阅读说明：本技术 智能交通协同设备及系统 (Intelligent traffic cooperative equipment and system ) 是由 梁兵 都大龙 于 2020-12-24 设计创作，主要内容包括：一种智能交通协同设备及系统,智能交通协同设备,包括：图像采集模块、识别模块、控制模块以及第一通信模块,其中：所述图像采集模块,用于采集可视范围内的图像,并将所述图像发送至所述识别模块；所述识别模块,用于对所述图像进行识别,根据识别结果判断所述可视范围内的交通状态是否出现异常；所述控制模块,用于当所述可视范围内的交通状态出现异常时,生成提醒,并确定与所述异常的交通状态关联的目标对象；所述第一通信模块,用于向所述目标对象推送所述提醒。上述方案,从而实现主动的向目标对象推送提醒,实现主动提醒,能够做到车路人协同,提高交通协同管理的智能化以及交通安全。(An intelligent traffic coordination device and system, the intelligent traffic coordination device, including: image acquisition module, identification module, control module and first communication module, wherein: the image acquisition module is used for acquiring images within a visual range and sending the images to the identification module; the identification module is used for identifying the image and judging whether the traffic state in the visible range is abnormal or not according to an identification result; the control module is used for generating a prompt when the traffic state in the visual range is abnormal, and determining a target object associated with the abnormal traffic state; the first communication module is used for pushing the reminder to the target object. By the scheme, active reminding to the target object is achieved, active reminding is achieved, cooperation of vehicles and pedestrians can be achieved, and intelligence and traffic safety of traffic cooperative management are improved.)

1. An intelligent traffic coordination device, comprising: image acquisition module, identification module, control module and first communication module, wherein:

the image acquisition module is used for acquiring images within a visual range and sending the images to the identification module;

the identification module is used for identifying the image and judging whether the traffic state in the visible range is abnormal or not according to an identification result;

the control module is used for generating a prompt when the traffic state in the visual range is abnormal, and determining a target object associated with the abnormal traffic state;

the first communication module is used for pushing the reminder to the target object.

2. The intelligent traffic coordination device according to claim 1, wherein said traffic state comprises at least one of: vehicle state, pedestrian state, road state, and road attachment state.

3. The intelligent transportation cooperative apparatus according to claim 2, wherein the identification module determines that the traffic state within the visible range is abnormal when any one of the following occurs:

according to the identification result, when the frequency of the vehicle crossing lane lines exceeds the set frequency, judging that the vehicle state of the vehicle is abnormal;

according to the identification result, when the vehicle is determined to run in the area for limiting the motor vehicle to pass, the vehicle state of the vehicle is judged to be abnormal;

determining that the pedestrian state of the pedestrian is abnormal when the current pedestrian exists in the pedestrian passing limiting area according to the identification result;

according to the recognition result, when a traffic accident, a pit or an obstacle appears on the road, judging that the road state is abnormal;

and determining that the state of the road accessory is abnormal when the state of the current road accessory is determined to be inconsistent with the preset state of the road accessory according to the identification result.

4. The intelligent traffic coordination device according to claim 2, wherein said control module is configured to perform at least one of:

the control module is used for determining the auxiliary information of the vehicle according to the identification result when the vehicle state of the vehicle is judged to be abnormal, determining the owner of the vehicle according to the auxiliary information of the vehicle, and taking the owner as the target object;

the control module is used for determining a current driver of the vehicle according to the identification result when the vehicle state of the vehicle is judged to be abnormal, acquiring the accessory information of the current driver, and taking the current driver as the target object;

the control module is used for taking all objects in the visual range as the target objects when the vehicle state of the vehicle is judged to be abnormal;

the control module is used for determining the identity of the pedestrian according to the identification result when the pedestrian state of the pedestrian is judged to be abnormal, acquiring the contact way of the pedestrian and taking the pedestrian as the target object;

and the control module is used for taking people or pedestrians related to the vehicle in the visible range as the target object when the road state is judged to be abnormal or the state of the road attachment is judged to be abnormal.

5. The intelligent transportation coordination device of claim 2,

the identification module is further used for determining whether a driver of the vehicle has a preset driving behavior according to the identification result after the vehicle state of the vehicle is judged to be abnormal;

the control module is further used for acquiring the attribute information of the vehicle and pushing the attribute information of the vehicle to traffic assistant personnel when the preset driving behavior appears on the driver; and/or when the preset driving behavior appears to the driver, acquiring the attribute information of the vehicle and controlling the running state of the vehicle.

6. The intelligent transportation coordination device according to claim 1, wherein said control module is further adapted to determine a location of a vehicle or a pedestrian within said visual range according to said recognition result, and said alert comprises said location of said vehicle or pedestrian.

7. The intelligent traffic coordination device according to claim 1, further comprising: distance detection means for detecting a relative distance of a vehicle or a pedestrian within the visible range from itself;

the control module is further used for determining the position of the vehicle according to the relative distance between the vehicle and the control module in the visual range, and determining the position of the pedestrian according to the relative distance between the pedestrian and the control module in the visual range.

8. The intelligent traffic coordination device according to claim 1, further comprising: the second communication module is used for receiving notification information issued by external equipment;

the first communication module is configured to push the notification information to the target object.

9. The intelligent transportation coordination device according to claim 8, wherein said external device comprises: other intelligent transportation cooperative equipment or a central server.

10. The intelligent transportation coordination device according to claim 1, wherein said intelligent transportation coordination device has an edge calculation means, said edge calculation means comprising said identification module and said control module.

11. The intelligent traffic coordination device according to claim 1, further comprising: the image acquisition module, the identification module, the control module and the first communication module are all arranged on the support.

12. An intelligent transportation coordination system, comprising: the intelligent transportation coordination device and the central server of any one of claims 1 to 11,

the central server is in communication connection with the intelligent traffic coordination equipment and is used for managing and controlling the intelligent traffic coordination equipment.

13. The intelligent transportation coordination system according to claim 12, wherein said central server is configured to issue notification information to said intelligent transportation coordination device.

14. The intelligent transportation coordination system according to claim 12, wherein the number of the intelligent transportation coordination devices is plural, and the intelligent transportation coordination devices are communicatively connected with each other.

Technical Field

The embodiment of the invention relates to the field of intelligent traffic, in particular to intelligent traffic cooperative equipment and system.

Background

Traffic signs play an important role in traffic and can give drivers a lot of guidance and help. The traffic sign usually displays speed limit indication, road condition congestion indication, road hidden danger indication and other indication information.

However, the existing traffic signs belong to passive notification, and a driver or a pedestrian can acquire corresponding indication information only when looking at the traffic signs, so that the indication information is easy to ignore.

Disclosure of Invention

The embodiment of the invention solves the technical problem that pedestrians and the like such as drivers and the like can easily ignore the indication information.

To solve the foregoing technical problem, an embodiment of the present invention provides an intelligent traffic coordination apparatus, including: image acquisition module, identification module, control module and first communication module, wherein: the image acquisition module is used for acquiring images within a visual range and sending the images to the identification module; the identification module is used for identifying the image and judging whether the traffic state in the visible range is abnormal or not according to an identification result; the control module is used for generating a prompt when the traffic state in the visual range is abnormal, and determining a target object associated with the abnormal traffic state; the first communication module is used for pushing the reminder to the target object.

Optionally, the traffic state includes at least one of: vehicle state, pedestrian state, road state, and road attachment state.

Optionally, the identification module determines that the traffic state in the visible range is abnormal when any one of the following conditions occurs: according to the identification result, when the frequency of the vehicle crossing lane lines exceeds the set frequency, judging that the vehicle state of the vehicle is abnormal; according to the identification result, when the vehicle is determined to run in the area for limiting the motor vehicle to pass, the vehicle state of the vehicle is judged to be abnormal; determining that the pedestrian state of the pedestrian is abnormal when the current pedestrian exists in the pedestrian passing limiting area according to the identification result; according to the recognition result, when a traffic accident, a pit or an obstacle appears on the road, judging that the road state is abnormal; and determining that the state of the road accessory is abnormal when the state of the current road accessory is determined to be inconsistent with the preset state of the road accessory according to the identification result.

Optionally, the control module is configured to perform at least one of the following processes: the control module is used for determining the auxiliary information of the vehicle according to the identification result when the vehicle state of the vehicle is judged to be abnormal, determining the owner of the vehicle according to the auxiliary information of the vehicle, and taking the owner as the target object; the control module is used for determining a current driver of the vehicle according to the identification result when the vehicle state of the vehicle is judged to be abnormal, acquiring the accessory information of the current driver, and taking the current driver as the target object; the control module is used for taking all objects in the visual range as the target objects when the vehicle state of the vehicle is judged to be abnormal; the control module is used for determining the identity of the pedestrian according to the identification result when the pedestrian state of the pedestrian is judged to be abnormal, acquiring the contact way of the pedestrian and taking the pedestrian as the target object; and the control module is used for taking people or pedestrians related to the vehicle in the visible range as the target object when the road state is judged to be abnormal or the state of the road attachment is judged to be abnormal.

Optionally, the identification module is further configured to determine whether a driver of the vehicle has a preset driving behavior according to the identification result after it is determined that the vehicle state of the vehicle is abnormal; the control module is further used for acquiring the attribute information of the vehicle and pushing the attribute information of the vehicle to traffic assistant personnel when the preset driving behavior appears on the driver; and/or when the preset driving behavior appears to the driver, acquiring the attribute information of the vehicle and controlling the running state of the vehicle.

Optionally, the control module is further adapted to determine a position of the vehicle or the pedestrian within the visual range according to the recognition result, and the reminder includes the position of the vehicle or the pedestrian.

Optionally, the intelligent transportation coordination device further includes: distance detection means for detecting a relative distance of a vehicle or a pedestrian within the visible range from itself; the control module is further used for determining the position of the vehicle according to the relative distance between the vehicle and the control module in the visual range, and determining the position of the pedestrian according to the relative distance between the pedestrian and the control module in the visual range.

Optionally, the intelligent transportation coordination device further includes: the second communication module is used for receiving notification information issued by external equipment; the first communication module is configured to push the notification information to the target object.

Optionally, the external device includes: other intelligent transportation cooperative equipment or a central server.

Optionally, the intelligent transportation coordination apparatus has an edge calculation device, and the edge calculation device includes the identification module and the control module.

Optionally, the intelligent transportation coordination device further includes: the image acquisition module, the identification module, the control module and the first communication module are all arranged on the support.

An embodiment of the present invention further provides an intelligent transportation collaboration system, including: any one of the above intelligent transportation cooperative devices and the central server, wherein the central server is in communication connection with the intelligent transportation cooperative device, and the central server is configured to manage and control the intelligent transportation cooperative device.

Optionally, the central server is configured to issue notification information to the intelligent transportation cooperative device.

Optionally, the number of the intelligent transportation cooperative devices is multiple, and the intelligent transportation cooperative devices are in communication connection.

Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:

the intelligent traffic coordination equipment provided by the embodiment of the invention comprises an image acquisition module, an identification module, a control module and a first communication module, wherein the image acquisition module can acquire images in a visible range and send the images to the identification module, and the identification module identifies the images and judges whether the traffic state in the visible range is abnormal or not according to an identification result. The control module can generate a prompt when the traffic state in the visual range is abnormal, and determine a target object associated with the abnormal traffic state, and the first communication module can push the prompt to the target object, so that the prompt is actively pushed to the target object, the active prompt is realized, the cooperation of the vehicle and the road man can be realized, and the intellectualization of traffic cooperative management and traffic safety are improved.

Drawings

Fig. 1 is a schematic structural diagram of an intelligent transportation coordination device in an embodiment of the present invention;

fig. 2 is a schematic structural diagram of an intelligent transportation coordination system in an embodiment of the present invention.

Detailed Description

As described above, the existing traffic sign in the prior art is a passive notification, and a driver or a pedestrian can acquire corresponding indication information only when looking at the traffic sign, so that the indication information is easy to ignore.

In order to solve the above problem, in an embodiment of the present invention, an intelligent traffic coordination device provided in an embodiment of the present invention includes an image acquisition module, an identification module, a control module, and a first communication module, where the image acquisition module may acquire an image within a visible range and send the image to the identification module, and the identification module identifies the image and determines whether a traffic state within the visible range is abnormal according to an identification result. The control module can generate a prompt when the traffic state in the visual range is abnormal, and determine a target object associated with the abnormal traffic state, and the first communication module can push the prompt to the target object, so that the prompt is actively pushed to the target object, the active prompt is realized, the cooperation of the vehicle and the road man can be realized, and the intellectualization of traffic cooperative management and traffic safety are improved.

In order to make the aforementioned objects, features and advantages of the embodiments of the present invention more comprehensible, specific embodiments accompanied with figures are described in detail below.

Referring to fig. 1, a schematic structural diagram of an intelligent transportation coordination device in an embodiment of the present invention is given, and a structure of the intelligent transportation coordination device is described below with reference to fig. 1.

In a specific implementation, the intelligent transportation coordination device 100 may include: an image acquisition module 10, an identification module 20, a control module 30 and a first communication module 40.

The image acquisition module 10 is configured to acquire an image within a visible range and send the image to the identification module 20. The image acquisition device can be a camera or other devices with image acquisition functions. The number of the image acquisition devices can be set according to actual requirements, for example, the number can be set to be one, two, three, four or other numbers, and specifically, the number can be set according to the number of intersections, the length of roads and other factors in a visual range.

For example, when the intelligent transportation cooperative apparatus 100 is installed at an intersection, four image capturing devices are installed, and each image capturing device can capture an image of the corresponding intersection. Correspondingly, if the length of a certain road is long, a corresponding number of image acquisition devices can be additionally arranged on the road so as to completely acquire images on the road.

For another example, when the intelligent transportation cooperative apparatus 100 is installed at a t-junction, three image capturing devices are installed.

The recognition module 20 is configured to recognize the image, and determine whether the traffic state within the visible range is abnormal according to a recognition result.

The control module 30 is configured to generate a prompt when the traffic state in the visual range is abnormal, and determine a target object associated with the abnormal traffic state.

The first communication module 40 is configured to push the reminder to the target object.

In some embodiments, the first communication module 40 may push the reminder to the target object based on the V2X protocol. Among them, V2X, namely Vehicle to event, is a communication system that is specially used for connecting with the surroundings of the Vehicle, as the name suggests, the Vehicle is connected with Everything.

As can be seen from the above, the traffic state monitoring device provided by the embodiment of the invention comprises an image acquisition module, an identification module, a control module and a first communication module, wherein the image acquisition module can acquire an image within a visible range and send the image to the identification module, and the identification module identifies the image and judges whether the traffic state within the visible range is abnormal or not according to an identification result. The control module can generate a prompt when the traffic state in the visual range is abnormal, and determine a target object associated with the abnormal traffic state, and the first communication module can push the prompt to the target object, so that the prompt is actively pushed to the target object, the active prompt is realized, the cooperation of the vehicle and the road man can be realized, and the intellectualization of traffic cooperative management and traffic safety are improved.

In particular implementations, the traffic state may include at least one of: vehicle state, pedestrian state, road state, and road attachment state.

In one implementation, the identification module 20 may determine that the traffic state within the visible range is abnormal when any of the following conditions occur.

For example, when it is determined that the frequency of the vehicle crossing lane lines exceeds a set frequency according to the recognition result, it is determined that the vehicle state of the vehicle is abnormal.

In some embodiments, based on the recognition results, the lane in which each vehicle is traveling may be determined. When the lane change frequency of a certain vehicle exceeds the set frequency within a period of time, the frequency of the lane crossing line of the vehicle can be judged to exceed the set frequency, and therefore the abnormal state of the vehicle is judged.

For another example, when the vehicle is determined to be running in the area for limiting the motor vehicle to pass through according to the identification result, the vehicle state of the vehicle is judged to be abnormal.

In some embodiments, according to the recognition result, when the vehicle is present in an area where the passage of the motor vehicle is restricted, such as a sidewalk or a non-motor lane, it may be determined that the vehicle state of the vehicle is abnormal.

For another example, when the pedestrian passing area is determined to be a current pedestrian according to the identification result, the pedestrian state of the pedestrian is determined to be abnormal.

In some embodiments, from the recognition result, the position, the area, and the like where the pedestrian appears may be determined. When it is determined that a pedestrian is present in a pedestrian passage restricting region such as a motor lane, it may be determined that the pedestrian state of the pedestrian is abnormal.

For another example, when a traffic accident, a pit, or an obstacle is determined to occur on the road based on the recognition result, it is determined that the road state is abnormal. The road state may include road surface conditions of the road, traffic accident conditions on the road, obstacles on the road, congestion conditions of the road, and the like.

In some embodiments, based on the recognition results, the condition on the road may be determined. The situation of the signal light at that time can be combined in determining the situation on the road. For example, when the signal lamp is green, the vehicle state in a certain area on the road is not changed for a certain period of time according to the recognition result, and the other areas are changed, so that the road state in the area can be judged to be abnormal. If the signal lamp is a green lamp, if it is obtained that the vehicles on the road are always in a static state or change slowly in a period of time according to the identification result, it can be determined that the road section is congested.

In other embodiments, based on the recognition result, when it is determined that an object of a predetermined shape, such as a pit or an obstacle, is present on the road surface of the road, it is determined that the road state is abnormal.

For another example, when the current state of the road accessory is determined to be inconsistent with the preset state of the road accessory according to the identification result, the state of the road accessory is determined to be abnormal. The road accessories can be guard rails on the road, road teeth and other road related equipment or articles and the like.

In particular implementations, the control module 30 performs different processing depending on the abnormal traffic conditions.

In an embodiment of the present invention, when it is determined that the vehicle state of the vehicle is abnormal, the control module 30 determines the auxiliary information of the vehicle according to the identification result, and determines the owner of the vehicle according to the auxiliary information of the vehicle, where the owner is the target object.

In specific implementation, the accessory information of the vehicle may include a license plate number of the vehicle, and when it is determined that the vehicle state of the vehicle is abnormal, the license plate number of the vehicle may be further determined according to the recognition result, and the owner of the vehicle may be determined according to the license plate number, so that the owner of the vehicle is used as the target object. Under the permission of the vehicle owner, the contact way of the vehicle owner can be acquired, and the reminder is sent to the vehicle owner through the first communication module 40 according to the acquired contact way of the vehicle owner.

In another embodiment of the present invention, when it is determined that the vehicle state of the vehicle is abnormal, the control module 30 determines the current driver of the vehicle according to the recognition result, acquires the accessory information of the current driver, and takes the current driver as the target object.

In some embodiments, when it is determined that the vehicle state of the vehicle is abnormal, the control module 30 may further perform face recognition on the image corresponding to the abnormal vehicle according to the recognition result to determine the current driver of the vehicle. Under the permission of the user, the auxiliary information such as the mobile phone number of the current driver can be acquired, and the current driver is taken as a target object.

In still another embodiment of the present invention, when it is determined that the vehicle state of the vehicle is abnormal, the control module 30 sets all objects within the visible range as the target object.

In another embodiment of the present invention, when it is determined that the pedestrian state of the pedestrian is abnormal, the control module 30 determines the identity of the pedestrian according to the identification result, obtains the contact information of the pedestrian, and takes the pedestrian as the target object. The pedestrian with abnormal pedestrian state, other pedestrians and vehicles of the row of accessories and the like can also be used as target objects to remind the pedestrian to adjust the state of the pedestrian in time, and danger to the pedestrian, other pedestrians or vehicles is avoided.

When the pedestrian state of the pedestrian is abnormal, under the condition of obtaining the permission of the pedestrian, the contact way of the pedestrian can be obtained according to the determined identity of the pedestrian. And sending the reminder to the pedestrian by the first communication module 40 according to the acquired contact way of the pedestrian. The pedestrian is the target object at this time.

In still another embodiment of the present invention, when it is determined that the state of the road is abnormal or that the state of the road attachment is abnormal, the control module 30 sets a person or a pedestrian related to the vehicle in the visible range as the target object. The system can remind pedestrians or people related to the vehicle of the abnormal road state, and timely take avoidance or emergency measures.

It is to be understood that the target objects in the above embodiments may be combined arbitrarily, where possible. For example, when the vehicle state is abnormal, the target object may be the owner of the vehicle and all vehicles or pedestrians in the visible range. As another example, when the vehicle state is abnormal, the target object may be the current driver, the owner of the vehicle, and all vehicles and pedestrians in the visible range. For another example, when the state of a pedestrian is abnormal, the target object may be the pedestrian and all vehicles and pedestrians in the visible range.

It is understood that the intelligent transportation cooperative apparatus 100 may also establish a communication connection with the in-vehicle terminal of the vehicle within the visual range, take the vehicle as a target object, and send the reminder to the in-vehicle terminal of the vehicle.

Further, in order to improve the intelligence of traffic management and the safety of vehicle driving, in the embodiment of the present invention, the identification module 20 may further determine whether the driver of the vehicle has a preset driving behavior according to the identification result after determining that the vehicle state of the vehicle is abnormal. The preset driving behavior can include sleeping, fatigue driving and the like in the driving process.

In some embodiments, when the driver has the preset driving behavior, the control module 30 may further obtain attribute information of the vehicle, and push the attribute information of the vehicle to a traffic assistant. Wherein the traffic assistant can be preset.

In some embodiments, when the driver has the preset driving behavior, the control module 30 may further obtain attribute information of the vehicle and control a driving state of the vehicle. Specifically, the control module 30 may obtain attribute information of the vehicle when the driver has a preset driving behavior, further obtain a control authority of the vehicle, and control the vehicle to brake, decelerate, or control the vehicle to travel to a specified area and stop according to the obtained image within the visible range.

In some embodiments, when the preset driving behavior occurs to the driver, a prompt may be sent to the driver of the vehicle, and the driver focuses on the vehicle with the preset driving behavior within a preset time period, and if the preset driving behavior does not occur to the vehicle, the control module 30 may not control the driving state of the vehicle. If the vehicle continues the preset driving behavior within the preset duration, the control module 30 controls the driving state of the vehicle.

In a specific implementation, the control module 30 may further determine, according to the recognition result, a position of a vehicle or a pedestrian within the visible range, which may carry the position of the vehicle or the pedestrian in the alert, so that the target object accurately knows the position of the vehicle or the pedestrian with the abnormal traffic state.

In some embodiments, the location of the intelligent transportation coordination device 100 is preset. The positions of the vehicles and pedestrians may be determined according to the position of the intelligent transportation cooperative apparatus 100 itself and the presence of the vehicles or pedestrians in the acquired plurality of images within the visible range.

In some embodiments, the intelligent transportation coordination device 100 may further include a distance detection apparatus. The distance detection means may detect the relative distance of the vehicle or pedestrian within the visible range from itself. The control module 30 may also determine the position of the vehicle based on the relative distance of the vehicle to itself within the visible range and determine the position of the pedestrian based on the relative distance of the pedestrian to itself within the visible range.

The distance detection means may include a means having a distance detection function such as a millimeter wave radar.

In a specific implementation, the intelligent transportation coordination device 100 may further include a second communication module. The second communication module is used for receiving notification information sent by the external equipment. The first communication module 40 may push the notification information to the target object.

In particular implementations, the external devices may include other intelligent transportation coordination devices 100 or a central server.

For example, the central server may issue notification information that a certain road segment is closed within a future period of time to the intelligent transportation coordination device 100 corresponding to the road segment, and the intelligent transportation coordination device 100 corresponding to the road segment pushes the notification information to pedestrians and vehicles within a visible range.

For another example, the central server may issue notification information that a road of a certain road segment is closed in a future period of time to the intelligent transportation cooperative device 100 corresponding to the road segment and the intelligent transportation cooperative devices 100 corresponding to some road segments adjacent to the road segment, and the intelligent transportation cooperative device 100 that receives the notification information respectively pushes re-notification information to pedestrians and vehicles within a visible range, so that the vehicles and the pedestrians can adjust the route in time.

For another example, the central server may issue notification information of road closure of a certain road segment to one or more intelligent transportation coordination devices 100 related to the road segment, and the intelligent transportation coordination devices 100 respectively push the notification information to pedestrians and vehicles within respective visual ranges, so that the vehicles and the pedestrians can adjust the travel in time.

For another example, when a certain intelligent transportation coordination device 100 detects a major traffic accident occurring within the visible range, the adjacent intelligent transportation coordination devices 100 may be notified in the form of notification information to notify the adjacent intelligent transportation coordination devices 100 that the traffic accident occurs, and the adjacent intelligent transportation coordination devices 100 respectively push the notification information to vehicles or pedestrians within the respective visible ranges.

It should be noted that the above-mentioned road closure and serious traffic accident are only examples for easy understanding, and in practical applications, the traffic state that can adopt the notification information is not limited to the above-mentioned examples, and may be other situations, which are not exemplified herein.

In a specific implementation, in order to improve the real-time performance of the intelligent transportation cooperative management, the intelligent transportation cooperative apparatus 100 has an edge computing device, which may include the identification module 20 and the control module 30. By using the low-delay and high-Artificial Intelligence (AI) computing power technology of the 5G technology, image recognition, calculation, control and the like can be locally completed on the intelligent transportation cooperation device 100, so that the real-time performance can be greatly met, local management can be realized, and the cooperation between vehicles and pedestrians can be realized.

In addition, the intelligent traffic coordination device 100 provided by the embodiment of the present invention can actively identify behaviors, attributes, and the like of a vehicle, a road, and a pedestrian, and when a traffic state abnormality such as an abnormal vehicle state, a pedestrian state, or a road state is found, a reminder is pushed to a target object through the first communication module 40, so that a hidden danger to be caused by the traffic state abnormality or an existing hidden danger can be avoided, and the intellectualization and traffic safety of traffic coordination management are improved.

In some embodiments, the intelligent transportation coordination device 100 may further include: and (4) a bracket. The image capturing module 10, the recognition module 20, the control module 30 and the first communication module 40 are disposed on the bracket.

In some embodiments, the intelligent transportation coordination device 100 may further include: a display screen. The display screen is used for displaying the reminding and the information related to the abnormal traffic state.

In a specific implementation, the control module 30 may further calculate the number of vehicles in the visible range, the traveling speed of the vehicle, and the like according to the recognition result. The display screen may display information such as the number of vehicles within the calculated visible range, the traveling speed of the vehicle, and the like.

In addition, the intelligent transportation cooperative device 100 may further include a speaker, and some reminding information or some notification information corresponding to some serious abnormal traffic conditions may be broadcast through the speaker. Therefore, a driver on the vehicle does not need to look up the vehicle-mounted terminal or the mobile phone, and a pedestrian can know the traffic state without looking up terminal equipment such as the mobile phone. The reminding information or the notification information corresponding to the important traffic state abnormity needing to be broadcasted through the loudspeaker can be configured in advance.

The above-described acquisition of the information related to the vehicle, the acquisition of the information related to the contact information of the pedestrian, the information related to the contact information of the driver, and the like are all performed under the permission of the related object.

The embodiment of the invention also provides an intelligent traffic coordination system. Referring to fig. 2, a schematic structural diagram of the intelligent transportation coordination system in the embodiment of the present invention is shown. The intelligent transportation coordination system may include an intelligent transportation coordination device 100 and a center server 200. The center server 200 is in communication connection with the intelligent transportation coordination device 100, and the center server 200 is configured to manage and control the intelligent transportation coordination device 100. The specific working structure and working principle of the intelligent transportation cooperative device 100 may refer to the description of the intelligent transportation cooperative device 100 provided in any of the above embodiments of the present invention, and are not described herein again.

In a specific implementation, the central server 200 is configured to issue notification information to the intelligent transportation cooperative apparatus 100.

In a specific implementation, the number of the intelligent transportation coordination devices 100 is multiple, and the intelligent transportation coordination devices 100 are in communication connection.

In some embodiments, the intelligent transportation cooperation system may be constructed based on a 5G edge technology, each intelligent transportation cooperation device 100 may be regarded as a 5G edge node, and low latency and AI computing power technologies of the 5G technology are utilized, so that image recognition, calculation, control and the like can be completed locally on the intelligent transportation cooperation device 100, real-time performance can be greatly satisfied, local management is realized, and vehicle-road-person cooperation is achieved.

In a specific implementation, the specific working principle and the working flow of the intelligent transportation cooperative system may refer to the description of the intelligent transportation cooperative device 100 provided in the above embodiment of the present invention, and are not described herein again.

Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.