CN113936457A - Ultra-large bus bending early warning system and method based on vehicle-road cooperation - Google Patents
Ultra-large bus bending early warning system and method based on vehicle-road cooperation Download PDFInfo
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- CN113936457A CN113936457A CN202111160293.6A CN202111160293A CN113936457A CN 113936457 A CN113936457 A CN 113936457A CN 202111160293 A CN202111160293 A CN 202111160293A CN 113936457 A CN113936457 A CN 113936457A
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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
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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- G—PHYSICS
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
- G07C5/0825—Indicating performance data, e.g. occurrence of a malfunction using optical means
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
- G07C5/0833—Indicating performance data, e.g. occurrence of a malfunction using audio means
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- G—PHYSICS
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- 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
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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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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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
- G08G1/09623—Systems involving the acquisition of information from passive traffic signs by means mounted on the vehicle
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
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Abstract
The invention relates to the technical field of vehicle bending monitoring, in particular to a road coordination-based ultra-large bus bending early warning system and method. According to the invention, the vehicle characteristic data of the target vehicle information and the curve characteristic data of the target curve are extracted by acquiring the vehicle information and the curve information, whether the vehicle can bend or not is judged according to the comparison result after the vehicle characteristic data and the curve characteristic data are compared, and when the vehicle cannot bend, an alarm and a prompt are sent to a vehicle driver, so that the driver can adjust the driving position of the vehicle, and the vehicle can be ensured to bend smoothly.
Description
Technical Field
The invention relates to the technical field of vehicle bending monitoring, in particular to a system and a method for ultra-large bus bending early warning based on vehicle-road cooperation.
Background
The vehicle-road cooperation technology is an important supporting technology in the aspect of road traffic safety and is also a basic research problem for realizing intelligent traffic. Currently, the major developed countries and regions are dedicated to the development of intelligent transportation systems, wherein the key technology of intelligent vehicle-road coordination is the hot spot and leading-edge technology of ITs research. Currently, research and experiments on a vehicle-road cooperative system are actively carried out in various countries around the world, and the research and experiments are taken as important means for improving the safety and efficiency of road traffic.
Traffic accidents easily occur in the curve, so that the vehicle speed limit is often set in the curve, and the safety can be ensured only when the vehicle runs within the vehicle speed limit range. However, most of the current vehicle speed limit reminders are only reminders of traffic warning signs, drivers often ignore the vehicle speed limit for various reasons, and sometimes often keep attention to whether the vehicle speed limit exists on a certain road section during driving, so that the attention of the drivers is dispersed, and the driving safety is influenced, and therefore the curve speed early warning technology is an important subject for road driving safety research.
Therefore, in view of the above current situation, there is an urgent need to develop a system and a method for early warning of curve crossing of an ultra-large bus based on vehicle-road cooperation, so as to overcome the shortcomings in the current practical application.
Disclosure of Invention
The invention aims to provide a system and a method for early warning of the curve passing of an ultra-large bus based on vehicle-road cooperation, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides an ultra-large bus early warning system that turns round based on bus or train route is in coordination, includes data analysis module, vehicle monitoring module and bend monitoring module, data analysis module is connected with vehicle monitoring module and bend monitoring module respectively, wherein:
the vehicle monitoring module is used for acquiring target vehicle information, extracting vehicle characteristic data of the target vehicle information and sending the vehicle characteristic data to the data analysis module;
the curve monitoring module is used for acquiring target curve information, extracting curve characteristic data of the target curve information and sending the curve characteristic data to the data analysis module; and
the data analysis module is used for receiving the vehicle characteristic data sent by the vehicle monitoring module; and
receiving curve characteristic data sent by a curve monitoring module; and
and analyzing the vehicle characteristic data and the curve characteristic data to obtain an analysis result, and generating a prompt instruction according to the analysis result.
As a further scheme of the invention: the vehicle characteristic data is data representing whether the vehicle can bend or not; the curve characteristic data is data representing that the vehicle can smoothly go in and out of the curve.
As a further scheme of the invention: still including early warning module and display module, early warning module and display module all are connected with data analysis module, wherein:
the data analysis module is also used for sending a prompt instruction to the early warning module and the display module;
the early warning module is used for receiving the prompt instruction sent by the data analysis module and giving an alarm according to the prompt instruction;
and the display module is used for acquiring the analysis result of the data analysis module and displaying the analysis result so as to inform a driver of changing the driving state in time and ensure that the vehicle safely enters or exits the curve.
As a further scheme of the invention: the vehicle monitoring module comprises a speed measuring unit, a distance measuring unit, a first shooting unit and a first data processing unit, wherein the speed measuring unit, the distance measuring unit and the first shooting unit are all connected with the first data processing unit, and the first data processing unit is further connected with a vehicle information database and a first data sending unit.
As a further scheme of the invention:
the speed measuring unit is at least one speed sensor arranged on the vehicle and used for monitoring the speed of the vehicle during running;
the distance measuring unit is at least one distance sensor mounted on the vehicle and used for monitoring the distance between the vehicle body and the road, wherein the distance between the vehicle body and the road refers to the distance between the vehicle body and a road guardrail;
the first shooting unit is at least one camera assembly arranged on the vehicle and used for shooting the vehicle running pictures, and when the first shooting unit is arranged at different positions, the vehicle running pictures are different;
the vehicle information database is a data storage device for storing at least one piece of vehicle information, and the data storage device can be a local storage device or a cloud storage device.
As a further scheme of the invention: the curve monitoring module comprises a second shooting unit, a curve information database and a second data processing unit, wherein the second shooting unit and the curve information database are connected with the second data processing unit, and the second data processing unit is also connected with a second data sending unit.
As a further scheme of the invention: the second shooting unit is at least one shooting assembly which is arranged on the road and used for shooting road pictures, and when a plurality of shooting assemblies are arranged, the shooting assemblies are arranged along the road;
the curve information database is a data memory for storing at least one curve information, and the data memory can be a local memory or a cloud memory
As a further scheme of the invention: still including human-computer interaction module, human-computer interaction module is connected with data analysis module, wherein:
the human-computer interaction module is used for receiving a query instruction input by a user and sending the query instruction to the prediction unit; and
and receiving an analysis result sent by the data analysis module, and displaying the analysis result.
As a further scheme of the invention: the data analysis module comprises a data receiving unit, a comparison unit, a prediction unit and an instruction sending unit, wherein the data receiving unit is connected with the comparison unit, the comparison unit is connected with the prediction unit, and the prediction unit is connected with the instruction sending unit.
A method of an ultra-large bus bending early warning system based on vehicle-road cooperation comprises the following steps:
s100, collecting vehicle information, curve information and pedestrian information, and extracting vehicle characteristic data of target vehicle information and curve characteristic data of a target curve according to the vehicle information and the curve information;
s200, analyzing the vehicle characteristic data, the curve characteristic data and the pedestrian information to obtain an analysis result, judging whether a pedestrian exists in the curve according to the analysis result, continuing to step S300 when the pedestrian exists, and continuing to step S400 when the pedestrian does not exist;
s300, controlling the remote alarm and the audible and visual alarm to alarm simultaneously, and warning a driver and pedestrians simultaneously;
s400, judging whether the vehicle can bend or not according to the analysis result, and if the vehicle can bend, performing S100, and if the vehicle cannot bend, performing S500;
and S500, controlling a remote alarm to give an alarm and giving an alarm to a driver.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, vehicle characteristic data of target vehicle information and curve characteristic data of a target curve are extracted by acquiring the vehicle information and the curve information, whether the vehicle can bend or not is judged according to a comparison result after the vehicle characteristic data and the curve characteristic data are compared, and when the vehicle cannot bend, an alarm and a prompt are sent to a vehicle driver, so that the driver can adjust the driving position of the vehicle, and the vehicle can be ensured to bend smoothly;
2. the invention also acquires the information of the target pedestrians in the curve to determine the number and the positions of the target pedestrians, and alarms are arranged in the curve and the vehicle to simultaneously alarm the driver and the target pedestrians when the vehicle enters the curve, thereby avoiding traffic accidents.
Drawings
Fig. 1 is a structural block diagram of a super-large bus bending early warning system based on vehicle-road cooperation.
Fig. 2 is a structural block diagram of a vehicle monitoring module in an ultra-large bus bending early warning system based on vehicle-road cooperation.
Fig. 3 is a structural block diagram of a curve monitoring module in an ultra-large bus curve-crossing early warning system based on vehicle-road cooperation.
Fig. 4 is a block diagram of a data analysis module in the ultra-large bus bending early warning system based on vehicle-road cooperation.
Fig. 5 is a structural block diagram of an early warning module in an ultra-large bus bending early warning system based on vehicle-road cooperation.
FIG. 6 is a flow chart of a method for warning the curve crossing of an ultra-large bus based on vehicle-road coordination.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Reference will now be made in detail to embodiments of the present patent, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present patent and are not to be construed as limiting the present patent.
In the description of this patent, it is to be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in the orientations and positional relationships indicated in the drawings for the convenience of describing the patent and for the simplicity of description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are not to be considered limiting of the patent.
Example 1
Referring to fig. 1, in an embodiment of the present invention, an ultra-large bus turn-by-turn early warning system based on vehicle-road cooperation includes a data analysis module 100, a vehicle monitoring module 200, and a turn monitoring module 300, where the data analysis module 100 is connected to the vehicle monitoring module 200 and the turn monitoring module 300, respectively, where:
the vehicle monitoring module 200 is configured to collect target vehicle information, extract vehicle characteristic data of the target vehicle information, and send the vehicle characteristic data to the data analysis module 100;
the curve monitoring module 300 is configured to acquire target curve information, extract curve feature data of the target curve information, and send the curve feature data to the data analysis module 100; and
the system is used for collecting the pedestrian information of the curve, identifying the pedestrian information data and sending the pedestrian information data to the data analysis module 100; the data analysis module 100 is configured to receive the vehicle characteristic data sent by the vehicle monitoring module 200; and
receiving curve characteristic data and pedestrian information data sent by a curve monitoring module 300; and
and analyzing the vehicle characteristic data, the curve characteristic data and the pedestrian information data to obtain an analysis result, and generating a prompt instruction according to the analysis result.
In the embodiment of the present invention, it should be noted that the target vehicle information includes basic information and traveling information of the vehicle, where: the basic information of the vehicle comprises license plate information and vehicle type information, and specifically, the vehicle type information comprises basic data such as weight, length, width and the like of the vehicle; the driving information of the vehicle comprises the driving speed of the vehicle and the angle between the driving wheel and the curve when the vehicle enters the curve;
further, the vehicle characteristic data is decisive data for representing whether the vehicle can bend, the vehicle characteristic data can be one data or a group of data, and the vehicle characteristic data are different according to different vehicle types, for example, for an ultra-large vehicle, the size of the ultra-large vehicle is large, in order to determine whether the vehicle can safely enter or exit a curve, not only the bending speed of the vehicle but also the bending angle of the vehicle and the distance between the vehicle body and the curve need to be considered, namely, the vehicle characteristic data are the running speed of the vehicle, the angle between a driving wheel and the curve and the width of the vehicle body;
it should be further noted that the curve information includes a curve size, a curve geographical position, a curve curvature radius, an entering/exiting direction and a curve limit speed, and curve characteristic data representing that the vehicle can smoothly enter or exit the curve are the curve size, the curve curvature radius and the curve limit speed;
it should be further noted that the pedestrian information data includes information data of a target pedestrian traveling in a target curve, the target pedestrian includes a pedestrian and a non-motor vehicle, and the way of collecting the pedestrian information data by the curve monitoring module 300 is as follows:
shooting a picture of a target pedestrian through an infrared camera assembly, identifying the picture, and acquiring pedestrian information data with the number and the position of the target pedestrian;
in the embodiment of the present invention, the present invention further includes an early warning module 400 and a display module 500, where the early warning module 400 and the display module 500 are both connected to the data analysis module 100, where:
the data analysis module 100 is further configured to send a prompt instruction to the early warning module 400 and the display module 500;
the early warning module 400 is configured to receive a prompt instruction sent by the data analysis module 100, and alarm according to the prompt instruction;
a display module 500, configured to obtain an analysis result of the data analysis module 100, and display the analysis result to notify a driver to change a driving state in time, so as to ensure that a vehicle safely enters or exits a curve;
further, in the embodiment of the present invention, the early warning module 400 includes an instruction receiving unit 410, an instruction allocating unit 420, and an alarm unit 430, where the instruction receiving unit 410 is connected to the instruction allocating unit 420, and the instruction allocating unit 420 is connected to the alarm unit 430, where:
the instruction receiving unit 410 is configured to receive a prompt instruction sent by the data analysis module 100, generate an alarm instruction according to the prompt instruction, and send the alarm instruction to the instruction allocating unit 420;
the instruction distribution unit 420 is configured to receive the alarm instruction sent by the instruction receiving unit 410, and distribute an alarm task according to the alarm instruction;
it should be noted that the alarm unit 430 includes at least one audible and visual alarm disposed in a target curve and at least one remote alarm disposed in a cab of the target vehicle;
further, the manner of allocating the alarm task by the instruction allocating unit 420 is as follows:
1. when the alarm instruction is a bend-in alarm, the instruction distribution unit 420 controls the remote alarm to give an alarm, prompts a driver to observe the environment of the bend, and reduces the running speed;
2. when the alarm instruction is pedestrian alarm, the instruction distribution unit 420 controls the remote alarm and the audible and visual alarm to alarm simultaneously, prompts a driver to observe the environment of the curve, reduces the driving speed, and prompts pedestrians and non-motor vehicles to pay attention to avoiding the vehicles entering the curve.
In the embodiment of the present invention, the vehicle monitoring module 300 includes a speed measuring unit 210, a distance measuring unit 220, a first shooting unit 230, and a first data processing unit 240, the speed measuring unit 210, the distance measuring unit 220, and the first shooting unit 230 are all connected to the first data processing unit 240, and the first data processing unit 240 is further connected to a vehicle information database 250 and a first data sending unit 260, where:
the speed measuring unit 210 is at least one speed sensor mounted on the vehicle and used for monitoring the speed of the vehicle during running;
the distance measuring unit 220 is at least one distance sensor mounted on the vehicle and used for monitoring the distance between the vehicle body and the road, where it should be noted that the distance between the vehicle body and the road refers to the distance between the vehicle body and a road guardrail;
the first photographing unit 230 is at least one camera assembly mounted on the vehicle and used for photographing a vehicle driving picture, and when the first photographing unit 230 is arranged at different positions, the vehicle driving pictures are different;
the vehicle information database 250 is a data storage device storing at least one piece of vehicle information, and the data storage device may be a local storage device or a cloud storage device.
In the embodiment of the present invention, the curve monitoring module 300 includes a second shooting unit 310, a curve information database 320, and a second data processing unit 330, where the second shooting unit 310 and the curve information database 320 are connected to the second data processing unit 330, and the second data processing unit 330 is further connected to a second data sending unit 340, where:
the second photographing unit 310 is at least one photographing component mounted on the road for photographing the road picture, and when a plurality of photographing components are provided, the photographing components are arranged along the road;
the curve information database 320 is a data storage device storing at least one curve information, and the data storage device may be a local storage device or a cloud storage device.
Example 2
Referring to fig. 1, in an embodiment of the present invention, an ultra-large bus turn-by-turn early warning system based on vehicle-road cooperation includes a data analysis module 100, a vehicle monitoring module 200, and a turn monitoring module 300, where the data analysis module 100 is connected to the vehicle monitoring module 200 and the turn monitoring module 300, respectively, where:
the vehicle monitoring module 200 is configured to collect target vehicle information, extract vehicle characteristic data of the target vehicle information, and send the vehicle characteristic data to the data analysis module 100;
the curve monitoring module 300 is configured to acquire target curve information, extract curve feature data of the target curve information, and send the curve feature data to the data analysis module 100; and
the system is used for collecting the pedestrian information of the curve, identifying the pedestrian information data and sending the pedestrian information data to the data analysis module 100;
the data analysis module 100 is configured to receive the vehicle characteristic data sent by the vehicle monitoring module 200; and
receiving curve characteristic data and pedestrian information data sent by a curve monitoring module 300; and
and analyzing the vehicle characteristic data, the curve characteristic data and the pedestrian information data to obtain an analysis result, and generating a prompt instruction according to the analysis result.
In the embodiment of the present invention, it should be noted that the target vehicle information includes basic information and traveling information of the vehicle, where: the basic information of the vehicle comprises license plate information and vehicle type information, and specifically, the vehicle type information comprises basic data such as weight, length, width and the like of the vehicle; the driving information of the vehicle comprises the driving speed of the vehicle and the angle between the driving wheel and the curve when the vehicle enters the curve;
further, the vehicle characteristic data is decisive data for representing whether the vehicle can bend, the vehicle characteristic data can be one data or a group of data, and the vehicle characteristic data are different according to different vehicle types, for example, for an ultra-large vehicle, the size of the ultra-large vehicle is large, in order to determine whether the vehicle can safely enter or exit a curve, not only the bending speed of the vehicle but also the bending angle of the vehicle and the distance between the vehicle body and the curve need to be considered, namely, the vehicle characteristic data are the running speed of the vehicle, the angle between a driving wheel and the curve and the width of the vehicle body;
it should be further noted that the curve information includes a curve size, a curve geographical position, a curve curvature radius, an entering/exiting direction and a curve limit speed, and curve characteristic data representing that the vehicle can smoothly enter or exit the curve are the curve size, the curve curvature radius and the curve limit speed;
it should be further noted that the pedestrian information data includes information data of a target pedestrian traveling in a target curve, the target pedestrian includes a pedestrian and a non-motor vehicle, and the way of collecting the pedestrian information data by the curve monitoring module 300 is as follows:
shooting a picture of a target pedestrian through an infrared camera assembly, identifying the picture, and acquiring pedestrian information data with the number and the position of the target pedestrian;
in the embodiment of the present invention, the present invention further includes an early warning module 400 and a display module 500, where the early warning module 400 and the display module 500 are both connected to the data analysis module 100, where:
the data analysis module 100 is further configured to send a prompt instruction to the early warning module 400 and the display module 500;
the early warning module 400 is configured to receive a prompt instruction sent by the data analysis module 100, and alarm according to the prompt instruction;
a display module 500, configured to obtain an analysis result of the data analysis module 100, and display the analysis result to notify a driver to change a driving state in time, so as to ensure that a vehicle safely enters or exits a curve;
further, in the embodiment of the present invention, the early warning module 400 includes an instruction receiving unit 410, an instruction allocating unit 420, and an alarm unit 430, where the instruction receiving unit 410 is connected to the instruction allocating unit 420, and the instruction allocating unit 420 is connected to the alarm unit 430, where:
the instruction receiving unit 410 is configured to receive a prompt instruction sent by the data analysis module 100, generate an alarm instruction according to the prompt instruction, and send the alarm instruction to the instruction allocating unit 420;
the instruction distribution unit 420 is configured to receive the alarm instruction sent by the instruction receiving unit 410, and distribute an alarm task according to the alarm instruction;
it should be noted that the alarm unit 430 includes at least one audible and visual alarm disposed in a target curve and at least one remote alarm disposed in a cab of the target vehicle;
further, the manner of allocating the alarm task by the instruction allocating unit 420 is as follows:
1. when the alarm instruction is a bend-in alarm, the instruction distribution unit 420 controls the remote alarm to give an alarm, prompts a driver to observe the environment of the bend, and reduces the running speed;
2. when the alarm instruction is pedestrian alarm, the instruction distribution unit 420 controls the remote alarm and the audible and visual alarm to alarm simultaneously, prompts a driver to observe the environment of the curve, reduces the driving speed, and prompts pedestrians and non-motor vehicles to pay attention to avoiding the vehicles entering the curve.
In the embodiment of the present invention, the vehicle monitoring module 300 includes a speed measuring unit 210, a distance measuring unit 220, a first shooting unit 230, and a first data processing unit 240, the speed measuring unit 210, the distance measuring unit 220, and the first shooting unit 230 are all connected to the first data processing unit 240, and the first data processing unit 240 is further connected to a vehicle information database 250 and a first data sending unit 260, where:
the speed measuring unit 210 is at least one speed sensor mounted on the vehicle and used for monitoring the speed of the vehicle during running;
the distance measuring unit 220 is at least one distance sensor mounted on the vehicle and used for monitoring the distance between the vehicle body and the road, where it should be noted that the distance between the vehicle body and the road refers to the distance between the vehicle body and a road guardrail;
the first photographing unit 230 is at least one camera assembly mounted on the vehicle and used for photographing a vehicle driving picture, and when the first photographing unit 230 is arranged at different positions, the vehicle driving pictures are different;
the vehicle information database 250 is a data storage device storing at least one piece of vehicle information, and the data storage device may be a local storage device or a cloud storage device.
In the embodiment of the present invention, the curve monitoring module 300 includes a second shooting unit 310, a curve information database 320, and a second data processing unit 330, where the second shooting unit 310 and the curve information database 320 are connected to the second data processing unit 330, and the second data processing unit 330 is further connected to a second data sending unit 340, where:
the second photographing unit 310 is at least one photographing component mounted on the road for photographing the road picture, and when a plurality of photographing components are provided, the photographing components are arranged along the road;
the curve information database 320 is a data storage device storing at least one curve information, and the data storage device may be a local storage device or a cloud storage device.
Referring to fig. 1 and 4, the present embodiment is different from embodiment 1 in that:
the system further comprises a human-computer interaction module 600, wherein the human-computer interaction module 600 is connected with the data analysis module 100, and the data analysis module comprises:
the human-computer interaction module 600 is configured to receive a query instruction input by a user, and send the query instruction to the prediction unit 130; and
receiving an analysis result sent by the data analysis module 100, and displaying the analysis result;
in this embodiment of the present invention, the data analysis module 100 includes a data receiving unit 110, a comparing unit 120, a predicting unit 130, and an instruction sending unit 140, where the data receiving unit 110 is connected to the comparing unit 120, the comparing unit 120 is connected to the predicting unit 130, and the predicting unit 130 is connected to the instruction sending unit 140, where:
a data receiving unit 110, configured to receive vehicle characteristic data and curve characteristic data, and send the vehicle characteristic data and the curve characteristic data to a comparing unit 120;
the comparison unit 120 is configured to analyze the vehicle characteristic data and the curve characteristic data to obtain an analysis result, and send the analysis result to the prediction unit 130;
the prediction unit 130 is configured to receive the comparison result sent by the comparison unit 120, perform prediction analysis according to the comparison result to obtain a prediction result, and send the prediction result to the human-computer interaction module 600 and the instruction sending unit 140.
Example 3
An ultra-large bus bending early warning method based on vehicle-road cooperation comprises the following steps:
s100, collecting vehicle information, curve information and pedestrian information, and extracting vehicle characteristic data of target vehicle information and curve characteristic data of a target curve according to the vehicle information and the curve information;
s200, analyzing the vehicle characteristic data, the curve characteristic data and the pedestrian information to obtain an analysis result, judging whether a pedestrian exists in the curve according to the analysis result, continuing to step S300 when the pedestrian exists, and continuing to step S400 when the pedestrian does not exist;
s300, controlling the remote alarm and the audible and visual alarm to alarm simultaneously, and warning a driver and pedestrians simultaneously;
s400, judging whether the vehicle can bend or not according to the analysis result, and if the vehicle can bend, performing S100, and if the vehicle cannot bend, performing S500;
and S500, controlling a remote alarm to give an alarm and giving an alarm to a driver.
The above is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, it is possible to make several variations and modifications without departing from the concept of the present invention, and these should be considered as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the utility of the patent.
Claims (10)
1. The utility model provides an ultra-large bus early warning system that bends based on bus or train route is in coordination, a serial communication port, including data analysis module, vehicle monitoring module and bend monitoring module, data analysis module is connected with vehicle monitoring module and bend monitoring module respectively, wherein:
the vehicle monitoring module is used for acquiring target vehicle information, extracting vehicle characteristic data of the target vehicle information and sending the vehicle characteristic data to the data analysis module;
the curve monitoring module is used for acquiring target curve information, extracting curve characteristic data of the target curve information and sending the curve characteristic data to the data analysis module; and
the system is used for collecting the pedestrian information of the curve, identifying the pedestrian information data and sending the pedestrian information data to the data analysis module; and
the data analysis module is used for receiving the vehicle characteristic data sent by the vehicle monitoring module; and
receiving curve characteristic data and pedestrian information data sent by a curve monitoring module; and
and analyzing the vehicle characteristic data, the curve characteristic data and the pedestrian information data to obtain an analysis result, and generating a prompt instruction according to the analysis result.
2. The system of claim 1, wherein the vehicle characteristic data is data representing whether a vehicle can bend or not; the curve characteristic data is data representing that the vehicle can smoothly go in and out of the curve.
3. The ultra-large bus bending early warning system based on bus-road coordination as claimed in claim 1, further comprising an early warning module and a display module, wherein the early warning module and the display module are both connected with a data analysis module, wherein:
the data analysis module is also used for sending a prompt instruction to the early warning module and the display module;
the early warning module is used for receiving the prompt instruction sent by the data analysis module and giving an alarm according to the prompt instruction;
the display module is used for acquiring the analysis result of the data analysis module and displaying the analysis result so as to inform a driver of changing the driving state in time and ensure that the vehicle safely enters or exits a curve;
the early warning module includes instruction receiving element, instruction distribution unit and alarm unit, instruction receiving element is connected with instruction distribution unit, and instruction distribution unit is connected with alarm unit, wherein:
the instruction receiving unit is used for receiving the prompt instruction sent by the data analysis module, generating an alarm instruction according to the prompt instruction and sending the alarm instruction to the instruction distribution unit;
the instruction distribution unit is used for receiving the alarm instruction sent by the instruction receiving unit and distributing an alarm task according to the alarm instruction;
the alarm unit comprises at least one audible and visual alarm arranged in a target curve and at least one remote alarm arranged in a cab of the target vehicle.
4. The system of claim 1, wherein the vehicle monitoring module comprises a speed measuring unit, a distance measuring unit, a first shooting unit and a first data processing unit, the speed measuring unit, the distance measuring unit and the first shooting unit are all connected with the first data processing unit, and the first data processing unit is further connected with a vehicle information database and a first data sending unit.
5. The system of claim 4, wherein the vehicle-road coordination-based ultra-large bus curve-passing early warning system comprises a vehicle-road coordination-based ultra-large bus curve-passing early warning system,
the speed measuring unit is at least one speed sensor arranged on the vehicle and used for monitoring the speed of the vehicle during running;
the distance measuring unit is at least one distance sensor mounted on the vehicle and used for monitoring the distance between the vehicle body and the road, wherein the distance between the vehicle body and the road refers to the distance between the vehicle body and a road guardrail;
the first shooting unit is at least one camera assembly arranged on the vehicle and used for shooting the vehicle running pictures, and when the first shooting unit is arranged at different positions, the vehicle running pictures are different;
the vehicle information database is a data storage device for storing at least one piece of vehicle information, and the data storage device can be a local storage device or a cloud storage device.
6. The system of claim 1, wherein the curve monitoring module comprises a second shooting unit, a curve information database and a second data processing unit, the second shooting unit and the curve information database are connected with the second data processing unit, and the second data processing unit is further connected with a second data sending unit.
7. The system of claim 1, wherein the vehicle-road coordination-based ultra-large bus curve-passing early warning system comprises a vehicle-road coordination-based ultra-large bus curve-passing early warning system,
the second shooting unit is at least one shooting assembly which is arranged on the road and used for shooting road pictures, and when a plurality of shooting assemblies are arranged, the shooting assemblies are arranged along the road;
the curve information database is a data memory for storing at least one curve information, and the data memory can be a local memory or a cloud memory.
8. The ultra-large bus bending early warning system based on bus-road coordination as claimed in claim 1, further comprising a human-computer interaction module, wherein the human-computer interaction module is connected with the data analysis module, and wherein:
the human-computer interaction module is used for receiving a query instruction input by a user and sending the query instruction to the prediction unit; and receiving an analysis result sent by the data analysis module, and displaying the analysis result.
9. The system of claim 8, wherein the data analysis module comprises a data receiving unit, a comparison unit, a prediction unit and a command sending unit, the data receiving unit is connected with the comparison unit, the comparison unit is connected with the prediction unit, and the prediction unit is connected with the command sending unit.
10. The method for the ultra-large bus turn-by early warning system based on the vehicle-road cooperation according to any one of claims 1 to 9, which is characterized by comprising the following steps:
s100, collecting vehicle information, curve information and pedestrian information, and extracting vehicle characteristic data of target vehicle information and curve characteristic data of a target curve according to the vehicle information and the curve information;
s200, analyzing the vehicle characteristic data, the curve characteristic data and the pedestrian information to obtain an analysis result, judging whether a pedestrian exists in the curve according to the analysis result, continuing to step S300 when the pedestrian exists, and continuing to step S400 when the pedestrian does not exist;
s300, controlling the remote alarm and the audible and visual alarm to alarm simultaneously, and warning a driver and pedestrians simultaneously;
s400, judging whether the vehicle can bend or not according to the analysis result, and if the vehicle can bend, performing S100, and if the vehicle cannot bend, performing S500;
and S500, controlling a remote alarm to give an alarm and giving an alarm to a driver.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111160293.6A CN113936457A (en) | 2021-09-30 | 2021-09-30 | Ultra-large bus bending early warning system and method based on vehicle-road cooperation |
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| CN202111160293.6A CN113936457A (en) | 2021-09-30 | 2021-09-30 | Ultra-large bus bending early warning system and method based on vehicle-road cooperation |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115610440A (en) * | 2022-11-08 | 2023-01-17 | 济南卓伦智能交通技术有限公司 | Double-radar curve speed measurement early warning system based on millimeter waves |
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2021
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115610440A (en) * | 2022-11-08 | 2023-01-17 | 济南卓伦智能交通技术有限公司 | Double-radar curve speed measurement early warning system based on millimeter waves |
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