6324results about How to "Improve driving safety" patented technology

The invention discloses a cell phone system for vehicle monitoring, which is based on a cell phone control module and a vehicle driving module. Information exchanging of the cell phone and a vehicle is obtained through a communication module. A my-vehicle unit is added in the cell phone, a subunit of vehicle driving is set, and subunits of driving plans, happy driving and/or safe driving are selectively arranged so as to conduct real-time monitoring and control on the vehicle. The cell phone monitoring system can conduct vehicle management conveniently and fast, are complete in functions, more human-friendly and intelligent, meets requirements of different users, improves driving safety of the vehicle, helps users to drive the vehicles better, and effectively finishes journey.

The invention discloses a remote monitoring method and a remote monitoring system based on driving safety. The method comprises the steps that an intelligent automobile data recorder acquires driving behavior information of a driver; the intelligent automobile data recorder performs dangerous behavior analysis on the driving behavior information to acquire dangerous driving behavior information based on the driving safety and submits the dangerous driving behavior information to a cloud server; the cloud server analyzes data on the intelligent automobile data recorder to generate a data report. According to the method, the information such as the driving behavior and an automobile is submitted to the cloud server, so that the whole driving habit of the driver can be marked or graded, monitored and proofed due to logic analysis of the cloud, and the information of the driving behavior and the automobile is effectively monitored and managed; therefore, not only is the driving safety improved, but also the automobile management flexibility is improved. Compared with the prior art, the remote monitoring method and the remote monitoring system have the advantages that only a process of a bad driving behavior which is detected by a vehicle-mounted terminal system is monitored and stored, so that a wireless transmission bandwidth and storage resources of a server are saved.

The invention discloses an automobile intelligent speed limiting system and an automobile speed limiting method, and relates to the technical field of automobile safety driving assistance. The automobile intelligent speed limiting system and the automobile speed limiting method can improve accuracy of speed limiting identification recognition and improve driving safety of a driver. The automobile intelligent speed limiting system comprises a camera, an intelligent navigation device, an automobile body sensor and a controller, wherein the camera can recognize road traffic identification boards and extract road traffic identification information through the image processing technology, the intelligent navigation device can provide current road information, navigation route information and national or regional traffic road speed limiting law related information in real time, the automobile body sensor can provide automobile body information in real time, a traffic speed limiting identification database is set up in the controller, the input end of the controller is connected with the camera, the intelligent navigation device and the automobile body sensor, and the output end of the controller is connected with an automobile instrument and an engine ECU. The automobile intelligent speed limiting system is used for assisting in limiting the speed of the automobile.

The embodiment of the invention discloses an automobile driving behavior reminding method and system. The method comprises the steps of obtaining running state data and driving behavior data recorded in an automobile data storage device, judging whether an automobile is in an abnormal driving state or not according to the running state data and the driving behavior data, generating a user driving reminding message and sending the user driving reminding message to the automobile data storage device if yes, and giving out a reminding message through the automobile data storage device based on the user driving reminding message. According to the automobile driving behavior reminding method and system disclosed by the embodiment of the invention, the running state of the automobile can be judged out in real time on the basis of the running state data of the automobile and the driving behavior, a driver is reminded of the various abnormal driving behaviors in the running process of the automobile, and the driver is helped to keep a good driving habit; and besides, the driver is reminded of emergency circumstances and forward accidents possibly occurring in the running process of the automobile, and the driving safety of the driver is improved.

This invention relates to an automatic driving system of a road vehicle, especially to a system which providing automatic driving information indication for traveling vehicles and realizing vehicle automatic driving through the vehicle automatic control system, which is characterized by comprising: fixing markers at interval along a road travelling line, receiving information feedback by the fixed markers through a set relay information station and forming the vehicle and road information on the road, and constantly supplying the road and vehicle information of the road where the vehicle is to a vehicle automatic receiving processor after the received GPS(Global Position System) information and the vehicle and road information on the road are overall treated, installing an automatic driving software in a vehicle-mounted computer which can receive and treat relevant information of the relay information station at any time, constantly sending operation instructions to a vehicle automatic controller so as to keep the vehicle travelling information direction line consistent with the vehicle driving speed direction line, and sending instructions to the vehicle automatic controller according to the selected mode by a driver so as to realize vehicle automatic driving.

The invention relates to a method for designing gaps of end straight sections of diagonal few-leaf main springs and auxiliary springs, and belongs to the technical field of suspension steel plate springs. The method includes determining endpoint deformation coefficients of the various main springs and deformation coefficients G<x-CD> of contact points of the end straight sections of the N main springs and the auxiliary springs according to structure sizes and elastic modulus of the various diagonal variable-section main springs; acquiring endpoint force F<N> of the N main springs according to acting load of the auxiliary springs and the endpoint deformation coefficients of the various main springs; designing the main and auxiliary spring gaps between contact points of the end straight sections of the main springs and the auxiliary springs according to the thicknesses h<2> of roots of the N main springs, the endpoint force F<N> and the deformation coefficients G<x-CD>. The method has the advantages that as known from simulation verification, design values of the gaps of the end straight sections of the diagonal few-leaf variable-section main springs and the auxiliary springs can be accurately and reliably obtained by the aid of the method, and accordingly the product design level and performance and the vehicle ride comfort can be improved; the design and experiment costs can be reduced, and the product development speeds can be increased.

A navigation device for navigating an operator of a vehicle to a destination by showing a path to the destination on a map includes a map display means, a information retrieval means, a information storage means, a current time retrieval means, an information comparison means, and a information notification means. The map display means displays a map. The regulation information retrieval means retrieves regulation information including a regulation area and a regulation time. The regulation information storage means stores the regulation information. The current time retrieval means retrieves a current time. The information comparison means determines whether the current time is within the regulation time. The information notification means notifies the operator of the regulation information in advance for an assessment of a precautionary measure.

The invention involving a magnetorheological fluid damping device for automobile suspension system.The magnetic field generator of this damping device consists of permanent magnet and electromagnetic coil.On the top of the damping device,there are guide apparatus and damping regulator,the function of which is that to ensure the damping channel is uniform annular duct and to meet the high-damp requirement in the restoration process and low-damp requirement in the compression process of damper seperately.The current in the electromagnetic coil designs of bi-directional and this controls the magnetic field intersity of the damping channel,decreases the excitation current of the electromagnetic coil,reduces energy consumption and decreases damper fever.On the non-controlling conditions,this damping device has the equivalent characteristics of the traditional shock absorber and can instead the passive shock absorber,after equiping corresponding current controller,this device can regulate the damping characteristics of suspension system,which improves the automobile driving safety and ride comfort.

The invention proposes an intelligent vehicle traveling speed and time predication method based on a macro city traffic flow. Firstly the road and environment related variables in a driving environment are selected and quantified, secondly a GIS database of intelligent vehicle autonomous driving is established, thirdly combined with a regression analysis method, the combination rule of the key variables in the driving environment is provided, and the multiple-element linear relationship of intelligent vehicle driving speed and road design parameter, traffic condition and real-time road condition in a city traffic network is obtained, fourthly, based on the VLM model of the macro city traffic flow theory of a trapezoid density-flow basic pattern, the dynamic and stable characteristics of the VLM model of a road are obtained, and the speed and time evaluation function of the macro city traffic flow is given, and finally combined with the multiple-element linear vehicle speed model of the road in different vehicle flow density and initial states, the driving speed constraint equation of an intelligent vehicle in a city road network is obtained, and the optimal driving speed and travel time which satisfy a target function are obtained.

The present invention discloses a driving behavior decision system of an automatic driving public traffic vehicle. The system comprises an external environment perception module, an information fusion processing module, a driving scene determination module and a driving behavior decision module. The external environment perception module comprises a vision sensor, a laser radar, a millimeter wave radar, a GPS location module and a high-precision map. The driving behavior decision module employs a limitation state machine model, and the driving behavior decision module employs a driving behavior determination decision model based on an ID3 decision tree; and the information fusion processing module performs fusion processing of the environment information sent by an external environment perception module and sends the information after fusion processing to the driving scene determination module and the driving behavior decision module. The driving behavior decision system of the automatic driving public traffic vehicle can improve the driving safety of the automatic driving public traffic vehicle and effectively reduce the probability of traffic accidents.

With the intention of issuing an alert responsive to judgment of dozing at wheel or deviation from the lane, there is provided an alert system installed in a vehicle including driving state detecting means for detecting driving state of the vehicle; a mobile telephone including a camera; holding means for detachably holding the mobile telephone in an interior of the vehicle such that the camera is able to acquire an image ahead of the vehicle; and alert issuing means for issuing an alert from the mobile telephone based on the image ahead of the vehicle obtained by the camera and the driving state detected by the driving state detecting means.

The invention relates to a vehicle multi-target coordinating lane changing assisting adaptive cruise control method. The method comprises the following steps that 1) LCACC combination property indexes are set according to two-front-vehicle traceability, multi-vehicle movement safety and longitudinal driving comfort requirements, and the LCACC combination property indexes comprise a cost function and I/O constraints; 2) a multi-target coordinating optimal control problem is built, solving is carried out through a rolling time domain optimization algorithm, the optimal control quantity is obtained, and optimal control is achieved. The LCACC cost function is set according to the following steps that a) a traceability cost function is built through a two-norm linear combination of the vehicle distance errors and vehicle speed errors of the own vehicle and two front vehicles; b) a comfort cost function is built by restraining longitudinal acceleration. The LCACC I/O constraints are set according to the steps that a) in the respect of tracking performance, vehicle following error constraints which are used for limiting the vehicle speed errors and the vehicle distance errors and allowed by a driver are obtained through driver experimental data in a statistic mode; b) in the respect of safety performance, the safety distance between the own vehicle and multiple surrounding vehicles is restrained in the view of vehicle following and collision avoidance; c) in the respect of comfort performance, the expected longitudinal acceleration data range is restrained.

The invention relates to a monitoring and evaluation method of driving behavior risk degrees and belongs to the technical field of automobile active safety. The method includes that steering wheel rotating angles, vehicle speed, longitudinal acceleration and transverse acceleration are real-timely collected; the real-timely collected data are arranged to form a data sequence in chronological sequence; driving risk degrees of acceleration, braking, overspeed, lave maintaining and lane changing are monitored and evaluated respectively according to vehicle state parameter and driver operation parameter information; comprehensive monitoring and evaluation of total driving risk degree at current moment is performed according to each risk degree index that is obtained in time window wide range so that a comprehensive monitoring and evaluation value at the current moment is obtained. Communication of the obtained comprehensive monitoring and evaluation value with a driver is achieved through an on-line real-time early warning man-machine interaction mode, and thereby, purposes of improving driving safety qualities and reducing road traffic accidents can be achieved.

A traction power source for electric vehicles in a single unit. Specifically, traction power source integrates several functions, such as the battery and inverter. In addition, further functionalities that are traditionally in separate units can be integrated into the system and efficiently performed by the same electronics, such as battery management and thermal management.

The invention relates to a car behavior data identification and management method based on internet of things. According to the method, a car behavior database is established according to car condition data and the character and the driving style of a driver, a car prediction model used for predicting car behaviors is further established, and car behaviors are predicted. The method is capable of monitoring the vehicle state in time, detecting the driving mood of a driver, knowing the driving style of the driver and predicting the car behaviors in real time, so that the driving safety is improved, and a harmonious and safe society is better built.

The invention discloses a vehicle identification method and device and a vehicle. The method comprises the steps that a first image and a second image are acquired, the first image is a color image or a brightness image, and the second image is a depth image; road lane lines are acquired according to the first image; the road lane lines are mapped to the second image according to the interleaving mapping relation between the first image and the second image so that a vehicle identification range is generated in the second image; and the vehicle is identified according to the vehicle identification range. According to the method, the opposite-side vehicle can be rapidly and high-precisely identified, and alarm information can be rapidly and reliably generated on the basis of the identified opposite-side vehicle so that valuable braking reaction time can be won for the driver of the vehicle or the opposite-side vehicle and thus driving safety can be further enhanced.

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 relates to a method for designing few-leaf oblique line type variable-section main springs in the gaps between oblique line segments and an auxiliary spring, and belongs to the technical field of suspension steel plate springs. According to the structural sizes and the elasticity moduli of the oblique line type variable-section main springs, the endpoint deformation coefficient Gx-Di of each main spring and the deformation coefficient Gx-BC of the Nth main spring at the contact point of the corresponding oblique line segment and the auxiliary spring are determined first; then, according to the required auxiliary spring acting load design value and the endpoint deformation coefficient Gx-Di of each main spring, endpoint force FN of the Nth main spring is obtained; then, according to the thickness h of the root straight section of the Nth main spring, the Gx-BC and the FN, main spring and auxiliary spring gaps between the oblique line segment of the main springs and the contact point of the auxiliary spring are designed. Through simulation verification, it can be known that the main and auxiliary spring gap design value meeting the auxiliary spring acting load requirement can be obtained by means of the method, and the product design level, product performance and vehicle smoothness are improved. Meanwhile, design and testing cost is reduced, and product development speed is increased.