DRIVING PERFORMANCE ASSESSMENT DEVICE

Abstract

The utility model relates to a device for assessing a driver's driving style, including during driving training on a driving course or driving range at a driving school. The proposed technical solution enhances the device's functionality by incorporating a CAN bus, a machine learning module, and an external lighting unit. It also enables the instructor to monitor the student for any erroneous driving actions and assess the driver's driving style on the driving course in real time using V2X communication technology.

Description

[0001] The utility model relates to a device for assessing the driving characteristics of a car driver, including when training to drive at a driving range or a driving site in a driving school.

[0002] A measuring device for measuring the driving style of vehicle drivers is known in the art, in which, in particular, the braking behavior is measured (patent DE 055656, 2008). As part of the evaluation, evaluation scale values, such as color codes, a quality indicator, scale rating numbers, test charts, and acoustic signals, can be transmitted or output.

[0003] Furthermore, a method for measuring the driving behavior of a driver with respect to fuel use is known (patent DE 041618, 2008), in which the actual speed of a vehicle signal is detected, then the frequency of the first signal is filtered, and by measuring the difference between the two signals, the driving behavior with respect to fuel use is measured.

[0004] A common drawback of these technical solutions is the difficulty of monitoring errors when the trainee operates the vehicle controls, as well as the difficulty of assessing the trainee’s driving style in real time by the instructor.

[0005] A device for assessing the quality of driving a car is known, comprising an on-board car computer, the memory unit of which includes reference information on the quality of driving a car with ranges of acceptable values ​​with the possibility of comparing them with the determined values, as well as a storage of accumulated statistics, a speed control unit, a speed sensor (RU Patent 2308385, 2005).

[0006] The disadvantage of the known device is the insufficient accuracy of the vehicle driving quality assessment, since the assessment is carried out based on one parameter, as well as the inability to control errors and assess driving behavior in real time.

[0007] A device for assessing the driving behavior of a vehicle driver is known (patent RU 2501683, 2013), in particular for implementing the process according to one of the specified points of the route, containing at least one indicator device intended for indicating at least one driving information measuring and / or establishing the driving behavior of the driver, and a device for determining the driving behavior intended for recording and / or determining certain driving parameters, the corresponding indications of the driving information are adapted depending on the progress in the training and / or driving engine recorded in this way, the device evaluates the driving style, and wherein the indication established by a positive result, the training is adapted in the mode of changing and / or switching the indication, in which a change occurs in that the device determines the driving style in such a way,that after some time after the last detected driving error, an increase in the indication of at least one driving information occurs, in particular with this type and / or this leads to a decrease in one detected driving error, and wherein the vehicle driving device comprises a data carrier that contains data reflecting the driving pattern and / or the progress in driver training.

[0008] The disadvantage of the device is the complex operating algorithm of the device, as well as the inability to assess the driving characteristics in real time.

[0009] The closest technical solution is a device for assessing the quality of car driving (patent RU 81691, 2008).), comprising an on-board automobile computer, the memory unit of which includes reference information on the quality of driving the automobile with ranges of permissible values ​​with the possibility of comparing them with the determined values, as well as a storage of accumulated statistics, a speed control unit, a speed sensor, a gas pedal control unit, a brake pedal control unit, an engine operating parameters control unit, a gearbox control unit, a clutch pedal control unit, a steering wheel control unit are introduced, as well as the sensors corresponding to them, connected to these units, wherein the introduced units are connected to the storage of accumulated statistics and to the memory unit of the on-board computer with reference information on the quality of driving the automobile containing ranges of permissible values ​​with the possibility of comparing them with the determined values, wherein the on-board computer is connected through a user interface to a monitor.

[0010] The disadvantage of the device is the lack of ability for the instructor to monitor erroneous actions while driving a car and to evaluate the driving behavior of the student in real time.

[0011] The technical problem that the claimed invention is aimed at solving is the elimination of the shortcomings of analogues and the prototype.

[0012] The technical result is aimed at increasing the functionality of the device and providing the instructor with the ability to monitor the student's erroneous actions while driving a car and evaluate the driving characteristics of the car on the driving range in real time.

[0013] The technical problem is solved in that a device for assessing the driving characteristics of a vehicle, comprising an on-board vehicle computer, the memory unit of which includes reference information on the driving characteristics of the vehicle with ranges of acceptable values ​​with the ability to compare them with the values ​​being determined, as well as a storage of accumulated statistics, a speed control unit, a speed sensor, a gas pedal control unit, a brake pedal control unit, an engine operating parameters control unit, a gearbox control unit, a clutch pedal control unit, a steering wheel control unit, connected to the storage of accumulated statistics, a memory unit and having the ability to connect to the sensors corresponding to them, additionally includes a CAN bus, a machine learning module, an OBU device with support for V2X communication technology, an external lighting device operating unit with a corresponding sensor, wherein all elements of the device are interconnected via a CAN bus.

[0014] Fig. 1 shows a device for assessing the driving characteristics of a car.

[0015] The device for assessing the driving behavior of a car comprises an on-board car computer 1, the memory unit 2 of which includes reference information about the driving behavior of the car with ranges of acceptable values ​​with the ability to compare them with the values ​​​​to be determined, as well as a storage 3 of accumulated statistics, a machine learning module 4, an OBU device 5 with support for V2X communication technology, a speed control unit 6, an accelerator pedal control unit 7, a brake pedal control unit 8, a clutch pedal control unit 9, an engine operating parameter control unit 10, a steering wheel control unit 11, a gearbox control unit 12, a control unit for the operation of external lighting devices 13, as well as sensors 14 corresponding to them, connected to these units, wherein the input units are connected to the storage 3 of accumulated statistics, to the memory unit 2, to the machine learning module 4 and to the OBU device 5 via the CAN bus 15,wherein the on-board computer 1 is connected via the user interface 16 to the monitor 17,

[0016] On-board computer 1 includes a system for collecting and processing driver data. This system includes units for monitoring driver control, units for monitoring vehicle components and assemblies, memory unit 2, which contains reference data on vehicle driving behavior with acceptable ranges for comparison with determined values, and a storage unit for accumulated statistics 3. Machine Learning Module 4, based on machine learning algorithms, in particular artificial neural networks and predictive analytics models, performs the following: comparison of signals from units 6–13 with reference values ​​loaded into memory unit 2; automatic machine learning of typical vehicle driving patterns and styles; description and prediction of the impact of driver input on driving characteristics and the potential for an accident, depending on the external environment. Predictive analytics models enable real-time forecasting of traffic conditions and the likelihood of an accident on a specific route or track, depending on the driver's driving characteristics.

[0018] Vehicle-to-Everything (V2X) is a communication technology between vehicles and road infrastructure, typically the infrastructure of a racetrack or driving range. V2X utilizes two main components: the On-Board Unit (OBU) and the Roadside Unit (RSU).

[0019] OBU 5 is a device installed in a vehicle that receives data from the RSU and processes it to provide the instructor with information about the exact location of the training vehicle on a section of the route or circuit, its speed, the nature of the driver's influence on the controls and the errors and traffic violations made.

[0020] The RSU is a device installed on the circuit's infrastructure, such as obstacle barriers, poles, road signs, and other elements, which collects data from video cameras, radars, road sign sensors, and other equipment. The RSU then transmits the received data to the OBU 5, located in the vehicle's driving performance evaluation unit, for recording in the memory unit 2, subsequent processing in the machine learning module 4, and transmission to the circuit's control center. The RSU can also transmit information about the current state of the circuit's road infrastructure or track and warn the driver of potential road hazards via wireless DSRC communication, which is independent of cellular coverage and provides near-instantaneous connection and data transmission at vehicle speeds of up to 250 km / h.The RSU acts as the "eye" of the circuit infrastructure, collecting and transmitting important vehicle movement information to improve the quality and objectivity of driving assessment within the V2X system.

[0021] Using V2X allows for objective assessment of vehicle driving characteristics on the track and increases the efficiency of the track's infrastructure by increasing the number of trainees simultaneously performing practical driving exercises. The RSU and OBU 5 are key V2X components that provide communication between vehicles and the track's infrastructure.

[0022] Sensors 14 are located directly on the vehicle's components and assemblies and record information about driver actions and vehicle system operating parameters. For example, they record when the gas, brake, and clutch pedals are pressed and released, the gear shift or automatic transmission mode selected, steering wheel angle, current speed, engine coolant temperature, engine speed, and more.

[0023] Control units 6-13 analyze information according to their built-in algorithms. Each control unit has access to all current information from sensors 14, as well as current information accumulated by other control units. Control units not only monitor current parameters but are also capable of accumulating information, tracking parameter changes and the rate of these changes, and transmitting this information to the accumulated statistics storage 3.

[0024] Memory block 2, which stores reference driving data, contains the minimum and maximum values ​​of monitored parameters. These values ​​are determined by the vehicle manufacturer through expert evaluation, taking into account the technical specifications of the specific vehicle.

[0025] If it is assumed that the driving style criterion for a given vehicle may be more than just minimal fuel consumption, then several sets of limit values ​​for the monitored parameters are entered into the reference data storage. Each set describes a specific driving style. The control units evaluate the driver's actions for compliance with each style, and all these assessments are transmitted to the accumulated statistics storage 3. Subsequently, the user can display on monitor 17 driving assessments for each described style, as well as an overall assessment of which style best corresponds to their driving actions during the given data collection period.

[0026] The claimed technical solution works as follows.

[0027] The vehicle driving behavior assessment device is used during practical driving on a driving range or other route equipped with V2X communication technology. While the training vehicle is moving, the device records parameters characterizing the driver's control input via sensors 14. Control units 6–13 analyze the information in accordance with their embedded algorithms and transmit it via CAN bus 15 for further processing to machine learning module 4. Using machine learning algorithms, the module compares the signals from units 6–13 with reference values ​​loaded into memory unit 2 and accumulated control input statistics loaded into accumulated statistics storage 3, describing and predicting the impact of the driver's actions on driving behavior and the possibility of an emergency situation depending on the external environment.The exchange of driving information between the vehicle and the control center is carried out in real time using V2X communication technology via the OBU 5 devices installed in the on-board computer and the RSU installed on the circuit infrastructure, at high speeds via DSRC wireless communication.

[0028] Thus, the proposed technical solution allows for the device's functionality to be enhanced by the introduction of a CAN bus, a machine learning module, and an external lighting unit, as well as the ability for the instructor to monitor the trainee's erroneous actions while driving a vehicle and to evaluate the vehicle's driving behavior on the driving range in real time through the use of V2X communication technology.

Claims

A device for assessing the driving characteristics of a vehicle, comprising an on-board vehicle computer, the memory unit of which includes reference information on the driving characteristics of the vehicle with ranges of acceptable values ​​with the ability to compare them with the values ​​being determined, as well as a storage of accumulated statistics, a speed control unit, a gas pedal control unit, a brake pedal control unit, an engine operating parameters control unit, a gearbox control unit, a clutch pedal control unit, a steering wheel control unit, connected to the storage of accumulated statistics, the memory unit and having the ability to be connected to the sensors corresponding to them, characterized in that a CAN bus, a machine learning module, an OBU device with support for V2X communication technology, an external lighting device operating unit with a corresponding sensor are additionally introduced into it, wherein all elements of the device are interconnected via a CAN bus,In this case, the exchange of information about the driving characteristics between the vehicle and the control center is carried out in real time using V2X communication technology via the OBU installed in the on-board computer and the RSU installed on the circuit infrastructure, at high speeds via DSRC wireless communication.

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