CN210777133U - Traffic flow detection system based on human-vehicle-road cooperation - Google Patents
Traffic flow detection system based on human-vehicle-road cooperation Download PDFInfo
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- CN210777133U CN210777133U CN201922293301.9U CN201922293301U CN210777133U CN 210777133 U CN210777133 U CN 210777133U CN 201922293301 U CN201922293301 U CN 201922293301U CN 210777133 U CN210777133 U CN 210777133U
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
- G08G1/096741—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where the source of the transmitted information selects which information to transmit to each vehicle
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096791—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is another vehicle
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/57—Mechanical or electrical details of cameras or camera modules specially adapted for being embedded in other devices
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
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Abstract
The utility model discloses a traffic flow detecting system based on people's vehicle road is in coordination. The system comprises a bus boarding and alighting video detection device, a vehicle-mounted video detection device, a platform video detection device and a server; the bus boarding and alighting video detection device, the vehicle-mounted video detection device and the platform video detection device form a people flow detection system which can detect boarding and alighting people number information and road surface passenger flow information of a public transport means; the vehicle-mounted video detection device on the public transport means and the vehicle-mounted video detection devices on other vehicles form a traffic flow detection system which can detect traffic flow information; the vehicle-mounted video detection devices on the public transport means and the vehicle-mounted video detection devices on other vehicles form a road condition detection system which can detect road condition information, so that the people and vehicle information are collected simultaneously, the problem of information isolated islands formed among the detection systems in the prior art is avoided, and a collaborative information stream can be generated, so that a safe and efficient road traffic system can be constructed on the basis.
Description
Technical Field
The utility model relates to a people's car way technical field in coordination, concretely relates to traffic flow detecting system based on people's car way is in coordination.
Background
A Vehicle-road cooperative system (i-VICS) adopts advanced wireless communication, new generation internet and other technologies to implement Vehicle-Vehicle, Vehicle-road and human-Vehicle dynamic real-time information interaction in all directions, and develops Vehicle cooperative safety and road cooperative control on the basis of full-time dynamic traffic information acquisition and fusion, so that effective cooperation of human and Vehicle roads is fully realized, traffic safety is guaranteed, traffic efficiency is improved, and a safe, efficient and environment-friendly road traffic system is formed.
In the vehicle-road cooperation technology, accurate detection of traffic flow is an important prerequisite. At present, the industry generally depends on a set of independent detection systems to realize the perception of the relevant information of people, vehicles and roads. For example, at present, people are mainly detected by video, card swiping or mobile phone signaling. Wherein, video detection must rely on if the bus is from the lower door, subway floodgate machine mouth, have fixed passage such as exit of rail to realize, above-mentioned fixed passage is enough to restrict the region that the people got into the video detection scope from fixed width, but fixed passage makes video detection's application receive the restriction, and open passageway detects the cooperation that needs to combine a plurality of pictures of a plurality of cameras and detects, and can involve the tracking of human action, and open passageway detects and can not guarantee to pass through people directly under the camera and flow, side picture collection must appear, can appear sheltering from the phenomenon in a large number when crowded, lead to the precision to fall greatly. Card swiping detection for a bus can only be used for detecting when a passenger gets on the bus, and the situation of getting off the bus of the passenger cannot be detected. The mobile phone signaling mode judges the approximate direction through the interaction of mobile phone signals and a base station, and because the strength of the mobile phone signals is influenced by a plurality of influence factors, the positioning is difficult to be accurate to a meter, the mobile phone signaling mode can only detect the crowding degree of a group and cannot be accurate to the specific position of an individual. At present, the detection of the vehicle is mainly realized through a floating vehicle technology or a roadside RFID technology, floating vehicle data mainly come from buses, taxis and the like, data of private vehicles are difficult to obtain, the floating vehicle technology can only detect the crowd congestion and cannot discriminate individual vehicle behaviors, and the roadside RFID technology is high in construction cost and maintenance cost. At present, road monitoring mainly depends on road side infrastructure, such as radar, microwave, coils, geomagnetism, radio frequency identification and the like, and is usually fixed-point monitoring, and the whole-course coverage is difficult to achieve.
The detection systems are dispersed and cannot form a system with each other, so that information islands are formed among the detection systems, and a cooperative information flow cannot be generated. Therefore, it is necessary to provide a traffic flow detection system for integrating three flows, i.e., human, vehicle and road, to solve the above problems.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a traffic flow detecting system based on people's car road is in coordination to solve present each detecting system to people, car, road and disperse separately and exist, can not produce the problem of information flow in coordination.
The utility model provides a traffic flow detecting system based on people's vehicle road is in coordination, include: the system comprises a bus boarding and alighting video detection device, a vehicle-mounted video detection device, a platform video detection device and a server;
the bus boarding and alighting video detection device is arranged on a public transport means, the vehicle-mounted video detection device is arranged on the public transport means and other vehicles except the public transport means, and the platform video detection device is arranged on a platform corresponding to the public transport means;
the bus boarding and alighting video detection device, the vehicle-mounted video detection device and the platform video detection device jointly form a people flow detection system, wherein the bus boarding and alighting video detection device is used for detecting boarding and alighting number information of the public transport means, and the vehicle-mounted video detection device and the platform video detection device are used for detecting passenger flow information;
the vehicle-mounted video detection device on the public transport means and the vehicle-mounted video detection devices on the other vehicles jointly form a traffic flow detection system, and in the traffic flow detection system, the vehicle-mounted video detection device is used for detecting traffic flow information;
the vehicle-mounted video detection device on the public transport means and the vehicle-mounted video detection devices on the other vehicles jointly form a road condition detection system, and in the road condition detection system, the vehicle-mounted video detection device is used for detecting road condition information;
the bus boarding and alighting video detection device, the vehicle-mounted video detection device and the platform video detection device are respectively in communication connection with the server.
Optionally, a vehicle-mounted main control computer is arranged on the public transport means, the vehicle-mounted main control computer is in communication connection with the server, and the server is in communication connection with a traffic integrated information platform;
the bus boarding and alighting video detection device comprises a passenger flow detection camera and a video passenger flow statistical analyzer, wherein the passenger flow detection camera is connected with the video passenger flow statistical analyzer, and the video passenger flow statistical analyzer is in communication connection with the vehicle-mounted main control computer;
the passenger flow detection camera is used for detecting a video image on the public transport means;
the video passenger flow statistical analyzer is used for receiving the video images, generating an access record by analyzing the number and the access direction of the personnel in the video images, and transmitting the access record to the vehicle-mounted main control computer;
the vehicle-mounted main control computer is used for sending the access record to the server;
and the server is used for sending the access record to the traffic comprehensive information platform.
Optionally, the public transportation means has a front door and a rear door, and the front door and the rear door are respectively provided with a passenger flow detection camera;
the video passenger flow statistical analyzer is provided with a door opening and closing device interface, the front door and the rear door are respectively provided with a door opening and closing device, and the door opening and closing devices are connected with the video passenger flow statistical analyzer through the door opening and closing device interface.
Optionally, in the traffic flow detection system, the vehicle-mounted video detection device includes a camera and a processor, the camera is connected with the processor, and the processor is in communication connection with the vehicle-mounted main control computer;
the camera is used for acquiring a vehicle video image on a road;
and the processor is used for receiving the vehicle video image and analyzing to obtain the vehicle information on the road according to the vehicle video image.
Optionally, the processor includes:
the image processing module is used for extracting a vehicle shape different from the background from a picture of the vehicle video image so as to identify a front vehicle;
the length-width ratio calculation module is used for calculating the length-width ratio of the front vehicle according to the speed data acquired by the vehicle and the position of the front vehicle in the picture;
and the vehicle type identification module is used for identifying the vehicle type of the front vehicle according to the length-width ratio.
Optionally, in the road condition detecting system,
the camera is also used for acquiring a road condition video image on a road;
the processor is further configured to receive the road condition video image, and analyze the road condition video image to obtain road condition information on a road.
Optionally, the processor further includes:
the construction bypassing mark identification module is used for identifying a construction bypassing mark in the road condition video image;
the obstacle identification module is used for identifying obstacles in the road condition video image;
and the road surface damage identification module is used for identifying the road surface crack in the road condition video image.
Optionally, in the road condition detection system, the camera is disposed at a head, a tail, or a position facing downward and facing a road surface in front of the vehicle, and the road condition detection system further includes an infrared flaw detection sensor connected to the processor.
The utility model discloses following beneficial effect has: the utility model discloses a traffic flow detecting system based on people's bus route is cooperative, through setting up bus video detection device, on-vehicle video detection device, platform video detection device and server, utilizes bus video detection device, on-vehicle video detection device and platform video detection device of getting on or off the bus to constitute people's flow detecting system jointly, detects through bus video detection device of getting on or off the bus the person number information of getting on or off the public transport means, detects passenger flow information through on-vehicle video detection device and platform video detection device; the method comprises the steps that a vehicle-mounted video detection device on a public transport means and vehicle-mounted video detection devices on other vehicles are utilized to jointly form a traffic flow detection system, and traffic flow information is detected through the vehicle-mounted video detection devices; the vehicle-mounted video detection device on the public transport means and the vehicle-mounted video detection devices on other vehicles are utilized to jointly form a road condition detection system, and the vehicle-mounted video detection device is used for detecting road condition information, so that people and vehicle information are respectively collected through a people flow detection system, a vehicle flow detection system and the road condition detection system, the problem of information isolated islands formed among detection systems in the prior art is avoided, and a collaborative information flow can be generated, so that a safe and efficient road traffic system can be constructed on the basis.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 the utility model provides a pair of traffic flow detecting system's based on people's car road is in coordination structure sketch.
FIG. 2 the utility model provides a pair of people flows detecting system's schematic diagram among traffic flow detecting system based on people's vehicle and road is in coordination.
Fig. 3 the utility model provides a pair of bus video detection device's of getting on or off bus schematic diagram in traffic flow detecting system based on people's car road is in coordination.
Fig. 4 the utility model provides a pair of a video detection device's a concrete implementation mode's schematic diagram about getting on or off bus among traffic flow detecting system based on people's vehicle and road are in coordination.
Fig. 5 the utility model provides a pair of traffic flow detecting system's schematic diagram among traffic flow detecting system based on people's vehicle and road is in coordination.
Fig. 6 the utility model provides a pair of on-vehicle video detection device's among traffic flow detecting system based on people's vehicle and road is in coordination structure sketch.
Fig. 7 the utility model provides a pair of on-vehicle video detection device treater among traffic flow detecting system based on people's vehicle and road is in coordination structural sketch.
Fig. 8 the utility model provides a pair of traffic flow detecting system's among traffic flow detecting system based on people's car road is in coordination schematic diagram.
Illustration of the drawings: 1-bus boarding and alighting video detection device; 2-vehicle video detection device; 3-station video detection device; 4-a server; 100-public transport means; 200-other vehicles; 300-a station; 101-vehicle main control machine; 5-traffic integrated information platform; 11-a passenger flow detection camera; 12-video passenger flow statistical analyzer; 102-a door opening and closing device; 21-a camera; 22-a processor; 221-an image processing module; 222-aspect ratio calculation module; 223-a vehicle type identification module; 224-construction detour sign identification module; 225-obstacle identification module; 226-road surface damage identification module.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
Referring to fig. 1, the present invention provides a traffic flow detection system based on human-vehicle cooperation, which includes: the system comprises a bus boarding and alighting video detection device 1, a vehicle-mounted video detection device 2, a platform video detection device 3 and a server 4.
The public transport boarding and alighting video detection device 1 is arranged on a public transport means 100, and the public transport means 100 can be a bus, a subway, an urban light rail and the like. The in-vehicle video detection apparatus 2 is provided on the public transportation vehicle 100 and another vehicle 200 other than the public transportation vehicle 100, and the other vehicle 200 may be various private cars or the like. The station video detection device 3 is disposed on a station 300 corresponding to the public transportation vehicle 100. The bus boarding and alighting video detection device 1, the vehicle-mounted video detection device 2 and the platform video detection device 3 are respectively in communication connection with the server 4, and can send information collected by the detection devices to the server 4. The server 4 may be a data center server of a public transportation company, and the like.
Referring to fig. 2, in a first aspect, a bus boarding and alighting video detection device 1, a vehicle-mounted video detection device 2, and a platform video detection device 3 together form a people flow detection system, the bus boarding and alighting video detection device 1 of the people flow detection system is used for detecting boarding and alighting number information of a public transport 100, and the vehicle-mounted video detection device 2 and the platform video detection device 3 are used for detecting passenger flow information. The vehicle-mounted video detection device 2 can detect passenger flow information of a road where a vehicle is located, such as an intersection, a zebra crossing, a congested road section and the like, and the platform video detection device 3 can detect passenger flow information near a platform.
As shown in fig. 3, as an alternative embodiment, a vehicle-mounted main controller 101 is provided on the public transportation vehicle 100, the vehicle-mounted main controller 101 is in communication connection with the server 4, and the server 4 is in communication connection with the traffic integrated information platform 5. The bus boarding and alighting video detection device 1 may specifically include a passenger flow detection camera 11 and a video passenger flow statistical analyzer 12. The passenger flow detection camera 11 is connected to a video passenger flow statistical analyzer 12. The video passenger flow statistical analyzer 12 is in communication connection with the vehicle-mounted main control computer 101. The method comprises the steps of detecting a video image on the public transport means 100 by using a passenger flow detection camera 11, receiving the video image by using a video passenger flow statistical analyzer 12, analyzing the number and the in-out direction of personnel in the video image to generate an in-out record, and transmitting the in-out record to a vehicle-mounted main control computer 101. The entry and exit records are sent to the server 4 through the vehicle-mounted main control computer 101. The server 4 may further send the entry and exit records to the traffic integrated information platform 5. The system background can check the data of the passenger flow on and off each station in real time, and the data of the passenger flow is transmitted to the traffic integrated information platform 5 in real time through the server 4 of the public transportation group.
In one embodiment, as shown in fig. 4, the mass transit vehicle 100 may be a bus having front and rear doors each provided with a passenger flow detection camera 11 for detecting video images of passengers getting on and off the bus. The video passenger flow statistical analyzer 12 is provided with a door opening and closing device interface, the front door and the rear door are respectively provided with a door opening and closing device 102, and the door opening and closing device 102 is connected with the video passenger flow statistical analyzer 12 through the door opening and closing device interface.
In specific implementation, the passenger flow detection camera 11 should be installed as perpendicular to the ground as possible, the passenger flow detection camera 11 may be installed on a bracket with an adjustable angle, and the minimum angle of each adjustment is 2.5 degrees, so that the passenger flow detection camera 11 can be installed and fixed on various positions and non-perpendicular surfaces. The installation height of the passenger flow detection camera 11 in the bus can be 190cm-260cm, and the detection area below the passenger flow detection camera 11 can be 50cm-240 cm. The video passenger flow statistical analyzer 12 can be connected with the vehicle-mounted main control computer 101 of the bus through an RS485, RJ45 or RS232 interface, and transmits the collected up-down passenger flow data to the passenger flow detection system of the bus group server 4 through a preset communication protocol.
The utility model discloses a strong adaptability of bus video detection device 1 to the environment does not receive the passenger two-way, side by side and the influence of distance far and near, does not receive different clothing colour, different hair colour, the influence of factors such as wearing cap and luggage, guarantees 95% counting accuracy under crowded condition, and passenger flow after the ability accurate adjustment installation detects camera 11's camera lens angle, and auto focus allows to have certain angle slope with the horizontal direction. When the bus boarding and alighting video detection device 1 realizes passenger flow counting, the counting is started when the bus door is opened by taking the bus door opening and closing state as a trigger condition, the data is counted in real time, and the data is uploaded after the bus door is closed. The bus boarding and alighting video detection device 1 also has strong expansibility and portability, and can install passenger flow detection cameras 11 in corresponding quantity according to the number of the bus doors. The brightness of the passenger flow detection camera 11 can be automatically adjusted without being affected by external light.
The vehicle-mounted video detection device 2 and the platform video detection device 3 can both adopt a mode of acquiring video images by a camera to realize detection, and the acquired images are transmitted to respective processors to be analyzed. The camera of the vehicle-mounted video detection device 2 can be specifically installed in front of a front windshield of a vehicle, and can mainly detect people flow which suddenly crosses roads and zebra crossings, and of course, the camera can also be installed at a rearview mirror. The positions of the side surface and the like of the vehicle body can detect the pedestrian flow beside the vehicle body when the vehicle turns, so as to prevent the vehicle from being scraped due to turning. The camera of the platform video detection device 3 can be arranged at a position on the platform where people stream video images can be conveniently collected.
Referring to fig. 5, in a second aspect, the on-board video detection device 2 on the public transportation vehicle 100 and the on-board video detection devices 2 on other vehicles 200 may also jointly form a traffic flow detection system, in which the on-board video detection device 2 is used to detect traffic flow information, and the traffic flow detection system and the on-board video detection device 2 of the people flow detection system may be shared.
As shown in fig. 6, in the traffic flow detection system, the vehicle-mounted video detection device 2 may specifically include a camera 21 and a processor 22, where the camera 21 is connected to the processor 22, and the processor 22 is connected to the vehicle-mounted main controller 101 in a communication manner. The camera 21 may capture video images of vehicles on the road. The processor 22 may receive the vehicle video images and analyze the vehicle video images to obtain vehicle information on the roadway.
Specifically, as shown in fig. 7, the processor 22 may include: and the image processing module 221 is configured to extract a vehicle shape different from the background from the picture of the vehicle video image by using a processing method such as gray processing and edge sharpening to identify a vehicle ahead. And an aspect ratio calculation module 222, configured to calculate an aspect ratio of the front vehicle according to the speed data acquired by the vehicle itself and the position of the front vehicle in the screen. And a vehicle type identification module 223 for identifying the vehicle type of the front vehicle according to the aspect ratio. The image processing module 221, the aspect ratio calculation module 222, and the vehicle type recognition module 223 may be implemented according to the related art.
Referring to fig. 8, in a third aspect, the vehicle-mounted video detection device 2 on the public transportation vehicle 100 and the vehicle-mounted video detection devices 2 on the other vehicles 200 may also jointly form a road condition detection system, and in the road condition detection system, the vehicle-mounted video detection device 2 is used for detecting road condition information, such as road congestion, large object splashing and water leakage, road maintenance and construction, obvious cracks on a road surface, loss of an inspection well cover, and the like. In the road condition detection system, the camera 21 is also used for acquiring a road condition video image on a road; the processor 22 is further configured to receive the video images of the road condition, and analyze the video images of the road condition to obtain the information of the road condition on the road.
Specifically, referring to fig. 7, the processor 22 may further include: and the construction bypassing mark identification module 224 is configured to identify a construction bypassing mark in the road condition video image. And an obstacle identification module 225 for identifying obstacles in the road condition video image. And a road surface damage recognition module 226 for recognizing the road surface crack in the road condition video image. In addition, in road condition detection system, camera 21 sets up in the locomotive of vehicle, the rear of a vehicle or the position that the vehicle front faced the road surface down, and road condition detection system can also include the infrared flaw detection sensor who is connected with treater 22 to realize accurate detection road surface crack. The construction detour sign recognition module 224, the obstacle recognition module 225 and the road surface damage recognition module 226 may be implemented according to the related art.
To sum up, the utility model discloses a people flows detecting system, traffic flow detecting system and road conditions detecting system's on-vehicle video detection device 2 can share each other, the utility model discloses can gather people's road information respectively through people flow detecting system, traffic flow detecting system and road conditions detecting system simultaneously, avoid among the prior art each detecting system to form the problem of information island, can produce the information flow in coordination to construct safety, efficient road traffic system on the basis.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (8)
1. The utility model provides a traffic flow detecting system based on people's car road is in coordination which characterized in that includes: the system comprises a bus boarding and alighting video detection device (1), a vehicle-mounted video detection device (2), a platform video detection device (3) and a server (4);
the bus boarding and alighting video detection device (1) is arranged on a public transport means (100), the vehicle-mounted video detection device (2) is arranged on the public transport means (100) and other vehicles (200) except the public transport means (100), and the platform video detection device (3) is arranged on a platform (300) corresponding to the public transport means (100);
the bus boarding and alighting video detection device (1), the vehicle-mounted video detection device (2) and the platform video detection device (3) jointly form a people flow detection system, wherein the bus boarding and alighting video detection device (1) is used for detecting boarding and alighting number information of the public transport means (100), and the vehicle-mounted video detection device (2) and the platform video detection device (3) are used for detecting passenger flow information;
the vehicle-mounted video detection device (2) on the public transport means (100) and the vehicle-mounted video detection devices (2) on the other vehicles (200) jointly form a traffic flow detection system, and in the traffic flow detection system, the vehicle-mounted video detection device (2) is used for detecting traffic flow information;
the vehicle-mounted video detection device (2) on the public transport means (100) and the vehicle-mounted video detection devices (2) on the other vehicles (200) jointly form a road condition detection system, and in the road condition detection system, the vehicle-mounted video detection device (2) is used for detecting road condition information;
the bus boarding and alighting video detection device (1), the vehicle-mounted video detection device (2) and the platform video detection device (3) are respectively in communication connection with the server (4).
2. The traffic flow detection system based on human-vehicle-road cooperation according to claim 1, characterized in that a vehicle-mounted main control computer (101) is arranged on the public transport means (100), the vehicle-mounted main control computer (101) is in communication connection with the server (4), and the server (4) is in communication connection with a traffic comprehensive information platform (5);
the bus on-off video detection device (1) comprises a passenger flow detection camera (11) and a video passenger flow statistical analyzer (12), wherein the passenger flow detection camera (11) is connected with the video passenger flow statistical analyzer (12), and the video passenger flow statistical analyzer (12) is in communication connection with the vehicle-mounted main control computer (101);
the passenger flow detection camera (11) for detecting video images on the public transport vehicle (100);
the video passenger flow statistical analyzer (12) is used for receiving the video images, generating an access record by analyzing the number and the access direction of people in the video images, and transmitting the access record to the vehicle-mounted main control computer (101);
the vehicle-mounted main control computer (101) is used for sending the access records to the server (4);
the server (4) is used for sending the access records to the traffic comprehensive information platform (5).
3. The human-vehicle-road-cooperation-based traffic flow detection system according to claim 2, wherein the public transportation means (100) has a front door and a rear door, each of which is provided with one passenger flow detection camera (11);
the video passenger flow statistical analyzer (12) is provided with a door opening and closing device interface, the front door and the rear door are respectively provided with a door opening and closing device (102), and the door opening and closing device (102) is connected with the video passenger flow statistical analyzer (12) through the door opening and closing device interface.
4. The human-vehicle-road cooperation based traffic flow detection system according to claim 3, wherein in the traffic flow detection system, the vehicle-mounted video detection device (2) comprises a camera (21) and a processor (22), the camera (21) is connected with the processor (22), and the processor (22) is connected with the vehicle-mounted master controller (101) in a communication way;
the camera (21) is used for acquiring a vehicle video image on a road;
and the processor (22) is used for receiving the vehicle video image and analyzing the vehicle video image to obtain the vehicle information on the road.
5. The human-vehicle-road-cooperation-based traffic flow detection system according to claim 4, wherein the processor (22) comprises:
an image processing module (221) for extracting a vehicle shape different from a background from a picture of the vehicle video image to identify a vehicle ahead;
an aspect ratio calculation module (222) for calculating an aspect ratio of the vehicle ahead according to the speed data acquired by the vehicle itself and the position of the vehicle ahead in the screen;
and a vehicle type identification module (223) for identifying the vehicle type of the front vehicle according to the aspect ratio.
6. The traffic flow detecting system based on human-vehicle-road coordination according to claim 5, wherein in the road condition detecting system,
the camera (21) is also used for acquiring a road condition video image on a road;
the processor (22) is further configured to receive the traffic video image, and analyze the traffic video image to obtain traffic information on a road.
7. The human-vehicle-road-coordination-based traffic flow detection system according to claim 6, wherein the processor (22) further comprises:
a construction bypassing sign identification module (224) for identifying a construction bypassing sign in the road condition video image;
an obstacle identification module (225) for identifying an obstacle in the road condition video image;
and the road surface damage identification module (226) is used for identifying the road surface crack in the road condition video image.
8. The traffic flow detection system based on human-vehicle cooperation according to claim 7, wherein in the traffic flow detection system, the camera (21) is arranged at the head, tail or front of the vehicle at a position facing downwards to the road surface, and the traffic flow detection system further comprises an infrared flaw detection sensor connected with the processor (22).
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922293301.9U CN210777133U (en) | 2019-12-19 | 2019-12-19 | Traffic flow detection system based on human-vehicle-road cooperation |
| DE202020100296.1U DE202020100296U1 (en) | 2019-12-19 | 2020-01-21 | A people-vehicles-road-cooperation-based traffic flow detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922293301.9U CN210777133U (en) | 2019-12-19 | 2019-12-19 | Traffic flow detection system based on human-vehicle-road cooperation |
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| Publication Number | Publication Date |
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| CN210777133U true CN210777133U (en) | 2020-06-16 |
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| CN201922293301.9U Active CN210777133U (en) | 2019-12-19 | 2019-12-19 | Traffic flow detection system based on human-vehicle-road cooperation |
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| DE (1) | DE202020100296U1 (en) |
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| CN113645440A (en) * | 2021-06-23 | 2021-11-12 | 东风汽车集团股份有限公司 | Automobile network alarm method and system |
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2019
- 2019-12-19 CN CN201922293301.9U patent/CN210777133U/en active Active
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| DE202020100296U1 (en) | 2020-05-07 |
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