal / server via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0115] Input device 42 can be used to acquire location information of road rage occurrences and to identify the type of event that triggered the road rage from the video. Output device 43 may include informing drivers within a preset range of the target monitoring equipment of the traffic situation.

[0116] Example 5

[0117] Embodiment 5 of the present invention also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform a method for advance notification of road information, the method comprising:

[0118] If a road rage incident is detected, the location information of the road rage incident is obtained;

[0119] Based on the location information, at least one first target monitoring device is determined, and the video of the road rage trigger is extracted from the video content monitored by the first target monitoring device.

[0120] The video footage that triggered road rage was identified to determine the type of traffic incident that caused the road rage.

[0121] When a traffic event type that triggers road rage is detected by at least one second target monitoring device, the corresponding traffic status is communicated to drivers within a preset range of the second target monitoring device.

[0122] Of course, the computer-executable instructions provided in the embodiments of the present invention are not limited to the method operations described above, but can also perform related operations in the road information advance notification method provided in any embodiment of the present invention.

[0123] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0124] The road information advance notification device, medium, and electronic device provided in the above embodiments can execute the road information advance notification method provided in any embodiment of this application, and have the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in the above embodiments can be found in the road information advance notification method provided in any embodiment of this application.

[0125] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A method of advance notification of road surface information, characterized by, The method comprises: If a road rage emotional event is detected, acquiring position information of the road rage emotional event; Determining at least one first target monitoring device according to the position information, and intercepting road rage inducement video from video content monitored by the first target monitoring device; Identifying the road rage inducement video to obtain a traffic event type that triggers road rage emotion; When the traffic event type that triggers road rage emotion is collected by at least one second target monitoring device, informing drivers within a preset range of the second target monitoring device of the corresponding traffic state; The traffic event type that triggers road rage emotion includes a sudden event, a road congestion or an uncivil driving.

2. The method of claim 1, wherein, After identifying the road rage inducement video to obtain the traffic event type that triggers road rage emotion, the method further comprises: Statistically determining the stress degree of each driver to various traffic event types that trigger road rage emotion, and determining the sensitive event type of each driver; Correspondingly, when the traffic event type that triggers road rage emotion is collected by at least one second target monitoring device, informing drivers within a preset range of the second target monitoring device of the corresponding traffic state, comprises: When the traffic event type that triggers road rage emotion is collected by at least one second target monitoring device, determining the driver within a preset range of the second target monitoring device; Identifying a target driver whose sensitive event type is the traffic event type that triggers road rage emotion; Informing the target driver of the traffic state.

3. The method of claim 1, wherein, Before determining at least one first target monitoring device according to the position information, the method further comprises: Statistically determining the position information of the road rage emotional event to determine a high-incidence area of the road rage emotional event; Determining whether there is a monitoring device in the high-incidence area, and if not, generating monitoring device installation information; wherein the monitoring device installation information comprises the position information of the high-incidence area.

4. The method of claim 1, wherein, Determining at least one first target monitoring device according to the position information, and intercepting road rage inducement video from video content monitored by the first target monitoring device, comprises: Determining the device number of at least one first target monitoring device matched with the position information according to the position information; Accessing the video content of the first target monitoring device according to the device number; Intercepting the first preset period of video before the road rage emotional event from the video content, or intercepting the first preset period of video before the road rage emotional event and the second preset period of video after the road rage emotional event from the video content as road rage inducement video.

5. The method of claim 1, wherein, Identifying the road rage inducement video to obtain the traffic event type that triggers road rage emotion, comprises: Performing vehicle dynamic identification on the road rage inducement video to determine whether the driver of a vehicle is in road rage emotion; If yes, identifying the scene information of the vehicle of the driver in road rage emotion before abnormal driving; Determining the traffic event type that triggers road rage emotion according to the scene information.

6. The method of claim 5, wherein, The method further comprises: Building the sub-class of the traffic event type that triggers road rage emotion; Correspondingly, according to the scene information, a traffic event type causing the road rage emotion is determined, including: According to the scene information, a traffic event type causing the road rage emotion and a sub-class thereof are determined; wherein the sudden event includes a courtesy pedestrian sub-class; the road section congestion includes a front car accident sub-class and a traffic control sub-class; the uncivil driving includes a malicious overtaking sub-class and a reverse driving sub-class.

7. A device for advance notification of road information, characterized in that, The device includes: A position acquisition module, configured to acquire position information of the road rage emotion event if it is detected that the road rage emotion event occurs; A road rage inducement video interception module, configured to determine at least one first target monitoring device according to the position information, and intercept a road rage inducement video from video content monitored by the first target monitoring device; An event type acquisition module, configured to identify the road rage inducement video to obtain a traffic event type causing the road rage emotion; A traffic state notification module, configured to notify a driver within a preset range of at least one second target monitoring device of a corresponding traffic state when the traffic event type causing the road rage emotion is collected by the second target monitoring device; The traffic event type causing the road rage emotion includes a sudden event, a road section congestion, or uncivil driving.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the road surface information pre-notification method of any one of claims 1-6.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the road surface information pre-notification method of any one of claims 1-6.

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