CN110316198A - A kind of safe-guard system and operation method for highway speed-raising - Google Patents

A kind of safe-guard system and operation method for highway speed-raising Download PDF

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Publication number
CN110316198A
CN110316198A CN201910687548.0A CN201910687548A CN110316198A CN 110316198 A CN110316198 A CN 110316198A CN 201910687548 A CN201910687548 A CN 201910687548A CN 110316198 A CN110316198 A CN 110316198A
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driver
information
vehicle
module
driving
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竹旭
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竹旭
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W40/09Driving style or behaviour
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/12Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to parameters of the vehicle itself, e.g. tyre models
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096766Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
    • G08G1/096775Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems
    • G08G1/164Centralised systems, e.g. external to vehicles
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems
    • G08G1/166Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W2040/0809Driver authorisation; Driver identical check
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W2040/0818Inactivity or incapacity of driver
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • B60W2050/143Alarm means
    • B60W2550/12
    • B60W2550/141
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2720/00Output or target parameters relating to overall vehicle dynamics
    • B60W2720/10Longitudinal speed
    • B60W2750/40

Abstract

The invention discloses a kind of safe-guard systems and operation method for highway speed-raising, the system includes information storage processing module, the driver identity identification module of driver personal information and information of vehicles for identification, for precisely showing the GPS-BDS locating module of vehicle real-time point, with the driving behavior detection module and travel condition of vehicle detection module of information storage processing module signal interconnection, with the environment detection module and collision warning module of information storage processing module signal interconnection, with the long-distance radio communication module of information storage processing module signal interconnection, voice broadcast module for voice broadcast, and the human-computer interaction module for display reminding information;It can guarantee that driver standardizes driving on a highway, while early warning can be carried out to accident according to environment, the generation of highway chain of rings accident or severe and great casualty be avoided, to ensure driving safety on a highway;It is even higher also Maximum speed limit can be promoted to 140 by 120.

Description

A kind of safe-guard system and operation method for highway speed-raising
Technical field
The present invention relates to highway technical fields, and in particular to a kind of safe-guard system for highway speed-raising And operation method.
Background technique
China's Speed Limitation on Freeway is interior per hour at 60-120 kilometers at present, but expressway traffic accident incidence is higher, because Casualties caused by expressway traffic accident and property loss are countless.Initiation accident main cause can be attributed to two o'clock, and one It is lack of standardization that aspect is that driver itself drives on a highway;On the other hand be due in driving process on a highway, Driver can not accurately know environment variation around, can not control automobile in time when environment mutation, eventually lead to The generation of accident.
Existing to be broadly divided into for the measure that expressway traffic accident takes place frequently: the first is onboard to install accident alarming Device is alarmed to traffic department immediately when an accident occurs, but this method can not give warning in advance to accident, is ensured and is driven The traffic safety of member, is only making corresponding emergency processing after the accident;Second is arranged on highway lane Multiple detection devices carry out early warning to the accidents such as knock into the back by detection device, prevent the generation of accident, this method can not solve Because of accident caused by changing in environment and application cost is higher.
A kind of highway accelerating method is disclosed in application publication number CN108755293A, contains highway, vapour Vehicle, guide rail.After guiding device on automobile is engaged with rail, in the process of moving, automobile is unable to transverse shifting, will not jump upwards It is dynamic, it can only be travelled along guide rail;Guiding device does not influence automobile and travels on common road and street;The ranging thunder installed on automobile Up to preventing rear-end collision;The wide-angle camera and display screen installed on automobile help driver quickly and easily by guiding device and steel Rail engagement;The invention changes the framework and this body structure of vehicle of existing highway, is not applied for most automobiles.
A kind of expressway safety monitoring centralized control system, packet are disclosed in application publication number CN105489022A It includes: multiple groups the first magnet steel inductor being arranged respectively along highway two sides as the guardrail wires plate of conductor, predetermined length Two opposite guardrail wires plates and the first magnet steel inductor of its two sides form the monitoring area of high-frequency reception and high-frequency emission, each Monitoring area receives the second magnet steel induction driven in the monitoring area on motor vehicle by the first magnet steel inductor thereon Device is emitted, and is sent to motor vehicle command information, and send high-speed road conditions information to motor vehicle in the monitoring area is driven to, real Existing information is mutually transmitted;It further include monitoring room and monitoring console, for monitoring all monitoring areas;The system is only real Monitoring is showed, not to realization vehicle speed-raising.
To sum up, the scheme for how realizing highway speed-raising is not suggested that in the prior art, and can not still solve height The problem of how fast highway accident is taken precautions against, therefore, for this expressway traffic accident Precautions, it is important to how to guarantee to drive Specification drives member on a highway, while can carry out early warning to accident according to environment, avoids highway chain of rings thing Therefore generation or severe and great casualty generation, to ensure driving safety on a highway.More very, it is anti-to solve the above accident Model and driving safety security problem, it is even higher that highway Maximum speed limit can be promoted to 140 by 120.
Summary of the invention
In view of this, the present invention provides a kind of safe-guard system and operation method for highway speed-raising, not only It can guarantee that driver standardizes driving on a highway, while early warning can be carried out to accident according to environment, avoid height The generation of fast highway chain of rings accident or the generation of severe and great casualty, to ensure driving safety on a highway;More very, it solves The certainly above accident prevention and driving safety security problem, it is even higher that highway Maximum speed limit can be promoted to 140 by 120.
To solve the above problems, the present invention provides a kind of safe-guard system for highway speed-raising, including information Store processing module, for identification driver personal information and information of vehicles and with the information storage processing module signal interconnection Driver identity identification module, be connected with the driver identity identification module for precisely showing vehicle real-time point GPS-BDS locating module, setting are examined inside the vehicle and with the driving behavior of information storage processing module signal interconnection Module and travel condition of vehicle detection module are surveyed, outside vehicle is set and stores the interconnection of processing module signal with the information Environment detection module and collision warning module are arranged on vehicle and store the interconnection of processing module signal with the information Long-distance radio communication module is arranged on vehicle with information storage processing module signal interconnection and is used for the language of voice broadcast Sound broadcasting module, and with information storage processing module signal interconnection and for the human-computer interaction mould of display reminding information Block.
The information storage processing module is for storing the external information received and automotive interior operation data, while energy The data that modules generate in history driving process are enough stored, by message processing module to the history row in the section run over Information is sailed to be analyzed;
Operational analysis is carried out to received external information and automotive interior operation data, the operational analysis is divided into three parts, The data that driving behavior detection module obtains are handled, at the information that travel condition of vehicle detection module obtains Reason, environment detection module obtain environmental information and are handled, and comprehensive three's data provide safety guarantee to driving conditions;
The driver identity identification module driver personal information and vehicle self information for identification are logical by long distance wireless Believe that module is realized and traffic department data intercommunication;
The GPS-BDS locating module shows vehicle real time position place for accurate, what the GPS-BDS locating module obtained Information automatically switches to expressway safety mode for system when driving into highway, and accident can be convenient for rescue portion when occurring Door finds place where the accident occurred point according to location information;
The driving behavior detection module is used to detect driving behavior, including fatigue detecting and dangerous driving behavior Detection;
The travel condition of vehicle monitoring modular is used for transmission system, driving system, the steering system in vehicle operation It is detected with braking system, each system parameter of acquisition is used to assess the performance of vehicle operation, and then calculate driving Stability;
The environment detection module is for detecting the condition of road surface in driving conditions, weather conditions;
The collision warning module incudes car crass degree according to the multiple sensors that vehicle body is installed, and sends a warning;
The remote wireless communication module is used to receive the location information and accident information of other vehicles transmission;It receives by weather bureau The weather condition data of transmission, the road section jam situation data and condition of road surface data of traffic department's transmission, while in time Own location information and warning information are transmitted, and processing module is stored by information and carries out data processing;
The voice broadcast module is used to carry out voice broadcast to the result of message processing module, reminds that driver is with high safety to drive Sail measure;
For individually calling a certain functions of modules the parameter of each module is arranged, and mention to various in the human-computer interaction interface module Show that information is visualized.
A kind of operation method of the safe-guard system for highway speed-raising:
S1: the identity information and information of vehicles of driver are obtained by driver identity identification module, and is stored by information Processing module carries out data analysis, so that this safe speed range for running on a highway of vehicle is obtained, if being not suitable for Driver or vehicle in highway driving, then forbid it to drive into highway;
S2: being measured in real time the behavior of driver, travel condition of vehicle and environment during vehicle driving, according to The detection information of acquisition adjusts the safe speed range in S1 in time, and by information storage processing module acquisition as a result, passing through Voice broadcast module is prompted with human-computer interaction module, to remind driver to carry out corresponding accident prevention;
S3: when accident not can avoid, then feeding back to traffic department for data information in time, and records the ground of this accident generation Point and cause of accident, and shared accident information to the highway subsequent vehicle by way of telecommunication, as warning.
Further, in S1 non-initial safe speed range formulating method, steps are as follows:
Step a: driver inputs itself fingerprint, scanning face and identity card, and verifies driver by storage processing module True identity, while obtaining according to identity information the driver age from the cloud library of traffic department, the driving age, driving license type, disobeying Zhang Jilu score, dangerous driving score;
Step b: three groups of permissible velocity ranges are generated according to driver's driving age, age, driving license type respectively, and to three groups of speed models It encloses progress intersection operation and obtains comprehensive permissible velocity range;
Step c: score is recorded according to the driver violation on the basis of previous step and adjusts permissible velocity range;
Step d: it keeps the score range of further regulating the speed further according to driver's dangerous driving;
Step e: permissible velocity model is determined according to automobile self power, braking, control stability, ride performance parameter It encloses, takes intersection in conjunction with step d, obtain as a result, being final permissible velocity range, while this record is uploaded to system cloud library.
Further, in S1 initial safe speed formulating method, steps are as follows:
Step a: obtaining the corresponding traveling record of different automobile types from the system that each vehicle is installed, and correspondence obtains different automobile parameters Provide corresponding travel speed;
Step b: obtaining driver drives vehicle historical data from traffic system, including all ages and classes, the driving age, driving license type, violating the regulations It keeps the score, travel speed corresponding to dangerous driving score;
Step c: the obtained driver drives vehicle data of steps 1 and 2 are handled with automobile data, make data set;
Step d: building neural network simultaneously designs corresponding loss function, and data set is input to neural network model and is instructed Practice, debugs the model until inputted data set can be preferably fitted, complete optimal uniform velocity's prediction model at this time Building;
Step e: as driver in use, input driver's fingerprint, face, ID card information, system obtain driver and drive letter Automatically using the information as mode input to the trained neural network model of previous step after breath, best permissible velocity can be obtained Range.
Further, in S2 the behavior of driver detection method, include the following steps:
Step a: driver is acquired from face to chest by the CCD industry camera installed immediately ahead of driver in real time first Image, the image are respectively used to driver attention's detection and the detection of hazardous act after treatment;
Step b: it is detected respectively with the presence or absence of fatigue driving and dispersion attention situation, system for driver's eyes position Voice driver is reminded according to its testing result and calculates attention danger coefficient;
Step c: smoking, making and receiving calls behavior when mainly having driving for the detection of driver's hazardous act, and system is tied according to detection Fruit prompt driver calculates behavior danger coefficient simultaneously, for carrying out active accommodation to current vehicle speed;
Step d: it is opposite that driver in integrated decision-making generation group is carried out to driver attention's danger coefficient and behavior danger coefficient The danger coefficient of safe driving, this term coefficient are included in dangerous driving behavior score, do not allow driver's high speed if score is excessively high Travel or forbid upper high speed.
Further, in S2 travel condition of vehicle and environment detection method, comprising the following steps:
Step a: normally travel, system obtain current car transmissions, row from automobile itself first to automobile on a highway System, steering system, brake system data are sailed, calculates current steady coefficient in combination with the runing time of automobile;
Step b: information stores processing module and obtains current road segment weather condition from meteorological department by long-distance radio communication module And wind speed size, current road segment road type is obtained from traffic department, while it is indirect to detect air humidity in driving conditions To the wet and slippery degree on road surface;
Step c: constantly detecting present air mistiness degree and visibility in vehicle operation, judges whether it is interim haze, if There is interim haze, then sends prompting message to surrounding vehicles;
Step d: environment is calculated according to weather condition, wind speed, road type, road surface slippery situation degree, mistiness degree, visibility and is stablized Coefficient;
Step e: being integrated vehicle steadily coefficient and the environment coefficient of stability to obtain the current running coefficient of stability, is used In adaptively being adjusted to current vehicle speed.
Further, in S2 safe speed range method of real-time adjustment, comprising the following steps:
Step A: the safe-guard system for highway speed-raising just comes into operation the stage, first respectively according to driver Danger coefficient and train stability coefficient formulate corresponding velocity interval, then utilize the formulation of non-initial safe speed range in S1 Method determines final velocity interval, is adjusted on the basis of initial permissible velocity range;
Step B: after the big face of system is come into operation, by acquiring the driving historical record in each vehicle system, according to collected Speed corresponding to danger coefficient and the coefficient of stability makes data set;
Step C: the formulating method training input using initial safe speed in S1 is danger coefficient and the coefficient of stability, is exported as speed The neural network model of degree is input to trained nerve when system-computed goes out danger coefficient and the coefficient of stability when in use Current velocity interval adjusted can be obtained in network model, and simultaneity factor continues to optimize the model according to service condition, makes it It is more accurate.
The present invention is higher for existing expressway traffic accident incidence, so that because personnel caused by expressway traffic accident hurt It dies and phenomenon that property loss is countless, proposes a kind of safe-guard system and operation method for highway speed-raising, It can not only guarantee that driver standardizes driving on a highway, while early warning can be carried out to accident according to environment, keep away Exempt from the generation of highway chain of rings accident or the generation of severe and great casualty, to ensure driving safety on a highway;More Very, the above accident prevention and driving safety security problem are solved, highway Maximum speed limit can be promoted to 140 even more by 120 It is high.
In various high speed accidents, as speed it is excessively high caused by accident, the death rate is up to 74%, is more than in speed The death rate is more up to 95% in the accident of 140Km, substantially close to 100% in the accident for being more than 160KM;Therefore public generally to recognize It is high once the life security of driver and passenger can be seriously threatened by accident occur for speed, so generally believing even if setting If speed is down to safe speed as far as possible and encounters burst hereinafter, can increase by the limitation of 120Km/h do not worry thing In reaction time when event, also can reduce kinetic energy caused by high speed can not quickly absorb in a short time, make to vehicle frame itself At harm, in turn result in the harm to driving staff;However as the development of science and technology, the stability of vehicle and vehicle structure Safety is greatly improved, but due to highway layout factor, Driver's Factors, vehicle factor, environmental factor common cause So that the max. speed of vehicle is limited to 120Km/h, but also invisible obstruction is brought to highway speed-raising, so that people It will not keep in mind and how to improve the speed upper limit again.
It is in recent years even more to increase in addition, limiting overspeed of vehicle in such a way that various speed limits are taken pictures on highway The mode that section is tested the speed avoids the vehicle from slowing down taking pictures, and the phenomenon that other sections are driven over the speed limit, remain single External environment how vehicle is monitored, but these monitoring modes also limit vehicle merely by external information processing Speed, and then come the safety that guarantees vehicle, do not consider contacting between driver, vehicle and freeway facility, It embodies in the prior art, is the investment increased to the monitoring mode on highway nothing but, for example add publicity comment more, to warn Cautious driver, more setting monitoring are taken pictures, and to frighten driver, or in Expressway Service placement accident vehicle, are come live Show, etc., but it is one-sided limitation of the highway internal network to vehicle driver, i.e., has in highway discovery After car accident, subsequent vehicle can not be also notified in a short time, causes a large amount of a chain of collision phenomenons, and basic reason is Information not intercommunication between vehicle and vehicle, between vehicle and freeway facility, between vehicle and driver.
In addition, study highway up train it is safe when, general research direction be it is how safer, mainly use It mode or increases to the investment of highw ay m onitoring point, such as multiple speed measuring points is set, the speed measuring point of setting is taken the photograph using high definition It as head is taken pictures, and allows people oneself processing mode violating the regulations of taking pictures, increases the punishment dynamics of hypervelocity, come so that driver dare not carry out It is violating the regulations, while increasing to be laid with spacing terrestrial reference and carry out the moment on a highway and vehicle is reminded to maintain safe distance, with this come increase vehicle it Between interval, and then traffic safety is improved to remind driver to maintain safe distance with this, these modes are one-side, although It is capable of the driving habit of enforceable raising driver, but its strategy used is still multiple by being arranged on a highway The mode of monitoring point guarantees the safety of vehicle, and the multiple monitoring points used read after data, need by manually again The mode screened avoids data from the phenomenon of mistake occur, but also existing acquisition number to ensure the accuracy of data processing According to when, it is desirable to data acquisition it is more fewer better.
In addition, since the existing mode majority for ensureing safety does not consider the relationship between vehicle interior or vehicle, And information mutual communication is not implemented, it is main consideration is that vehicle brake, such as autobrake system avoids knocking into the back with this; Setting vehicle puts offset track system, to avoid absent-minded caused running out the way;Or setting ESP, air bag of multiple protective etc. Mode guarantees the safety of vehicle, safety accident occurs with this vehicle is reduced or avoided, risk is reduced to minimum;However nothing By the security system of the monitoring system or vehicle itself that are highway itself setting, but all have ignored a crucial core Heart problem, that is, driver information or experience are influenced caused by driving safety, will if be monitored to driver After the speed upper limit improves, driver's is a bit slack, is likely to cause serious traffic accident, however to the letter of driver It is big that breath acquisition necessarily will cause data collection capacity, and data analysis is more, in face of the data of magnanimity, certainly will be difficult to form accurately speed limit Range is to lose reference significance, but also masses are difficult to the reason of trusting such system, and the present invention has broken existing skill Habitual thinking in art is acquired analysis to driver information or experience, and is rapidly completed after getting on the bus, and calculates in advance The speed limit range of driver, then detects vehicle itself, while dynamically to driver, surrounding ring during traveling Border etc. carries out data and is acquired, and passes through the efficient operation of itself, dynamically limits speed, and feed data back to Traffic control department, well by driver, vehicle together with other Vehicle Fusions, and emphasis carries out vehicle itself and driver Dynamic monitoring, so that satisfactory vehicle and driver can improve speed to 140Km/h, and provides more for it For the guarantee of safety.
In addition, the present invention enables to vehicle when driving into highway by the way of automatically switching, system can be certainly Dynamic to switch to highway operation module, driver identity identification module identifies driver identity information, and system is combined to save Current vehicle performance parameter information provide this safe speed range travelled on a highway.
In addition, the identity information includes driver year by fingerprint, identity card or recognition of face driver identity information Age, driving age, driving license type, record case, dangerous driving record case information violating the regulations, pass through remote wireless communication module and traffic Division data platform is connected, and can obtain driver identity information in time.In addition to this, which, which itself stores, works as front truck Itself performance parameter, including dynamic property, braking, control stability, ride performance, by combining driver information most The travel speed range that regulation driver allows eventually.
In addition, there are two types of the schemes of restricted speed, in order to more accurate setting optimized range of speeds, due to being When system is just put into, there is no big datas to be counted, therefore to calculate initial velocity range at this time, firstly, in off-line mode It is lower to be divided respectively according to different age group, different driving age sections, driving license type, number violating the regulations and deduction of points situation, dangerous driving score Suitable traveling velocity interval, then according under different condition velocity interval formulate allow travel speed range table, finally As driver in use, system can match most suitable travel speed range according to driver information and combine automobile self performance Parameter completes the final regulation for allowing speed, and simultaneity factor records the driver and travels record and be uploaded to traffic department data library In.When access times are continuously increased, system can be adaptively adjusted it according to the running history of driver record and be suitble to drive Velocity interval;However after long-term use, it needs to upgrade the functions of modules, change system provides most suitable speed Mode, it is huger due to travelling record data at this time, in combination with big data and artificial intelligence technology to driver's highway Permissible velocity is judged.Firstly, obtaining driver's age, driving age, driving license type, record case violating the regulations, danger from traffic department Dangerous driving record situation makes data set according to the travel speed range under different condition, then constructs deep learning model pair The data set is trained study, and new driver information finally inputs trained model you can get it optimal traveling is fast Spend range.
In addition, can judge the driver respectively when system obtains driver information and automobile self performance parameter and be somebody's turn to do Whether vehicle meets highway driving requirement, if not meeting, the driver or the vehicle do not allow to drive into highway; Work as vehicle simultaneously during highway driving, passes through driving behavior detection module, travel condition of vehicle detection module, row Vehicle context detection module allows to pacify according in three kinds of driver, automobile, environment factor adjustment vehicle traveling processes in real time Full travel speed;Realize that dynamic adjusts.
In addition, travel condition of vehicle detection module can utilize various sensors to vehicle drive system, driving system, turn It is acquired to data such as system, braking systems and is transmitted to message processing module, while automobilism is calculated according to every terms of information The coefficient of stability, can be by visualization display automobile self-operating status information in human-computer interaction module;Firstly, environment detects mould Agllutination closes the weather data that remote wireless communication module receives the publication of current weather department;It is transmitted secondly, receiving traffic department Road congestion information and the section road type;Finally calculated according to weather conditions, wind speed, road type, road surface slippery situation degree It drives a vehicle out environment coefficient, in addition, when detecting in a certain range of front there are when interim haze, for temporarily rolling into a ball the production of mist CCD industry camera, humidity sensor and the temperature that raw when and where can not all be predicted in advance, therefore be installed by itself Sensor is spent, haze is detected as by the detection of visibility, humidity and temperature automatically;After being confirmed as haze, mention in time The driver that wakes up reduces travel speed, while the haze position, concentration information are sent to other vehicles and friendship in communication range Logical department;In addition, when a fault occurs, collision warning module incudes impact severity, it will in conjunction with the information of GPS-BDS locating module Accident information is sent to traffic department and records this place where the accident occurred point.
In addition, present invention is mainly used in how in highway speed-raising, however due to can be realized vehicle and traffic department Interconnection, when urban road when driving, then can be divided into two parts as urban road wisdom driving mode, A part is mainly responsible for whether safe driving detects to driver, such as fatigue driving, driving making and receiving calls behavior carry out Supervision then stores processing module record behavior information by information and is uploaded to if driver has the above dangerous driving behavior Corresponding dangerous driving point is deducted to the behavior by traffic department by relevant traffic department, which will be in starting highway mould It is used, highway can not be driven into if score is too low or can only be gone on a highway when formula with lower velocity interval It sails;Second part major function is road congestion information, Weather information, the geography that current city is pushed for driver's real-time intelligent Information on services such as position etc..
Detailed description of the invention
Fig. 1 is overall system structure schematic diagram of the present invention;
Fig. 2 is operating status schematic diagram of the present invention;
Fig. 3 is the formulation flow chart of non-initial safe speed range in S1 of the present invention;
Fig. 4 is the formulation flow chart of initial safe speed in S1 of the present invention;
Fig. 5 is the overhaul flow chart of the behavior of driver in S2 of the present invention;
Fig. 6 is S2 driving states of the present invention monitoring and environment overhaul flow chart;
Fig. 7 is the method for real-time adjustment flow chart of safe speed range in S2 of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention Attached drawing 1-7, the technical solution of the embodiment of the present invention is clearly and completely described.Obviously, described embodiment is this A part of the embodiment of invention, instead of all the embodiments.Based on described the embodiment of the present invention, the common skill in this field Art personnel every other embodiment obtained, shall fall within the protection scope of the present invention.
Fig. 1 is a kind of highway speed-raising safe-guard system schematic diagram, including information stores processing module, is in Central processor (CPU), static random access memory (SRAM), bus Observation Blocks (BOB) are constituted, and can also directly be set certainly It is set to the mode of tablet computer or smart phone assembly;
Driver personal information and information of vehicles and the driver with information storage processing module signal interconnection for identification Identification module, being includes Miniature high-definition camera, RFID sensing device, and face recognition software is embedded in by control panel Miniature high-definition camera acquisition information driver identity is confirmed, pass through RFID sensing device read driver identity Demonstrate,prove information;
Be connected the GPS-BDS locating module for precisely showing vehicle real-time point with the driver identity identification module, Preferably positioned using SKYLAB SKG09D;
The driving behavior detection module and vehicle that the interconnection of processing module signal is stored inside the vehicle and with the information are set Condition monitoring module is arranged in outside vehicle and detects with the environment of information storage processing module signal interconnection The long-distance radio communication on vehicle and with information storage processing module signal interconnection is arranged in module and collision warning module Module is arranged on vehicle with information storage processing module signal interconnection and is used for the voice broadcast module of voice broadcast, And with information storage processing module signal interconnection and for the human-computer interaction module of display reminding information.
The information storage processing module is for storing the external information received and automotive interior operation data, while energy The data that modules generate in history driving process are enough stored, by message processing module to the history driving information in the section It is analyzed;
Operational analysis is carried out to received external information and automotive interior operation data, the operational analysis is divided into three parts, The data that driving behavior detection module obtains are handled, at the information that travel condition of vehicle detection module obtains Reason, environment detection module obtain environmental information and are handled, and comprehensive three's data provide safety guarantee to driving conditions;
The driver identity identification module driver personal information and vehicle self information for identification are logical by long distance wireless Believe that module is realized and traffic department data intercommunication;Including Miniature high-definition camera, RFID sensing device, face recognition software passes through The information of the Miniature high-definition camera acquisition of control panel insertion confirms driver identity, is read by RFID sensing device Driver identity is taken to demonstrate,prove information;
The GPS-BDS locating module shows vehicle real time position place for accurate, what the GPS-BDS locating module obtained Information automatically switches to expressway safety mode for system when driving into highway, and accident can be convenient for rescue portion when occurring Door finds place where the accident occurred point according to location information.
The driving behavior detection module is used to detect driving behavior, including fatigue detecting and dangerous driving Behavioral value;Camera uses LI-USB30-AR023ZWDR model, is connected by USB with central control computer, soft using detecting Part is automatically performed detection process;Due to the inspection software that uses to be repeated no more in the conventional software present invention;
The travel condition of vehicle monitoring modular is used for transmission system, driving system, the steering system in vehicle operation It is detected with braking system, each system parameter of acquisition is used to assess the performance of vehicle operation, and then calculate driving Stability;Four kinds of vehicle acceleration, speed, steering wheel angle, throttle opening and closing degree data are acquired by CAN bus;
The environment detection module is for detecting the condition of road surface in driving conditions, weather conditions;The embodiment In preferably environment temperature, humidity are acquired using AHT10 integrated form Temperature Humidity Sensor;
The collision warning module incudes car crass degree according to the multiple sensors that vehicle body is installed, and sends a warning;With The crash sensor that safe automobile air bag is connected is integrated, and show that impact severity is light by the force sensor data size Degree, moderate, severe;
The remote wireless communication module is used to receive the location information and accident information of other vehicles transmission;It receives by weather bureau The weather condition data of transmission, the road section jam situation data and condition of road surface data of traffic department's transmission, while in time Own location information and warning information are transmitted, and processing module is stored by information and carries out data processing, is preferably adopted Carried out data transmission with zigbee wireless communication module;
The voice broadcast module is used to carry out voice broadcast to the result of message processing module, reminds that driver is with high safety to drive Sail measure;It is preferred that voice is broadcasted using using WT588D module;
For individually calling a certain functions of modules the parameter of each module is arranged, and mention to various in the human-computer interaction interface module Show that information is visualized;According to the type of automobile one is being expanded on original central control system, one kind can individually be set Set operation interface;
The embodiment also discloses a kind of operation method of safe-guard system for highway speed-raising:
S1: the identity information and information of vehicles of driver are obtained by driver identity identification module, and is stored by information Processing module carries out data analysis, so that this safe speed range for running on a highway of vehicle is obtained, if being not suitable for Driver or vehicle in highway driving, then forbid it to drive into Gao Suo highway;
S2: being measured in real time the behavior of driver, travel condition of vehicle and environment during vehicle driving, according to The detection information of acquisition adjusts the safe speed range in S1 in time, and by information storage processing module acquisition as a result, passing through Voice broadcast module is prompted with human-computer interaction module, to remind driver to carry out corresponding accident prevention;
S3: when accident not can avoid, then feeding back to traffic department for data information in time, and records the ground of this accident generation Point and cause of accident, and shared accident information to the highway subsequent vehicle by way of telecommunication, as warning.
Fig. 2 is a kind of highway speed-raising safe-guard system operational mode schematic diagram, which is divided into two parts, That is expressway safety mode and urban road wisdom mode.Such as figure position 1, automobile will drive into highway, will be at this time System conversion to expressway safety mode, system provides the best safety velocity interval of this time traveling according to driver information.Position 2 display vehicles are set in the process of running, by detect adjustment in real time most to driving behavior, vehicle-state, environment Good travel speed range, automobile interconnect in communication range with other vehicles, keep the mutual transmitting of vehicle workshop information, while vapour Vehicle can obtain traffic department's information and weather station information by the mobile communication base station of each department.Position 3 indicates to be in when vehicle In interim haze, system detects haze concentration in time and driver is reminded to adjust speed, and haze information is transmitted to communication when logical Other vehicles in range.Position 4 is that when a fault occurs, one side system reminds driver self-help according to collision grade, separately On the one hand, accident information is sent to traffic rescue department and other vehicles by system, and simultaneity factor works as accident information record In systematic failures map, remind subsequent vehicle that accident this time occurred.
Position 5 indicate vehicle travelled on urban road, at this time open urban road wisdom mode, by communication base station to System pushes the relevant information in the city, such as sight spot, cuisines, congestion in road situation etc., and in addition to this, system retains to driving Member's behavior carries out detection function, guarantees that driver still is able to safe driving on urban road.Position 6 indicates that vehicle is being run over It exercises supervision in journey to driver's civilization driving behavior, such as gives precedence to pedestrian, do not overtake other vehicles disorderly, do not blow a whistle disorderly, supervision result is similar Dangerous driving score is equally included in highway driving criterion, promote driver's civilization drive, safe driving, this partially due to Prior art factor can not preferably be implemented, and can add during system upgrade.
Fig. 3 is the flow chart of non-initial safe speed range formulating method in S1, and steps are as follows
Step a: driver inputs itself fingerprint, scanning face and identity card, and verifies driver by storage processing module True identity, while obtaining according to identity information the driver age from the cloud library of traffic department, the driving age, driving license type, disobeying Zhang Jilu score, dangerous driving score;
Step b: three groups of permissible velocity ranges are generated according to driver's driving age, age, driving license type respectively, and to three groups of speed models It encloses progress intersection operation and obtains comprehensive permissible velocity range;Preferably use the driving age between 3 years to 42 years for max. speed 140,140 are set as between 20-55 years old age, reduce by 2 kilometers year by year per hour more than or less than this section, A1 driver's license limit Within 120, A2-B2 is limited within 110 speed, and C card is limited within 140;
Step c: score is recorded according to the driver violation on the basis of previous step and adjusts permissible velocity range;
Step d: it keeps the score range of further regulating the speed further according to driver's dangerous driving;
Step e: permissible velocity model is determined according to automobile self power, braking, control stability, ride performance parameter It encloses, takes intersection in conjunction with step d, obtain as a result, being final permissible velocity range, while this record is uploaded to system cloud library.
Fig. 4 is the formulating method product process figure of initial safe speed in S1, and its step are as follows:
Step a: obtaining the corresponding traveling record of different automobile types from the system that each vehicle is installed, and correspondence obtains different automobile parameters Provide corresponding travel speed;
Step b: obtaining driver drives vehicle historical data from traffic system, including all ages and classes, the driving age, driving license type, violating the regulations It keeps the score, travel speed corresponding to dangerous driving score;
Step c: the obtained driver drives vehicle data of steps 1 and 2 are handled with automobile data, make data set;
Step d: building neural network simultaneously designs corresponding loss function, and data set is input to neural network model and is instructed Practice, debugs the model until inputted data set can be preferably fitted, complete optimal uniform velocity's prediction model at this time Building;
Step e: as driver in use, input driver's fingerprint, face, ID card information, system obtain driver and drive letter Automatically using the information as mode input to the trained neural network model of previous step after breath, best permissible velocity can be obtained Range.
Fig. 5 is the overhaul flow chart of driving behavior detection method in S2, and its step are as follows:
Step a: driver is acquired from face to chest by the CCD industry camera installed immediately ahead of driver in real time first Image, the image are respectively used to driver attention's detection and the detection of hazardous act after treatment;
Step b: it is detected respectively with the presence or absence of fatigue driving and dispersion attention situation for driver's eyes position, is passed through Machine vision technique is realized to a number is narrowed, is bowed, is counted in front of ametropia, system is according to its testing result reminding language Sound driver simultaneously calculates attention danger coefficient;And by danger coefficient be divided into it is low be 0.3, in be 0.6, a height of 1 three grades, example Such as occur narrowing in eye 3 seconds, bow in one time 2 seconds, in formal front 2 seconds, directly reporting as low danger coefficient;When in 5 seconds go out It now narrows eye 2 times or more, bows in one time 2-3 seconds, do not see front 2-3 seconds, be directly labeled as middle danger coefficient, at continuous two Occur narrowing eye in five seconds, bow more than three seconds, does not see that front more than three seconds, is directly classified as highest danger coefficient;
Within wherein speed is limited to 40KM per hour by high-risk coefficient, speed is limited to 40- in middle danger coefficient Speed is limited to 70-140KM per hour in low danger coefficient by 70KM, when vehicle appears in urban road then in high speed On the basis of every grade of reduction 20Km per hour.
Step c: it smokes when mainly having driving for the detection of driver's hazardous act, making and receiving calls behavior, system is according to inspection It surveys result prompt driver and calculates behavior danger coefficient simultaneously, for carrying out active accommodation to current vehicle speed;
Step d: it is opposite that driver in integrated decision-making generation group is carried out to driver attention's danger coefficient and behavior danger coefficient The danger coefficient of safe driving, this term coefficient are included in dangerous driving behavior score, do not allow driver's high speed if score is excessively high Travel or forbid upper high speed.
Fig. 6 is the detection method flow chart of travel condition of vehicle and environment in S2, and its step are as follows:
Step a: normally travel, system obtain current car transmissions, row from automobile itself first to automobile on a highway System, steering system, brake system data are sailed, calculates current steady coefficient in combination with the runing time of automobile;
Step b: information stores processing module and obtains current road segment weather condition from meteorological department by long-distance radio communication module And wind speed size, current road segment road type is obtained from traffic department, while it is indirect to detect air humidity in driving conditions To the wet and slippery degree on road surface;
Step c: constantly detecting present air mistiness degree and visibility in vehicle operation, judges whether it is interim haze, if There is interim haze, then sends prompting message to surrounding vehicles;
Step d: the environment coefficient of stability is calculated according to weather condition, wind speed, road type, visibility;
The coefficient of stability be divided into it is low be 0.3, in be 0.7 and a height of 1,
It is sunny, cloudy, cloudy for height, be that heavy rain, heavy rain, torrential rain, hail, snowfall are low within moderate rain;
Belong to height below moderate breeze, during moderate breeze to strong breeze is, six grades the above are low;
Highway, municipal highway, provincial highway, national highway belong to height, during country highway or rural highway belong to, sky way, dirt road Belong to low;
Visibility is height in 4Km or more, is between 0.6-4Km, and in 0.6Km, the following are low;
When calculating the coefficient of stability, multiple parameters are all satisfied Shi Caineng and take high stable coefficient, take most as long as having one to be unsatisfactory for The low coefficient of stability.
In coefficient of stability highest, then speed is limited to 140KM, the then section max. speed thus when non-high-speed;
When to be middle, be then limited to 0.7*140=98KM per hour, be then when to be low 0.3*140=42 kilometer per hour;
Coefficient calculating then is carried out according to Maximum speed limit when if it is non-high-speed section;
Step e: being integrated vehicle steadily coefficient and the environment coefficient of stability to obtain the current running coefficient of stability, is used In adaptively being adjusted to current vehicle speed.
Fig. 7 is the method for real-time adjustment flow chart of safe speed range in S2, and its step are as follows:
Step A: the safe-guard system for highway speed-raising just comes into operation the stage, first respectively according to driver Danger coefficient and train stability coefficient formulate corresponding velocity interval, then utilize the formulation of non-initial safe speed range in S1 Method determines final velocity interval, is adjusted on the basis of initial permissible velocity range;
Step B: after the big face of system is come into operation, by acquiring the driving historical record in each vehicle system, according to collected Speed corresponding to danger coefficient and the coefficient of stability makes data set, and in calculated result speed minimum lower than high speed, refusal is driven The person of sailing drives to drive into highway;
Step C: the formulating method training input using initial safe speed in S1 is danger coefficient and the coefficient of stability, is exported as speed The neural network model of degree is input to trained nerve when system-computed goes out danger coefficient and the coefficient of stability when in use Current velocity interval adjusted can be obtained in network model, and simultaneity factor continues to optimize the model according to service condition, makes it It is more accurate.
Expressway safety safeguards system in the present invention can be limited according to driver's self-information and vehicle self information Its speed driving range on a highway is made, while being exercised supervision to driver's driving procedure, driver is avoided to drive in violation of rules and regulations Sailing causes the accident, while the present invention can be according to automobile in the process of moving according to driver status, automobilism situation And environment variation adjusts the permitted best safety drive speed of the vehicle in real time, can also make phase when a fault occurs Measure should be alarmed to avoid heavy casualties caused by a chain of car accident, reduce injures and deaths and loss to greatest extent.Realize height Fast highway efficient operation.On the other hand highway can be promoted to be promoted to 140 kilometers per hour from current 120 kilometers of speed limit often Hour is even higher, and this system structure is simple, and cost is relatively low, easily uses and popularizes on real vehicle.With the liter of highway The promotion of grade transformation and Maximum speed limit, the system preferably can play a role and provide service, and long-range objectives are to break through high speed Highway maximum speed limitation, to reach the personalization of bicycle, differentiated traveling.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art For, without departing from the principles of the present invention, it can also make several improvements and retouch, these improvements and modifications It should be regarded as protection scope of the present invention.

Claims (8)

1. a kind of safe-guard system for highway speed-raising, it is characterised in that: store processing module including information, be used for It identifies driver personal information and information of vehicles and is identified with the driver identity of information storage processing module signal interconnection Module, be connected the GPS-BDS locating module for precisely showing vehicle real-time point with the driver identity identification module, It is arranged inside the vehicle and is run with the driving behavior detection module of information storage processing module signal interconnection and vehicle Outside vehicle and the environment detection module with information storage processing module signal interconnection is arranged in state detection module With collision warning module, the long-distance radio communication mould on vehicle and with information storage processing module signal interconnection is set Block is arranged on vehicle with information storage processing module signal interconnection and is used for the voice broadcast module of voice broadcast, with And with information storage processing module signal interconnection and for the human-computer interaction module of display reminding information.
2. the safe-guard system for highway speed-raising as described in claim 1, it is characterised in that:
The information storage processing module can be deposited for storing the external information received and automotive interior operation data The data that modules generate in history driving process are stored up, letter is travelled by history of the message processing module to the section run over Breath is analyzed;
Operational analysis is carried out to received external information and automotive interior operation data, the operational analysis is divided into three parts, The data that driving behavior detection module obtains are handled, at the information that travel condition of vehicle detection module obtains Reason, environment detection module obtain environmental information and are handled, and comprehensive three's data provide safety guarantee to driving conditions;
The driver identity identification module driver personal information and vehicle self information for identification are logical by long distance wireless Believe that module is realized and traffic department data intercommunication;
The GPS-BDS locating module shows vehicle real time position place for accurate, what the GPS-BDS locating module obtained Information automatically switches to expressway safety mode for system when driving into highway, and accident can be convenient for rescue portion when occurring Door finds place where the accident occurred point according to location information;The driving behavior detection module is for examining driving behavior It surveys, including fatigue detecting and dangerous driving behavior detection;
The travel condition of vehicle monitoring modular is used for transmission system, driving system, the steering system in vehicle operation It is detected with braking system, each system parameter of acquisition is used to assess the performance of vehicle operation, and then calculate driving Stability;
The environment detection module is for detecting the condition of road surface in driving conditions, weather conditions;
The collision warning module incudes car crass degree according to the crash sensor that vehicle body is installed, and sends a warning;
The remote wireless communication module is used to receive the location information and accident information of other vehicles transmission;It receives by weather bureau The weather condition data of transmission, the road section jam situation data and condition of road surface data of traffic department's transmission, while in time Own location information and warning information are transmitted, and processing module is stored by information and carries out data processing;
The voice broadcast module is used to carry out voice broadcast to the result of message processing module, reminds that driver is with high safety to drive Sail measure;
For individually calling a certain functions of modules the parameter of each module is arranged, and mention to various in the human-computer interaction interface module Show that information is visualized.
3. a kind of operation method of the safe-guard system for highway speed-raising:
S1: the identity information and information of vehicles of driver are obtained by driver identity identification module, and is stored by information Processing module carries out data analysis, so that this safe speed range for running on a highway of vehicle is obtained, if being not suitable for Driver or vehicle in highway driving, then forbid it to drive into Gao Suo highway;
S2: being measured in real time the behavior of driver, travel condition of vehicle and environment during vehicle driving, according to The detection information of acquisition adjusts the safe speed range in S1 in time, and by information storage processing module acquisition as a result, passing through Voice broadcast module is prompted with human-computer interaction module, to remind driver to carry out corresponding accident prevention;
S3: when accident not can avoid, then feeding back to traffic department for data information in time, and records the ground of this accident generation Point and cause of accident, and shared accident information to the highway subsequent vehicle by way of telecommunication, as warning.
4. the operation method for the safe-guard system of highway speed-raising as claimed in claim 3, it is characterised in that:
The formulating method of non-initial safe speed range in S1, steps are as follows:
Step a: driver inputs itself fingerprint, scanning face and identity card, and verifies driver by storage processing module True identity, while obtaining according to identity information the driver age from the cloud library of traffic department, the driving age, driving license type, disobeying Zhang Jilu score, dangerous driving score;
Step b: three groups of permissible velocity ranges are generated according to driver's driving age, age, driving license type respectively, and to three groups of speed models It encloses progress intersection operation and obtains comprehensive permissible velocity range;
Step c: score is recorded according to the driver violation on the basis of previous step and adjusts permissible velocity range;
Step d: it keeps the score range of further regulating the speed further according to driver's dangerous driving;
Step e: permissible velocity model is determined according to automobile self power, braking, control stability, ride performance parameter It encloses, takes intersection in conjunction with step d, obtain as a result, being final permissible velocity range, while this record is uploaded to system cloud library.
5. the operation method for the safe-guard system of highway speed-raising as claimed in claim 4, it is characterised in that:
The formulating method of initial safe speed in S1, steps are as follows:
Step a: obtaining the corresponding traveling record of different automobile types from the system that each vehicle is installed, and correspondence obtains different automobile parameters Provide corresponding travel speed;
Step b: obtaining driver drives vehicle historical data from traffic system, including all ages and classes, the driving age, driving license type, violating the regulations It keeps the score, travel speed corresponding to dangerous driving score;
Step c: the obtained driver drives vehicle data of steps 1 and 2 are handled with automobile data, make data set;
Step d: building neural network simultaneously designs corresponding loss function, and data set is input to neural network model and is instructed Practice, debugs the model until inputted data set can be preferably fitted, complete optimal uniform velocity's prediction model at this time Building;
Step e: as driver in use, input driver's fingerprint, face, ID card information, system obtain driver and drive letter Automatically using the information as mode input to the trained neural network model of previous step after breath, best permissible velocity can be obtained Range.
6. the operation method for the safe-guard system of highway speed-raising as claimed in claim 5, it is characterised in that:
The detection method of the behavior of driver, includes the following steps: in S2
Step a: driver is acquired from face to chest by the CCD industry camera installed immediately ahead of driver in real time first Image, the image are respectively used to driver attention's detection and the detection of hazardous act after treatment;
Step b: it is detected respectively with the presence or absence of fatigue driving and dispersion attention situation, system for driver's eyes position Voice driver is reminded according to its testing result and calculates attention danger coefficient;
Step c: smoking, making and receiving calls behavior when mainly having driving for the detection of driver's hazardous act, and system is tied according to detection Fruit prompt driver calculates behavior danger coefficient simultaneously, for carrying out active accommodation to current vehicle speed;
Step d: it is opposite that driver in integrated decision-making generation group is carried out to driver attention's danger coefficient and behavior danger coefficient The danger coefficient of safe driving, this term coefficient are included in dangerous driving behavior score, do not allow driver's high speed if score is excessively high Travel or forbid upper high speed.
7. the operation method for the safe-guard system of highway speed-raising as claimed in claim 6, it is characterised in that:
The detection method of travel condition of vehicle and environment in S2, comprising the following steps:
Step a: normally travel, system obtain current car transmissions, row from automobile itself first to automobile on a highway System, steering system, brake system data are sailed, calculates current steady coefficient in combination with the runing time of automobile;
Step b: information stores processing module and obtains current road segment weather condition from meteorological department by long-distance radio communication module And wind speed size, current road segment road type is obtained from traffic department, while it is indirect to detect air humidity in driving conditions To the wet and slippery degree on road surface;
Step c: constantly detecting present air mistiness degree and visibility in vehicle operation, judges whether it is interim haze, if There is interim haze, then sends prompting message to surrounding vehicles;
Step d: environment is calculated according to weather condition, wind speed, road type, road surface slippery situation degree, mistiness degree, visibility and is stablized Coefficient;
Step e: being integrated vehicle steadily coefficient and the environment coefficient of stability to obtain the current running coefficient of stability, is used In adaptively being adjusted to current vehicle speed.
8. the operation method for the safe-guard system of highway speed-raising as claimed in claim 7, it is characterised in that:
The method of real-time adjustment of safe speed range in S2, comprising the following steps:
Step A: the safe-guard system for highway speed-raising just comes into operation the stage, first respectively according to driver Danger coefficient and train stability coefficient formulate corresponding velocity interval, then utilize the formulation of non-initial safe speed range in S1 Method determines final velocity interval, is adjusted on the basis of initial permissible velocity range;
Step B: after the big face of system is come into operation, by acquiring the driving historical record in each vehicle system, according to collected Speed corresponding to danger coefficient and the coefficient of stability makes data set;
Step C: the formulating method training input using initial safe speed in S1 is danger coefficient and the coefficient of stability, is exported as speed The neural network model of degree is input to trained nerve when system-computed goes out danger coefficient and the coefficient of stability when in use Current velocity interval adjusted can be obtained in network model, and simultaneity factor continues to optimize the model according to service condition, makes it It is more accurate.
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