A duration-based evaluation method for bad driving behavior
Through the evaluation method of bad driving behavior based on duration, combined with the actual energy consumption and average driving time of 100 kilometers, the score is calculated, and the problems of inaccurate evaluation and low data utilization in the existing technology are solved, and more accurate driving behavior evaluation is achieved. and efficient use of data.
Patent Information
- Application Number
- CN202110412814.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-04-16
- Publication Date
- 2025-02-25
- Estimated Expiration
- 2041-04-16
AI Technical Summary
The existing driving behavior evaluation methods cannot distinguish the impact of fuel consumption of different bad driving behaviors at different durations, reducing the accuracy of evaluation, while driving behavior data cannot be used interactively, reducing the utilization rate of data.
The evaluation method of bad driving behavior based on duration is adopted, and the data of driving behavior and vehicle operating parameters are collected and processed, and the cumulative number and duration of bad driving behavior are calculated. Combined with the actual energy consumption and average driving time of 100 kilometers, nonlinear difference is used. The formula calculates the score to realize the interactive utilization of data.
It improves the accuracy of driving behavior evaluation, can objectively and accurately distinguish the impact of fuel consumption of different bad driving behaviors at different durations, and improves the utilization rate of data through interactive utilization of driving behavior data.
Smart Images

Figure CN113128863B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to a method for evaluating bad driving behavior based on duration, and belongs to the technical field of driving behavior analysis in the automobile field. Background Art
[0002] With the improvement of people's living standards, the trend of car ownership in families is becoming more and more obvious. While cars provide great convenience for people's daily lives, they also cause adverse effects such as traffic accidents and large energy consumption. Drivers' bad driving behavior is an important factor affecting traffic order and the safety of vehicles and pedestrians. Preventing and reducing the occurrence of bad driving behavior can effectively reduce the occurrence of traffic accidents and energy consumption. With the application of vehicle networking technology in public buses, the use of on-board terminals can record the duration of bad driving behavior, so it is possible to make a refined calculation of the score of driving behavior economy.
[0003] Existing driving behavior evaluation and monitoring mainly focuses on the number of bad driving behaviors that occur during driving. Vehicle-mounted equipment is used to perform simple statistics on bad driving behaviors that occur during driving. The number of bad driving behaviors that occur during driving is recorded and compared to evaluate and monitor the driver's driving behavior. The duration of bad driving behaviors is not considered, so it is impossible to distinguish the difference in the impact of different bad driving behaviors on automobile fuel consumption at different durations, which reduces the accuracy of driving behavior evaluation. At the same time, these driving behavior data usually only act on the vehicle itself, and there is no interactive use of driving behavior data, which reduces the utilization rate of driving behavior data. Summary of the invention
[0004] The purpose of the present invention is to solve the problems that the existing methods cannot distinguish the differences in the effects of different bad driving behaviors on automobile fuel consumption at different durations, which reduces the accuracy of driving behavior evaluation, and the existing driving behavior data usually only acts on the vehicle itself, and does not achieve interactive use of driving behavior data, which reduces the utilization rate of driving behavior data. A method for evaluating bad driving behavior based on duration is proposed to solve the problems that the existing methods cannot distinguish the differences in the effects of different bad driving behaviors on automobile fuel consumption at different durations, which reduces the accuracy of driving behavior evaluation, and the existing driving behavior data usually only acts on the vehicle itself, and does not achieve interactive use of driving behavior data, which reduces the utilization rate of driving behavior data.
[0005] A driving behavior evaluation method based on duration has the following specific process:
[0006] Step 1: Collect data reflecting the driver's driving behavior and vehicle operating parameters, including: vehicle speed, accelerator pedal opening, brake pedal opening, steering wheel angle, energy consumption per 100 kilometers, and duration per 100 kilometers;
[0007] Step 2: Remove abnormal data from the data reflecting the driver's driving behavior and vehicle operating parameters collected in step 1;
[0008] Step 3: Obtain the cumulative number and duration of bad driving behaviors;
[0009] Step 4: Calculate the deduction points for driving behavior on a single day;
[0010] Step 5: Calculate the actual energy consumption score per 100 kilometers per day;
[0011] Step 6: Calculate the single-day driving behavior score;
[0012] Step 7: Calculate the driver's driving behavior score for the entire month.
[0013] The beneficial effects of the present invention are:
[0014] 1) Scoring is based on the duration of bad driving behavior within 100 kilometers, and the final result is more objective and accurate.
[0015] 2) Taking into account the impact of actual road conditions, the average driving time per 100 kilometers is selected as the calculation basis for the driving behavior deduction items, and the calculation results are more objective and accurate.
[0016] 3) Taking into account the impact of actual road conditions, the average actual energy consumption per 100 kilometers of all drivers is selected as the calculation basis for the actual energy consumption per 100 kilometers scoring item, and the calculation result is more objective and accurate.
[0017] 4) The score of actual energy consumption per 100 kilometers is calculated by using a set formula to calculate the nonlinear differential method, which is conducive to improving the driver's enthusiasm for energy-saving driving, distinguishing the differences in the impact of different bad driving behaviors on automobile fuel consumption at different durations, and reducing the accuracy of driving behavior evaluation.
[0018] 5) By interactively utilizing driving behavior data, the actual energy consumption per 100 kilometers per day, the maximum actual energy consumption per 100 kilometers per day, the actual energy consumption per 100 kilometers per day of a driver, and the average actual energy consumption per 100 kilometers per day of all drivers are taken into consideration, thereby reducing the utilization rate of driving behavior data. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION
[0020] Specific implementation method 1: The specific process of a driving behavior evaluation method based on duration in this implementation method is as follows:
[0021] The present invention provides a driving behavior scoring method based on duration, including a driving behavior deduction item and a 100-kilometer actual energy consumption scoring item. The driving behavior deduction item is calculated according to a set formula based on the ratio of the duration of bad driving behavior to the average 100-kilometer driving time; the 100-kilometer actual energy consumption scoring item is calculated according to a set formula based on the ratio of the driver's 100-kilometer actual energy consumption to the average 100-kilometer actual energy consumption of all drivers on the route, and the driver's energy consumption result is added or subtracted according to the set formula.
[0022] The bad driving behavior deduction items include sudden acceleration deduction items, sudden deceleration deduction items, and sharp turn deduction items.
[0023] Step 1: Collect data reflecting the driver's driving behavior and vehicle operating parameters, including: vehicle speed, accelerator pedal opening, brake pedal opening, steering wheel angle, energy consumption per 100 kilometers, and duration per 100 kilometers;
[0024] Step 2: Remove abnormal data (such as vehicle speed less than 0, accelerator pedal opening less than 0, brake pedal opening less than 0, steering wheel angle less than 0, energy consumption per 100 kilometers less than 0, and duration per 100 kilometers less than 0) from the data reflecting the driver's driving behavior and vehicle operating parameters collected in step 1;
[0025] Step 3: Obtain the cumulative number and duration of bad driving behaviors;
[0026] Step 4: Calculate the deduction points for driving behavior on a single day;
[0027] Step 5: Calculate the actual energy consumption score per 100 kilometers per day;
[0028] Step 6: Calculate the single-day driving behavior score;
[0029] Step 7: Calculate the driver's driving behavior score for the entire month.
[0030] Specific implementation method 2: This implementation method is different from the specific implementation method 1 in that the cumulative number and duration of bad driving behavior are obtained in step 3; the specific process is:
[0031] Bad driving behaviors include sudden acceleration, sudden deceleration, and sharp turns;
[0032] 1) The method for judging the sudden acceleration driving behavior is:
[0033] 1a. Acceleration value is greater than or equal to 1.67m / s 2 , lasts for more than 2 seconds, and the accelerator pedal opening continues to increase;
[0034] 1b. The accelerator pedal opening rate of change is greater than a certain value and lasts for more than 2 seconds;
[0035] 1c. The accelerator pedal opening reaches or exceeds 50% within 1 second;
[0036] If 1a, 1b or 1c is met, it is judged as sudden acceleration driving behavior;
[0037] After the set time has passed (1a, 1b lasts for more than 2 seconds, and the accelerator pedal opening reaches or exceeds 50% within 1 second), if any of the above 1a, 1b, 1c conditions are not met, the rapid acceleration will stop being counted (all conditions must be met);
[0038] 2) The method for judging the sudden deceleration driving behavior is:
[0039] 2a. Deceleration value is greater than or equal to 1.67m / s 2 , lasts for more than 2 seconds, and the brake pedal opening reaches or exceeds 80%;
[0040] 2b. The brake pedal opening change rate is greater than a certain value and lasts for more than 2 seconds;
[0041] 2c. The brake pedal opening reaches or exceeds 70% within 1 second;
[0042] If 2a, 2b or 2c is met, it is judged as sudden deceleration driving behavior;
[0043] After the set time has passed (2a, 2b lasts for more than 2 seconds, 2c the brake pedal opening reaches or exceeds 70% within 1 second), if any of the above 2a, 2b, 2c conditions are not met, the rapid deceleration will stop being counted (all conditions must be met);
[0044] 3) The method for judging sharp turn driving behavior is:
[0045] The steering wheel angle change rate exceeds a certain limit.
[0046] The other steps and parameters are the same as those in the first embodiment.
[0047] Specific implementation method three: This implementation method is different from specific implementation methods one or two in that: the single-day driving behavior deduction points are calculated in step four; the specific process is:
[0048] Driving behavior deduction = rapid acceleration deduction + rapid deceleration deduction + sharp turn deduction
[0049] The calculation expression for deduction of points for a single driving behavior is:
[0050] F i =-a×t i / T
[0051] Among them, F i represents the deduction of points for the i-th driving behavior, i = 1, 2, 3; a represents the assessment weight of the company for the i-th driving behavior; t irepresents the average cumulative time of the driver's ith driving behavior within 100 kilometers; T represents the average 100-kilometer driving time of all drivers on that day;
[0052] The driving behavior deduction points mentioned in item 1 are deduction points for rapid acceleration;
[0053] The driving behavior deduction points mentioned in item 2 are deduction points for sudden deceleration;
[0054] Points will be deducted for sharp turns in the third driving behavior.
[0055] The other steps and parameters are the same as those in the first or second embodiment.
[0056] Specific implementation method 4: This implementation method is different from the specific implementation methods 1 to 3 in that the actual energy consumption score per 100 kilometers per day is calculated in step 5; the specific process is:
[0057] G = -b × 9.096 × (e 8×(g-N) / N -1) / 100 gN>0
[0058] G=0 gN=0
[0059] G = b × 9.096 × (e 8×(N-g) / N -1) / 100 gN<0
[0060] Among them, G represents the actual energy consumption score per 100 kilometers per day, b represents the maximum actual energy consumption per 100 kilometers per day, g represents the actual energy consumption per 100 kilometers per day of the driver, N represents the average actual energy consumption per 100 kilometers per day of all drivers, and the constant e is equal to 2.718;
[0061] The energy consumption is fuel consumption.
[0062] The other steps and parameters are the same as those in Specific Embodiments 1 to 3.
[0063] Specific implementation method 5: This implementation method is different from the specific implementation methods 1 to 4 in that: the single-day driving behavior score is calculated in step 6; the specific process is:
[0064] Single-day driving behavior score = 100 + single-day driving behavior deduction points + single-day actual energy consumption score per 100 kilometers
[0065] Drivers who are not driving a vehicle will not be scored, and the driving behavior deduction points are calculated based on the accumulated time of bad driving behavior.
[0066] The other steps and parameters are the same as those in Specific Embodiments 1 to 4.
[0067] Specific implementation method 6: This implementation method is different from the specific implementation methods 1 to 5 in that: the driving behavior score of the driver for the whole month is calculated in step 7; the specific process is:
[0068] The driving behavior score for the entire month is the average of the total driving behavior scores for the month, and the total number of days in the month is the number of days the vehicle is actually driven.
[0069] The other steps and parameters are the same as those in Specific Implementation Methods 1 to 5.
[0070] The following examples are used to verify the beneficial effects of the present invention:
[0071] Embodiment 1:
[0072] This embodiment is specifically prepared according to the following steps:
[0073] Take November of a certain year as an example, a company driver drove a pure electric bus. The relevant parameter settings and statistical data are as follows:
[0074] Table 1 Driving behavior assessment authority settings
[0075] Driving behavior Assessment weight Rapid acceleration 50 Rapid deceleration 15 Sharp Turn 35
[0076] Table 2 Maximum actual energy consumption per 100 km
[0077] b 20
[0078] The statistical results for March are as follows
[0079]
[0080] The vehicle-mounted equipment counts the monthly average driving time per 100 kilometers of all drivers, T = 10942.2 (s);
[0081] The actual energy consumption per 100 kilometers for 7 days in Table 3 is added up and divided by 7 to obtain the monthly average actual energy consumption per 100 kilometers for all drivers. The monthly average actual energy consumption per 100 kilometers for all drivers is:
[0082] N=(130.38+147.74+119.89+126.49+118.40+137.95+126.36) / 7=129.60(kw.h);
[0083] Constant e = 2.718;
[0084] Table 4 Scoring results
[0085]
[0086] Average driver monthly driving behavior score = 90.22;
[0087] Note: Take the data calculation on November 1 as an example.
[0088] Rapid acceleration: F = -50 × 2298.85 / 10942.2 = -10.5
[0089] Rapid deceleration: F = -15 × 1950.19 / 10942.2 = -2.67
[0090] Sharp turn: F = -35 × 8.54 / 10942.2 = -0.03
[0091] Energy consumption per 100 kilometers:
[0092] Total score of driving behavior economy = 100-10.5-2.67-0.03-0.09 = 86.71
[0093] The present invention may also have many other embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art may make various corresponding changes and modifications based on the present invention, but these corresponding changes and modifications should all fall within the scope of protection of the claims attached to the present invention.
Claims
1. A method for evaluating bad driving behavior based on duration, characterized in that: The specific process of the method is: Step 1: Collect data reflecting the driver's driving behavior and vehicle operating parameters, including: vehicle speed, accelerator pedal opening, brake pedal opening, steering wheel angle, energy consumption per 100 kilometers, and duration per 100 kilometers; Step 2: Remove abnormal data from the data reflecting the driver's driving behavior and vehicle operating parameters collected in step 1; specifically including: Data where the vehicle speed is less than 0, the accelerator pedal opening is less than 0, the brake pedal opening is less than 0, the steering wheel angle is less than 0, the energy consumption per 100 kilometers is less than 0, and the duration per 100 kilometers is less than 0; Step 3: Obtain the cumulative number and duration of bad driving behaviors; Step 4: Calculate the deduction points for driving behavior on a single day; Step 5: Calculate the actual energy consumption score per 100 kilometers per day; Step 6: Calculate the single-day driving behavior score; Step 7: Calculate the driver's driving behavior score for the entire month; In step 3, the cumulative number and duration of bad driving behaviors are obtained; the specific process is: Bad driving behaviors include sudden acceleration, sudden deceleration, and sharp turns; 1) The method for judging the sudden acceleration driving behavior is: 1a. Acceleration value is greater than or equal to 1.67m / s 2 , lasts for more than 2 seconds, and the accelerator pedal opening continues to increase; 1b. The accelerator pedal opening rate of change is greater than a certain value and lasts for more than 2 seconds; 1c. The accelerator pedal opening reaches or exceeds 50% within 1 second; If 1a, 1b or 1c is met, it is judged as sudden acceleration driving behavior; 2) The method for judging the sudden deceleration driving behavior is: 2a. Deceleration value is greater than or equal to 1.67m / s 2 , lasts for more than 2 seconds, and the brake pedal opening reaches or exceeds 80%; 2b. The brake pedal opening change rate is greater than a certain value and lasts for more than 2 seconds; 2c. The brake pedal opening reaches or exceeds 70% within 1 second; If 2a, 2b or 2c is met, it is judged as sudden deceleration driving behavior; 3) The method for judging sharp turn driving behavior is: The steering wheel angle change rate exceeds a certain limit; In step 4, the deduction points for driving behavior on a single day are calculated; the specific process is as follows: Driving behavior deduction = rapid acceleration deduction + rapid deceleration deduction + sharp turn deduction The calculation expression for deduction of points for a single driving behavior is: F i =-a×t i / T Among them, F i represents the deduction of points for the i-th driving behavior, i = 1, 2, 3; a represents the assessment weight of the enterprise for the i-th driving behavior; t i represents the average cumulative time of the driver's ith driving behavior within 100 kilometers; T represents the average 100-kilometer driving time of all drivers on that day; The driving behavior deduction points mentioned in item 1 are deduction points for rapid acceleration; The driving behavior deduction points mentioned in item 2 are deduction points for sudden deceleration; Points will be deducted for sharp turns in the third driving behavior; In step 5, the actual energy consumption score per 100 kilometers per day is calculated; the specific process is: G=-b×9.096×(e 8 ×(g-N) / N -1) / 100g-N>0 G=0g-N=0 G=b×9.096×(e 8 ×(N-g) / N-1) / 100g-N<0 Among them, G represents the actual energy consumption score per 100 kilometers per day, b represents the maximum actual energy consumption per 100 kilometers per day, g represents the actual energy consumption per 100 kilometers per day of the driver, N represents the average actual energy consumption per 100 kilometers per day of all drivers, and the constant e is equal to 2.718; The energy consumption is fuel consumption; In step 6, the single-day driving behavior score is calculated; the specific process is: Single-day driving behavior score = 100 + single-day driving behavior deduction points + single-day actual energy consumption score per 100 kilometers; In step 7, the driving behavior score of the driver for the whole month is calculated; the specific process is: The driving behavior score for the entire month is the average of the total driving behavior scores for the month, and the total number of days in the month is the number of days the vehicle is actually driven.
Citation Information
Patent Citations
Driving behavior grade score calculation system
CN104346842A
Dangerous driving behavior early warning method, device, storage medium and server
CN107945311A
Method and device for recognizing bad driving behaviors
CN110723148A