CN108091139A - A kind of traffic safety automatic evaluation system based on big data - Google Patents
A kind of traffic safety automatic evaluation system based on big data Download PDFInfo
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- CN108091139A CN108091139A CN201810064614.4A CN201810064614A CN108091139A CN 108091139 A CN108091139 A CN 108091139A CN 201810064614 A CN201810064614 A CN 201810064614A CN 108091139 A CN108091139 A CN 108091139A
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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
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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Abstract
The present invention discloses a kind of traffic safety automatic evaluation system based on big data, including car-mounted terminal, Cloud Server, traffic administration terminal and mobile terminal；Cloud Server is connected respectively with car-mounted terminal, traffic administration terminal and communication of mobile terminal, and traffic administration terminal is connected with communication of mobile terminal；Car-mounted terminal includes in-vehicle processor and the vehicle localization module, vehicle speed sensing module, spacing detection module, road image acquisition module and the road evenness detection module that are connected with in-vehicle processor.Traffic safety automatic evaluation system provided by the invention based on big data, comprehensive analysis is carried out to condition of road surface in vehicle travel process and traveling state of vehicle, and then calculate the safety evaluation of vehicle in the process of moving, improve the security of vehicle traveling, reduce car accident, it avoids the problem that Cloud Server computes repeatedly simultaneously, has the characteristics that the reliability of safety evaluation is high, economizes on resources.
Description
Technical field
The invention belongs to traffic safety technology field, be related to a kind of traffic safety based on big data and assess automatically be
System.
Background technology
With the raising of people's traffic safety consciousness, research and develop various vehicle safety auxiliary for enhancing vehicle drive security and drive
Sailing system has become the hot issue of traffic safety and Vehicular intelligentization research.The essence of active safety systems of vehicles is pair
Driving safety state, travel condition of vehicle and environmental information of driver etc. are monitored in real time, discrimination and predict driving danger
Dangerous state is simultaneously reminded in time, actively intervenes the intervention or control of vehicle operation if necessary.
Existing vehicle, since the road environment to traveling is unfamiliar with, easily causes vehicle during road driving
Turn on one's side, scrape the accidents such as vehicle chassis and tire explosion, cause the damage of vehicle, at the same also can driver and traveling road
People threatens safely, and does not occur providing reliable drive advice according to the actual road conditions of road for vehicle at present, and then
It is safe driving on the road in order to improve vehicle, a kind of traffic safety automatic evaluation system based on big data is now designed, it can
The security of driving is assessed according to condition of road surface and traveling state of vehicle, reduces the danger of vehicle in the process of moving
The purpose gone on a journey safely is improved in danger.
The content of the invention
It is an object of the invention to provide a kind of traffic safety automatic evaluation systems based on big data, solve existing road
Road traffic is poor there are security, can not realize the problem of assessing road traffic, is not easy to driver according to road like
Condition carries out the driving of safety, improves the safety and reliability of driving.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of traffic safety automatic evaluation system based on big data, it is whole including car-mounted terminal, Cloud Server, traffic administration
End and mobile terminal；
The Cloud Server is connected respectively with car-mounted terminal, traffic administration terminal and communication of mobile terminal, the traffic pipe
Reason terminal is connected with communication of mobile terminal；
For the car-mounted terminal for inputting the destination that vehicle reaches in advance, vehicle obtains vehicle in real time during traveling
Location, the speed of vehicle traveling, the distance and surface evenness of vehicle week lateral extent other vehicles, by the position of acquisition
It puts, speed, spacing and surface evenness information are sent to Cloud Server；
Vehicle location that the Cloud Server is sent according to car-mounted terminal, Vehicle Speed, vehicle week lateral extent its
Range information of the range information, the road image information and vehicle chassis of acquisition of his vehicle apart from ground, to vehicle in road
The safety traffic of road is assessed, and safety traffic assessment result is respectively sent to traffic administration terminal and mobile terminal；
The Cloud Server extracts the vehicle present position in the road image information of reception, and by the vehicle of extraction
The various criterion road image information of present position and setting is compared one by one, filters out the road image information with reception
The standard road image information that middle vehicle present position matches, the vehicle location being distributed in road image is quantified, and is turned
Specific distance is changed into, according to the position in the corresponding various criterion road image information of all vehicles in acquisition image, vehicle
Corresponding location sets are Ai (a1, a2 ..., ad), and ai is the distance of i-th spacing vehicle in image information；Pass through vehicle
The vehicle distances of vehicle side are detected away from detection module, form distance set Bj；
Distance change frequency P of the vehicle chassis that the Cloud Server statistics receives within the unit interval apart from groundCn, root
According to distance change frequency PCnCalculate the flatness on road surface；
The cloud service by drive safely assessment algorithm to current vehicle travel during speed, vehicle week lateral extent
Position in the distances of other vehicles, acquisition image in the corresponding various criterion road image information of all vehicles and according to vehicle
The distance change analysis vehicle safety coefficient, and judge the vehicle of vehicle current driving driving on the road of chassis apart from ground
Speed and distance change frequency PCnUnder safety traffic speed relation, wherein, V safety traffic speed=1000/PCn, it is single
Position is Km/h, and when V current vehicle speed ＞ V safety traffic speeds, car-mounted terminal carries out alarm, until V current vehicle speed ＜ V safety
Speed of operation；
The corresponding safety traffic assessment result of different position is sent to mobile terminal for the cloud service and traffic administration is whole
It holds, the mobile terminal on vehicle receives safety traffic assessment result, is driven by voice prompt personnel safety, and driver
Road traffic condition can be sent by mobile terminal to Cloud Server；
The traffic administration terminal is used to receive the safety traffic assessment result of Cloud Server transmission, and safety traffic is commented
Valency result is sent to this and travels the corresponding car-mounted terminal of all vehicles on estimating.
Further, the car-mounted terminal includes in-vehicle processor, vehicle localization module, vehicle speed sensing module, vehicle
Away from detection module, road image acquisition module and road evenness detection module, the in-vehicle processor respectively with vehicle location
Module, vehicle speed sensing module, spacing detection module, road image acquisition module are connected with road evenness detection module；
The vehicle localization module is used for the position of real-time collection vehicle, and vehicle speed sensing module is used for collection vehicle row
The speed sailed, the spacing detection module are distributed in the side of vehicle respectively, for detecting vehicle week lateral extent other vehicles
Distance, and the range information for speed and vehicle week lateral extent other vehicles that the vehicle location of detection, vehicle are travelled is sent
To in-vehicle processor；
The road image acquisition module is used to gather the image information of road, and the road image information of acquisition is sent
To in-vehicle processor.
The road evenness detection module includes multiple infrared distance sensors, and at the chassis of vehicle, uses
In distance of the detection vehicle chassis apart from ground, and the distance of detection is sent to in-vehicle processor；
The in-vehicle processor by the vehicle location of reception, Vehicle Speed, vehicle week lateral extent other vehicles away from
The range information on ground is sent to Cloud Server with a distance from information, the road image information of acquisition and vehicle chassis.
Further, the safety traffic assessment result includes safety traffic assessment probability, safety traffic speed and works as
Vehicle in front traveling-position.
Further, the distance change frequency isWherein, mk is kth in T time section
The distance change number of a infrared distance sensor detection.
Further, the safety traffic assessment algorithm is calculated using cloud security traveling assessment probability, safety coefficientWherein Q is the safety coefficient that vehicle travels on present road.
Beneficial effects of the present invention：
Traffic safety automatic evaluation system provided by the invention based on big data, to condition of road surface in vehicle travel process
And traveling state of vehicle carries out comprehensive analysis, and then the safety evaluation of vehicle in the process of moving is calculated, improve vehicle
The security of traveling, reduces car accident, while avoids the problem that Cloud Server computes repeatedly, and have a safety evaluation can
By property it is high, economize on resources the characteristics of.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, embodiment will be described below required
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is only some embodiments of the present invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of schematic diagram of the traffic safety automatic evaluation system based on big data of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained all other without creative efforts
Embodiment belongs to the scope of protection of the invention.
Refering to Figure 1, the present invention is a kind of traffic safety automatic evaluation system based on big data, including vehicle-mounted end
End, Cloud Server, traffic administration terminal and mobile terminal；
Cloud Server is connected respectively with car-mounted terminal, traffic administration terminal and communication of mobile terminal, and the traffic administration is whole
End is connected with communication of mobile terminal；
For car-mounted terminal for inputting the destination that vehicle reaches in advance, vehicle obtains vehicle institute in real time during traveling
The position at place, the speed of vehicle traveling, the distance and surface evenness of vehicle week lateral extent other vehicles, by the position of acquisition,
Speed, spacing and surface evenness information are sent to Cloud Server；
The car-mounted terminal includes in-vehicle processor, vehicle localization module, vehicle speed sensing module, spacing detection mould
Block, road image acquisition module and road evenness detection module, the in-vehicle processor respectively with vehicle localization module, vehicle
Speed sensing module, spacing detection module, road image acquisition module are connected with road evenness detection module；
The vehicle localization module is used for the position of real-time collection vehicle, and vehicle speed sensing module is used for collection vehicle row
The speed sailed, the spacing detection module are distributed in the side of vehicle respectively, for detecting vehicle week lateral extent other vehicles
Distance, and the range information for speed and vehicle week lateral extent other vehicles that the vehicle location of detection, vehicle are travelled is sent
To in-vehicle processor；
Road image acquisition module is used to gather the image information of road, and the road image information of acquisition is sent to vehicle
Borne processor.
Road evenness detection module includes multiple infrared distance sensors, and at the chassis of vehicle, for examining
Distance of the vehicle chassis apart from ground is surveyed, and the distance of detection is sent to in-vehicle processor；
The in-vehicle processor by the vehicle location of reception, Vehicle Speed, vehicle week lateral extent other vehicles away from
The range information on ground is sent to Cloud Server with a distance from information, the road image information of acquisition and vehicle chassis.
Vehicle location that the Cloud Server is sent according to car-mounted terminal, Vehicle Speed, vehicle week lateral extent its
Range information of the range information, the road image information and vehicle chassis of acquisition of his vehicle apart from ground, to vehicle in road
The safety traffic of road is assessed, and safety traffic assessment result is respectively sent to traffic administration terminal and mobile terminal；
The assessment result that wherein drives safely includes safety traffic assessment probability, safety traffic speed and current vehicle traveling-position etc..
The Cloud Server extracts the vehicle present position in the road image information of reception, and by the vehicle of extraction
The various criterion road image information of present position and setting is compared one by one, filters out the road image information with reception
The standard road image information that middle vehicle present position matches, the standard road image information are on different roads width points
The vehicle location of cloth wherein the vehicle location being distributed is quantified, is converted into specific distance, according to all vehicles in acquisition image
Position in corresponding various criterion road image information, the corresponding location sets of vehicle are Ai (a1, a2 ..., ad), ai
For the distance of i-th spacing vehicle in image information；The vehicle distances of vehicle side are carried out by spacing detection module
Detection forms distance set Bj (b1, b2 ..., bc), wherein, b1 is distance of the vehicle away from front vehicles, and installs up time
Sequence is numbered in clock, is followed successively by 1,2 ..., j；
In addition, Cloud Server counts distance change frequency P of the vehicle chassis received within the unit interval apart from groundCn,
According to distance change frequency PCnIt can determine whether the flatness on road surface, different distance change frequency PCn corresponds to different safety traffics
Speed, wherein, distance change frequency(1), mk is in T time section, k-th of infrared distance measurement senses
The distance change number of device detection.
Cloud service by drive safely assessment algorithm to current vehicle travel during speed, vehicle week lateral extent other
Position in the distance of vehicle, acquisition image in the corresponding various criterion road image information of all vehicles and according to vehicle bottom
Safety coefficient, the safety traffic assessment probability use public distance change analysis vehicle of the disk apart from ground driving on the road
Formula safety coefficient Q,(2), Q is that the safety that vehicle travels on present road is wherein in formula (2)
Number.
Judge the car speed of vehicle current driving and distance change frequency PCnUnder safety traffic speed judged,
In, V safety traffics speed=1000/PCn, unit Km/h, the speed if V current vehicle speed ＞ V drive safely, car-mounted terminal progress
Alarm, the speed until V current vehicle speed ＜ V drive safely.
The corresponding safety traffic assessment result of different position is sent to mobile terminal and traffic administration terminal, vehicle by cloud service
The mobile terminal of driver receives safety traffic assessment result, is driven by voice prompt personnel safety, in addition, driving
Personnel can also send road traffic condition to Cloud Server by mobile terminal, inaccurate convenient for the scope of assessment of Cloud Server.
Traffic administration terminal is used to receive the safety traffic assessment result of Cloud Server transmission, and safety traffic evaluation is tied
Fruit is sent to this and travels the corresponding car-mounted terminal of all vehicles on estimating, driver is reminded to carry out note that avoiding simultaneously
Cloud Server computes repeatedly, and improves the reliability of safety evaluation.
Traffic safety automatic evaluation system provided by the invention based on big data, to condition of road surface in vehicle travel process
And traveling state of vehicle carries out comprehensive analysis, and then the safety evaluation of vehicle in the process of moving is calculated, improve vehicle
The security of traveling, reduces car accident, while avoids the problem that Cloud Server computes repeatedly, and have a safety evaluation can
By property it is high, economize on resources the characteristics of.
More than content is only to design example and explanation of the invention, affiliated those skilled in the art
Various modifications or additions are done to described specific embodiment or are substituted in a similar way, without departing from invention
Design or surmount scope defined in the claims, be within the scope of protection of the invention.
Claims (5)
1. a kind of traffic safety automatic evaluation system based on big data, it is characterised in that：Including car-mounted terminal, Cloud Server,
Traffic administration terminal and mobile terminal；
The Cloud Server is connected respectively with car-mounted terminal, traffic administration terminal and communication of mobile terminal, and the traffic administration is whole
End is connected with communication of mobile terminal；
For the car-mounted terminal for inputting the destination that vehicle reaches in advance, vehicle obtains vehicle institute in real time during traveling
The position at place, the speed of vehicle traveling, the distance and surface evenness of vehicle week lateral extent other vehicles, by the position of acquisition,
Speed, spacing and surface evenness information are sent to Cloud Server；
Vehicle location that the Cloud Server is sent according to car-mounted terminal, Vehicle Speed, vehicle week lateral extent other vehicles
Range information, the range information apart from ground of road image information and vehicle chassis of acquisition, to vehicle on road
Safety traffic assessed, and will safety traffic assessment result be respectively sent to traffic administration terminal and mobile terminal；
The Cloud Server extracts the vehicle present position in the road image information of reception, and by the vehicle institute of extraction
Place position is compared one by one with the various criterion road image information set, is filtered out and vehicle in the road image information of reception
The standard road image information that present position matches, the vehicle location being distributed in road image is quantified, is converted into
Specific distance, according to the position in the corresponding various criterion road image information of all vehicles in acquisition image, vehicle corresponds to
Location sets be Ai (a1, a2 ..., ad), ai is the distance of i-th spacing vehicle in image information；It is examined by spacing
It surveys module to be detected the vehicle distances of vehicle side, forms distance set Bj；
Distance change frequency P of the vehicle chassis that the Cloud Server statistics receives within the unit interval apart from groundCn, according to away from
From change frequency PCnCalculate the flatness on road surface；
The cloud service by drive safely assessment algorithm to current vehicle travel during speed, vehicle week lateral extent other
Position in the distance of vehicle, acquisition image in the corresponding various criterion road image information of all vehicles and according to vehicle bottom
Distance change analysis vehicle of the disk apart from ground safety coefficient, and judge the vehicle speed of vehicle current driving driving on the road
Degree and distance change frequency PCnUnder safety traffic speed between relation, V safety traffic speed=1000/PCn, unit Km/
H, when V current vehicle speed ＞ V safety traffic speeds, car-mounted terminal carries out alarm, the vehicle until V current vehicle speed ＜ V drive safely
Speed；
The corresponding safety traffic assessment result of different position is sent to mobile terminal and traffic administration terminal, vehicle by the cloud service
Mobile terminal on receives safety traffic assessment result, is driven by voice prompt personnel safety, and driver can lead to
It crosses mobile terminal and sends road traffic condition to Cloud Server；
The traffic administration terminal is used to receive the safety traffic assessment result of Cloud Server transmission, and safety traffic evaluation is tied
Fruit is sent to this and travels the corresponding car-mounted terminal of all vehicles on estimating.
2. a kind of traffic safety automatic evaluation system based on big data according to claim 1, it is characterised in that：It is described
Car-mounted terminal includes in-vehicle processor, vehicle localization module, vehicle speed sensing module, spacing detection module, road image and adopts
Collect module and road evenness detection module, the in-vehicle processor respectively with vehicle localization module, vehicle speed sensing module,
Spacing detection module, road image acquisition module are connected with road evenness detection module；
The vehicle localization module is used for the position of real-time collection vehicle, and vehicle speed sensing module is for collection vehicle traveling
Speed, the spacing detection module are distributed in the side of vehicle respectively, for detecting the distance of other vehicles of vehicle week lateral extent,
And the range information for speed and vehicle week lateral extent other vehicles for travelling the vehicle location of detection, vehicle be sent to it is vehicle-mounted
Processor；
The road image acquisition module is used to gather the image information of road, and the road image information of acquisition is sent to vehicle
Borne processor.
The road evenness detection module includes multiple infrared distance sensors, and at the chassis of vehicle, for examining
Distance of the vehicle chassis apart from ground is surveyed, and the distance of detection is sent to in-vehicle processor；
The in-vehicle processor believes the vehicle location of reception, Vehicle Speed, the distance of vehicle week lateral extent other vehicles
The range information of breath, the road image information and vehicle chassis of acquisition apart from ground is sent to Cloud Server.
3. a kind of traffic safety automatic evaluation system based on big data according to claim 1, it is characterised in that：It is described
The assessment result that drives safely includes safety traffic assessment probability, safety traffic speed and current vehicle traveling-position.
4. a kind of traffic safety automatic evaluation system based on big data according to claim 1, it is characterised in that：It is described
Distance change frequency isWherein, mk is in T time section, k-th of infrared distance sensor detects
Distance change number.
5. a kind of traffic safety automatic evaluation system based on big data according to claim 1, it is characterised in that：It is described
Safety traffic assessment algorithm is calculated using safety traffic assessment probability, safety coefficientWherein Q
The safety coefficient travelled for vehicle on present road.
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| CN108777067A (en) * | 2018-06-07 | 2018-11-09 | 郑州云海信息技术有限公司 | A kind of road health degree monitoring method and system |
| CN108830488A (en) * | 2018-06-21 | 2018-11-16 | 重庆大学 | A kind of road area risk assessment method |
| CN109448368A (en) * | 2018-10-22 | 2019-03-08 | 卢伟涛 | A kind of road traffic shunting guidance system based on Image Acquisition |
| CN110070738A (en) * | 2019-05-27 | 2019-07-30 | 广州小鹏汽车科技有限公司 | Drive function recommended method, device and vehicle |
| CN111231971A (en) * | 2020-03-02 | 2020-06-05 | 中汽数据(天津)有限公司 | Automobile safety performance analysis and evaluation method and system based on big data |
| CN111896267A (en) * | 2020-06-22 | 2020-11-06 | 杭州电子科技大学 | Vehicle forward one-key safety detection and evaluation system and method |
| CN114375005A (en) * | 2022-03-21 | 2022-04-19 | 深圳粤讯通信科技有限公司 | Vehicle-road communication test system based on 5G antenna |
| CN114973702A (en) * | 2022-04-21 | 2022-08-30 | 安徽皖通科技股份有限公司 | Traffic cooperative command system based on big data |
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| CN108777067A (en) * | 2018-06-07 | 2018-11-09 | 郑州云海信息技术有限公司 | A kind of road health degree monitoring method and system |
| CN108830488A (en) * | 2018-06-21 | 2018-11-16 | 重庆大学 | A kind of road area risk assessment method |
| CN108830488B (en) * | 2018-06-21 | 2021-06-22 | 重庆大学 | Road area risk degree evaluation method |
| CN109448368A (en) * | 2018-10-22 | 2019-03-08 | 卢伟涛 | A kind of road traffic shunting guidance system based on Image Acquisition |
| CN109448368B (en) * | 2018-10-22 | 2020-08-25 | 广州快速交通建设有限公司 | Road traffic diversion guide system based on image acquisition |
| CN110070738A (en) * | 2019-05-27 | 2019-07-30 | 广州小鹏汽车科技有限公司 | Drive function recommended method, device and vehicle |
| CN111231971A (en) * | 2020-03-02 | 2020-06-05 | 中汽数据(天津)有限公司 | Automobile safety performance analysis and evaluation method and system based on big data |
| CN111231971B (en) * | 2020-03-02 | 2021-04-30 | 中汽数据(天津)有限公司 | Automobile safety performance analysis and evaluation method and system based on big data |
| CN111896267A (en) * | 2020-06-22 | 2020-11-06 | 杭州电子科技大学 | Vehicle forward one-key safety detection and evaluation system and method |
| CN114375005A (en) * | 2022-03-21 | 2022-04-19 | 深圳粤讯通信科技有限公司 | Vehicle-road communication test system based on 5G antenna |
| CN114973702A (en) * | 2022-04-21 | 2022-08-30 | 安徽皖通科技股份有限公司 | Traffic cooperative command system based on big data |
| CN114973702B (en) * | 2022-04-21 | 2023-08-11 | 安徽皖通科技股份有限公司 | Traffic cooperative command system based on big data |
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