104results about How to "Reduce car accidents" patented technology

An embodiment of the invention discloses an automobile driving behavior detection method and an apparatus thereof, and an automobile. The method comprises the following steps of according to an association relation among a plurality of operation characteristic parameters of the automobile, establishing an automobile operation model; collecting values of the plurality of operation characteristic parameters to train the automobile operation model so as to acquire an automobile operation prediction model, collecting driving behavior data and acquiring a predicted value of a first operation characteristic parameter corresponding to the driving behavior data; and according to the driving behavior data and the predicted value of the first operation characteristic parameter, carrying out driving behavior detection. By using the detection method and the apparatus thereof, and the automobile, based on a neural network, the automobile operation model is established; through machine learning, the automobile operation model is trained so as to acquire the automobile operation prediction model; whether a predicted value acquired through the automobile operation prediction model matches with the driving behavior data is determined; whether an abnormal driving condition is generated is determined; driving safety is increased, automobile accident generation is reduced and a life and property safety of a driver are effectively protected.

The invention discloses a processing method and system for handling a dangerous driving behavior of automobile. The method comprises that driving state data and driving behavior data recorded in an automobile data memory are obtained; whether the automobile is in a dangerous driving state is determined according to the driving state data and the driving behavior data, and if YES, a driving defense instruction is generated and sent to an electronic control unit (ECU); and the ECU controls operation of the automobile based on the driving defense instruction so that the automobile is in a normal driving state. According to the processing method and system, the driving state data and the driving behavior data of the automobile are monitored in the driving process, a driving behavior determining device generates the driving defense instruction according to the dangerous driving state in the automobile driving process and sends the instruction to the ECU, so that the automobile is in the normal driving state; and thus, the using safety of automobile is improved greatly, accidents of automobile are decreased, and life and property safety of drivers are protected effectively.

An embodiment of the invention discloses a vehicle internal network safety detection method and device, and a vehicle. The method comprises the steps of building a vehicle running model according to an incidence relation between a plurality of running characteristic parameters of the vehicle; training the vehicle running model to obtain a vehicle running prediction model and obtain a running parameter value carried by a control instruction which is transmitted on a vehicle internal network bus; obtaining a predicted value of a first running characteristic parameter based on the vehicle running prediction model, and detecting the running parameter value and the predicted value of the first running characteristic parameter according to an intrusion detection rule so as to judge whether an attack occurs or not. By the safety detection methodand device, and the vehicle disclosed by the embodiment of the invention, the vehicle running prediction model is built based on neural network and machine learning, and whether the predicted value of the running characteristic parameter matches the running parameter value carried by the control instructionis judged, so that whether the attack occurs or not is determined; the safety to use the vehicle is improved; vehicle accidents are reduced, and life and property safety of drivers is effectively protected.

The invention discloses a fatigue driving electroencephalogram monitoring method based on the degree of meditation and the degree of concentration. The method includes the steps of 1, brain wave signal acquisition, wherein a brain electrical signal acquisition device is adopted to acquire and preprocess brain wave signals of a driver and synchronously transmit the brainwave signals to a brain electrical signal monitoring device; 2, brain wave signal analysis and processing, wherein analysis and processing are conducted on the brain wave signals acquired and preprocessed by the brain electrical signal acquisition device each second according to the sequence of sampling time, and whether the driver is in the fatigue state or not is judged; the brain electrical wave signals acquired and preprocessed in any second are analyzed and processed in the following steps of synchronous brain electrical wave storage, meditation degree and concentration degree extraction, fatigue degree calculation, threshold value comparison, driver fatigue degree calculation in continuous K seconds and fatigue driving judgment. The fatigue driving electroencephalogram monitoring method is simple in steps, reasonable in design, convenient to implement, good in use effect and capable of accurately monitoring the fatigue driving state of the driver easily, conveniently and fast.

The invention discloses a driving fatigue electroencephalogram monitoring method based on electrooculogram and electroencephalogram comprehensive determination, comprising the steps: first, connecting devices and initializing parameters; connecting an electroencephalogram signal acquisition device with an electroencephalogram signal monitor terminal, and setting fatigue step parameters through a master control chip of the electroencephalogram signal monitor terminal; second, acquiring electroencephalogram signals: using the electroencephalogram signal acquisition device to acquire and pretreat electroencephalogram signals of a driver, and synchronously transmitting the pretreated electroencephalogram signals to the electroencephalogram signal monitor terminal; third, analyzing the electroencephalogram signals: calling an electrooculogram determination module and an electroencephalogram determination module in the same time by the master control chip of the electroencephalogram signal monitor terminal, and analyzing the electroencephalogram signals acquired and pretreated by the electroencephalogram signal acquisition device. The method of the invention has simple steps and reasonable design, is convenient to implement and effective to use, can accurately monitor the driving fatigue state of the driver in a simple, quick and real-time manner and has high practical value.

The invention relates to a control method of a vehicle manual control accelerator with a cruise function and a system thereof. The method comprises a manual control accelerator control method, a manual control cruise control method and a foot accelerator control method, wherein the foot accelerator control method is to maintain the original foot accelerator control system; the manual control accelerator control method is to additionally arrange a manual control accelerator control system which can be individually controlled at the same time; and the manual control cruise control method is to additionally arrange a cruise control system at the same time. The system comprises a manual control accelerator system, a manual control cruise system, a foot accelerator system, a foot control brake system, and a co-control system of the foot control brake system, the manual accelerator system and the manual control cruise system.

The invention discloses a fatigue driving electroencephalographic monitoring method. The method includes steps: firstly, device connection and parameter initialization, to be more specific, connecting an electroencephalographic signal acquisition device to an electroencephalographic signal monitoring terminal, and setting fatigue step parameters; secondly, electroencephalographic signal acquisition, to be more specific, using the electroencephalographic signal acquisition device for acquiring and preprocessing electroencephalographic signals of a driver and synchronously transmitting the electroencephalographic signals to the electroencephalographic signal monitoring terminal; thirdly, electroencephalographic signal analytical processing, to be more specific, using the electroencephalographic signal monitoring terminal for calling an electrooculogram judgment module to analytically process the electroencephalographic signals acquired and preprocessed by the electroencephalographic signal acquisition device, namely blink frequency judgment threshold determination, electroencephalographic signal analytical processing before fatigue driving judgment and electroencephalographic signal analytical processing after starting of fatigue driving judgment. The fatigue driving electroencephalographic monitoring method has the advantages of simple procedures, reasonable design, convenience in implementation, effectiveness and simplicity, convenience, quickness and timeliness in accurate monitoring of a fatigue driving state of the driver.

The invention discloses a fatigue driving electroencephalogram monitoring method based on blink frequency identification. The fatigue driving electroencephalogram monitoring method includes the steps that 1, brain wave signals are collected, wherein brain wave signals of a driver are collected, preprocessed and synchronously transmitted to a brain wave signal monitoring device; 2, the brain wave signals are analyzed and processed, the brain wave signals received in all analysis processing cycles are analyzed and processed according to the preset analysis processing frequency and the time sequence, and analysis processing includes the following steps that the brain wave signals received in the previous n analysis processing cycles are analyzed and processed, the blink judgment threshold is determined, statistics is conducted on the blink times of the driver in the precious n analysis processing cycles, the brain wave signals received in the n+1th analysis processing cycle are analyzed and processed, and the brain wave signals received in the next analysis processing cycle are analyzed and processed. The fatigue driving electroencephalogram monitoring method is simple in step, reasonable in design, convenient to implement, good in use effect and capable of accurately monitoring the fatigue driving state of the driver easily, conveniently and fast.

The invention relates to the technical field of self-learning algorithm application, in particular to an intelligent driving method based on a self-learning algorithm. According to the method, images shot by a high-definition camera are analyzed, and in addition, the differences between images are analyzed for making the judgment to realize the goal of intelligent control, control instructions are given through analyzing the images of scenes met in the driving process, and the goal of intelligent driving is reached. The intelligent driving method has the advantage that the occurrence probability of car accidents can be greatly reduced.

The invention discloses a driving fatigue electroencephalogram monitoring method based on stepped fatigue determination, comprising the steps: first, connecting devices and initializing parameters; second, acquiring electroencephalogram signals: using an electroencephalogram acquisition device to acquire and pretreat the electroencephalogram signals of a driver, and synchronously transmitting the pretreated electroencephalogram signals to an electroencephalogram signal monitor terminal; third, analyzing the electroencephalogram signals: analyzing the electroencephalogram signals acquired and pretreated within any second, and calling a stepped fatigue determination module to carry out analysis by a master control chip, wherein the process includes: synchronous storage of electroencephalogram signals, extraction of mediation degree and attention degree, determination of mediation degree corrected value and time corrected parameter, increase and decrease in fatigue step parameter, and judgment of driving fatigue. The method has simple steps and reasonable design, is convenient to implement and effective to use, can accurately monitor the driving fatigue state of a driver in a simple, quick and real-time manner and has high practical value.

The invention discloses a fatigue driving electroencephalogram monitoring method based on multi-threshold comparison. The fatigue driving electroencephalogram monitoring method comprises the following steps of step 1, acquiring an electroencephalogram signal: acquiring and pre-treating the electroencephalogram signal of a driver by using an electroencephalogram signal acquiring device, and synchronously transmitting the electroencephalogram signal to an electroencephalogram signal monitoring device; step 2, carrying out analysis treatment on the electroencephalogram signal: carrying out the analysis treatment on the electroencephalogram signal which is acquired and pre-treated by the electroencephalogram signal acquiring device within each second according to the sequence of sampling time, and judging whether the driver is at a fatigue driving state or not at the moment according to an analysis treatment result. The process of carrying out the analysis treatment on the electroencephalogram signal which is acquired and pre-treated within any second comprises the following steps: synchronously storing the electroencephalogram signal, extracting a characteristic signal, determining a characteristic quantity, carrying out the multi-threshold comparison and judging the fatigue driving. The method disclosed by the invention has simple steps, a reasonable design, is convenient to realize and has good use effects; the fatigue driving state of the driver can be conveniently, simply, rapidly and accurately monitored.

The invention discloses an intelligent management platform based on dynamic traffic graph spectrum analysis in the technical field of traffic management. The intelligent management platform based on dynamic traffic graph spectrum analysis comprises a data collection subsystem for data collection and coding, a query statistics subsystem for data query requests, a central processing system for dataanalysis and judgment, a data storage module for data storage and maintenance, a cloud server module for data information solution, a mobile intelligent terminal module for data information exchange and transmission, a video playing module for playing road traffic information and a voice prompt module. The invention can report the time required for the vehicle to the next intersection through thevoice prompt module, so as to prompt the vehicle owner to adjust the vehicle speed in time and reduce the waiting time due to the red light. The traffic light control module is electrically connectedwith the traffic signal lights, which makes it easy to adjust the display time of traffic lights in time, effectively reducing the traffic pressure of the large city.

The invention relates to a vehicle emergency super braking device. A brake shaft is arranged near the front / rear axle of a vehicle and particularly on the bearings connected with the front / rear axle, is parallel to the front / rear axle and is fixed with a brake leg, the brake leg part is fixedly connected with a brake foot and a brake steel spade separately; and the brake shaft is connected with a power mechanism. The device has good emergency braking effect for the vehicle on common roads, in particular slippery roads with ice, snow, oil, water and the like, and the braking method of the emergency braking device is different from the traditional emergency method in that an independent braking device is arranged near the front / rear axle of the vehicle. The road surface friction effects of the brake foot and brake spade are better than the friction effect of tyres, when the emergency braking is carried out, three brakes (survival brake), namely the main (original) brake, the brake foot and the ice brake, are all used for braking so that the braking effect is effectively increased, the braking path is reduced by 30%-80%; in addition, the performance is stable, the accidents caused by poor braking are decreased, the travel safety coefficient is increased, and the method is simple and practical.

The invention discloses an intersection blind area early warning control method and system based on roadside crowd-sourcing calculation. The system comprises data acquisition, information analysis, track prediction, an early warning module and road condition transmission, motor vehicle information is acquired through a crowd-sourcing calculation system, and meanwhile, pedestrians and non-motor vehicles are maintained and analyzed after being displayed and recorded; each intersection is collected, data comprehensiveness is guaranteed, traffic accidents caused by blind areas of the intersections are avoided, display tracks of pedestrians and vehicles are predicted according to the collected information, prediction results are displayed at the two ends of the zebra crossing through the warning lamps, the pedestrians are reminded when the vehicles pass by, meanwhile, the signal lamps flicker at high frequency, and traffic accidents are avoided. And the information processing module processes the information and then transmits the road conditions to the crowd-sourcing computing system in the vehicle, so that the driver can receive the road condition information of different intersections in real time, avoid traffic jam intersections in time and reduce the driving time.

The invention provides a remote monitoring early-warning system of an automotive vehicle, comprising a remote control transmitter, a remote control receiver, a central processor, a liquid crystal or digital display, a circulated alarm bell early-warning device and a voice reminder, wherein the remote control transmitter is used for receiving a signal on sudden stop of the automotive vehicle caused by a fault or accident in the quick running process and converting the signal into a transmitting signal as well as sending the transmitting signal, or is used for directly transmitting a signal on a no-passing nameplate caused by road maintenance; the remote control receiver is used for receiving the signal from the remote control transmitter; the central processor is used for processing the signal from the remote control receiver and sending out an alarm bell and a voice circulated prompt instruction; the liquid crystal or digital display is connected with an output end of the central processor and used for displaying the distance between the transmitting signal position and the receiving signal position; the circulated alarm bell early-warning device is used for receiving the alarm bell sent by the instruction from the central processor; and the voice reminder is used for receiving the voice circulated prompt sent by the instruction from the central processor. The system provided by the invention is suitable for the remote monitoring early-warning of all automotive vehicles such as large, middle and small sedans, large, middle and small passenger cars and small trucks, pure electric vehicles and hybrid electric vehicles.

The invention discloses an urban area-based pedestrian abnormal traffic behavior pattern recognition management and control system. The system comprises a traffic camera, a vehicle-mounted image acquisition module, a signal lamp data acquisition module, a data receiving module, a data processing module, a master control module, an information sending module, a voice broadcaster and a display screen; the traffic camera is used for collecting pedestrian face images, zebra crossings and vehicle number information at a crossroad; the vehicle-mounted image acquisition module is used for receiving vehicle-mounted image information uploaded by automobile data recorders on taxis and buses, wherein the vehicle-mounted image information comprises road guardrail image information and guardrail climbing person face image information; the signal lamp data acquisition module is used for acquiring traffic light information, wherein the traffic light information comprises red light information and green light information. The urban area-based pedestrian abnormal traffic behavior pattern recognition management and control system has more functions, can better manage and control pedestrians, and canprovide warning information for passing vehicles to reduce traffic accidents.

The invention discloses an emotion recognition method and device when a user drives a vehicle, a storage medium and a terminal. The method comprises the steps of obtaining a facial expression in real time, performing data processing on the facial expression to extract facial feature data, and obtaining a facial information emotion state based on the facial feature data and a facial expression database; obtaining voice materials in real time, performing data processing on the voice materials to extract voice feature data, and obtaining a voice information emotional state based on the voice feature data and the voice expression database; detecting the heart rate and comparing the heart rate with a preset heart rate threshold value to obtain a heart rate information emotional state; and based on the facial information emotional state, the voice information emotional state and the heart rate information emotional state, judging the emotional state when the user drives the vehicle. According to the method, the judgment parameters of driver emotional state judgment are expanded, the emotional state judgment accuracy is improved, and car accidents caused by subjective factors such as poor emotional states in the driving process of a user are more effectively reduced.

The invention belongs to the technical field of classified garbage information processing and discloses a classified garbage disposal system and a classified garbage disposal method with garbage classifying boxes. The classified garbage disposal system with garbage classifying boxes comprises a video monitoring module, a center control module, a weight adjusting module, a distributing module, a voice prompting module, a peculiar smell purifying module, a gravity separating module, a compression module, a cleaning module and a display module. Garbage in areas are uniformly distributed and controlled in the garbage boxes effectively through the weight adjusting module, and the probability of occurrence of car accidents caused by non-uniform garbage distribution is reduced. Meanwhile, the utilization ratio of each garbage box is improved, so that the probability that garbage is scattered everywhere is further reduced, and meanwhile, waste of resources as the garbage boxes are not used isalso avoided.

The invention relates to the technical field of automatic driving, and specifically relates to a vehicle automatic driving system. The vehicle automatic driving system is characterized in that a laserradar, a camera module, a steering sensor, front and back sensors, a speed transmitter, an acceleration sensor, an inclination angle sensor, a network module, an electronic radar, a laser range finder and a positioning module are connected with a vehicle-mounted integrated controller; the network module is connected with a mobile device terminal and a remote monitoring service terminal; and the laser range finder and the laser radar are connected with the speed transmitter and the acceleration sensor. The vehicle automatic driving system has the advantages that the vehicle automatic driving system interacts with an urban road center for real-time data, thus being able to timely update the road information, improving the navigation accuracy, and greatly reducing occurrence of violation events, such as vehicle overspeed, and red light violation, so as to reduce the occurrence probability of traffic accidents and guarantee safety of drivers to some extent.

The invention discloses an automatic vehicle driving system and a usage method therefor. The automatic vehicle driving system comprises a laser radar device, a position evaluation device, a camera andradar devices, wherein the laser radar device is arranged on a top part of a vehicle body and is used for scanning in all directions, an accurate three dimensional map about a vehicle body environment can be obtained, the position evaluation device is arranged on a left rear wheel of the vehicle body and is used for accurately positioning a position thereof on the map, the camera is arranged beside a rearview mirror and is used for helping a vehicle-mounted computer to identify side pavements and bicycle barriers, and the radar devices are arranged on a periphery of the vehicle body and are used for determining distance from the positions of the barriers. The beneficial effects of the automatic vehicle driving system and the usage method therefor disclosed in the invention are that due toreal time data interaction between the automatic vehicle driving system and an urban road center, road information can be timely updated, and navigation accuracy can be improved; peccancies such as overspeeding, jumping a red light and the like can be greatly reduced; probabilities of car accidents can be lowered; safety of a driver can be ensured to a certain degree.

The invention provides a vehicle intelligent network real-time communication device and a communication method thereof. The device comprises an overall vehicle electronic control unit, a communication electronic control unit and a storage unit. The overall vehicle electronic control unit comprises a controller LAN module, a serial peripheral interface module and a control module. The communication electronic control unit comprises an asynchronous receiver / transmitter module, two serial peripheral interface modules, two controller LAN modules, a control module and a USB module. The device further comprises a GPS module, a 4G module, a controller LAN bus and two controller LAN transceivers. According to the invention, the on-board wireless network of a vehicle is connected with mobile communication equipment during the driving process of the vehicle based on the WiFi and the 4G wireless network. Meanwhile, based on the wireless network communication technology, the real-time data exchange is realized. Based on the controller LAN bus technology, the data of the above vehicle can be acquired in real time. Moreover, the acquired data can be transmitted to a display screen, so that the surrounding road condition can be provided for the driver of the vehicle in real time.

The invention provides a double-cylinder active shock absorber. The other end of a compression valve component (9) at the tail of a round cylinder is communicated with a one-way valve (11) by virtue of an oil pipe; the one-way valve (11) is connected with an oil passage (5) in the round cylinder by virtue of a connecting oil pipe (12) which penetrates through an electromagnetic valve component (13); the periphery in the round cylinder is provided with a piston rod II (3); the middle of the periphery of the piston rod II (3) is provided with a dust-proof component (6); the lower part of the periphery of the piston rod II (3) is provided with a spring (7); the tail of the periphery of the piston rod II (3) is provided with a movable piston (10); the piston rod II (3) is connected to a movable piston (10); the spring (7) is arranged between the dust-proof component (6) and the movable piston (10). The double-cylinder active shock absorber is good in creation comfortability and good in turning performance.

The invention relates to the technical field of barrier monitoring at traffic intersections, in particular to a barrier monitoring system used at a traffic intersection. The barrier monitoring systemcomprises a vehicle-mounted terminal and a plurality of numbered monitoring terminals, wherein the vehicle-mounted terminal is used for being mounted on a vehicle and performing signal transmission and reception; the monitoring terminals are used for being mounted at right-turning bends and conducting barrier detection; the vehicle-mounted terminal comprises a display module, a GPS module, a transceiving module and a microprocessor; and each monitoring terminal comprises a barrier detection module, a communication module and a microcontroller. The barrier monitoring system prompts a driver that a barrier exists in a blind zone of the upcoming right-turning bend in advance on the vehicle-mounted terminal, avoids the driver from having no chance of avoiding the barrier when the driver findsthe barrier after turning, reduces the occurrence of car accidents, only transmits barrier information to the vehicle-mounted terminal by means of the monitoring terminals after the vehicle enters theturning lane, and is more precise and timely.

The invention discloses an agglomerate fog detection method based on video analysis. The method comprises the following steps of acquiring a video stream and carrying out dark channel prior convolution processing on a video image; acquiring a farthest view point assigned by a user, forming a perspective scope, and according to the point, dividing the perspective scope into different perspective areas in an equal proportion mode; carrying out pixel value statistics on each perspective area; and determining each perspective area successively from small to large, if a statistics result of one perspective area exceeds a setting threshold, determining that the area is covered by agglomerate fog, otherwise, determining that the area is not covered by the agglomerate fog. In the invention, based on prior knowledge of a dark channel, the image is preprocessed; based on perspective scope estimation of the farthest point, the agglomerate fog can be effectively detected; and accuracy is high.

The invention relates to a method and a message processing device capable of increasing driving safety or increasing driving convenience, using an image recognition unit or an equivalent unit or a program containing an equivalent execution function to compare and determine the extracted or inputted messages as an image message. If the extracted or inputted image message is determined by the imagerecognition unit to be an image message containing or missing a predetermined or a specific feature, the image recognition unit outputs a signal or power related to the feature through the operating program of the message processing device or the processing unit or an equivalent device, and directly or indirectly, causing the corresponding switch or device or module or unit to execute the corresponding action or instruction; the method for improving the safety performance or the convenience of operation of the vehicle and the device for applying the method can improve the safety of driving orimprove the convenience of driving.

The invention belongs to the technical field of traffic management, and particularly relates to a smart city monitoring system based on image recognition. The system comprises an equipment terminal, an information acquisition module and a central processing module. The equipment terminal comprises a traffic light column and a voice broadcast assembly. The traffic light column is used for commanding pedestrians to pass across the traffic light intersection through color and number conversion; and the voice broadcast assembly is arranged in the traffic light column and used for commanding the pedestrians to pass orderly according to the time displayed on the traffic light column. The accuracy of information transmission can be effectively enhanced through a color and voice dual-reminding mode, and the problem that the color blindness cannot accurately grasp signal reminding of the traffic light column when passing across the traffic light intersection is effectively avoided. Pedestriansare supervised through the information acquisition module, traffic rule management is carried out on the pedestrians through voice broadcast warning and concern language, violation information recording processing is carried out on the pedestrians breaking the traffic rules, and the traffic awareness of the pedestrians is effectively guided and enhanced.

The invention discloses a bicycle safety monitoring alarm system with a lighting function and a control method. The system mainly comprises a control unit, a speed measurement unit, a lighting unit, a weight induction unit, an Internet of Things communication module, a GPS positioning module, a GSM module, a server and a client side. The defects that in the prior art, bicycle monitoring means are lacking, consequently bicycles break traffic rules, and the accident occurrence probability is obviously increased are overcome, monitoring of the bicycle speed of the bicycles in traffic is completed, corresponding plans are made according to the concentration period of time and concentration places of bicycle overspeed, potential safety hazards in traffic are reduced, the defects that the bicycle riding speed is not limited or the highest bicycle speed limitation is set unreasonably, and consequently peril accidents happen frequently are overcome, the occurrence probability of bicycle accidents caused by dim light is reduced, meanwhile, riders can obtain the own riding speeds at any time, and therefore corresponding deceleration measures can be taken to avoid potential safety hazards.

The invention discloses a novel assembling-greening wind-power-generating expressway central isolation belt. The isolation belt is characterized by comprising a concrete isolation belt box body, a fixing column and a steel strand. According to a novel assembling-greening expressway central isolation belt power generating device, solar energy, thermal energy and electricity energy on an expresswayare fully utilized through green plants and a wind power generation unit.

The invention discloses a brake safety protection system for a new energy automobile, relates to the technical field of new energy automobiles, and aims to solve the problems that the internal structure of a brake device is not protected under the emergency brake condition of the automobile, and the like. The brake safety protection system comprises a first box body, a brake plate and a wheel axle, partition plates are welded to the inner walls of the two sides of the first box body, and the top of each partition plate is fixedly connected with a second box body through bolts. The braking purpose can be achieved through the brake plate, the internal structure of the second box body can be emergently cooled when an automobile is emergently braked, the brake plate can be conveniently disassembled and assembled, an operator can conveniently replace the brake plate by himself, the safety of the operator is guaranteed to a certain degree, car accidents are reduced, damage to some parts of the vehicle in the emergency braking process is avoided, and spontaneous combustion of the vehicle due to the fact that the temperature is too high after emergency braking can be prevented.