CN208855629U - A kind of expressway bend rollover sideslip early warning system - Google Patents
A kind of expressway bend rollover sideslip early warning system Download PDFInfo
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- CN208855629U CN208855629U CN201821423255.9U CN201821423255U CN208855629U CN 208855629 U CN208855629 U CN 208855629U CN 201821423255 U CN201821423255 U CN 201821423255U CN 208855629 U CN208855629 U CN 208855629U
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Abstract
The utility model discloses a kind of expressway bend turn on one's side sideslip early warning system, including the image collection module for obtaining highway image in real time, for receiving highway image, and confirm the section whether be bend picture recognition module；For acquiring the intelligent monitored control module of the Physiological Psychology information of driver；Further include being connect with picture recognition module, image collection module and intelligent monitored control module, and according to information architecture bend car speed prediction model is obtained, obtains vehicle and whether turn on one's side the central processing unit of information of breakking away.The utility model is of great significance to level of security at expressway bend is improved.
Description
Technical field
The utility model relates to field of traffic, and in particular to a kind of expressway bend rollover sideslip early warning system.
Background technique
For highway as the most important component part of China's composite communications transport system, total kilometrage has occupied the whole world
Two, there are the advantages such as same tropism, totally-enclosed property, agility, comfort and fuel economy.Its fast development drives
Regional economy Linking Development improves people's lives level, has pushed the development of society.But highway to people with
While coming convenient and efficient, there is also part highways since with a varied topography, sharp turn abrupt slope is more, awful weather, Road
The factors such as shape is changeable make traffic safety problem extremely prominent.The number that annual China dies of rollover event increases year by year, according to system
The rollover sideslip lethality for counting China is 5 times of European and American developed countries or so, it is seen that the rollover of vehicle occurred in bend is
As the major issue for influencing traffic safety.And studies at home and abroad show that, 1/3 traffic accident is caused by speed reason
, speed comes second in all reasons, so it is necessary to carry out bend early warning.
Relatively common bend prior-warning device is just like trackside setting guardrail, reflective guide mark, sharp turn caution sign, convex at present
Face reflective mirror, paving anti-slip material and the vibration graticule etc. that slows down, these erection of equipment get up more complicated, it is possible to can break
Bad road surface safeguards that also relatively difficult and early warning effect is less desirable.Also there is exploitation corresponding curved for different type vehicle
The facilities such as road pre-alarming control system, the equipment for detecting road information or navigation system, but one side vehicle cost is promoted, and is driven
Person is difficult to receive, and is on the other hand that the vehicles having are fitted without such system or the system breaks down, so that such side
Formula is costly, low efficiency, cannot effectively avoid accident.
Utility model content
In order to overcome shortcoming and deficiency of the existing technology, the utility model provides a kind of expressway bend rollover side
Sliding early warning system.
The technology contents of the utility model:
A kind of expressway bend rollover sideslip early warning system, comprising:
For obtaining the image collection module of highway image in real time；
For receiving highway image, and confirm the section whether be bend picture recognition module；
For acquiring the intelligent monitored control module of the Physiological Psychology information of driver；
Further include connect with picture recognition module, image collection module and intelligent monitored control module, and according to obtain information structure
Bend car speed prediction model is built, vehicle is obtained and whether turns on one's side the central processing unit of information of breakking away.
The utility model further includes display and alarm, and the central processing unit connects with display and alarm respectively
It connects.
The intelligent monitored control module is Intelligent bracelet, is arranged with driver.
The central processing unit includes data input module, information collection module, information storage module, message processing module
With information transmitting module.
The display uses touch display screen.
The central processing unit uses model TMS320C6748.
It is camera that described image, which obtains module,.
The course of work of the utility model:
Image collection module obtains the image of highway, and by the image transmitting of acquisition to picture recognition module；
Picture recognition module is identified by feature, is judged in front of driver by the way that image information is changed into digital signal
Whether section is bend, then inputs central processing unit if bend, and image and GPS data are precisely matched, judge vehicle
Place bend position obtains turning radius, profile grade, bend length and speed-limiting messages；
Central processing unit obtains real-time information of vehicles, vehicle traveling information, driver personal information, physiological driver's heart
Information, GPS data, bend information and Weather information are managed, and it is pre- to be entered into trained expressway bend car speed
Model is surveyed, prediction obtains vehicle in the speed V of bendw；
The coefficient of friction in current curve section is obtained according to Weather information and bend information, and inputs bend dynamics of vehicle
Model, and the critical speed in section of going off the curve is calculated, including rollover critical speed VRolloverWith sideslip critical speed VIt breaks away；
If bend car speed VwGreater than rollover critical speed or sideslip critical speed, then vehicle has bend side at this time
It is dangerous to turn over sideslip, then display shows the real-time speed of vehicle, rollover critical speed VRolloverWith sideslip critical speed VIt breaks awayAnd show danger
Dangerous text warning, alarm, which then issues voice alarm prompt driver's slow down, prevents side sliding and side turning.
The utility model has the beneficial effects that
(1) the utility model proposes expressway bend rollover sideslip early warning systems, to expressway bend
In rollover break away dangerous operating status vehicle carry out scientific and reasonable warning in advance to breakking away for prevention vehicle rollover and
It knocks into the back and is supported with pileup providing method, is of great significance to level of security at expressway bend is improved.
(2) each actual speed for crossing bend of vehicle is all transferred to the memory module of central processing unit, to highway
Bend car speed prediction model carry out re -training calibrate to obtain new prediction model for next time predict so that predicting more
Precisely
(3) system structure is relatively easy, and equipment therefor is less, can largely save installation cost, and can operate
Property and practical, can comparatively fast spread in expressway bend early warning.
Detailed description of the invention
Fig. 1 is the structure connection figure of the utility model.
Specific embodiment
Below with reference to examples and drawings, the utility model is described in further detail, but the reality of the utility model
It is without being limited thereto to apply mode.
Embodiment
The sideslip early warning system as shown in Figure 1, a kind of expressway bend is turned on one's side, comprising: image collection module, image recognition
Module, Intelligent bracelet, wireless telecommunications system, central processing unit, display and alarm；
Described image obtains module and connect with picture recognition module, described image identification module, image collection module, intelligence
Bracelet is connect with central processing unit, and central processing unit is connect by wireless telecommunications system with display and alarm.
Described image obtains module and takes CCD camera sensor, for obtaining the image of highway, and by acquisition
Image transmitting is to picture recognition module；
Picture recognition module converts the image into digital signal after receiving image, identifies whether section is curved in image
Road then inputs central processing unit if it is bend.
The Intelligent bracelet includes information acquisition device and wireless signal transmitter, and the Physiological Psychology for acquiring driver is believed
Breath, and central processing unit is transmitted to by wireless signal generator.
Physiological driver's psychographic information includes heart rate, heart rate variability, blood pressure and degree of fatigue information.
The central processing unit includes data input module, information collection module, information storage module, information processing mould
Block and information transmitting module.The data input module is used for typing information of vehicles and driver personal information；The information
Collection module be used for collects by Intelligent bracelet transmit physiological driver's psychographic information, Weather information, vehicle traveling information and
Bend information.The storage information module is for storing under each section bend information and different road surface types different weather environment
Coefficient of friction；The message processing module is predicted to obtain vehicle by the expressway bend car speed prediction model constructed
In bend car speed, and the dangerous processing information that rollover is breakked away is judged whether there is with this；The information transmitting module is used
In the processing information is sent to wireless telecom equipment, display and alarm.
The information of vehicles includes the length, nt wt net weight, all-up weight, wheel information, engine performance of vehicle
The information such as the weight and height of information and vehicle under different load situations；The driver personal information include gender,
The information such as age, driving age, each section familiarity and year mileage travelled；Physiological driver's psychographic information includes the heart
Rate, heart rate variability, blood pressure and degree of fatigue information；The Weather information includes temperature, humidity, rainfall and demeanour etc.
Information；The vehicle traveling information includes speed, acceleration absolute value and the absolute value information of section speed difference；The bend letter
Breath includes turning radius, profile grade, bend length and speed-limiting messages.The expressway bend car speed prediction
Model is first tested at expressway bend before formally using early warning system by driver, obtains enough experiment numbers
According to, and driver personal information, information of vehicles, the physiological driver's psychographic information, vehicle driving collected in advance according to test section
The expressway bend car speed prediction model of information, Weather information and bend information architecture based on RBF neural.
The central processing unit uses model TMS320C6748, and display uses touch display screen, and described image obtains mould
Block, picture recognition module, display, alarm and central processing unit are installed in headstock.
The course of work of the utility model is as follows:
Image collection module obtains the image at expressway bend, and acquired image is transferred to image recognition mould
Block；
Picture recognition module is identified by feature, is judged in front of driver by the way that image information is changed into digital signal
Whether section is bend；
If section is for bend in front of driver, image and the GPS data of collection are carried out accurate by central processing unit
Match, bend position where judging vehicle；
Turning radius, the profile grade, bend length of bend where central processing unit is obtained by information storage module
And speed-limiting messages；
Central processing unit, which obtains real-time vehicle by data input module, information collection module and information storage module, to be believed
Breath, vehicle traveling information, driver personal information, physiological driver's psychographic information, GPS data, bend information and Weather information,
And it is entered into expressway bend car speed prediction model and predicts to obtain vehicle in bend car speed Vw；
Central processing unit obtains the coefficient of friction in current curve section according to Weather information and bend information, and is input to curved
Road vehicle dynamic model, and the critical speed in bend section at this time is calculated, including rollover critical speed VRolloverIt is critical with breakking away
Vehicle velocity VIt breaks away；
If bend car speed VwGreater than rollover critical speed VRolloverOr sideslip critical speed VIt breaks away, then vehicle has at this time
Turning on one's side in bend, sideslip is dangerous, and display can show the real-time speed of vehicle, rollover critical speed V at this timeRolloverWith sideslip critical speed
VIt breaks awayAnd showing dangerous text warning, alarm, which then issues voice alarm prompt driver's slow down, prevents side sliding and side turning；
Warning information is sent to wireless telecom equipment by central processing unit, is sent warning information by information launch terminal
To other vehicles in current curve section, current other vehicles take appropriate measures according to the information received, avoid vehicle
Traveling occurs dangerous.
The actual speed that vehicle crosses bend is transferred to the memory module of central processing unit, to expressway bend vehicle speed
Degree prediction model carries out re -training and calibrates to obtain new prediction model for next prediction.
The utility model is obtaining driver personal information, physiological driver's psychographic information, information of vehicles, vehicle driving letter
On the basis of breath, GPS data, bend information and Weather information, in conjunction with machine learning algorithm, construct based on RBF neural
Expressway bend car speed prediction model, to vehicle in bend car speed VwIt is predicted.And with pass through bend vehicle
The rollover critical speed V that kinetic model is calculatedRolloverWith sideslip critical speed VIt breaks awayCompare, it is dangerous to carry out vehicle rollover sideslip
Differentiate, vehicle rollover sideslip danger is transmitted and is warned, to complete expressway bend rollover sideslip early warning, service truck
Traffic safety.
Above-described embodiment is the preferable embodiment of the utility model, but the embodiments of the present invention is not by described
The limitation of embodiment, it is made under other any spiritual essence and principles without departing from the utility model to change, modify, replacing
In generation, simplifies combination, should be equivalent substitute mode, is included within the protection scope of the utility model.
Claims (7)
- The sideslip early warning system 1. a kind of expressway bend is turned on one's side characterized by comprisingFor obtaining the image collection module of highway image in real time；For receiving highway image, and confirm the section whether be bend picture recognition module；For acquiring the intelligent monitored control module of the Physiological Psychology information of driver；Further include connect with picture recognition module, image collection module and intelligent monitored control module, and according to obtain information architecture it is curved Whether road car speed prediction model obtains vehicle and turns on one's side the central processing unit of information of breakking away.
- The sideslip early warning system 2. expressway bend according to claim 1 is turned on one's side, which is characterized in that further include display And alarm, the central processing unit are connect with display and alarm respectively.
- The sideslip early warning system 3. expressway bend according to claim 1 is turned on one's side, which is characterized in that the intelligent monitoring Module is Intelligent bracelet, is arranged with driver.
- The sideslip early warning system 4. expressway bend according to claim 1 is turned on one's side, which is characterized in that the central processing Device includes data input module, information collection module, information storage module, message processing module and information transmitting module.
- The sideslip early warning system 5. expressway bend according to claim 2 is turned on one's side, which is characterized in that the display is adopted Use touch display screen.
- The sideslip early warning system 6. expressway bend according to claim 1 is turned on one's side, which is characterized in that the central processing Device uses model TMS320C6748.
- The sideslip early warning system 7. expressway bend according to claim 1 is turned on one's side, which is characterized in that described image obtains Module is camera.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821423255.9U CN208855629U (en) | 2018-08-31 | 2018-08-31 | A kind of expressway bend rollover sideslip early warning system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201821423255.9U CN208855629U (en) | 2018-08-31 | 2018-08-31 | A kind of expressway bend rollover sideslip early warning system |
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| CN208855629U true CN208855629U (en) | 2019-05-14 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109050521A (en) * | 2018-08-31 | 2018-12-21 | 华南理工大学 | A kind of expressway bend rollover sideslip early warning system and method |
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2018
- 2018-08-31 CN CN201821423255.9U patent/CN208855629U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109050521A (en) * | 2018-08-31 | 2018-12-21 | 华南理工大学 | A kind of expressway bend rollover sideslip early warning system and method |
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190514 Termination date: 20190831 |