139results about How to "Improve driving habits" patented technology

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.

The invention brings forward a smart diagnosis device of the Internet of Things. The smart diagnosis device comprises: a vehicle data acquisition module for acquiring multiple operation data of a vehicle; a vehicle data analysis module for analyzing the multiple operation data so as to generate condition data, positioning data and alarm data of a vehicle; a communication module for sending the condition data, the real-time position data and the alarm data of the vehicle from the vehicle data analysis module to a cloud end device through a base station and further forwarding the condition data, the real-time position data and the alarm data of the vehicle through the cloud end device to at least one client so as to enable a user at the client to obtain the running state of the vehicle. According to the invention, the smart diagnosis device of the Internet of Things can enable the user to timely master the current state of the vehicle, provides rich position services, and enables a vehicle owner to easily understand the condition of his vehicle, improve his driving habits and obtain such information as a travel report and the like.

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.

The invention provides a method for restoring a road traffic scene and a driver driving behavior based on multi-sensor data. Through the multi-sensor data and multi-restoration algorithm fusion, precise restoration of the road traffic scene and the driver driving behavior is realized. The method for restoring the road traffic scene and the driver driving behavior based on the multi-sensor data particularly comprises the steps that the precise restoration of a vehicle running track is realized by mutual calibrating of multi-source data; precise measuring of the speed and distance of a barrier is realized on the basis of single-camera vision and a millimeter-wave radar; and the multi-source data fusion generation is smaller than the road traffic scene, and the driving behavior is greater than data pairs. According to the method for restoring the road traffic scene and the driver driving behavior based on the multi-sensor data, the defects that the data source in the prior restoration art is singular, high quality data is obtained relying on expensive equipment, and restoration precision is low are overcome.

The invention discloses a safe driving assisting system based on the biological recognition technology. The safe driving assisting system based on the biological recognition technology comprises a main host, and is characterized in that the main host comprises an analyzing and processing module, an alarm module and a GPS module; a heartbeat sensor collects heartbeat feature data of a driver; an infrared camera collects face feature image data of the driver; an external camera collects image data within the front portion of a vehicle; the GPS module is responsible for collecting locating and speed data; the analyzing and processing module processes and analyzes the collected image or the GPS data; the alarm module receives signals sent by the analyzing and processing module to give an alarm. The system can solve the problems of traffic accidents of lane departure, rear-end collision, collision and the like caused by various emergency situations such as fatigue driving and distraction of drivers and driving of learner drivers in the road driving of vehicles, and the safe driving assisting system can remind the drivers of potential risks in time, and share and relieve fatigue caused by high attention tension of the drivers.

The invention discloses an embedded, mobile and intelligent interconnection drive assisting system. The system comprises a global positioning system (GPS) positioning module, a random access memory, a vibration sensor, a 3rd generation (3G) telecommunication module, a double-axle acceleration transducer, a liquid crystal touch screen, and a central processing unit which controls the vibration sensor to enter a working state, monitors and acquires vibration signals of an automobile in real time, judges whether the current automobile or goods are in a danger state, receives transverse and longitudinal automobile acceleration signals which are acquired by the double-axle acceleration transducer, judges whether the traffic accident of the current automobile occurs or not, and sends an alarm message to a number which is set by the central processing unit in advance through the 3G telecommunication module if the automobile is in danger. In the system, the advantages of all independent modules are fully exerted and organically integrated. All modules are matched cooperatively, and ensure the safety of the automobile, goods and passengers; the real-time for rescuing accident vehicles and injured persons is improved; and the system has abundant functions of electronic commerce, audio and video entertainment, and wireless Internet access, and fully improves the driving comfort.

The embodiment of the invention discloses a vehicle-assisted driving method and system, wherein the method comprises: obtaining driving data sent by an automobile data storage device; obtaining auxiliary driving information relative to the driving data based on an auxiliary driving model, wherein the auxiliary driving information is at least one of the driving safety auxiliary information, the auxiliary information on the emergency response to the accident and the statics information; the auxiliary driving information is sent to the automobile data storage device for alerting. The vehicle-assisted driving method and system can provide a variety of clues as well as statistical analysis for the driver through real-time collection and in-depth excavation of all kinds of driving data, so thatprovide accurate reference to the driver and help the driver to develop good driving habits. And the driver's driving safety is improved; the block chain technique is used to storing and validating the data which can effectively ensure the reliability of data provided by data-provider in complex networks, avoid dishonest nodes, and prevent malicious tampering or disrupting.

The invention relates to an economic driving assistance system based on a big data cloud platform and an implementation method thereof. The economic driving assistance system comprises a cloud platform, a data transmission terminal, a vehicle internal bus network, a vehicle-mounted controller, a vehicle central control screen and a vehicle-mounted sensor. The implementation method comprises the steps that the vehicle-mounted sensor acquires information, the vehicle-mounted controller collects and processes the information and then transmits the information to the vehicle internal bus network, the data transmission terminal accesses to the vehicle internal bus network to acquire vehicle position information and the above information, the data transmission terminal transmits the information to the cloud platform so as to be stored and used for driving behavior analysis, and the cloud platform performs driving behavior guidance on a driver. The economic driving assistance system can scientifically analyze historical driving behavior data, accurately recognize the current state of the vehicle, correctly guide driving actions of the driver and improve driving behaviors of the driver.

The invention discloses a device and method for evaluating driving behaviors and an intelligent vehicle. The device comprises a power saving index determining module, a steady index determining module, a technical index determining module, a civilization index determining module, a vehicle loving index determining module and a comprehensive index determining module. The power saving index determining module is used for determining the power saving index of the driving behaviors of a user of the intelligent vehicle according to the driving behaviors of the user of the intelligent vehicle, the steady index determining module is used for determining the steady index of the driving behaviors of the user of the intelligent vehicle according to the driving behaviors of the user of the intelligent vehicle, the technical index determining module is used for determining the technical index of the user of the intelligent vehicle according to the driving behaviors of the user of the intelligent vehicle, the civilization index determining module is used for determining the civilization index of the driving behaviors of the user of the intelligent vehicle according to the driving behaviors of the user of the intelligent vehicle, the vehicle loving index determining module is used for determining the vehicle loving index of the user of the intelligent vehicle according to the driving behaviors of the user of the intelligent vehicle, and the comprehensive index determining module is used for determining the comprehensive evaluation index of the driving behaviors of the user of the intelligent vehicle. By means of the device and method and the intelligent vehicle, the driving mode of the user with good driving habits can be learnt, and the user with bad driving habits can be guided to form good driving habits.

The invention discloses a vehicle collision detection method and system based on a vehicle-mounted intelligent terminal. The method comprises the following steps: the vehicle-mounted intelligent terminal acquiring driving data in the driving process in real time, transmitting the driving data to a background server in real time, and then the vehicle-mounted intelligent terminal judging whether the collision occurs according to the change of the driving data; when detecting that the change value of the driving data is greater than a predetermined value, the vehicle-mounted intelligent terminal judging that that the collision occurs at present, acquiring a preset processing mode to primarily process the vehicle-mounted intelligent terminal; the background generating a final judgment result, and feeding back to the vehicle-mounted intelligent terminal; when detecting that the final judgment result and the primary judgment result are inconsistent, the vehicle-mounted intelligent terminal correcting the current primary processing operation. Through the adoption of the method and system disclosed by the invention, the error reporting can be reduced, the condition that disc volume is fully occupied since the video is frequently locked in the driving record is avoided; the detection accuracy is improved, the available information can be immediately obtained, and the collision can be immediately processed.

The invention relates to a defensive driving simulation, experience and training system based on a real vehicle body. The defensive driving simulation, experience and training system comprises a multi-freedom moving platform, and a real vehicle body module which is installed on the multi-freedom moving platform and move synchronously with the multi-freedom moving platform. The real vehicle body module and the multi-freedom moving platform are connected with a console through a data acquisition and processing module, and the console is connected with a visual simulation module and hearing simulation module. The defensive driving simulation, experience and training system effectively creates a vivid road traffic environment, and realizes defensive driving simulation and experience, so that an experience effectively masters safe driving skills, improves safe driving awareness, and develops good driving habits. The defensive driving simulation, experience and training system is good in adaptability, and is highly safe and reliable.

The invention relates to a man-machine interaction technology, in particular to a system and a method for vehicle interaction based on travelling data. The system comprises a travelling data collection unit, a vehicle-mounted interaction unit and a cloud service platform. The method briefly comprises collecting information about vehicles and drivers by the travelling data collection unit, realizing man-machine interaction through the treatment of the vehicle-mounted interaction unit, performing secondary treatment on the treated data through the cloud service platform and realizing interaction of different vehicles. The vehicle system and the method provided by the invention have the beneficial effects that the drivers can improve the driving habits through the visual data, so as to improve the driving level, promoting the driving safety and realizing interaction with the vehicles; and in addition, the drivers can realize real-time chat, data sharing and remote assistance with other drivers. Therefore, the traditional vehicle driving activities having no interaction between the vehicle and the driver and between the drivers are changed. The system and the method for vehicle interaction based on the travelling data are applicable to the vehicles.

The invention discloses a scenario-based driving behavior evaluating method. The method comprises the following steps that: S1, a data acquisition unit for an ECU (Electronic Control Unit) of a vehicle collects the vehicle working condition data and vehicle performance data, and then the collected data is synchronized to an intelligent cloud platform in real time through a wireless network; S2, the intelligent cloud platform analyzes the recorded data for the driving travel same as the travel route by a big data analysis method; and S3, the intelligent cloud platform receives the data transmitted from an intelligent mobile terminal, the data is stored in the platform, and the driving travel of the time is accurately analyzed by a big data analysis method according to the historical travel data. The method is high in accuracy, can accurately evaluate the degree of proper driving actions of a driver in different situations and objectively reflect the driving skill level of the driver, and meanwhile, is high in computational efficiency, and can quickly evaluate the driving behavior of the driver and feedback the evaluation result in time.

The invention discloses a method and device for oil consumption measurement and calculation based on data of a vehicle-mounted diagnostic system. The method comprises the steps that OBD data is connected continuously at preset time intervals, and time points for collection of the OBD data are recorded as multiple collection time points; multiple refueling periods and multiple refueling time points are determined, and multiple segments of invalid data are determined; a remained oil changing tendency of each oil use period is calculated, and calculation results are used correspondingly to substitute the invalid data; a remained oil changing tendency of each travelling period is calculated; each traveling period is spliced and optimized, and an optimized remained oil quantity at the random collection time point in each travelling period is further obtained; and instant oil consumption, accumulated oil consumption, a refueling quantity and oil consumption statistics are calculated according to the optimized remained oil quantities, and the calculation results are displayed to a user. The method and device disclosed by the invention have the advantages that more accurate and practical oil consumption data can be provided to the user; and the user can be helped to improve driving habits, and further the fuel cost can be reduced.

The invention discloses a fuel-saving driving evaluation system for acceleration and deceleration processes and an algorithm. The fuel-saving driving evaluation system comprises a waste fuel quantity computing unit, the waste fuel quantity computing unit is implanted into an engine control unit and consists of a signal storage unit, a deceleration waste fuel quantity computing unit and a waste fuel quantity processing and storage unit, the signal storage unit is connected to the deceleration waste fuel quantity computing unit, the deceleration waste fuel quantity computing unit is connected to the waste fuel quantity processing and storage unit, the waste fuel quantity computing unit acquires required information from a storage unit of the engine control unit and stores the required information in the information storage unit, the deceleration waste fuel quantity computing unit acquires information from the information storage unit and computes waste fuel quantity of each deceleration process, waste fuel quantity information which is obtained via computation is inputted into the waste fuel quantity processing and storage unit, and the waste fuel quantity processing and storage unit computes the total waste fuel quantity of deceleration processes. By the aid of the fuel-saving driving evaluation system and the algorithm, the waste fuel quantity in the acceleration and deceleration processes of a vehicle can be computed accurately.

The invention provides a driving assisting method, device and system and an automobile. The system comprises a driving assisting switch, a driving state monitor, a central processing unit, a controller and an alarm. The driving assisting switch triggers a start signal according to the input of a driver and sends the start signal to the central processing unit; the central processing unit sends a monitor signal to the driving state monitor according to the received start signal and sends an alarm instruction to the alarm and/or sends a control instruction to the controller when judging that driving alarm is needed according to the current driving state information fed back by the driving state monitor; the driving state monitor monitors the driving state according to the received monitor signal and sends the current driving state information obtained through monitoring to the central processing unit; the controller conducts corresponding controlling according to the received control instruction; the alarm gives a corresponding alarm according to the received alarm instruction. By means of the scheme, the driving safety is ensured, and traffic accidents are avoided.

The invention discloses a driving habit recognition method, system and equipment for an electric automobile and a storage medium. The driving habit recognition method for the electric automobile comprises the steps that S100, a history driving habit score value of each unit time section before a unit time section of the current time is obtained by using a preset time length as a unit time section;and iteration is carried out on the history driving habit score values according to an iteration strategy to obtain a current driving habit score value of the current time, wherein the history driving habit score value is obtained according to a road condition type of a running road and a sliding coefficient in the unit time section; and S200, the electric automobile comprises an instrument; andthe current driving habit score value is displayed on the instrument.

The invention relates to the field of logistics, in particular to a logistics monitoring system and method based on vehicle conditions. The commercial vehicle condition logistics monitoring system comprises a vehicle networking cloud monitoring service platform, a vehicle networking remote communication module, a network camera, a WEB monitoring platform, an administrator mobile phone client and adriver mobile phone client. After an administrator checks the vehicle conditions and driver conditions, vehicles are remotely monitored and controlled, and drivers are remotely monitored and reminded. The monitoring method based on the commercial vehicle condition logistics monitoring system includes the steps: setting dangerous operations and mandatory instructions; reporting data to the vehiclenetworking cloud monitoring service platform to perform matching judgment, selecting push warning rectification notices and/or directly transmitting the mandatory instructions by the administrator after passing matching judgment. The conditions of the drivers and the vehicles and operations of the drivers can be monitored in real time, the drivers are supervised and urged to correct improper operations, good driving habits are developed, and personal safety of the drivers in the driving process is guaranteed to a greater extent.

The invention is suitable for the technical field of car networking, and provides a driving behavior analysis method and system. The method comprises the following steps: receiving the driving behavior analysis request from a car owner, and sending a behavior analysis command to a cloud server through the mobile Internet; acquiring a driving behavior according to the received driving data within the preset time sent by the cloud server, wherein the driving data comprise the driving acceleration, the fuel consumption per unit time, braking operation, turning operation and the occurrence time; judging whether an adverse driving behavior exists in the driving behavior, if so, drawing an interface, and displaying the adverse driving behavior on the interface. The method and the system adopt the mobile Internet to transmit the car driving data, adopt a mobile terminal to realize the normalized and standard analysis on the driving behavior, and assist the car owner to understand and improve driving habits.

A driving record analysis system based on identity recognition and safety supervision comprises a driving safety instrument, a mobile phone APP and a cloud management platform, and the driving safetyinstrument comprises a CPU core module, a WIFI module, a Bluetooth module, a 4G/5G communication module, a GPS module, a power module, a double-channel camera and an audio module. The driving safety instrument is in wireless connection with the mobile phone APP and the cloud management platform. The mobile phone APP is used for realizing the identity verification and control functions with the driving safety instrument. The cloud management platform is used for system data management, online supervision and artificial intelligence analysis. According to the system, new authentication and interconnection mechanisms of the mobile phone APP, the RCC-SIM card, the driving safety instrument and the cloud server are combined, intelligent service and safety guarantee are provided for driving through the artificial intelligence analysis system, and intelligent service and safety guarantee are provided for driving.

The invention provides a vehicle-mounted terminal based on information sharing. The vehicle-mounted terminal comprises a vehicle information collection module, a road recognition, road surface information collection and obstacle recognition module, a positioning module, a gyroscope and a communication module. The invention further provides a method for information sharing through the vehicle-mounted terminal. The method includes a five-layer algorithm. On the basis of a vehicle information collection device and through the communication module and a server, collected data are processed in a layered manner, and the vehicle-mounted terminal is applied to and serves clients in various different scenes, so that the clients are enabled to acquire more own vehicle information, other vehicle information and road information, and all traffic participants using software and hardware of a system are enabled to clearly know traffic environment conditions that they participate in all the time.

The invention provides a driving control system and method. The system comprises a smartphone which is placed on an automobile and has the same motion state as the automobile and a diagnostic service platform in communication connection with the smartphone, wherein the smartphone is internally provided with an accelerated speed sensor used for measuring accelerated speed; the diagnostic service platform is used for receiving and processing direction data and accelerated speed data transmitted by the smartpone, comparing processing results with preset conditions and transmitting corresponding prompt information to the smartphone. Compared with the prior art, an electronic compass and the accelerated speed sensor installed on the smartphone are used for measuring the accelerated speed, the speed and the direction of the automobile in real time, measuring results are transmitted to the diagnostic service platform to be processed, the diagnostic service platform can master the operation state of the automobile in real time, and control and remind a driver of various unreasonable driving behaviors in the automobile traveling process, and the driver is helped to develop good driving habits.

The invention discloses a mechanical centrifugal vehicle accelerator misapplication prevention safety assistance device. The device comprises a first gear and rack mechanism, a second gear and rack mechanism and an internal meshing ratchet wheel mechanism connecting the first gear and rack mechanism and the second gear and rack mechanism. A pawl of the internal meshing ratchet wheel mechanism is connected with a centrifugal push rod mechanism, the pawl and the centrifugal push rod mechanism are arranged at the output end of a gear shaft of the first gear and rack mechanism, a ratchet wheel is arranged at the input end of a gear shaft of the second gear and rack mechanism, the two gear shafts are arranged in a supporting shell through bearings, and two racks are sleeved with return springs. When an accelerator pedal is mistakenly treaded and quickly pressed, the gear shaft of the first gear and rack mechanism is driven by the racks to quickly rotate, the centrifugal push rod mechanism generates centrifugal force to drive the pawl to open and be meshed with the ratchet wheel, and the ratchet wheel drives the gear shaft of the second gear and rack mechanism to rotate so that the racks can drive a brake pedal to be pressed downwards, and braking is achieved. The device is simple in structure, the performance of the original structure is not affected, and the braking performance of the device is safe and reliable.

The invention provides a 24-hour vehicle turning overspeed control device. The device solves problems such as accidents caused by three main factors including visual line, speed and surface gathered water during the turning of the prior automobile. The 24-hour vehicle turning overspeed control device comprises a control center, a power supply connected with the control center and an inertia signal measurement circuit, wherein the inertia signal measurement circuit is connected with the control center; the control center is also connected with a vehicle interior signal source; after the comprehensive analysis and calculation of an inertia signal and a signal of the vehicle interior signal source, the control center generates a control signal; and the output end of the control center is connected with an execution circuit. The control device can ensure automatic control over speed reduction and prompt and alarm at the first time during overspeed turning in all kinds of weather without requiring the calculation of the relation between a vehicle speed and a turning angle of a driver, thereby eliminating various risks and hidden dangers which occur during the turning of most vehicles.

The invention discloses an intelligent car simulation driving device, which comprises a virtual cockpit and a simulation control system, a chassis is arranged at the bottom of the virtual cockpit, a gearbox is arranged at one side of the top of the chassis, and a transmission box is arranged at the top of the chassis. A gear lever is arranged on one side of the top, a handbrake is arranged on one side of the gear lever, a seat is arranged on one side of the gearbox, a headrest is arranged on the top of the seat, and a headrest is arranged on the top of the chassis. An instrument panel assembly is arranged on one side. Beneficial effect: the design is reasonable, which greatly improves the simulation and operation feeling of the simulated driving of the car, thereby effectively improving the accuracy of data collection in the simulated driving, thereby bringing great help to the driver's driving learning, and at the same time , It has played a very good role in regulating the driver's civilized driving, thus effectively reducing the occurrence of traffic accidents, thereby greatly improving the safety of the driver or other people's life and property.