Bus accelerator anti-misstep system and control method

Abstract

The application provides a bus accelerator anti-misoperation system, comprising: a vehicle state monitoring module, used for monitoring and acquiring vehicle front obstacle information and vehicle state information; an accelerator driving information acquisition module, used for acquiring accelerator driving pressure data; a data analysis processing module, used for analyzing the vehicle state information and the vehicle front obstacle information based on the driving pressure data, and generating different accelerator driving request response commands; and an anti-misoperation execution module, used for accepting or rejecting the accelerator driving request response according to the accelerator driving request response command. The application can effectively shield the driver's acceleration operation by controlling the accelerator pedal when the vehicle is detected to be in a low-speed driving or starting preparation state and there is an obstacle in front of the vehicle, thereby ensuring driving safety.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of safe driving of a bus, and in particular to a bus accelerator anti-misoperation system and control method. BACKGROUND

[0002] During driving, a bus is prone to misoperation of an accelerator due to complex urban road conditions and other factors, and thus traffic accidents may occur due to vehicles, pedestrians and other obstacles in the surrounding range of the bus; in order to avoid misoperation of the accelerator, a bus accelerator anti-misoperation system and control method are needed. SUMMARY

[0003] The present application provides a bus accelerator anti-misoperation system and control method, which can effectively shield the accelerator operation of a driver and ensure driving safety by controlling the accelerator pedal when an obstacle exists in front of the vehicle and the vehicle is detected to be in a low-speed driving or starting state.

[0004] The present application provides a bus accelerator anti-misoperation system, comprising:

[0005] A vehicle state monitoring module for monitoring and obtaining vehicle front obstacle information and vehicle state information;

[0006] An accelerator driving information acquisition module for acquiring driving pressure data of the accelerator;

[0007] A data analysis processing module for analyzing the vehicle state information and the vehicle front obstacle information based on the driving pressure data, and generating different accelerator driving request response commands;

[0008] An anti-misoperation execution module for accepting or rejecting the accelerator driving request response according to the accelerator driving request response command.

[0009] Further, the vehicle state monitoring module comprises a vehicle state monitoring unit, a vehicle front obstacle monitoring unit and a data sending unit.

[0010] The vehicle state monitoring unit is configured to monitor the forward speed of the vehicle, determine the vehicle state information according to a preset speed interval determination condition and a speed interval conversion condition; the vehicle state information comprises a starting state, a low-speed driving state, a normal-speed driving state and a deceleration pre-braking driving state.

[0011] The vehicle front obstacle monitoring unit is configured to acquire distance data between the vehicle and the front obstacle by using a camera and an ultrasonic sensor.

[0012] The data sending unit is configured to send the vehicle state information and the distance data between the vehicle and the front obstacle to the data analysis processing module.

[0013] Further, the throttle driving information acquisition module comprises:

[0014] The intelligent sensor is adopted to acquire the driving pressure value applied on the throttle pedal by the driver within a time period of 1 second, and the driving pressure value is taken as a first driving pressure value when the driving pressure value is greater than a preset driving pressure threshold value, and the first driving pressure value is sent to the data analysis processing module.

[0015] Further, the data analysis processing module comprises a vehicle state analysis unit, a distance analysis unit and a command generation unit.

[0016] The vehicle state analysis processing unit is configured to generate a first analysis result when the first driving pressure value is received and the vehicle state information is in a normal speed driving state or a deceleration pre-braking driving state, and generate different commands for responding to the throttle driving request according to the first analysis result.

[0017] The distance analysis processing unit is configured to analyze the distance between the vehicle and the front obstacle based on a preset data analysis model when the first driving pressure value is received and the vehicle state information is in a starting state or a low speed driving state, obtain a second analysis result, and generate different commands for responding to the throttle driving request according to the second analysis result.

[0018] Further, the vehicle state analysis processing unit comprises:

[0019] The vehicle forward speed data in the normal speed driving state of the vehicle is monitored and acquired according to a preset period t.

[0020] If the average value of the vehicle forward speed in the period t, the period t+1 and the period t+2 is not lower than the average value of the vehicle forward speed in the period t-1, an accept command for responding to the throttle driving request is generated when the first driving pressure value is received.

[0021] If the average values of the vehicle forward speed in the period t-1, the period t, the period t+1 and the period t+2 show a decreasing trend, a reject command for responding to the throttle driving request is generated when the first driving pressure value is received.

[0022] Further, the establishment of the data analysis model comprises:

[0023] The collision accident severity evaluation value in the vehicle collision accident big data is acquired, and a first collision accident with a collision accident severity evaluation value greater than a preset evaluation threshold value is screened out.

[0024] Obtain vehicle and front obstacle distance data in a first collision accident, draw an accident frequency distribution curve based on the vehicle and front obstacle distance data, select the coordinates corresponding to the lowest point in the middle position of the accident frequency distribution curve as the reference distance, select the two highest points adjacent to the left and right of the lowest point as the reference lower limit distance and the reference upper limit distance, and set a distance interval according to the reference lower limit distance and the reference upper limit distance.

[0025] Generate a data analysis model based on the distance interval.

[0026] Further, the distance analysis processing unit comprises:

[0027] If the distance between the vehicle and the front obstacle is within the distance interval range, a rejection command for the response to the accelerator drive request is generated, and the driver is reminded through a pre-set warning reminder; when the distance between the vehicle and the front obstacle is greater than the reference upper limit distance, the rejection command for the response to the accelerator drive request is removed.

[0028] If the distance between the vehicle and the front obstacle is greater than the reference upper limit distance, an acceptance command for the response to the accelerator drive request is generated.

[0029] Further, it further comprises a vehicle distance early warning module in a low-speed driving state, which is used for real-time vehicle distance warning when the vehicle is in a low-speed driving state.

[0030] The vehicle distance early warning module comprises a vehicle distance monitoring unit, a vehicle distance sending unit and a vehicle distance reminding unit.

[0031] The vehicle distance monitoring unit is used for monitoring the distance between the vehicle and the front obstacle by using an ultrasonic sensor and a light wave radar.

[0032] The vehicle distance sending unit is used for sending the distance between the vehicle and the front obstacle to a bus driving management control platform, and generating a reminding command when the vehicle distance is less than a pre-set vehicle distance threshold.

[0033] The vehicle distance reminding unit is used for generating a reminding voice according to the reminding command, and remotely sending the reminding voice to the vehicle to remind the driver to drive safely.

[0034] The present application provides a kind of accelerator anti-misoperation control method for bus, comprising:

[0035] S1: monitoring and obtaining vehicle front obstacle information and vehicle state information;

[0036] S2: collecting the driving pressure data of accelerator;

[0037] S3: based on driving pressure data, analyze vehicle state information and vehicle front obstacle information, and generate different commands for the response to the accelerator drive request;

[0038] S4: according to the accelerator drive request response command, accepting or rejecting the accelerator drive request response.

[0039] Further, S5 is further included, reminding the driver of the misoperation, and the specific steps are:

[0040] S501: based on the historical operation habits of the driver and the experimental test driving data, trajectory data of the driver's foot moving from the brake to the accelerator is obtained;

[0041] S502: according to the trajectory data, the area range of the vehicle accelerator anti-misoperation area and the threshold distance from the foot to the accelerator pedal are determined;

[0042] S503: the movement data information of the driver's foot is obtained by using the distance sensor and the camera, when the movement data is located in the area range of the anti-misoperation area, and the distance from the foot to the accelerator pedal is less than the threshold distance, the alarm device is triggered to remind the anti-misoperation alarm; when the foot moves out of the area range of the anti-misoperation area, the reminder alarm is automatically released.

[0043] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be achieved and obtained by the structure particularly pointed out in the written description and the accompanying drawings.

[0044] The technical solutions of the present application will be further described in detail below by means of the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0045] The accompanying drawings are used to provide a further understanding of the present application, and constitute a part of the specification, together with the embodiments of the present application, to explain the present application, and do not constitute a limitation on the present application. In the drawings:

[0046] Figure 1 A schematic structural view of an accelerator anti-misoperation system for a bus of the present application;

[0047] Figure 2 A schematic structural view of a vehicle state monitoring module of an accelerator anti-misoperation system for a bus of the present application;

[0048] Figure 3 A schematic view of the steps of an accelerator anti-misoperation control method for a bus of the present application. DETAILED DESCRIPTION

[0049] The preferred embodiments of the present application will be described below in conjunction with the accompanying drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and do not limit the present application.

[0050] The application provides a bus accelerator anti-misoperation system, which comprises the following components as shown in Figure 1

[0051] A vehicle state monitoring module is configured to monitor and acquire vehicle front obstacle information and vehicle state information.

[0052] An accelerator driving information acquisition module is configured to acquire driving pressure data of the accelerator.

[0053] A data analysis processing module is configured to analyze the vehicle state information and the vehicle front obstacle information based on the driving pressure data, and generate different accelerator driving request response commands.

[0054] An anti-misoperation execution module is configured to accept or reject the accelerator driving request response according to the accelerator driving request response command.

[0055] The vehicle state monitoring module is configured to monitor and acquire vehicle front obstacle information and vehicle state information.

[0056] The accelerator driving information acquisition module is configured to acquire driving pressure data of the accelerator.

[0057] The data analysis processing module is configured to analyze the vehicle state information and the vehicle front obstacle information based on the driving pressure data, and generate different accelerator driving request response commands.

[0058] The anti-misoperation execution module is configured to accept or reject the accelerator driving request response according to the accelerator driving request response command.

[0059] The above technical solution has the following beneficial effects: the scheme provided in the embodiment can effectively shield the acceleration operation of the driver by controlling the accelerator pedal when the vehicle is detected to be in a low-speed driving or starting state and there is an obstacle in front of the vehicle, thereby ensuring driving safety.

[0060] In one embodiment, as shown in Figure 2 The vehicle state monitoring module comprises a vehicle state monitoring unit, a vehicle front obstacle monitoring unit and a data sending unit.

[0061] The vehicle state monitoring unit is configured to monitor the forward speed of the vehicle, determine the vehicle state information according to preset speed interval determination conditions and speed interval conversion conditions, and the vehicle state information comprises a starting state, a low-speed driving state, a normal-speed driving state and a deceleration pre-braking driving state.

[0062] The vehicle front obstacle monitoring unit is configured to acquire distance data between the vehicle and the front obstacle by using a camera and an ultrasonic sensor.

[0063] ​The data sending unit is configured to send the vehicle state information and the distance data between the vehicle and the front obstacle to the data analysis processing module.

[0064] The working principle of the technical solution is as follows: the vehicle state monitoring module includes a vehicle state monitoring unit, a vehicle front obstacle monitoring unit, and a data sending unit.

[0065] The vehicle state monitoring unit is configured to monitor the forward speed of the vehicle, determine the vehicle state information according to preset speed interval determination conditions and speed interval conversion conditions, and the vehicle state information includes a starting state, a low-speed driving state, a normal-speed driving state, and a deceleration pre-braking driving state.

[0066] The vehicle front obstacle monitoring unit is configured to acquire the distance data between the vehicle and the front obstacle by using a camera and an ultrasonic sensor.

[0067] The data sending unit is configured to send the vehicle state information and the distance data between the vehicle and the front obstacle to the data analysis processing module.

[0068] The beneficial effects of the technical solution are as follows: by monitoring the forward speed of the vehicle and the front obstacle information, the vehicle state information and the obstacle information can be effectively acquired by using the scheme provided in the embodiment.

[0069] In one embodiment, the accelerator driving information acquisition module includes:

[0070] An intelligent sensor is used to acquire the driving pressure value applied to the accelerator pedal by the driver within a 1-second time period, and when the driving pressure value is greater than a preset driving pressure threshold value, the driving pressure value is taken as a first driving pressure value, and the first driving pressure value is sent to the data analysis processing module.

[0071] The working principle of the technical solution is as follows: the accelerator driving information acquisition module includes:

[0072] An intelligent sensor is used to acquire the driving pressure value applied to the accelerator pedal by the driver within a 1-second time period, and when the driving pressure value is greater than a preset driving pressure threshold value, the driving pressure value is taken as a first driving pressure value, and the first driving pressure value is sent to the data analysis processing module.

[0073] The beneficial effects of the technical solution are as follows: by acquiring the pressure applied to the accelerator pedal by the driver, the pressure data of the accelerator applied by the driver can be effectively acquired by using the scheme provided in the embodiment, and a basis for data analysis processing is provided.

[0074] In one embodiment, the data analysis processing module includes a vehicle state analysis unit, a distance analysis unit, and a command generation unit.

[0075] The vehicle state analysis processing unit is configured to, when the first driving pressure value is received, generate a first analysis result if the vehicle state information is a normal speed driving state or a deceleration pre-braking driving state, and generate different commands for responding to a throttle driving request according to the first analysis result.

[0076] The distance analysis processing unit is configured to, when the first driving pressure value is received and the vehicle state information is a starting state or a low speed driving state, analyze a distance between the vehicle and a front obstacle based on a preset data analysis model to obtain a second analysis result, and generate different commands for responding to a throttle driving request according to the second analysis result.

[0077] The working principle of the technical solution is that the data analysis processing module includes a vehicle state analysis unit, a distance analysis unit, and a command generation unit.

[0078] The vehicle state analysis processing unit is configured to, when the first driving pressure value is received, generate a first analysis result if the vehicle state information is a normal speed driving state or a deceleration pre-braking driving state, and generate different commands for responding to a throttle driving request according to the first analysis result.

[0079] The distance analysis processing unit is configured to, when the first driving pressure value is received and the vehicle state information is a starting state or a low speed driving state, analyze a distance between the vehicle and a front obstacle based on a preset data analysis model to obtain a second analysis result, and generate different commands for responding to a throttle driving request according to the second analysis result.

[0080] The beneficial effects of the technical solution are that, according to different driving states of the vehicle speed, different commands for responding to a throttle driving request can be generated according to different driving pressure values received, so as to achieve the purpose of controlling the throttle.

[0081] In one embodiment, the vehicle state analysis processing unit includes:

[0082] The vehicle forward speed data in the normal speed driving state of the vehicle is monitored and acquired according to a preset period t.

[0083] If the average value of the vehicle forward speed in the period t, the period t+1, and the period t+2 is not lower than the average value of the vehicle forward speed in the period t-1, an acceptance command for responding to a throttle driving request is generated when the first driving pressure value is received.

[0084] If the average value of the vehicle forward speed in the period t-1, the period t, the period t+1 and the period t+2 is in a decreasing trend, when the first driving pressure value is received, a rejection command for the response of the throttle driving request is generated.

[0085] The working principle of the technical solution is that the vehicle state analysis processing unit comprises:

[0086] According to the preset period t, the vehicle forward speed data in the normal speed driving state of the vehicle is monitored and acquired;

[0087] If the average value of the vehicle forward speed in the period t, the period t+1 and the period t+2 is not lower than the average value of the vehicle forward speed in the period t-1, when the first driving pressure value is received, an acceptance command for the response of the throttle driving request is generated;

[0088] If the average value of the vehicle forward speed in the period t-1, the period t, the period t+1 and the period t+2 is in a decreasing trend, when the first driving pressure value is received, a rejection command for the response of the throttle driving request is generated.

[0089] The beneficial effects of the technical solution are that the scheme provided in the embodiment generates an acceptance or rejection command for the response of the throttle driving request according to different vehicle states in the acceleration stage or the deceleration stage of the vehicle, so as to ensure the control of the throttle in different vehicle driving states.

[0090] In one embodiment, the establishment of the data analysis model comprises:

[0091] The collision accident severity evaluation value in the vehicle collision accident big data is acquired, and a first collision accident with a collision accident severity evaluation value greater than a preset evaluation threshold is screened out;

[0092] The distance data between the vehicle and the front obstacle in the first collision accident is acquired, the accident occurrence frequency distribution curve graph is drawn based on the distance data between the vehicle and the front obstacle, the coordinates corresponding to the lowest point in the middle position of the accident occurrence frequency distribution curve graph are selected as the reference distance, the two highest points adjacent to the left and right of the lowest point are selected as the reference lower limit distance and the reference upper limit distance, and the distance interval is set according to the reference lower limit distance and the reference upper limit distance.

[0093] The data analysis model is generated based on the distance interval.

[0094] The working principle of the technical solution is that the establishment of the data analysis model comprises:

[0095] The collision accident severity evaluation value in the vehicle collision accident big data is acquired, and a first collision accident with a collision accident severity evaluation value greater than a preset evaluation threshold is screened out;

[0096] Obtain vehicle and front obstacle distance data in a first collision accident, draw an accident frequency distribution curve based on the vehicle and front obstacle distance data, select a coordinate corresponding to a lowest point in a middle position of the accident frequency distribution curve as a reference distance, select two highest points adjacent to the left and right of the lowest point as a reference lower limit distance and a reference upper limit distance, and set a distance interval according to the reference lower limit distance and the reference upper limit distance.

[0097] Generate a data analysis model based on the distance interval.

[0098] The beneficial effects of the above technical solutions are as follows: the scheme provided in the embodiment is used, the distance interval for implementing the anti-misstep is obtained and determined by combining historical collision accident big data, and the scientific rationality of the distance interval setting can be effectively ensured.

[0099] In one embodiment, the distance analysis processing unit includes:

[0100] If the vehicle and front obstacle distance is within the distance interval range, a rejection command for responding to the throttle drive request is generated, and the driver is reminded through a preset early warning reminder; when the vehicle and front obstacle distance is greater than the reference upper limit distance, the rejection command for responding to the throttle drive request is released.

[0101] If the vehicle and front obstacle distance is greater than the reference upper limit distance, an acceptance command for responding to the throttle drive request is generated.

[0102] The working principle of the above technical solutions is as follows: the distance analysis processing unit includes:

[0103] If the vehicle and front obstacle distance is within the distance interval range, a rejection command for responding to the throttle drive request is generated, and the driver is reminded through a preset early warning reminder; when the vehicle and front obstacle distance is greater than the reference upper limit distance, the rejection command for responding to the throttle drive request is released.

[0104] If the vehicle and front obstacle distance is greater than the reference upper limit distance, an acceptance command for responding to the throttle drive request is generated.

[0105] The beneficial effects of the above technical solutions are as follows: the scheme provided in the embodiment is used, whether to respond to the throttle drive request or release is determined according to the distance interval and the reference upper limit distance, and the analysis processing effect can be improved.

[0106] In one embodiment, it further includes a vehicle distance early warning module in a low-speed driving state, which is used for real-time vehicle distance warning when the vehicle is in a low-speed driving state.

[0107] The vehicle distance early warning module includes a vehicle distance monitoring unit, a vehicle distance sending unit, and a vehicle distance reminding unit.

[0108] The vehicle distance monitoring unit is configured to monitor the distance between the vehicle and the front obstacle by using an ultrasonic sensor and a light wave radar.

[0109] The vehicle distance sending unit is configured to send the distance between the vehicle and the front obstacle to the bus driving management control platform, and generate a reminder command when the distance is less than a preset distance threshold.

[0110] The vehicle distance reminding unit is configured to generate a reminder voice according to the reminder command, and remotely send the reminder voice to the vehicle to remind the driver to drive safely.

[0111] The working principle of the above technical solution is that the vehicle distance warning module in the low-speed driving state is further included, which is configured to perform real-time vehicle distance warning when the vehicle is in low-speed driving.

[0112] The vehicle distance warning module includes a vehicle distance monitoring unit, a vehicle distance sending unit, and a vehicle distance reminding unit.

[0113] The vehicle distance monitoring unit is configured to monitor the distance between the vehicle and the front obstacle by using an ultrasonic sensor and a light wave radar.

[0114] The vehicle distance sending unit is configured to send the distance between the vehicle and the front obstacle to the bus driving management control platform, and generate a reminder command when the distance is less than a preset distance threshold.

[0115] The vehicle distance reminding unit is configured to generate a reminder voice according to the reminder command, and remotely send the reminder voice to the vehicle to remind the driver to drive safely.

[0116] The beneficial effects of the above technical solution are that by using the scheme provided in the embodiment, the vehicle distance warning in the low-speed driving state can timely warn and remind when the vehicle distance is within the range of the accelerator anti-mispressing distance, which can effectively help the driver to drive safely.

[0117] The present application provides an accelerator anti-mispressing control method for a bus, as shown in Figure 3 The method comprises the following steps:

[0118] S1: monitoring and acquiring vehicle front obstacle information and vehicle state information;

[0119] S2: collecting driving pressure data of the accelerator;

[0120] S3: based on the driving pressure data, analyzing the vehicle state information and the vehicle front obstacle information, and generating different commands for responding to the accelerator driving request;

[0121] S4: according to the accelerator driving request response command, accepting or rejecting the accelerator driving request response.

[0122] The working principle of the technical solution is as follows:

[0123] S1: monitoring and acquiring vehicle front obstacle information and vehicle state information;

[0124] S2: collecting driving pressure data of the accelerator;

[0125] S3: based on the driving pressure data, analyzing the vehicle state information and the vehicle front obstacle information, and generating different accelerator driving request response commands;

[0126] S4: according to the accelerator driving request response command, accepting or rejecting the accelerator driving request response.

[0127] The beneficial effects of the technical solution are as follows: by using the scheme provided in the embodiment, when it is detected that the vehicle is in a low-speed driving or starting state, and there is an obstacle in front of the vehicle, the driver's acceleration operation can be effectively shielded by controlling the accelerator pedal, and driving safety can be ensured.

[0128] In one embodiment, S5 is further included to remind the driver of the misstep operation, and the specific steps are as follows:

[0129] S501: based on the historical operation habits of the driver and the experimental test driving data, trajectory data of the driver's foot moving from the brake to the accelerator and then stepping on the accelerator is acquired;

[0130] S502: according to the trajectory data, the area range of the vehicle accelerator misstep prevention area and the threshold distance from the foot to the accelerator pedal are determined;

[0131] S503: the movement data information of the driver's foot is acquired by using a distance sensor and a camera, when the movement data is located in the area range of the misstep prevention area, and the distance from the foot to the accelerator pedal is less than the threshold distance, an alarm device is triggered to perform misstep prevention reminding alarm; when the foot moves out of the area range of the misstep prevention area, the reminding alarm is automatically released.

[0132] The working principle of the technical solution is as follows: the driver's misstep operation is reminded, and the specific steps are as follows:

[0133] S501: based on the historical operation habits of the driver and the experimental test driving data, trajectory data of the driver's foot moving from the brake to the accelerator and then stepping on the accelerator is acquired;

[0134] S502: according to the trajectory data, the area range of the vehicle accelerator misstep prevention area and the threshold distance from the foot to the accelerator pedal are determined;

[0135] S503: acquiring the foot movement data information of the driver by using the distance sensor and the camera, triggering the alarm device to perform the anti-mispressing reminding alarm when the movement data is located in the area range of the anti-mispressing area and the distance from the foot bottom to the accelerator pedal is less than the threshold distance; and automatically releasing the reminding alarm when the foot moves out of the area range of the anti-mispressing area.

[0136] In order to further identify the movement behavior of the foot, it is determined that the driver has completed the movement behavior of the foot at a certain moment; in this embodiment, a wireless signal channel state information monitoring terminal is established in the cab to acquire the change of the channel state information of the real-time radio signal, and the change information is processed by a machine learning method to detect the movement behavior of the foot; the movement behavior of the foot affects the change of the radio signal, and the change process is reflected by the cumulative variance of the channel state information of the radio signal, and the calculation formula is:

[0137]

[0138] In the above formula, M α represents the cumulative variance of the channel state information, represents the first measurement value of the state information of the jth subchannel at the alpha moment, represents the second measurement value of the state information of the jth subchannel at the alpha moment, represents the rth measurement value of the state information of the jth subchannel at the alpha moment, Q represents the total number of channels, and j represents the jth channel, represents the measurement average value of the state information of the jth subchannel at the alpha moment corresponding to, and r is the number of measurements;

[0139] M α The value of M α suddenly rises and then returns to the original level; therefore, the value of M α is reflected on the waveform graph, when a wave crest appears on the waveform graph, the time corresponding to the position of the wave crest is the time when the movement behavior of the foot occurs, and at this moment, the driver can be timely and accurately reminded to avoid mispressing the accelerator by sending a pre-warning reminder.

[0140] The beneficial effects of the above technical solutions are that: by using the scheme provided in this embodiment, the movement trajectory of the foot of the driver is monitored and timely reminders are given, the moment when the movement behavior of the foot occurs is monitored by using the wireless signal monitoring method, and the reminding information is sent, so that the driver can be timely and accurately reminded to perform safe driving operation.

[0141] Obviously, many modifications and variations of the present application are possible in light of the above teachings. It is, therefore, to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A bus accelerator anti-accidental stepping system, characterized in that: include: Vehicle status monitoring module, used to monitor and obtain information about obstacles in front of the vehicle and vehicle status information; Throttle drive information acquisition module, used to collect throttle drive pressure data; A data analysis and processing module is used to analyze vehicle status information and information about obstacles in front of the vehicle based on the driving pressure data, and generate different commands in response to throttle driving requests; The anti-accidental-stepping execution module is used to accept or reject the throttle drive request response according to the throttle drive request response command; The bus throttle anti-accidental stepping system also performs the following operations: Remind the driver of the accidental operation, specifically: Based on the driver's historical operating habits and experimental test driving data, the trajectory data of the driver's foot moving from the brake to the accelerator and then pressing the accelerator is obtained; Determining, based on the trajectory data, a range of the vehicle's accelerator anti-accidental-stepping area and a threshold distance from the sole of the foot to the accelerator pedal; The driver's foot movement data is acquired using a distance sensor and a camera. When the movement data is within the anti-accidental stepping area and the distance from the sole of the foot to the accelerator pedal is less than a threshold distance, the alarm device is triggered to sound an anti-accidental stepping warning alarm. When the foot moves out of the anti-accidental stepping area, the warning alarm is automatically released. A wireless signal channel status information monitoring terminal is established in the cab to obtain real-time changes in the channel status information of the radio signal. This information is processed through machine learning methods to detect foot movement behavior. The movement of the foot affects the change of the radio signal. The cumulative variance of the channel state information of the radio signal reflects the above change process, which is calculated as follows: In the above formula, M α represents the cumulative variance of the channel state information, represents the first measurement value of the state information of the j-th subchannel at the α-th time, The second measurement value of the state information of the j-th subchannel at time α is represented as follows: The rth measurement value of the state information of the jth subchannel at the αth time, Q represents the total number of channels, j represents the jth channel, represents the average measurement value of the state information of the corresponding j-th subchannel at time α, where r is the number of measurements; M α The value of will change due to the appearance of foot movement behavior. When the foot movement behavior appears, M α The value of M suddenly increases and then returns to its original level; α The value is reflected on the waveform. When a peak appears on the waveform, the time corresponding to the peak is the time when the foot movement occurs. At this moment, by sending a warning reminder to the driver, the driver can be reminded in a timely and accurate manner to avoid accidentally stepping on the accelerator.

2. A bus accelerator anti-accidental stepping system according to claim 1, characterized in that: The vehicle status monitoring module includes a vehicle status monitoring unit, a vehicle front obstacle monitoring unit, and a data sending unit; The vehicle state monitoring unit is used to monitor the forward speed of the vehicle and determine vehicle state information based on preset speed interval determination conditions and speed interval transition conditions; the vehicle state information includes starting state, low-speed driving state, normal speed driving state, and deceleration pre-braking driving state; The vehicle front obstacle monitoring unit is used to obtain distance data between the vehicle and the front obstacle using a camera and an ultrasonic sensor; The data sending unit is used to send vehicle status information and distance data between the vehicle and the obstacle in front to the data analysis and processing module.

3. The bus accelerator anti-accidental stepping system according to claim 2, characterized in that: The throttle drive information acquisition module includes: An intelligent sensor is used to obtain in real time the driving pressure value applied by the driver to the accelerator pedal within a 1-second time period. When the driving pressure value is greater than a preset driving pressure threshold, the driving pressure value is used as the first driving pressure value; and the first driving pressure value is sent to the data analysis and processing module.

4. The bus accelerator anti-accidental stepping system according to claim 3, characterized in that: The data analysis and processing module includes a vehicle status analysis unit, a distance analysis unit, and a command generation unit; The vehicle state analysis processing unit is configured to generate a first analysis result when receiving the first driving pressure value if the vehicle state information is a normal speed driving state or a deceleration pre-braking driving state; generating different commands for responding to the throttle drive request according to the first analysis result; The distance analysis processing unit is used to analyze the distance between the vehicle and the obstacle ahead based on a preset data analysis model when a first driving pressure value is received and the vehicle's status information is a starting state or a low-speed driving state, and obtain a second analysis result; and generate different commands to respond to the throttle drive request based on the second analysis result.

5. The bus accelerator anti-accidental stepping system according to claim 4, characterized in that: The vehicle state analysis and processing unit includes: According to a preset period t, the vehicle forward speed data of the vehicle is monitored and obtained when the vehicle is in a normal speed driving state; If the average values ​​of the vehicle's forward speeds in period t, period t+1, and period t+2 are not lower than the average value of the vehicle's forward speed in period t-1, then when the first driving pressure value is received, an acceptance command in response to the throttle driving request is generated; If the average value of the vehicle forward speed in period t-1, period t, period t+1, and period t+2 shows a decreasing trend, when the first driving pressure value is received, a rejection command for responding to the throttle driving request is generated.

6. The bus accelerator anti-accidental stepping system according to claim 4, characterized in that: The establishment of the data analysis model includes: Obtaining a collision accident severity assessment value from the vehicle collision accident big data, and screening out a first collision accident whose collision accident severity assessment value is greater than a preset assessment threshold; Obtain the distance data between the vehicle and the front obstacle in the first collision accident, draw an accident frequency distribution curve based on the distance data between the vehicle and the front obstacle, select the coordinates corresponding to the lowest point in the middle position of the accident frequency distribution curve as the reference distance; select the two highest points adjacent to the lowest point on the left and right as the reference lower limit distance and reference upper limit distance, respectively, and set the distance interval based on the reference lower limit distance and reference upper limit distance; Generate data analysis models based on distance intervals.

7. The bus accelerator anti-accidental stepping system according to claim 6, characterized in that: The distance analysis processing unit includes: If the distance between the vehicle and the obstacle ahead is within the distance interval, a rejection command for the throttle drive request response is generated; and a preset warning reminder is used to alert the driver; when the distance between the vehicle and the obstacle ahead is greater than the reference upper limit distance, the rejection command for the throttle drive request response is released; If the distance between the vehicle and the obstacle ahead is greater than the reference upper limit distance, an acceptance command for responding to the accelerator drive request is generated.

8. The bus accelerator anti-accidental stepping system according to claim 1, characterized in that: It also includes a vehicle distance warning module in low-speed driving state, which is used to provide real-time vehicle distance warning when the vehicle is driving at low speed; The vehicle distance warning module includes a vehicle distance monitoring unit, a vehicle distance sending unit, and a vehicle distance reminder unit; The vehicle distance monitoring unit is used to monitor the distance between the vehicle and the obstacle ahead using ultrasonic sensors and light wave radar; The vehicle distance sending unit is used to send the distance between the vehicle and the obstacle in front to the bus travel management control platform, and generate a reminder command when the vehicle distance is less than a preset vehicle distance threshold; The vehicle distance reminder unit is used to generate a reminder voice according to the reminder command, and remotely send it to the vehicle to remind the driver to drive safely.

9. A bus accelerator anti-accidental stepping control method, characterized in that: include: S1: Monitor and obtain information about obstacles in front of the vehicle and vehicle status; S2: collects throttle driving pressure data; S3: Based on the driving pressure data, the vehicle status information and the obstacle information in front of the vehicle are analyzed to generate different commands in response to the throttle driving request; S4: accepting or rejecting the throttle drive request response according to the throttle drive request response command; It also includes S5, which reminds the driver of the accidental operation of the pedal. The specific steps are as follows: S501: Based on the driver's historical operating habits and experimental test driving data, obtain trajectory data of the driver's foot moving from the brake to the accelerator and then pressing the accelerator; S502: Determine, based on the trajectory data, the range of the vehicle's accelerator anti-accidental-stepping area and a threshold distance from the sole of the foot to the accelerator pedal; S503: Using a distance sensor and a camera to obtain foot movement data information of the driver, when the movement data is within the range of the accidental stepping prevention area and the distance between the sole of the foot and the accelerator pedal is less than a threshold distance, triggering an alarm device to issue an accidental stepping prevention warning alarm; when the foot moves out of the accidental stepping prevention area, the warning alarm is automatically released; A wireless signal channel status information monitoring terminal is established in the cab to obtain real-time changes in the channel status information of the radio signal. This information is processed through machine learning methods to detect foot movement behavior. The movement of the foot affects the change of the radio signal. The cumulative variance of the channel state information of the radio signal reflects the above change process, which is calculated as follows: In the above formula, M α represents the cumulative variance of the channel state information, represents the first measurement value of the state information of the j-th subchannel at the α-th time, The second measurement value of the state information of the j-th subchannel at time α is represented as follows: The rth measurement value of the state information of the jth subchannel at the αth time, Q represents the total number of channels, j represents the jth channel, represents the average measurement value of the state information of the corresponding j-th subchannel at time α, where r is the number of measurements; M α The value of will change due to the appearance of foot movement behavior. When the foot movement behavior appears, M α The value of M suddenly increases and then returns to its original level; α The value is reflected on the waveform. When a peak appears on the waveform, the time corresponding to the peak is the time when the foot movement occurs. At this moment, by sending a warning reminder to the driver, the driver can be reminded in a timely and accurate manner to avoid accidentally stepping on the accelerator.

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