Apparatus and method for providing traffic safety information
By identifying queue information in road sections with poor visibility and adjacent areas, traffic safety information is provided, solving the problem that drivers cannot identify queue situations in advance and reducing the occurrence of traffic accidents.
Patent Information
- Application Number
- CN202510672114.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-08-13
- Filing Date
- 2025-05-23
- Publication Date
- 2026-02-13
AI Technical Summary
In existing technologies, poor visibility on road sections prevents drivers from recognizing queues in advance, leading to rear-end collisions.
Traffic safety information is provided through traffic safety information provision devices and methods to identify road sections with poor visibility and queue information in adjacent areas, in order to notify or control vehicles.
It improves drivers' ability to identify queues ahead, reduces traffic accidents, and provides more accurate congestion information through queue estimation models.
Smart Images

Figure CN121528015A_ABST
Abstract
Description
Technical Field
[0001] Various embodiments of this disclosure relate to an apparatus and method for providing comprehensive traffic safety information that may occur in relation to vehicles and sight lines. Background Technology
[0002] Sight distance refers to the length of the road visible to the driver in front. Types of sight distance include stopping sight distance, overtaking sight distance, yielding sight distance, and decision sight distance.
[0003] Currently, some road sections have poor horizontal and vertical alignment, resulting in poor visibility for drivers. Therefore, when there are queues ahead due to traffic lights or congestion, drivers may not be able to recognize the queues in advance, leading to rear-end collisions.
[0004] The statements in this background section are provided only as background information in relation to this disclosure and do not constitute prior art. Summary of the Invention
[0005] A navigation-related system is needed to address the aforementioned problems from the vehicle's perspective. This disclosure aims to identify vehicle queues generated due to signal waiting and traffic congestion in road segments with poor visibility caused by road geometry or obstacles, and to provide overall traffic safety services (e.g., parking guidance).
[0006] This disclosure also aims to provide, through embodiments thereof, a queue estimation model that allows for easy estimation of queueing information.
[0007] This disclosure also aims to provide traffic safety information to vehicles at risk of collision in areas with poor visibility, for notification or control purposes.
[0008] The technical objectives of this disclosure are not limited to those described above, and based on the following description, those skilled in the art will understand other objectives not described above.
[0009] According to one aspect of this disclosure, a traffic safety information providing device includes: a communication unit for communicating with at least one of a vehicle and a server; and a control unit for selecting a road segment with poor visibility, identifying queuing information in an area adjacent to the road segment with poor visibility, and providing traffic safety information based on the road segment with poor visibility and the queuing information.
[0010] According to one aspect of this disclosure, a method for providing traffic safety information executed by a computing system includes: selecting a road segment with poor visibility; identifying queuing information in an area adjacent to the road segment with poor visibility; and providing traffic safety information based on the road segment with poor visibility and the queuing information. Attached Figure Description
[0011] The above and other objects, features, and advantages of this disclosure will become more apparent to those skilled in the art from the detailed description of embodiments of this disclosure in conjunction with the accompanying drawings, wherein:
[0012] Figure 1 This is a conceptual diagram illustrating a traffic safety information provision system according to various embodiments;
[0013] Figure 2 This is a block diagram illustrating a traffic safety information providing device according to various embodiments;
[0014] Figure 3 This is a flowchart illustrating the operation of providing traffic safety information in a traffic safety information providing device according to various embodiments;
[0015] Figure 4 and Figure 5 These are schematic diagrams illustrating poor visibility road sections and visibility measurement according to various embodiments;
[0016] Figure 6 This is a flowchart illustrating the operation of generating a queuing estimation model in a traffic safety information providing device according to various embodiments;
[0017] Figure 7 It is used to describe Figure 6 A schematic diagram illustrating the generation of the queuing estimation model;
[0018] Figure 8 This is a flowchart illustrating the operation of providing safety event signals in a traffic safety information providing device according to various embodiments;
[0019] Figure 9 It is used to describe Figure 8 The diagram shown illustrates the operation of providing security event signals; and
[0020] Figure 10 This is a flowchart illustrating the operation of a traffic safety information provision system according to various embodiments.
[0021] The accompanying drawings described herein are for illustrative purposes only and are not intended to limit the scope of this disclosure in any way. Detailed Implementation
[0022] The embodiments of this disclosure will now be described in detail with reference to the accompanying drawings.
[0023] However, the technical concept of this disclosure is not limited to the embodiments described herein, but can be implemented in various different forms, and one or more elements can be selectively combined or substituted for use within the scope of the technical concept of this disclosure.
[0024] Unless otherwise defined, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. It should also be understood that terms such as those defined in common dictionaries shall be interpreted as having the same meaning as their meaning in the relevant context.
[0025] The terminology used herein is for the purpose of describing and understanding the embodiments and is not intended to limit the scope and spirit of this disclosure.
[0026] It should be understood that the singular forms “a” and “one” also include the plural forms, and expressions such as “at least one (or one or more) of A, B, and C” should be understood to include one or more combinations of all combinations of A, B, and C. In this disclosure, each of the phrases such as “A or B,” “one of A and B,” “one of A or B,” “at least one of A and B,” “at least one of A or B,” “A, B, or C,” “at least one of A, B, and C,” “at least one of A, B, or C,” and “at least one of A, B, or C, or a combination thereof” can include any one or all possible combinations of the items listed in the corresponding phrase.
[0027] In describing the elements of embodiments of this disclosure, terms such as “first”, “second”, “A”, “B”, “(a)”, and “(b)” may be used.
[0028] These terms are used only to distinguish one component from other components and do not limit the nature, rank, or order of the components.
[0029] It should be understood that when a component is referred to as "connected" or "coupled" to another component, it can be directly connected or coupled to the other component, or there may be intermediate components. Conversely, when a component is referred to as "directly connected" or "directly coupled" to another component, there are no intermediate components.
[0030] Furthermore, when an element is described as being formed or arranged "above" or "below" another element, it can be in direct contact with the other element, or an intermediate element can be formed or arranged between the two elements. Additionally, when an element is described as being "above" or "below" another element, the term "above" or "below" can encompass both above and below directions.
[0031] In the “poor visibility section” described herein, the length of road visible ahead to the driver is less than or equal to a predetermined threshold. This threshold can be specified as a specific value in advance in the system, or it can be set or changed by road traffic policy. In other words, the “poor visibility section” described herein can refer to a road segment where the length of road visible ahead to the driver is less than or equal to the predetermined threshold. In this document, “poor visibility” can also mean “insufficient visibility” or “not enough visibility.” In this description, when a component is said to be “adjacent” to another component, this may mean that the component is close to, near, and / or adjacent to the other component, and / or that the component is located within a predetermined distance from the other component.
[0032] The term "queue" as used in this article can be interpreted as information about a specific traffic situation where multiple vehicles stop or fall below a predetermined speed value due to a signal or congestion. "Queue" in this article can refer to "traffic queue" or "congestion."
[0033] When a component, unit, module, controller, device, element, apparatus, etc., of this disclosure is described as having a purpose or performing an operation, function, etc., it shall be regarded herein as "configured" to satisfy that purpose or perform that operation or function. Each component, unit, module, controller, device, element, apparatus, etc., may be embodied separately by a processor and memory (e.g., a non-transitory computer-readable medium), or may include a processor and memory as part of an apparatus. Throughout this disclosure and the claims, if an aspect is considered to occur "when" or "when" another aspect of this disclosure has occurred, then that aspect may be considered to occur "in response" to or having occurred the other aspect.
[0034] Throughout this disclosure and the claims, if one aspect occurs "when" another aspect of this disclosure occurs or has occurred, then it can be said that the aspect occurs "in response" to the occurrence or occurrence of the other aspect.
[0035] The embodiments will now be described in detail with reference to the accompanying drawings, in which the same or corresponding parts are given the same reference numerals and repeated descriptions of the same elements are omitted.
[0036] Figure 1 This is a conceptual diagram illustrating a traffic safety information providing system 10 according to various embodiments.
[0037] The traffic safety information provision system 10 may include a vehicle 100, a server 200, a traffic safety information provision device 300, and a detection vehicle 400. The traffic safety information provision system 10 can provide traffic safety services by linking traffic light information, congestion information, and road geometry.
[0038] Vehicle 100 is a transportation device for receiving traffic safety information according to various embodiments of the present disclosure. Vehicle 100 can receive route information from server 200 based on route search, and can also receive integrated traffic safety information from server 200 or traffic safety information providing device 300. To this end, vehicle 100 can share data (e.g., route search data, image recognition information) for receiving route information and traffic safety information by communicating with at least a portion of the configuration of traffic safety information providing system 10 or an external server 500.
[0039] Server 200 is a device or program that provides navigation information, including traffic safety information, to vehicle 100. Server 200 can provide navigation information to vehicle 100 in response to receiving a route generation request based on vehicle 100's origin / destination. Furthermore, server 200 can send a road geometry database (DB) (e.g., map information, geographic information, etc.) used to determine road sections with poor visibility to traffic safety information providing device 300, and can provide traffic safety information received from traffic safety information providing device 300 to vehicle 100.
[0040] The traffic safety information providing device 300 performs the function of generating traffic safety information based on poor visibility road sections and queuing information, and providing the generated traffic safety information to the vehicle 100 or the server 200. Although the traffic safety information providing device 300 is shown as a separate device distinct from the vehicle 100 and the server 200, according to various embodiments, the traffic safety information providing device 300 can be configured to be included within the vehicle 100 or the server 200. For example, the configuration and embodiment of the control unit 320 and the storage unit 330 of the traffic safety information providing device 300 can be included in, or replaced by, the control unit and storage unit of the vehicle 100 or the server 200. Furthermore, the communication unit 310 of the traffic safety information providing device 300 can be included in, or replaced by, at least a portion of the configuration of the communication unit of the vehicle 100 or the server 200.
[0041] The traffic safety information providing device 300 can receive location information, speed information, image information, etc. from vehicle 100 or detection vehicle 400 in real time, periodically, or at any time from vehicle 100 or server 200.
[0042] The detection vehicle 400 is a vehicle equipped with devices that can provide third parties with information on the location of the detection vehicle 400 and the route information of the detection vehicle through the road network. The traffic safety information providing system 10 according to various embodiments of this disclosure can generate traffic safety information by utilizing the detection vehicle providing connected car services. For this purpose, the detection vehicle 400 can be equipped with a telematics terminal as a vehicle terminal. The detection vehicle 400 can acquire distances to preceding or following vehicles via sensors and share data by communicating with adjacent detection vehicles 400.
[0043] In at least some of the embodiments described in this disclosure, vehicle 100 may be assumed to be detection vehicle 400.
[0044] External server 500 provides various types of information to traffic safety information providing system 10 to generate traffic safety information. For example, external server 500 may include a server from the National Police Agency's Urban Traffic Center, which provides traffic light information (including signal cycles and current display information) and closed-circuit television (CCTV) video information. Furthermore, external server 500 may provide road geometry databases (DBs) to traffic safety information providing system 10 separately from server 200.
[0045] Figure 2 This is a block diagram illustrating a traffic safety information providing device 300 according to various embodiments.
[0046] The traffic safety information providing device 300 may include a communication unit 310, a control unit 320, and a storage unit 330.
[0047] The communication unit 310 connects the traffic safety information providing device 300 to at least one of the vehicle 100, server 200, detection vehicle 400, and external server 500. The communication unit 310 may include at least one of a mobile communication module, a wireless internet module, and a short-range communication module.
[0048] According to one embodiment, the mobile communication module can communicate with at least a portion of the configuration of the traffic safety information provision system 10 or an external server 500 through a mobile communication network constructed according to technical standards or communication methods used for mobile communication (e.g., Global System for Mobile Communications (GSM), Code Division Multiple Access (CDMA), CDMA2000, Enhanced Voice Data Optimized or Enhanced Voice Data Only (EV-DO), Wideband CDMA (WCDMA), High-Speed Downlink Packet Access (HSDPA), High-Speed Uplink Packet Access (HSUPA), Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), etc.), fourth-generation (4G) mobile communication, fifth-generation (5G) mobile communication, etc.).
[0049] According to one embodiment, the wireless internet module is a module for wireless internet access and can communicate with at least a portion of the configuration of the traffic safety information provision system 10 or an external server 500 via wireless local area network (WLAN), wireless fidelity (WiFi), WiFi Direct, Digital Living Network Alliance (DLNA), wireless broadband (WiBro), global microwave access interoperability (WiMAX), HSDPA, HSUPA, LTE, LTE-A, etc.
[0050] According to one embodiment, the short-range communication module can support the use of Bluetooth. TM It enables short-range communication using at least one of the following technologies: Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, Near Field Communication (NFC), and Wireless Universal Serial Bus (Wireless USB).
[0051] The control unit 320 can control the overall operation of the traffic safety information providing device 300 and the signal flow between the internal components of the traffic safety information providing device 300, and perform data processing functions for processing data. The control unit 320 may include at least one processor.
[0052] The processor can execute instructions stored in the memory of storage unit 330 to generate information or control components of the traffic safety information providing device 300. The processor can be configured to include a central processing unit (CPU), a microprocessor unit (MPU), a microcontroller unit (MCU), a graphics processing unit (GPU), or any type of processor known in the art.
[0053] Storage unit 330 may store data received from or generated by control unit 320, traffic safety information providing device 300, or other components of traffic safety information providing system 10. Storage unit 330 may include, for example, memory, cache, buffer, etc., and may be composed of software, firmware, hardware, or a combination of at least two of them. Memory may store instructions related to the control of traffic safety information providing device 300 and data used to generate information.
[0054] According to various embodiments, storage unit 330 may include program 331 and information DB 333.
[0055] Program 331 may include various types of algorithms and instructions for extracting poor visibility road sections, identifying queues, learning artificial intelligence (AI) based on CCTV video information and detected vehicle information, generating queue estimation models, and generating comprehensive traffic safety information according to various embodiments of this disclosure.
[0056] Information DB 333 may contain comprehensive traffic safety information and data shared or generated by the traffic safety information providing system 10 or external server 500 for generating the comprehensive traffic safety information. For example, Information DB 333 may store traffic light information (e.g., signal cycle and current display information, etc.) collected from external server 500 (e.g., a server of the National Police Agency's Urban Traffic Center), CCTV video information, etc., and may store road geometry DB received from server 200. Furthermore, Information DB 333 may store information collected by vehicle 100 or detection vehicle 400, such as sensor information, trajectory information, and quantity information. According to various embodiments, Information DB 333 may store first event signals, second event signals, etc., that send notification or control signals to vehicle 100 as components of the traffic safety information.
[0057] Figure 3 This is a flowchart of the operation of providing traffic safety information in a traffic safety information providing device according to various embodiments. Figure 3 At least some of the operations disclosed herein can be omitted or have their execution order changed, and specific operations can be added in various embodiments of this disclosure. Furthermore, the execution... Figure 3 The subject of each operation is described as the traffic safety information providing device 300, but is not limited thereto. Each operation can be executed by at least one of the following: the control unit 320 of the traffic safety information providing device 300, the instructions of the storage unit 330 of the traffic safety information providing device 300, the processor implemented in the vehicle 100 or the server 200, and the instructions stored in the memory.
[0058] According to various embodiments, the traffic safety information providing device 300 can select road sections with poor visibility (operation S310).
[0059] In areas with poor visibility, the length of road visible to the driver is limited. The traffic safety information providing device 300 can select areas with poor visibility using navigation map information and road geometry information (e.g., 3D geographic information), or it can extract areas with poor visibility based on image recognition information (e.g., specific obstacles identified by vehicle 100 or detection vehicle 400).
[0060] Therefore, referring to Figure 4 and Figure 5 . Figure 4 and Figure 5 This is a diagram showing the poor sight distance segment f extracted from the horizontal and vertical alignments by the road geometry DB, and the sight distance d measured from the horizontal and vertical alignments.
[0061] The traffic safety information providing device 300 can reference a road geometry-based database (which can be collected by server 200 or an external server 500, or pre-stored in storage unit 330). Figure 4 The shown horizontal lines and Figure 5 The vertical line shape shown is used to extract at least one poor sight distance segment f according to a predetermined strategy. The selection of the poor sight distance segment f can be automatically selected by determining the road slope, the curvature of the curve, etc., and specifying a certain range of areas based on a specific location, or it can be selected by user input. Furthermore, this selection can be achieved by referring to a pre-selected poor sight distance segment DB based on various strategies. The poor sight distance segment f can be extracted as a specific region or a specific coordinate interval in the image.
[0062] like Figure 4 and Figure 5 As shown, the traffic safety information providing device 300 can measure the driver's line of sight d at any point in a road segment with poor visibility f or a road segment adjacent to the road segment with poor visibility f. The operation of measuring the driver's line of sight d can be performed in real time, periodically, or at various arbitrary times, depending on the movement of the vehicle 100.
[0063] An example of a method for obtaining sight distance is as follows. Assuming the sight distance d is the stopping sight distance D, it can be calculated as follows:
[0064]
[0065] D: Parking sight distance (m)
[0066] d1: Distance traveled during the reaction time (m)
[0067] d2: Braking distance (m)
[0068] V: Driving speed (km / h)
[0069] t: Reaction time (typically 1 to 2.5 seconds)
[0070] f: Coefficient of longitudinal sliding friction when the road surface is wet and slippery.
[0071] However, the method for calculating the parking sight distance D can vary depending on road conditions (e.g., when there is a vertical slope) and can also vary depending on user settings.
[0072] Refer again Figure 3 The traffic safety information providing device 300 can identify queuing information (operation S330).
[0073] The traffic safety information providing device 300 can identify real-time queues from road segments such as signalized intersections or congested road sections. For example, when multiple vehicles stop or move below a predetermined speed due to signals or congestion in any road section, the traffic safety information providing device 300 can identify the corresponding road segment as queue information.
[0074] According to various embodiments, the traffic safety information providing device 300 can identify queuing information based on at least one of traffic light information, CCTV video information, and detected vehicle information.
[0075] The traffic safety information providing device 300 can identify queuing information in real time through CCTV video information. For example, the traffic safety information providing device 300 can collect images from CCTV on the road through an external server 500 and use tools such as deep learning-based XGBoost (Extreme Gradient Boosting) or Convolutional Neural Network (CNN) to identify the queue length of vehicles in traffic congestion. The criteria for traffic congestion can be preset within a range of predetermined speeds or intervals between predetermined number of vehicles, but this disclosure is not limited to this; various criteria can be used to calculate whether a queue of vehicles in traffic congestion exists and its length.
[0076] As described above, the traffic safety information providing device 300 can identify a relatively accurate queue length using CCTV video information. However, considering the constraints and speed changes that occur in real-time CCTV image collection, when a queue estimation model is generated based on AI-learned data, the approximate queue length can later be estimated using only specific information (e.g., detected vehicle information).
[0077] Specifically, the traffic safety information providing device 300 can generate a queuing estimation model. For this purpose, refer to... Figure 6 and Figure 7 . Figure 6 This is a flowchart illustrating the operation of generating a queuing estimation model in a traffic safety information providing device according to various embodiments. Figure 7 It is used to describe Figure 6 The diagram shows the generation of the queuing estimation model.
[0078] exist Figure 6 In operation S331, the traffic safety information providing device 300 can collect CCTV video information and detected vehicle information. Specifically, in order to generate a queuing estimation model based on AI deep learning, each of the CCTV video information and detected vehicle information can be composed of multiple accumulated data.
[0079] Reference Figure 7 This shows the long queues and traffic congestion on the road. Figure 7In this context, the vehicle driving information connected to the detection vehicles P1, P2, P3, and P4 at a specific time point on a specific road segment is mixed with that of general vehicles for which no information has been collected.
[0080] Traffic safety information providing device 300 can collect data from CCTV equipment via external server 500, such as... Figure 7 The queue image shown is used to identify the actual queue length based on collected CCTV video. The actual queue length can be calculated or identified in the database, for example, based on the video coverage specifications of the images collected from CCTV equipment, image analysis algorithms, and the previously known length of a specific road segment.
[0081] Furthermore, the traffic safety information providing device 300 can identify detection vehicle information from the detection vehicles P1, P2, P3, and P4 included in the collected CCTV video. The detection vehicle information may include at least one of, for example, the trajectory position of the detection vehicles, the number of detection vehicles, and the interval information between the detection vehicles.
[0082] The traffic safety information providing device 300 can implement a queue estimation model, which can estimate the queue length by learning from accumulated CCTV videos (as mentioned above, which can identify the actual queue length) and the detected vehicle information contained in each CCTV video (operation S333).
[0083] For example, the traffic safety information providing device 300 can learn, using AI tools (e.g., XGBoost), the actual queue length information identified from accumulated CCTV video of a specific congested road segment (such as... Figure 7 The queuing estimation model is generated using the information of the probe vehicles contained in each CCTV video (as shown in the image) and the probe vehicle information. During the learning process, the feature values can be set as the trajectory position of the probe vehicles, the number of probe vehicles, and the interval between probe vehicles, and the actual queue length can be specified as the label value.
[0084] Once the queue estimation model is generated, the traffic safety information providing device 300 can estimate the queue length using only detected vehicle information without CCTV video (operation S335). For example, the traffic safety information providing device 300 can collect real-time or new detected vehicle information for a specific road segment and apply the collected detected vehicle information to the queue estimation model, thereby inferring the real-time queue length. In this case, the detected vehicle information may include the number of detected vehicles 400 and the interval information between detected vehicles 400 as described above.
[0085] According to various embodiments, the traffic safety information providing device 300 may selectively provide first queuing information based on CCTV video information identification or second queuing information estimated by a queuing estimation model, depending on predetermined conditions.
[0086] For example, it may be difficult to use a queue estimation model when there are no detector vehicles 400 in a particular road segment. In this case, the traffic safety information providing device 300 may not collect detector vehicle information, but instead provide vehicle 100 or server 200 with queue information identified through CCTV video information or traffic safety information based on the identified queue information.
[0087] Another example is that a driver who learns of a queue ahead can request a more accurate identification of the queue length. In this case, the traffic safety information providing device 300 can provide the vehicle 100 or the server 200 with the queue length identified through CCTV video information (instead of the queue length estimated through a queue estimation model), or traffic safety information based on the identified queue length.
[0088] As described above, when either CCTV video information or vehicle detection information is missing or unreliable, the traffic safety information providing device 300 can automatically or selectively provide either first queuing information based on CCTV video information or second queuing information based on a queuing estimation model, either by default or according to the user's selection.
[0089] Refer again Figure 3 The traffic safety information providing device 300 can provide traffic safety information to vehicle 100 or server 200 (operation S350).
[0090] Traffic safety information can be at least one of the following: poor visibility road sections, queue information, queue estimation models, traffic light information, or comprehensive traffic safety information generated based on this information.
[0091] For example, the traffic safety information providing device 300 can provide the vehicle 100 or the server 200 with extracted road sections with poor visibility, queuing information collected from traffic lights ahead, or intersection information.
[0092] According to various embodiments, the traffic safety information providing device 300 can generate a safety event signal and provide the generated safety event signal to the vehicle 100 or the server 200. The safety event signal may be specific traffic safety information generated according to predetermined conditions.
[0093] Specifically, the traffic safety information providing device 300 can generate different safety event signals according to predetermined conditions, and provide at least one of the generated different safety event signals to the vehicle 100 or the server 200. (Refer to...) Figure 8 and Figure 9 Specific embodiments are described in detail. Figure 8 It is a detailed description Figure 3 The flowchart of operation S350 shown is as follows. Figure 9 It is used to describe Figure 8 A schematic diagram.
[0094] Reference Figure 8 The traffic safety information providing device 300 can generate a first safety event signal related to a notification when a first condition is met, and provide the generated first safety event signal (operation S351). The first condition may be, for example, whether the vehicle 100 has entered a road segment with poor visibility and whether at least one of the queue information has been identified within a predetermined range from the road segment with poor visibility, and the first safety event signal may be information related to the notification.
[0095] Specifically, when vehicle 100 enters a road segment with poor visibility f, traffic safety information providing device 300 can provide a first safety event signal to vehicle 100 or server 200 to generate notification content related to visibility information, text, audio, images, or video, and output it to the driver of vehicle 100, such as... Figure 9 As shown. In this case, the first condition may include not only whether vehicle 100 has entered the poor visibility section f, but also whether there is queuing information within a predetermined range from the poor visibility section f. The first safety event signal may be generated in advance for each scenario and stored in the storage unit 330, or it may be generated when the corresponding event occurs.
[0096] As described above, the first safety event signal may be information related to a notification instructing the driver to slow down or stop due to the identification of a road section with poor visibility and queuing information ahead. The first safety event signal may be a data signal configuring the notification-related information in the form of text, image, or audio, or it may be a control signal that causes the vehicle 100 or server 200 to convert the notification-related information into a signal in the form of text, image, or audio.
[0097] According to various embodiments, when a second condition is met, the traffic safety information providing device 300 can generate a second safety event signal and provide the generated second safety event signal (operation S353). The second condition may be, for example, whether the distance between vehicle 100 and the queue is less than or equal to a predetermined value (e.g., a specific parking sight distance value), and the second safety event signal may be a control signal controlling the driving (e.g., deceleration) of vehicle 100. For example, as... Figure 9 As shown, when vehicle 100 enters a road section with poor visibility, and the distance between vehicle 100 and the queue or the stopping visibility of vehicle 100 at that point is less than or equal to a predetermined value, traffic safety information providing device 300 can generate a drive control signal to control the speed of vehicle 100 and send the generated drive control signal to vehicle 100 or server 200.
[0098] By providing passive and active traffic safety services based on different conditions as described above, more efficient traffic safety services can be provided for road sections with poor visibility.
[0099] Figure 10 This is a flowchart describing the operation of a traffic safety information providing system 10 according to various embodiments.
[0100] Figure 10 The traffic safety information providing system 10 described herein may include a vehicle 100, a server 200 and a traffic safety information providing device 300, and for ease of description, an external server 500 is also described in addition. Figure 10 At least some of the operations disclosed herein may be omitted or may be performed in a different order, and specific operations may be added in various embodiments of this disclosure.
[0101] For ease of description, let's assume... Figure 10 The vehicle 100 described herein has the capability to detect vehicle 400. Furthermore, through... Figure 1-9 The described embodiments can be applied in the same way. Figure 10 The various operations that have been made public.
[0102] First, the vehicle 100, server 200, and traffic safety information providing device 300 can share traffic and vehicle-related data (operation S1005). For example, the vehicle 100 can provide at least one of trajectory data, route search data, image recognition information, and sensor information collected by sensors to the server 200 and traffic safety information providing device 300.
[0103] Vehicle 100 can request server 200 to generate a travel route based on origin / destination (operation S1010).
[0104] The traffic safety information providing device 300 can receive CCTV video information and traffic light information from an external server 500 (operation S1015).
[0105] The traffic safety information providing device 300 can process the required data in stages based on information collected from vehicle 100, server 200 and external server 500.
[0106] The traffic safety information providing device 300 can identify road sections with poor visibility (operation S1020).
[0107] The traffic safety information providing device 300 can identify queue information (operation S1025). In order to identify queue information, the traffic safety information providing device 300 can identify the queue length in real time, or estimate the queue length by reflecting further detected vehicle information after implementing the queue estimation model.
[0108] The traffic safety information providing device 300 can generate traffic safety information for determining the safety level of road sections with poor visibility based on at least one of poor visibility road sections, traffic light information, and queuing information (operation S1030). The traffic safety information may include safety event signals (e.g., a first safety event signal, a second safety event signal) generated independently according to predetermined conditions.
[0109] The traffic safety information providing device 300 can provide the generated traffic safety information to vehicle 100 or server 200 (operation S1035). The traffic safety information providing device 300 can provide comprehensive traffic safety information to vehicle 100 or server 200, including information on poor visibility road sections, queue information, traffic light information, and vehicle detection information, as well as other traffic safety information, all considered in relation to the traffic safety information. This information transmission can occur once, or it can be transmitted in real-time, periodically, or multiple times at any point in time.
[0110] Server 200 can generate a travel route based on the origin / destination according to the request received from vehicle 100 (S1040), and send the generated travel route information and comprehensive traffic safety information to vehicle 100 (operation S1045).
[0111] According to various embodiments, server 200 can send comprehensive traffic safety information, such that the time and range for sending comprehensive traffic safety information to vehicle 100 can be selectively set according to the location or route of vehicle 100.
[0112] For example, server 200 can provide vehicle 100 with comprehensive traffic safety information within a predetermined area based on the real-time changing location of vehicle 100 according to its movement. Therefore, comprehensive traffic safety information corresponding to at least a portion of the entire movement route of vehicle 100 can be provided to vehicle 100 intermittently.
[0113] As another example, when vehicle 100 enters a road section with poor visibility, or when queuing information is detected after entering a road section with poor visibility, server 200 can provide comprehensive traffic safety information corresponding to the situation.
[0114] When comprehensive traffic safety information is sent from the traffic safety information providing device 300 to the vehicle 100 or the server 200 in operation S1035, the embodiments described in operation S1045 can also be applied. However, this disclosure is not limited thereto, and the server 200 or the traffic safety information providing device 300 may also provide all information to the vehicle 100 at once.
[0115] The traffic safety information providing device 300 can generate additional traffic safety information based on the occurrence of a predetermined event, and provide the additional traffic safety information to the vehicle 100 or the server 200 (operation S1050). The traffic safety information providing device 300 can selectively generate a first safety event signal and a second safety event signal based on a first condition and a second condition, and provide the first safety event signal and the second safety event signal to the server 200 or the vehicle 100.
[0116] In this specification, the term "unit" includes units implemented in hardware, units implemented in software, and units implemented in both. Furthermore, a unit can be implemented by two or more hardware components, or two or more units can be implemented by one hardware component. However, it should be understood that the term "unit" is not limited to software or hardware elements. A "unit" can be implemented in addressable storage media. A "unit" can also be configured to reproduce one or more processors. For example, a "unit" can include various types of elements (e.g., software elements, object-oriented software elements, class elements, task elements, etc.), segments (e.g., processes, functions, attributes, procedures, subroutines, program code, etc.), drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, variables, etc. The functionality provided by elements and "units" can be formed by combining them into a smaller number of elements and "units," or can be split into additional elements and "units." Furthermore, elements and "units" can also be implemented to reproduce one or more CPUs in a device or secure multi-card.
[0117] As can be seen from the above, according to the embodiments of this disclosure, by identifying road sections with poor visibility and queue information ahead, and providing traffic safety information, drivers can identify queues ahead in advance and respond accordingly. Therefore, by slowing down in response to unexpected traffic congestion, traffic accidents can be reduced.
[0118] Furthermore, by providing queue estimation models that can estimate queue lengths, it becomes easier to infer information about traffic congestion ahead.
[0119] Furthermore, by passively or actively providing traffic safety information to notify or control vehicles at risk of collision in areas with poor visibility, the occurrence of vehicle safety accidents can be minimized.
[0120] Although embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, those skilled in the art to which this disclosure pertains should understand that various modifications and alterations can be made without departing from the technical spirit or essential characteristics of the present disclosure.
Claims
1. A traffic safety information providing device, the device comprising: The communication unit is configured to communicate with at least one of the vehicle and the server. and The control unit is configured as follows: Choose road sections with poor visibility; Identify queuing information in areas adjacent to the poor visibility road segment; as well as Traffic safety information is provided based on the poor visibility road sections and the queuing information.
2. The apparatus according to claim 1, wherein, The control unit is also configured to: The poor visibility road segment is selected based on at least one of image recognition information and road geometry information.
3. The apparatus according to claim 1, wherein, The control unit is also configured to: The queuing information is identified based on at least one of CCTV video information and detection vehicle information, wherein the detection vehicle is capable of communicating with the communication unit.
4. The apparatus according to claim 1, wherein, The control unit is also configured to: A queuing estimation model is generated based on the accumulated CCTV video information and the accumulated detected vehicle information of a specific queuing section.
5. The apparatus according to claim 4, wherein, The control unit is also configured to: Collect new vehicle information for the specific queuing sections; and The newly collected information on the detected vehicles is applied to the queue estimation model to estimate the queue length.
6. The apparatus according to claim 5, wherein, The control unit is also configured to: Based on predetermined conditions, one of the first queuing information identified based on the CCTV video information and the second queuing information estimated by the queuing estimation model is selectively provided.
7. The apparatus according to claim 1, wherein, The control unit is also configured to: It also provides traffic safety information based on traffic light data.
8. The apparatus according to claim 1, wherein, The control unit is also configured to: Based on predetermined conditions, different security event signals are generated; and Provide traffic safety information including at least one different safety event signal generated.
9. The apparatus according to claim 8, wherein, The control unit is also configured to: In response to the vehicle meeting the first condition, a first safety event signal related to the notification is provided.
10. The apparatus according to claim 9, wherein, The control unit is also configured to: In response to the vehicle meeting the second condition, a second safety event signal related to the vehicle's driving is provided.
11. A method for providing traffic safety information executed by a computing system, the method comprising the following steps: Choose road sections with poor visibility; Identify queuing information in areas adjacent to the poor visibility road segment; as well as Traffic safety information is provided based on the poor visibility road sections and the queuing information.
12. The method according to claim 11, wherein, The steps for selecting the road section with poor visibility include: The poor visibility road segment is selected based on at least one of image recognition information and road geometry information.
13. The method according to claim 11, wherein, The steps for identifying the queue information include: The queuing information is identified based on at least one of CCTV video information and vehicle detection information.
14. The method according to claim 11, wherein, The steps for identifying the queue information include: A queuing estimation model is generated based on the accumulated CCTV video information and the accumulated detected vehicle information of a specific queuing section.
15. The method according to claim 14, wherein, The steps for identifying the queue information include: Collect new vehicle information for the specific queuing sections; and The newly collected information on the detected vehicles is applied to the queue estimation model to estimate the queue length.
16. The method of claim 15, further comprising the step of: Based on predetermined conditions, one of the first queuing information identified based on the CCTV video information and the second queuing information estimated by the queuing estimation model is selectively provided.
17. The method according to claim 11, wherein, The traffic safety information is generated based on traffic light information.
18. The method according to claim 11, wherein, The steps for providing traffic safety information include: Based on predetermined conditions, different security event signals are generated; and Provide traffic safety information including at least one different safety event signal generated.
19. The method according to claim 18, wherein, The steps for providing traffic safety information include: When the vehicle meets the first condition, a first safety event signal related to the notification is provided.
20. The method according to claim 19, wherein, The steps for providing traffic safety information include: When the vehicle meets the second condition, a second safety event signal related to driving is provided.