Smart traffic-light guidance system for crosswalk
The smart traffic light guidance system for crosswalks addresses the limitations of existing systems by using LED lights and sign panels that adapt to environmental conditions and pedestrian density, providing effective guidance and reducing pollution at crosswalks without traffic lights.
Patent Information
- Application Number
- PCT/KR2024/010722
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-12-06
- Filing Date
- 2024-07-24
- Publication Date
- 2025-06-12
AI Technical Summary
Existing floor signal lights and block-type lighting systems for crosswalks require synchronization with installed crosswalk signal lights, making them unsuitable for crosswalks without traffic lights, and they do not effectively adapt to environmental conditions or pedestrian density.
A smart traffic light guidance system for crosswalks using LED lights and sign panels, equipped with sensors to detect environmental conditions and pedestrian density, which adjusts the brightness of LED modules and the volume of voice output modules accordingly, and can operate independently of installed traffic lights.
The system provides effective guidance to pedestrians and drivers at crosswalks without traffic lights, reduces light and noise pollution by adapting to environmental conditions, and improves safety by dynamically adjusting guidance based on pedestrian density and approaching vehicle speed.
Smart Images

Figure KR2024010722_12062025_PF_FP_ABST
Abstract
Description
Smart traffic light guidance system for crosswalks
[0001] The present disclosure relates to a traffic light guidance system for a crosswalk, and more specifically, to a smart traffic light guidance system for a crosswalk that uses LED lights and sign panels to inform pedestrians and drivers of whether they can stop or move in response to a traffic light signal.
[0002]
[0003] In general, a crosswalk refers to a place designated for pedestrian crossing by road signs or markings according to the Road Traffic Act.
[0004] However, there are frequent cases of accidents occurring because drivers fail to quickly spot crosswalks when driving at night, and recently, the frequency of accidents occurring due to pedestrians walking with their heads down due to smartphone use has been increasing.
[0005] Accordingly, a technology has been proposed for a floor signal light that is controlled in conjunction with a crosswalk signal light on the sidewalk near a crosswalk or on the floor within a crosswalk. Korean Patent Publication No. 10-2009-0085239 discloses a floor-embedded signal light, and Korean Patent Registration No. 10-0679852 discloses a lighting system that has the same specifications as a sidewalk block, forms a space inside, and embeds a lighting device that emits light upward, and controls the lighting device to operate like a traffic light in conjunction with a pedestrian signal light of a crosswalk.
[0006] However, the previously disclosed floor signal lights and block-type lighting systems are controlled in conjunction with the signal lights installed on crosswalks, so there is a problem in that they are difficult to apply to crosswalks without signal lights.
[0007] Therefore, research is needed on a smart traffic light guidance system for crosswalks that can be applied even to crosswalks without traffic lights, and can prevent light pollution and noise pollution in advance by controlling the output signals of the LED module and voice output module according to the ambient environmental illumination and pedestrian density.
[0008]
[0009] The purpose of the present disclosure is to provide a smart traffic light guidance system for a crosswalk that uses LED lights and sign panels to inform pedestrians and drivers of whether they can stop or move in response to traffic light signals.
[0010] In addition, the purpose of the present disclosure is to provide a smart traffic light guidance system for a crosswalk that can prevent air pollution and noise pollution in advance by controlling the brightness of an LED module in response to the surrounding environment and calculating the density of pedestrians waiting at a crosswalk to adjust the volume of a voice output module.
[0011] The problems to be solved by the present disclosure are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.
[0012]
[0013] According to one embodiment of the present disclosure, a smart traffic light guidance system for a crosswalk comprises: a pillar-shaped post; an LED module provided at the bottom of the post and emitting an LED beam toward at least one of a direction parallel to a pedestrian stop line of a crosswalk and a direction perpendicular to the pedestrian stop line; an LED display device provided at the rear or front of the post; a plurality of types of sensors provided on one side of an outer surface of the post and detecting information related to the surrounding environment of the post; a voice output module provided on the other side of the outer surface of the post and outputting a message to be provided to at least one of a pedestrian or a driver; And at least one processor controlling the LED module, the LED display device, the plurality of types of sensors, and the voice output module, wherein the at least one processor identifies whether a pedestrian exists in a first area based on a walking direction of the crosswalk based on data collected from at least one of a human body detection sensor and an infrared sensor among the plurality of types of sensors, and, based on the identification that a first pedestrian exists in the first area, receives signal information from a signal device installed on the crosswalk, and outputs a control message generated based on the received signal information through the LED display device and the voice output module, and based on the speed of a vehicle approaching the crosswalk detected through a speed detection sensor among the plurality of types of sensors exceeding a first threshold value, and the time required for the signal information to be switched from a pedestrian stop signal to a pedestrian walk signal being equal to or less than a second threshold value, outputs a yellow LED beam indicating a deceleration message requesting deceleration through the LED module in a direction perpendicular to the pedestrian stop line.
[0014] And, the plurality of types of sensors include a light sensor, a rain detection sensor, and a fog detection sensor, and the one or more processors can obtain light data in a second area based on the post through the light sensor, obtain precipitation data in the second area through the rain detection sensor, obtain the amount of fog in the second area through the fog detection sensor, obtain a first intermediate value by applying a first weight to the light data, obtain a second intermediate value by applying a second weight to the precipitation data, obtain a third intermediate value by applying a third weight to the amount of fog, obtain an LED brightness control value corresponding to a final value obtained by adding the first intermediate value, the second intermediate value, and the third intermediate value, and adjust the intensity of an LED beam irradiated by the LED module and the LED brightness of the LED display device based on the LED brightness control value.
[0015] And, the one or more processors may calculate a pedestrian density within the first area based on data collected from at least one of the human body detection sensor and the infrared sensor, calculate a vehicle density within the first area based on data collected from at least one of the speed detection sensor and the infrared sensor, and based on the pedestrian density and the vehicle density, i) LED brightness of the LED module and the LED display device, ii) intensity and thickness of an LED beam emitted through the LED module, and iii) volume of a voice message output through the voice output module may be determined.
[0016] And, the post further includes a recognition module including at least one of an NFC (near field communication) module, an RFID (Radio-Frequency Identification) module, and an IC module; and based on tagging of a first terminal device used by the first pedestrian to the recognition module, the illuminance data, the precipitation data, the fog amount, and the signal information can be transmitted to the first terminal device through at least one of the NFC module, the RFID module, and the IC module.
[0017] And, the one or more processors may obtain a moving speed of each of a plurality of pedestrians crossing the crosswalk based on data obtained through the human body detection sensor, the infrared sensor, and the image sensor among the plurality of types of sensors, determine whether a second pedestrian having the slowest moving speed among the plurality of pedestrians can cross the crosswalk within a specific time period corresponding to the pedestrian walk signal, and output a message including information about the second pedestrian through the LED display device and the voice output module based on a determination that the second pedestrian will not be able to cross the crosswalk within the specific time period, and control the LED module to emit an LED beam in an area corresponding to the current location of the second pedestrian.
[0018] In addition, a computer program stored in a computer-readable recording medium for executing the present disclosure may be further provided.
[0019] In addition, a computer-readable recording medium recording a computer program for executing a method for implementing the present disclosure may be further provided.
[0020]
[0021] According to various embodiments of the present disclosure, a smart traffic light guidance system for a crosswalk can be provided that uses LED lights and sign panels to inform pedestrians and drivers of whether they can stop or move in response to traffic light signals.
[0022] In addition, according to various embodiments of the present disclosure, a smart traffic light guidance system for a crosswalk can be provided that can control the brightness of an LED module in response to the surrounding environment and adjust the volume of a voice output module by calculating the density of pedestrians waiting at a crosswalk, thereby preventing air pollution and noise pollution in advance.
[0023] In addition, by various embodiments of the present disclosure, the brightness of the LED module can be controlled in response to the surrounding environment, and the volume of the voice output module can be adjusted by calculating the density of pedestrians waiting at a crosswalk, thereby achieving the effect of preventing air pollution and noise pollution in advance.
[0024] In addition, by various embodiments of the present disclosure, it is possible to detect whether an accident has occurred near a crosswalk, including a photographing means for collecting road images, and, when an accident occurs, store the accident images on a designated server, thereby providing reference materials for traffic accident disputes such as hit-and-run accidents at the request of the accident victim and the police.
[0025] The effects of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.
[0026]
[0027] FIG. 1 is a drawing for explaining a smart traffic light guidance system for a crosswalk according to one embodiment of the present disclosure.
[0028] FIG. 2 is a drawing for explaining the configuration of a post in a smart traffic light guidance system for a crosswalk according to one embodiment of the present disclosure.
[0029] FIG. 3 is a drawing for explaining the configuration of a post according to one embodiment of the present disclosure.
[0030]
[0031] The advantages and features of the present disclosure, and methods for achieving them, will become clearer with reference to the embodiments described below in detail with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below and may be implemented in various different forms. These embodiments are provided solely to ensure that the disclosure is complete and to fully inform those skilled in the art of the scope of the present disclosure, and the present disclosure is defined solely by the scope of the claims.
[0032] The terminology used herein is for the purpose of describing embodiments and is not intended to limit the present disclosure. In this specification, singular forms also include plural forms, unless specifically stated otherwise. As used herein, the terms "comprises" and / or "comprising" do not exclude the presence or addition of one or more other components in addition to the components mentioned.
[0033] Throughout the specification, the same reference numerals refer to the same elements, and the term "and / or" includes each and every combination of the elements mentioned. Although terms such as "first," "second," etc. are used to describe various elements, these elements are not limited by these terms. These terms are merely used to distinguish one element from another. Accordingly, it should be understood that a first element mentioned below may also be a second element within the technical scope of the present disclosure.
[0034] Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used in their common sense to those of ordinary skill in the art to which this disclosure pertains. Furthermore, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless explicitly and specifically defined otherwise.
[0035] Spatially relative terms such as "below," "beneath," "lower," "above," and "upper" may be used to easily describe the relationship of one component to another, as illustrated in the drawings. Spatially relative terms should be understood to include different orientations of components during use or operation in addition to the orientations illustrated in the drawings.
[0036] For example, if a component depicted in a drawing is flipped, a component described as "below" or "beneath" another component may be positioned "above" the other component. Thus, the exemplary term "below" may encompass both the above and below orientations. Components may also be oriented in other directions, and thus spatially relative terms may be interpreted based on their orientation.
[0037] In describing the present disclosure, "pedestrian" may collectively refer to a person attempting to cross a crosswalk. Furthermore, "signal device" may collectively refer to a (smart) traffic light or the like that provides signal guidance to vehicles crossing a crosswalk.
[0038] Below, we will describe a smart traffic light guidance system for crosswalks.
[0039] FIG. 1 is a drawing for explaining a smart traffic light guidance system for a crosswalk according to one embodiment of the present disclosure.
[0040] As illustrated in FIG. 1, a smart traffic light guidance system (1000) for a crosswalk may include a post (100), terminal devices (200-1, 200-2, ..., 200-N) used by multiple pedestrians (N is a natural number greater than or equal to 1), and a signal device (e.g., a smart traffic light, etc.) (300).
[0041] Although the terminal devices (200-1, 200-2, ..., 200-N) used by multiple pedestrians in FIG. 1 are illustrated as being implemented in the form of smartphones, they are not limited thereto. The terminal devices (200-1, 200-2, ..., 200-N) used by multiple pedestrians may be implemented as various types of electronic devices (e.g., wearable devices, tablet PCs, etc.).
[0042] The post (100) included in the system (1000), terminal devices (200-1, 200-2, ..., 200-N) used by multiple pedestrians (N is a natural number greater than or equal to 1) and signal devices (e.g., smart traffic lights, etc.) (300) can communicate via a network (W).
[0043] Here, the network (W) may include wired networks and wireless networks. For example, the network may include various networks such as a local area network (LAN), a metropolitan area network (MAN), and a wide area network (WAN).
[0044] Additionally, the network (W) may include the well-known World Wide Web (WWW). However, the network (W) according to the embodiment of the present disclosure is not limited to the networks listed above, and may include at least a portion of a well-known wireless data network, a well-known telephone network, or a well-known wired / wireless television network.
[0045] The post (100) may be provided in the shape of a (square) pillar with an internal mounting space. The post (100) may provide various functions related to a smart traffic light guidance system (1000) for crosswalks.
[0046] The post (100) can recognize the surroundings of a crosswalk through data acquired through various sensors and provide guidance functions tailored to the recognized situation. The post (100) can provide signal-related guidance messages through various LED modules, displays, or speakers (i.e., voice output modules).
[0047] Terminal devices (200-1, 200-2, ... 200-N) used by multiple pedestrians can exchange various data with the post (100). For example, terminal devices (200-1, 200-2, ... 200-N) used by multiple pedestrians can receive and output various sensing data from the post (100). Through this, terminal devices (200-1, 200-2, ... 200-N) used by multiple pedestrians can efficiently provide various data stored by the post (100) to the pedestrians.
[0048] The signal device (300) can transmit predefined signal information to the post (100). That is, the signal device (300) can share signal information for guiding a vehicle driving across a crosswalk with the post (100), and the post (100) can generate various guidance messages based on the shared signal information.
[0049] FIG. 2 is a drawing for explaining the configuration of a post in a smart traffic light guidance system for a crosswalk according to one embodiment of the present disclosure.
[0050] As illustrated in FIG. 2, the post (100) may include a memory (110), a communication module (120), an LED display device (130), an LED module (140), a sensor (150), and a processor (160). However, the present invention is not limited thereto, and the software and hardware configuration of the post (100) may be modified / added / omitted within a range apparent to those skilled in the art according to the required operation.
[0051] The memory (110) can store data supporting various functions of the post (100), programs for the operation of the processor (160), data input / output, and a plurality of application programs (or applications) running on the post (100), data for the operation of the post (100), and commands. At least some of these application programs can be downloaded from an external server via wireless communication.
[0052] The memory (110) may include at least one type of storage medium among a flash memory type, a hard disk type, an SSD (Solid State Disk type), an SDD (Silicon Disk Drive type), a multimedia card micro type, a card type memory (e.g., SD or XD memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and an optical disk. In addition, the memory (110) may be a database that is separate from the post (100) but is connected by wire or wirelessly.
[0053] The communication module (120) may include one or more components that enable communication with external devices (e.g., terminal devices and signal devices used by multiple pedestrians, etc.), and may include, for example, at least one of a wireless communication module or a location information module.
[0054] Here, the wireless communication module may include a wireless communication module that supports various wireless communication methods such as GSM (global System for Mobile Communication), CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), UMTS (universal mobile telecommunications system), TDMA (Time Division Multiple Access), LTE (Long Term Evolution), 4G, 5G, and 6G, in addition to a WiFi module and a Wireless Broadband module.
[0055] The wireless communication module may include a wireless communication interface including an antenna and a transmitter for transmitting various signals. Furthermore, the wireless communication module may further include a signal conversion module that modulates a digital control signal output from the control unit through the wireless communication interface into an analog wireless signal under the control of the control unit.
[0056] The wireless communication module may include a wireless communication interface including an antenna and a receiver for receiving various signals. Furthermore, the wireless communication module may further include a signal conversion module for demodulating analog wireless signals received through the wireless communication interface into digital control signals.
[0057] The LED display device (130) may be provided on the rear or front of the post (100) and displays (outputs) information processed within the post (100). For example, the LED display device (130) may display execution screen information of an application program (e.g., an application) running on the post (100), or UI (User Interface) or GUI (Graphical User Interface) information according to such execution screen information.
[0058] Additionally, the LED display device (130) may include multiple LED elements and may control the multiple LED elements to display a specific message / phrase (e.g., “walking”).
[0059] The LED display device (130) may be equipped with a built-in voice output module, which may output a message to be provided to at least one of a pedestrian or a driver. However, this is merely an example, and the voice output module may be separately provided on the other side of the outer surface of the post (100).
[0060] The LED module (140) is installed at the bottom / top of the post (110) and can irradiate an LED beam toward at least one direction among the direction parallel to the pedestrian stop line of the crosswalk and the direction perpendicular to the pedestrian stop line.
[0061] A sensor (150) may collectively refer to a plurality of sensors that can detect information related to the surrounding environment of a post (e.g., pedestrians, vehicles located around the post / crosswalk, weather around the post / crosswalk, etc.).
[0062] For example, the sensor (150) may include a human body detection sensor, an infrared sensor, a light sensor, a speed detection sensor, a rain detection sensor, an image sensor, and a fog detection sensor. The sensors described above may be provided on one side of the outer surface of the post (100), but are not limited thereto. The sensors described above may be provided at various locations on the post (100).
[0063] The processor (160) may be implemented as a memory storing data for an algorithm for controlling the operation of components within the post (100) or a program reproducing the algorithm, and at least one processor (not shown) that performs the aforementioned operations using the data stored in the memory. In this case, the memory and processor may each be implemented as separate chips. Alternatively, the memory and processor may be implemented as a single chip.
[0064] As an example of the present disclosure, the processor (160) can identify whether a pedestrian exists within a first area based on the walking direction of the crosswalk based on data collected from at least one of a human body detection sensor and an infrared sensor among a plurality of types of sensors.
[0065] A human body detection sensor and / or an infrared sensor can obtain sensing data capable of identifying the presence or absence of at least one object within a first area based on a post (100) and movement information of the at least one object. Here, the first area may include an area where a crosswalk exists.
[0066] The processor (160) can identify whether a pedestrian exists within the first area through sensing data obtained from a human body detection sensor and / or an infrared sensor.
[0067] Based on the identification that a first pedestrian exists within the first area, the processor (160) can receive signal information from a signal device installed at a crosswalk and output a control message generated based on the received signal information through an LED display device and a voice output module.
[0068] Specifically, the processor (160) can receive signal information from a signal device through the communication module (120). Here, the signal information can include information on a pedestrian stop signal or / and a vehicle stop / drive signal provided by the signal device based on the current point in time.
[0069] Additionally, the signal information may include the time required to transition from a pedestrian stop signal to a pedestrian walk signal and / or the time required to transition from a pedestrian protection signal to a pedestrian stop signal.
[0070] For example, when receiving signal information indicating that a pedestrian stop signal is currently being output from a signal device, the processor (160) may irradiate a red LED beam through the LED module (140) in a direction parallel to the pedestrian stop line of the crosswalk. At the same time, the processor (160) may periodically output a message requesting pedestrians to stop through the voice output module.
[0071] As another example, when signal information indicating that a current vehicle stop signal is being output from a signal device is received, the processor (160) may irradiate a green LED beam through the LED module (140) in a direction parallel to the pedestrian stop line of the crosswalk. At the same time, the processor (160) may irradiate a red LED beam through the LED module (140) on the floor in a direction perpendicular to the pedestrian stop line of the crosswalk, and may periodically output a message requesting pedestrians to cross the crosswalk through the voice output module.
[0072] As an example of the present disclosure, based on the fact that the speed of a vehicle approaching a crosswalk detected by a speed detection sensor exceeds a first threshold value and the time required for signal information to change from a pedestrian stop signal to a pedestrian walk signal is less than or equal to a second threshold value, the processor (160) may output a yellow LED beam indicating a deceleration message requesting deceleration through the LED module (140) in a direction perpendicular to the pedestrian stop line.
[0073] As an example of the present disclosure, the processor (160) may obtain illuminance data within a second area based on the post (100) through an illuminance sensor. The processor (160) may obtain precipitation data within the second area through a rain detection sensor. The processor (160) may obtain fog data within the second area through a fog detection sensor. Here, the second area may be the same as the first area, but is not limited thereto. The second area may refer to an area larger than the first area based on the post (100).
[0074] The processor (160) can obtain a first intermediate value by applying a first weight (e.g., the first weight is negative / positive) to the illuminance data, obtain a second intermediate value by applying a second weight to the precipitation data, and obtain a third intermediate value by applying a third weight to the fog data.
[0075] The processor (160) can obtain an LED brightness adjustment value corresponding to a final value obtained by adding the first intermediate value, the second intermediate value, and the third intermediate value. A higher final value may indicate that the pedestrian is less able to clearly see the LED beam output from the LED module (140) and / or the LED display device (130) due to environmental factors. Therefore, the size of the final value may be predefined to be proportional to the brightness of the LED beam.
[0076] The processor (160) can adjust the intensity of the LED beam irradiated by the LED module (140) and the LED brightness of the LED display device (130) based on the LED brightness control value. For example, if the LED brightness control value is obtained as a large value, the processor (160) can set the intensity of the LED beam irradiated by the LED module (140) and the LED brightness of the LED display device (130) to a high value.
[0077] Additionally, the processor (160) may calculate the pedestrian density within the first area based on data collected from at least one of a human body detection sensor and an infrared sensor. Furthermore, the processor (160) may calculate the vehicle density within the first area based on data collected from at least one of a speed detection sensor and an infrared sensor.
[0078] And, the processor (160) can determine i) the LED brightness of the LED module (140) and the LED display device (130), ii) the intensity and thickness of the LED beam emitted through the LED module (140), and iii) the volume of the voice message output through the voice output module based on the pedestrian density and the vehicle density.
[0079] For example, as the pedestrian density and vehicle density increase, the processor (160) may set the LED brightness of the LED module (140) and the LED display device (130) to a higher value.
[0080] For example, the processor (160) may obtain a fourth intermediate value by applying a fourth weighting factor to the pedestrian density and vehicle density. The processor (160) may obtain an LED brightness adjustment value corresponding to a final value obtained by adding the first intermediate value, the second intermediate value, the third intermediate value, and the fourth intermediate value. That is, the processor (160) may adjust the LED brightness adjustment value by referring to the pedestrian density and vehicle density within the first area in addition to the illuminance data, precipitation data, and fog amount within the second area.
[0081] Additionally, as the pedestrian density and vehicle density increase, the processor (160) can set the intensity and thickness of the LED beam emitted through the LED module (140) to a higher value, and determine the volume of the voice message output through the voice output module.
[0082] Additionally, the post (100) may include a recognition module including at least one of a near field communication (NFC) module, a radio-frequency identification (RFID) module, and an IC module. The recognition module may also be implemented as a component of the communication module (120).
[0083] For example, based on tagging of a first terminal device used by a first pedestrian to a recognition module, the processor (160) can transmit illuminance data, precipitation data, fog data, and signal information to the first terminal device through at least one of an NFC module, an RFID module, and an IC module.
[0084] That is, the processor (160) can transmit data received from various sensors (150) and signal devices to the first terminal device through at least one of an NFC module, an RFID module, and an IC module.
[0085] The first terminal device can provide a user interface (UI) containing illuminance data, precipitation data, fog data, and signal information received from the post (100). Accordingly, the first pedestrian can receive various types of information by tagging the first terminal device to the area where the recognition module of the post (100) is located.
[0086] For example, identification information (e.g., a sticker, etc.) indicating the location where the recognition module is embedded may be provided on one side of the outer surface of the post (100) (i.e., an area corresponding to the location where the recognition module is embedded).
[0087] As an example of the present disclosure, the processor (160) can obtain the movement speed of each of a plurality of pedestrians crossing a crosswalk based on data obtained through a human body detection sensor, an infrared sensor, and an image sensor.
[0088] In addition, the processor (160) can determine whether a second pedestrian, having the slowest movement speed among the plurality of pedestrians, can cross the crosswalk within a specific time period corresponding to the pedestrian walk signal (i.e., the time period indicated by the pedestrian walk signal on the signal device). That is, the processor (160) can determine whether the second pedestrian can cross the crosswalk within a specific time period based on the second pedestrian's movement speed and the distance remaining to cross the crosswalk.
[0089] Based on the determination that the second pedestrian will not be able to cross the crosswalk within a certain time period, the processor (160) may output a message containing information about the second pedestrian through the LED display device (130) and the voice output module. In addition, the processor (160) may control the LED module (140) to emit an LED beam in an area corresponding to the current location of the second pedestrian.
[0090] Specifically, the processor (160) may generate text indicating that a second pedestrian is crossing the crosswalk, and apply a text-to-speech (TTS) algorithm to the generated text to generate a message. The processor (160) may output the generated message through a voice output module. In addition, the processor (160) may display a message indicating that a pedestrian is crossing the crosswalk through the LED display device (130).
[0091] Additionally, the processor (160) can acquire images of multiple objects on a crosswalk through an image sensor. The processor (160) can input the images of the multiple objects into an artificial intelligence model to acquire information on the types of each of the multiple objects on the crosswalk and movement information of each of the types of the multiple objects (e.g., information indicating whether the movement is normal movement).
[0092] Here, the AI model may include at least one of a convolution neural network (CNN), a recurrent neural network (RNN), and a long short-term memory (LSTM). The AI model may be trained using training data containing images of various objects and images representing the movement of the objects. Images of various objects in the training data may be labeled with information regarding the type of the objects, and images representing the movement of the objects may be labeled with information determining whether the movement is normal.
[0093] The processor (160) can identify whether a specific object crossing a crosswalk is a vehicle or a person based on information about the specific object output through an artificial intelligence model. If the specific object is identified as neither a vehicle nor a person, the processor (160) can output a message indicating the presence of the specific object within the crosswalk through the LED display device (130) and the voice module. In addition, the processor (160) can control the LED module (140) to emit an LED beam in the area where the specific object exists.
[0094] Additionally, when a pedestrian stop signal is output by a signal device, if it is identified that a specific person is present within a crosswalk through data acquired from a human body detection sensor or / and an infrared sensor, the processor (160) may output a message indicating that a specific person is present within the crosswalk through the LED display device (130) and the voice module. In addition, the processor (160) may control the LED module (140) to emit an LED beam in an area where a specific person is present.
[0095] Additionally, the processor (160) can acquire road image data within a third area from a crosswalk via an image sensor. The processor (160) can determine whether a traffic accident has occurred based on the road image data within the third area.
[0096] For example, if it is determined that a first traffic accident has occurred within a third area, the processor (160) can identify and extract information about vehicles present in the area where the first traffic accident occurred (e.g., vehicle number, vehicle type, etc.), information about people (e.g., image data of people), and first traffic accident video data through road image data.
[0097] The processor (160) can create a database of information about the vehicle, information about the person, and the first traffic accident video data. For example, the processor (160) can obtain a hash value by applying a hash function to the time of the first traffic accident, the information about the vehicle, the information about the person, and the first traffic accident video data. The processor (160) can create a first block based on the hash value. The first block corresponds to the first traffic accident.
[0098] Here, a block means a bundle of valid information, and may include a block hash value that serves as an identifier for the block, a previous block hash value, a Merkle root, and transaction information.
[0099] If a second traffic accident occurs after a first traffic accident, the processor (160) can generate a second block corresponding to the second traffic accident.
[0100] Specifically, if it is determined that a second traffic accident has occurred within the third area, the processor (160) can identify and extract information about vehicles (e.g., vehicle number, vehicle type, etc.) present in the area where the second traffic accident occurred, information about people (e.g., image data of people), and second traffic accident video data through road video data.
[0101] The processor (160) can obtain a hash value by applying a hash function to the time of occurrence of the second traffic accident, information about the vehicle, information about the person, and video data of the second traffic accident. The processor (160) can generate a second block based on the hash value. The second block corresponds to the second traffic accident.
[0102] The processor (160) can build a database related to traffic accidents in blockchain format by linking the second block to the first block. Terminal devices used by the administrator can access the blockchain-based database and check traffic accident-related information in chronological order.
[0103] As an example of the present disclosure, the processor (160) can determine whether an object smaller than a preset size exists in the captured road image data, and determine whether the object smaller than the preset size is similar to at least one of a plurality of pre-stored fragment images.
[0104] When there are multiple objects smaller than a preset size, the processor (160) calculates an average distance between the multiple objects, determines that an object smaller than the preset size exceeds a preset similarity with at least one of the multiple pre-stored fragment images, and determines that a traffic accident has occurred when the average distance between the multiple objects falls within a preset range.
[0105] As an example of the present disclosure, (a), (b), and (c) of FIG. 3 illustrate the front, back, and side views of a square pillar-shaped post (100). As illustrated in (a) of FIG. 3, the post (100) can output various messages via an LED display device (130).
[0106] Computer-readable storage media include all types of storage media that store instructions that can be deciphered by a computer. Examples include read-only memory (ROM), random access memory (RAM), magnetic tape, magnetic disks, flash memory, and optical data storage devices.
[0107] The disclosed embodiments have been described with reference to the attached drawings as described above. Those skilled in the art will understand that the present disclosure can be implemented in forms other than the disclosed embodiments without altering the technical spirit or essential features of the present disclosure. The disclosed embodiments are illustrative and should not be construed as limiting.
[0108]
[0109] 110: Memory
[0110] 120: Communication module
[0111] 130: LED display device
[0112] 140: LED module
[0113] 150: Sensor
[0114] 160: Processor
Claims
1. Post in the shape of a column; An LED module provided at the bottom of the above post that emits an LED (light emitting diode) beam toward at least one of the directions of the floor parallel to the pedestrian stop line of the crosswalk and perpendicular to the pedestrian stop line; An LED display device provided on the rear or front of the above post; A plurality of types of sensors provided on one side of the outer surface of the above post to detect information related to the surrounding environment of the above post; A voice output module provided on the other side of the above post for outputting a message to be provided to at least one of a pedestrian or a driver; and At least one processor controlling the LED module, the LED display device, the plurality of types of sensors, and the voice output module; At least one processor of the above, Identifying whether a pedestrian exists within a first area based on the walking direction of the crosswalk based on data collected from at least one of a human body detection sensor and an infrared sensor among the above-mentioned plurality of types of sensors, Based on the identification that a first pedestrian exists within the first area, signal information is received from a signal device installed on the crosswalk, and a control message generated based on the received signal information is output through the LED display device and the voice output module. Based on the speed of a vehicle approaching the crosswalk detected by a speed detection sensor among the above-mentioned multiple types of sensors exceeding a first threshold value and the time required for the signal information to change from a pedestrian stop signal to a pedestrian walk signal being less than or equal to a second threshold value, a yellow LED beam indicating a deceleration message requesting deceleration is output through the LED module in a direction perpendicular to the pedestrian stop line, The above-mentioned multiple types of sensors include a light sensor, a rain detection sensor and a fog detection sensor, One or more of the above processors, Acquire illuminance data within the second area based on the above post through the above illuminance sensor, Obtaining precipitation data within the second area through the above rain detection sensor, Obtaining the amount of fog within the second area through the above fog detection sensor, Applying the first weighting to the above illuminance data, a first intermediate value is obtained, Applying a second weight to the above precipitation data, a second intermediate value is obtained, Applying a third weighting factor to the above fog amount, a third intermediate value is obtained, Obtain an LED brightness adjustment value corresponding to the final value obtained by adding the first intermediate value, the second intermediate value, and the third intermediate value, A smart traffic light guidance system for a crosswalk, which controls the intensity of an LED beam irradiated by the LED module and the LED brightness of the LED display device based on the LED brightness control value.
2. In paragraph 1, One or more of the above processors, Calculating the pedestrian density within the first area based on data collected from at least one of the human body detection sensor and the infrared sensor, Calculating the vehicle density within the first area based on data collected from at least one of the speed detection sensor and the infrared sensor, A smart traffic light guidance system for a crosswalk, wherein, based on the pedestrian density and the vehicle density, i) the LED brightness of the LED module and the LED display device, ii) the intensity and thickness of the LED beam emitted through the LED module, and iii) the volume of the voice message output through the voice output module are determined.
3. In paragraph 2, Further comprising a recognition module including at least one of an NFC (near field communication) module, an RFID (Radio-Frequency Identification) module and an IC module; A smart traffic light guidance system for a crosswalk, wherein the illuminance data, the precipitation data, the amount of fog, and the signal information are transmitted to the first terminal device through at least one of the NFC module, the RFID module, and the IC module based on tagging of the first terminal device used by the first pedestrian to the recognition module.
4. In paragraph 3, One or more of the above processors, Based on data acquired through the human body detection sensor, the infrared sensor, and the image sensor among the plurality of types of sensors, the moving speed of each of the plurality of pedestrians crossing the crosswalk is acquired, Determine whether the second pedestrian with the slowest moving speed among the plurality of pedestrians can cross the crosswalk within a specific time period corresponding to the pedestrian walk signal, A smart traffic light guidance system for a crosswalk, wherein a message including information about the second pedestrian is output through the LED display device and the voice output module based on a judgment that the second pedestrian will not be able to cross the crosswalk within the specific time period, and the LED module is controlled to emit an LED beam in an area corresponding to the current location of the second pedestrian.
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