Road rage modulation method, device, computer equipment and readable storage medium

Abstract

The application relates to a road rage adjustment method, device, computer equipment and readable storage medium. The method comprises the following steps: acquiring road environment information and physiological behavior information of a driver; determining a candidate road rage level of the driver according to the physiological behavior information; evaluating a current driving environment according to the road environment information; adjusting the candidate road rage level according to the driving environment to determine a target road rage level; and starting a corresponding road rage intervention strategy according to the target road rage level to calm the driver's emotion. The method can relieve the driver's road rage emotion and improve driving safety.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, apparatus, computer device, and readable storage medium for managing road rage. Background Technology

[0002] With the development of production and daily life, there are more and more vehicles on the road, and traffic conditions are becoming increasingly complex. Many drivers suffer from road rage. Road rage refers to strong negative emotions such as anger, anxiety, and irritability that drivers experience while driving due to factors such as traffic congestion and the behavior of other drivers.

[0003] When drivers are in road rage, their loss of emotional control can seriously compromise driving safety. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, device, computer equipment, and readable storage medium for managing road rage that can alleviate drivers' road rage and improve driving safety, in order to address the aforementioned technical problems.

[0005] Firstly, this application provides a method for managing road rage, the method comprising:

[0006] Acquire road environment information and driver physiological behavior information;

[0007] The driver's candidate road rage level is determined based on the aforementioned physiological and behavioral information;

[0008] Assess the current driving environment based on the road environment information;

[0009] The candidate road rage levels are adjusted based on the driving environment to determine the target road rage level;

[0010] Activate the corresponding road rage intervention strategy based on the target road rage level to calm the driver's emotions.

[0011] In one embodiment, determining the driver's candidate road rage level based on the physiological behavior information includes:

[0012] The total emotion score is calculated based on the physiological behavior information and the preset emotion judgment rules;

[0013] The candidate road rage level is determined based on the total emotion score and a preset emotion level threshold.

[0014] In one embodiment, the physiological behavioral information includes at least one of facial expression information, biometric information, voice information, and behavioral information;

[0015] The step of calculating the total emotion score based on the physiological behavioral information and preset emotion judgment rules includes:

[0016] A first emotion score is obtained based on the facial expression information and a preset first emotion determination rule;

[0017] The second emotion score is obtained based on the biological information and the preset second emotion determination rule;

[0018] The third emotion score is obtained based on the voice information and the preset third emotion determination rule;

[0019] The fourth emotion score is obtained based on the behavioral information and the preset fourth emotion determination rule;

[0020] The total emotion score is obtained based on at least one of the first emotion score, the second emotion score, the third emotion score, and the fourth emotion score.

[0021] In one embodiment, the emotion level threshold includes a first threshold, a second threshold, and a third threshold, and the candidate road rage levels include non-road rage, mild road rage, moderate road rage, and severe road rage, wherein the first threshold is less than the second threshold, and the second threshold is less than the third threshold;

[0022] The step of determining the candidate road rage level based on the total emotion score and a preset emotion level threshold includes:

[0023] If the total emotion score is less than the first threshold, the candidate road rage level is determined to be non-road rage.

[0024] If the total emotional score is greater than or equal to the first threshold and less than the second threshold, the candidate road rage level is determined to be mild road rage.

[0025] If the total emotional score is greater than or equal to the second threshold and less than the third threshold, the candidate road rage level is determined to be moderate road rage.

[0026] If the total emotional score is greater than or equal to the third threshold, the candidate road rage level is determined to be severe road rage.

[0027] In one embodiment, the driving environment includes normal driving environment and adverse driving environment, and both the candidate road rage level and the target road rage level include n levels of road rage, where n > 1; the step of adjusting the candidate road rage level according to the driving environment to determine the target road rage level includes:

[0028] When the driving environment is a normal driving environment and the candidate road rage level is level i, the target road rage level is determined to be level i-1, where 0 < i < n;

[0029] If the driving environment is a severe driving environment and the candidate road rage level is level i, then the target road rage level is determined to be level i+1.

[0030] When the driving environment is a normal driving environment and the candidate road rage level is level 0 road rage, the target road rage level is determined to be the candidate road rage level.

[0031] When the driving environment is a severe driving environment and the candidate road rage level is level n, the target road rage level is determined as the candidate road rage level.

[0032] In one embodiment, the target road rage level includes non-road rage, mild road rage, moderate road rage, and severe road rage, and the road rage intervention strategy includes a first intervention strategy, a second intervention strategy, and a third intervention strategy; the step of activating the corresponding road rage intervention strategy according to the target emotional level includes:

[0033] When the target road rage level is mild road rage, a first intervention strategy is activated; wherein, the first intervention strategy includes controlling the center console screen to switch to a first preset display style, and / or controlling the ambient lighting to switch to a preset lighting effect, and / or controlling the multimedia device to play a preset first type of music, and / or controlling the multimedia device to play a first type of prompt voice.

[0034] When the target road rage level is moderate road rage, a first intervention strategy and a second intervention strategy are activated; wherein, the second intervention strategy includes controlling the fragrance to release a preset scent, and / or controlling the multimedia device to play a second type of prompt voice;

[0035] When the target road rage level is severe road rage, a third intervention strategy is activated; wherein, the third intervention strategy includes controlling the vehicle to enter autonomous driving mode, and / or controlling the vehicle to automatically pull over to the side of the road, and / or controlling the center console screen to switch to a second preset display style, and / or controlling the multimedia device to play a third type of prompt voice.

[0036] Secondly, this application provides a road rage regulation device, the device comprising:

[0037] The information acquisition module is used to acquire real-time road environment information and driver physiological behavior information;

[0038] The first determining module is used to determine the driver's candidate road rage level based on the physiological behavior information;

[0039] The first assessment module is used to assess the current driving environment based on the road environment information.

[0040] The second determining module is used to adjust the candidate road rage levels according to the driving environment in order to determine the target road rage level.

[0041] The intervention module is used to activate corresponding road rage intervention strategies based on the target emotional level in order to calm the driver's emotions.

[0042] Thirdly, this application provides a computer device including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the road rage management method described in any of the above embodiments.

[0043] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the road rage management method described in any of the above embodiments.

[0044] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the road rage management method described in any of the above embodiments.

[0045] The aforementioned road rage mitigation method, device, computer equipment, and readable storage medium first acquire road environment information and driver physiological behavior information. Since the driver's physiological behavior information directly reflects the driver's emotional state, a preliminary candidate road rage level can be determined based on this information. Because the driving environment also influences the driver's emotions, this application assesses the current driving environment based on road environment information while evaluating the candidate road rage level, and adjusts the candidate road rage level accordingly to determine the target road rage level. Finally, a corresponding road rage intervention strategy is activated based on the target road rage level to soothe the driver's emotions. This road rage mitigation method can assess the driver's road rage level based on the driver's driving environment and actual physiological data, and can activate corresponding road rage intervention strategies, thereby alleviating road rage and improving driving safety. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 This is a flowchart illustrating a road rage management method in one embodiment;

[0048] Figure 2 This is a flowchart illustrating step S102 in one embodiment;

[0049] Figure 3 This is a flowchart illustrating step S201 in one embodiment;

[0050] Figure 4 This is a flowchart illustrating step S202 in one embodiment;

[0051] Figure 5 This is a flowchart illustrating step S104 in one embodiment;

[0052] Figure 6 This is a flowchart illustrating step S105 in one embodiment;

[0053] Figure 7 This is a structural block diagram of a road rage mitigation device in one embodiment;

[0054] Figure 8 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0056] In one exemplary embodiment, please refer to Figure 1 This application provides a method for regulating road rage, which includes steps S101 to S105. The following description uses the application of this method to a cockpit interaction system in a vehicle as an example.

[0057] S101: Obtain road environment information and driver physiological behavior information.

[0058] It is understandable that various types of sensors can be installed inside and outside the vehicle. For example, a heart rate sensor can be installed on the steering wheel to monitor the driver's heart rate information; image sensors can be installed both inside and outside the vehicle to collect the driver's facial expression information and the environmental information outside the vehicle, respectively; and sound sensors can also be installed inside the vehicle to monitor the driver's voice. Through these various types of sensors inside and outside the vehicle, the cockpit interaction system can obtain real-time information on the driver's physiological behavior and the road environment outside the vehicle.

[0059] S102: Determine the driver's candidate road rage level based on physiological and behavioral information.

[0060] In applications, after acquiring the driver's physiological behavior information, the cockpit interaction system can preprocess the physiological behavior information, such as performing data cleaning and formatting. Then, it can analyze the physiological behavior information based on the readability algorithm to preliminarily determine whether the driver is currently experiencing road rage and the degree of road rage.

[0061] S103: Assess the current driving environment based on road environment information.

[0062] While assessing the driver's candidate road rage level, the cockpit interaction system can also evaluate the current driving environment based on road environment information, that is, analyze the degree of influence of the driving environment on the driver's road rage.

[0063] S104: Adjust the candidate road rage levels according to the driving environment to determine the target road rage level.

[0064] Since the quality of the driving environment directly affects a driver's road rage, candidate road rage levels can be adjusted based on the driving environment to ultimately determine the driver's target road rage level.

[0065] S105: Activate the corresponding road rage intervention strategy based on the target road rage level to calm the driver's emotions.

[0066] Depending on the driver's determined road rage level, the cockpit interaction system will select and activate the corresponding road rage intervention strategy to alleviate the driver's road rage. For example, when the driver is in a state of mild road rage, soothing music can be played to relax the driver. When the driver is in a state of severe road rage, the system will activate the vehicle's driver assistance system, control the vehicle to enter autonomous driving mode or pull over to the side of the road to prevent the driver from causing a traffic accident due to excessive emotional agitation.

[0067] The aforementioned road rage mitigation method first acquires road environment information and driver physiological behavior information. Since driver physiological behavior information directly reflects the driver's emotional state, a preliminary candidate road rage level can be determined based on this information. Because the driving environment also influences the driver's emotions, this application assesses the current driving environment based on road environment information while evaluating the candidate road rage level, and adjusts the candidate road rage level accordingly to determine the target road rage level. Finally, based on the target road rage level, a corresponding road rage intervention strategy is activated to soothe the driver's emotions. This road rage mitigation method can assess the driver's road rage level based on the driving environment and actual physiological data, and can activate corresponding road rage intervention strategies, thereby alleviating road rage and improving driving safety.

[0068] In one exemplary embodiment, please refer to Figure 2 Step S102, determining the driver's candidate road rage level based on physiological behavior information, includes steps S201 and S202.

[0069] S201: Calculate the total emotion score based on physiological and behavioral information and preset emotion judgment rules.

[0070] Physiological behavioral information can include multiple types of information, such as facial expression information, biological information, voice information, and behavioral information. For each type of information, an emotion score can be calculated based on preset emotion judgment rules. Finally, the total emotion score is calculated by summing up the various emotion scores.

[0071] S202: Determine the candidate road rage level based on the total emotion score and the preset emotion level threshold.

[0072] After calculating the total emotion score, the candidate road rage level can be determined based on the total score for the time limit and the preset threshold values ​​for each emotion level.

[0073] In one exemplary embodiment, please refer to Figure 3 Step S201: Calculate the total emotion score based on physiological behavior information and preset emotion judgment rules, including steps S301 to S305.

[0074] S301: Obtain the first emotion score based on facial expression information and the preset first emotion judgment rule.

[0075] Understandably, the in-vehicle camera can monitor the driver's facial expressions in real time and transmit the facial expression information to the cockpit interaction system. The cockpit interaction system can then analyze the driver's level of anger based on the facial expression information using deep learning algorithms.

[0076] In one example, the cockpit interaction system can categorize facial expressions into four levels of anger: non-angry, slightly angry, moderately angry, and strongly angry. When the system detects a non-angry facial expression, the first emotion score is set to 0; when it detects a slightly angry facial expression, the first emotion score is set to 1; when it detects a moderately angry facial expression, the first emotion score is set to 2; and when it detects a strongly angry facial expression, the first emotion score is set to 3.

[0077] S302: Obtain the second emotion score based on biological information and preset second emotion determination rules.

[0078] The biometric information may include at least one of the driver's body temperature and heart rate information. A heart rate sensor may be installed in the steering wheel of the vehicle to monitor the driver's heart rate in real time. In addition, a body temperature sensor may be installed in the vehicle to monitor the driver's body temperature.

[0079] In one example, the biometric information may include the driver's body temperature. When the driver's body temperature decreases or remains unchanged, the second emotion score can be determined to be 0. When the driver's body temperature rises below a first temperature threshold, the second emotion score can be determined to be 1. The first temperature threshold can be 0.3°C. When the driver's body temperature rises above the first temperature threshold but not above the second temperature threshold, the second emotion score can be determined to be 2. The second temperature threshold can be 0.5°C. When the driver's body temperature rises above the second temperature threshold, the second emotion score can be determined to be 3.

[0080] In another example, the biometric information may include the driver's heart rate information. When the driver's heart rate is lower than a first heart rate threshold, the second emotion score can be determined to be 0 points. The first heart rate threshold can be 100 bpm. When the driver's heart rate is greater than or equal to the first heart rate threshold and less than the second heart rate threshold, the second emotion score can be determined to be 1 point. The second heart rate threshold can be 110 bpm. When the driver's heart rate is greater than or equal to the second heart rate threshold and less than the third heart rate threshold, the second emotion score can be determined to be 2 points. The third heart rate threshold can be 120 bpm. When the driver's heart rate is greater than or equal to the third heart rate threshold, the second emotion score can be determined to be 3 points.

[0081] Alternatively, the biometric information can include the driver's body temperature and heart rate information simultaneously. The cockpit interaction system can determine the scores corresponding to the body temperature information and the heart rate information respectively based on the body temperature information and the heart rate information, and then sum them up to calculate the second emotion score.

[0082] S303: Obtain the third emotion score based on voice information and preset third emotion determination rules.

[0083] In the application, the vehicle is also equipped with sound sensors that monitor the driver's voice and send the voice information to the cockpit interaction system, which can then recognize the voice content. In one example, when no voice information is detected, the third emotion score is determined to be 0; when voice is detected but the voice content does not contain any preset profanity, the third emotion score is determined to be 1; when voice is detected and the voice content contains a small amount of profanity, the third emotion score is determined to be 2; and when voice is detected and the voice content contains a large amount of profanity, the third emotion score is determined to be 3.

[0084] S304: Obtain the fourth emotion score based on behavioral information and the preset fourth emotion judgment rules.

[0085] Specifically, behavioral information refers to the driver's aggressive driving behaviors, such as rapid acceleration, rapid deceleration, sharp turns, and frequent honking. In one example, when the driver does not engage in aggressive driving behavior, the fourth emotion score can be determined to be 0 points; when the driver engages in one aggressive driving behavior, the fourth emotion score can be determined to be 1 point; when the driver engages in two aggressive driving behaviors, the fourth emotion score can be determined to be 2 points; and when the driver engages in three or more aggressive driving behaviors, the fourth emotion score can be determined to be 3 points.

[0086] S305: The total emotion score is obtained based on at least one of the first emotion score, the second emotion score, the third emotion score, and the fourth emotion score.

[0087] After calculating the scores for each emotion, the scores for the first emotion, the second emotion, the third emotion, and the fourth emotion can be combined to calculate the total emotion score.

[0088] In an exemplary embodiment, the emotion level thresholds include a first threshold, a second threshold, and a third threshold; candidate road rage levels include non-road rage, mild road rage, moderate road rage, and severe road rage; the first threshold is less than the second threshold, and the second threshold is less than the third threshold. See also... Figure 4 Step S202, determine the candidate road rage level based on the total emotion score and the preset emotion level threshold, including steps S401 to S404.

[0089] S401: If the total emotion score is less than the first threshold, determine the candidate road rage level as non-road rage.

[0090] As can be seen from the above example, the total emotion score is directly proportional to the severity of the driver's current road rage. If the total emotion score is less than the first threshold, it indicates that the driver may not be experiencing road rage.

[0091] S402: If the total emotion score is greater than or equal to the first threshold and less than the second threshold, the candidate road rage level is determined to be mild road rage.

[0092] When the total emotional score is greater than or equal to the first threshold and less than the second threshold, it indicates that the driver may have mild road rage. For example, the first threshold can be 3 points and the second threshold can be 8 points.

[0093] S403: If the total emotional score is greater than or equal to the second threshold and less than the third threshold, the candidate road rage level is determined to be moderate road rage.

[0094] The third threshold can be 13 points. When the total emotional score is between the second and third thresholds, it indicates that the driver's current road rage is relatively severe.

[0095] S404: If the total emotion score is greater than or equal to the third threshold, the candidate road rage level is determined to be severe road rage.

[0096] When the total emotional score is greater than or equal to the third threshold, it indicates that the driver's current road rage is very serious, with continuous aggressive driving behavior, excessive heart rate, etc., and continued driving may cause serious traffic accidents.

[0097] In one exemplary embodiment, the driving environment includes normal driving conditions and adverse driving conditions, and both the candidate road rage level and the target road rage level include n levels of road rage, where n > 1. See also... Figure 5 Step S104 involves adjusting the candidate road rage levels based on the driving environment to determine the target road rage level, including steps S501 to S504.

[0098] S501: Under normal driving conditions and with the candidate road rage level being the i-th level, determine the target road rage level as the (i-1)-th level, where 0 < i < n.

[0099] The candidate road rage levels include non-road rage, mild road rage, moderate road rage, and severe road rage. Non-road rage corresponds to level 0 road rage, mild road rage corresponds to level 1 road rage, moderate road rage corresponds to level 2 road rage, and severe road rage corresponds to level 3 road rage.

[0100] When the cockpit interaction system assesses the current driving environment as normal based on road environment information, it indicates that the driver's temporary road rage may be caused by adverse traffic phenomena such as overtaking or pedestrians running red lights. The road environment will soon return to normal, and the driver's emotions will also quickly return to calm. Therefore, the candidate road rage level can be reduced by one level at this time.

[0101] S502: When the driving environment is a harsh driving environment and the candidate road rage level is level i, determine the target road rage level as level i+1.

[0102] When the cockpit interaction system assesses the current driving environment as a severe driving environment based on road environment information, it indicates that the driver may be in a traffic environment with severe road congestion. Since the severe road congestion cannot be cleared in time, the driver's road rage level will also escalate and worsen with the duration of the road congestion. Therefore, the candidate road rage level can be directly increased by one level at this time.

[0103] S503: Under normal driving conditions and with the candidate road rage level being level 0, determine the target road rage level as the candidate road rage level.

[0104] It is understandable that, under normal driving conditions and when the driver is not in a state of road rage, the target road rage will naturally be non-road rage.

[0105] S504: When the driving environment is a harsh driving environment and the candidate road rage level is level n, determine the target road rage level as the candidate road rage level.

[0106] In adverse driving conditions and when the driver is in a state of severe road rage, since the candidate road rage level is already at its highest level, the target road rage level can only be set as the candidate road rage level.

[0107] In one exemplary embodiment, the target road rage level includes non-road rage, mild road rage, moderate road rage, and severe road rage, and the road rage intervention strategies include a first intervention strategy, a second intervention strategy, and a third intervention strategy; please refer to Figure 6 Step S105: Activate the corresponding road rage intervention strategy according to the target emotional level, including steps S601 to S603.

[0108] S601: If the target road rage level is mild road rage, activate the first intervention strategy.

[0109] In the application, the first intervention strategy may include controlling the center console screen to switch to a first preset display style, and / or controlling the ambient lighting to switch to a preset lighting effect, and / or controlling the multimedia device to play a preset first type of music, and / or controlling the multimedia device to play a first type of prompt voice. When the driver is experiencing mild road rage, a soothing atmosphere can be created for the driver by controlling the center console screen, ambient lighting, and multimedia device to relax the driver. Additionally, the multimedia device can output a first type of prompt voice, such as "Drive carefully," to remind the driver to pay attention to traffic safety.

[0110] S602: When the target road rage level is moderate road rage, activate the first intervention strategy and the second intervention strategy.

[0111] The second intervention strategy includes controlling the release of a preset scent by the fragrance, and / or controlling the playback of a second type of prompt voice by the multimedia device.

[0112] In this embodiment, when the driver is in a state of mild road rage, the fragrance can be controlled to release a preset scent to further create a soothing atmosphere, and the multimedia device can be controlled to play a more warning voice, such as "There are thousands of roads, but safety is the first priority".

[0113] S603: When the target road rage level is severe road rage, activate the third intervention strategy.

[0114] The third intervention strategy includes controlling the vehicle to enter autonomous driving mode, and / or controlling the vehicle to automatically pull over to the side of the road, and / or controlling the center console screen to switch to the second preset display style, and / or controlling the multimedia device to play the third type of prompt voice.

[0115] When a driver is experiencing severe road rage, the cockpit interaction system can intervene to control the driver assistance system, maximizing the accuracy of vehicle sensor detection, stabilizing the vehicle's posture, and, if the vehicle is equipped with autonomous driving capabilities, controlling it to enter autonomous driving mode to prevent the driver from losing control and causing a traffic accident due to excessive emotions. Additionally, the cockpit interaction system can determine whether the current environment meets the conditions for parallel parking. For example, if the vehicle is traveling on a highway, the conditions for parallel parking are not met, and the cockpit interaction system can only intervene by controlling the driver assistance system to maximize the accuracy of vehicle sensor detection and stabilize the vehicle's posture. If the vehicle is traveling on a non-congested rural road, the cockpit interaction system can control the driver assistance system to automatically pull the vehicle to the side of the road.

[0116] After the driver assistance system intervenes, the center console screen can switch to a second preset display style. This second preset style features more warning-oriented images than the first preset style, and the multimedia device can play a third type of warning voice prompt to remind the driver to pay attention to traffic safety. Additionally, the multimedia device can play guided voice prompts instructing the driver to practice deep breathing to calm their emotions. Alternatively, the multimedia device can play preset soothing music to relax the driver.

[0117] In another embodiment, the road rage regulation method of this application further includes receiving feedback information from the driver, such as determining whether the driver's road rage has been alleviated based on the driver's physiological behavior information after the road rage intervention strategy is activated.

[0118] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0119] Based on the same inventive concept, this application also provides a road rage mitigation device for implementing the road rage mitigation method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of one or more road rage mitigation device embodiments provided below can be found in the limitations of the road rage mitigation method described above, and will not be repeated here.

[0120] In one exemplary embodiment, please refer to Figure 7 This application provides a road rage regulation device, which includes: an information acquisition module 701, a first determination module 702, a first assessment module 703, a second determination module 704, and an intervention module 705.

[0121] The information acquisition module 701 is used to acquire road environment information and driver physiological behavior information in real time.

[0122] The first determining module 702 is used to determine the driver's candidate road rage level based on the physiological behavior information.

[0123] The first assessment module 703 is used to assess the current driving environment based on the road environment information.

[0124] The second determining module 704 is used to adjust the candidate road rage levels according to the driving environment in order to determine the target road rage level.

[0125] Intervention module 705 is used to activate the corresponding road rage intervention strategy based on the target emotional level in order to calm the driver's emotions.

[0126] In one embodiment, the first determining module 702 includes a first calculation submodule and a first determining submodule.

[0127] The first calculation submodule is used to calculate the total emotion score based on physiological behavior information and preset emotion judgment rules.

[0128] The first determination submodule is used to determine the candidate road rage level based on the total emotion score and the preset emotion level threshold.

[0129] In one embodiment, the physiological behavioral information includes at least one of facial expression information, biometric information, voice information, and behavioral information. The first computing submodule includes: a first computing unit, a second computing unit, a third computing unit, a fourth computing unit, and a fifth computing unit.

[0130] The first calculation unit is used to obtain the first emotion score based on facial expression information and the preset first emotion determination rule.

[0131] The second calculation unit is used to obtain the second emotion score based on biological information and preset second emotion determination rules.

[0132] The third calculation unit is used to obtain the third emotion score based on the voice information and the preset third emotion determination rules.

[0133] The fourth calculation unit is used to obtain the fourth emotion score based on behavioral information and preset fourth emotion judgment rules.

[0134] The fifth calculation unit is used to obtain the total emotion score based on at least one of the first emotion score, the second emotion score, the third emotion score, and the fourth emotion score.

[0135] In one embodiment, the emotion level thresholds include a first threshold, a second threshold, and a third threshold; the candidate road rage levels include non-road rage, mild road rage, moderate road rage, and severe road rage; the first threshold is less than the second threshold, and the second threshold is less than the third threshold. The first determining submodule includes: a first determining unit, a second determining unit, a third determining unit, and a fourth determining unit.

[0136] The first determining unit is used to determine the candidate road rage level as non-road rage when the total emotion score is less than the first threshold.

[0137] The second determining unit is used to determine the candidate road rage level as mild road rage when the total emotion score is greater than or equal to the first threshold and less than the second threshold.

[0138] The third determining unit is used to determine the candidate road rage level as moderate road rage when the total emotion score is greater than or equal to the second threshold and less than the third threshold.

[0139] The fourth determination unit is used to determine the candidate road rage level as severe road rage when the total emotion score is greater than or equal to the third threshold.

[0140] In one embodiment, the driving environment includes normal driving environment and adverse driving environment, and both the candidate road rage level and the target road rage level include n levels of road rage, where n > 1. The second determining module includes: a second determining submodule, a third determining submodule, a fourth determining submodule, and a fifth determining submodule.

[0141] The second determination submodule is used to determine the target road rage level as level i-1 when the driving environment is a normal driving environment and the candidate road rage level is level i, where 0 < i < n.

[0142] The third determination submodule is used to determine the target road rage level as level i+1 when the driving environment is a harsh driving environment and the candidate road rage level is level i.

[0143] The fourth determination submodule is used to determine the target road rage level as the candidate road rage level when the driving environment is a normal driving environment and the candidate road rage level is level 0 road rage.

[0144] The fifth determination submodule is used to determine the target road rage level as a candidate road rage level when the driving environment is a harsh driving environment and the candidate road rage level is level n.

[0145] In one embodiment, the target road rage level includes non-road rage, mild road rage, moderate road rage, and severe road rage, and the road rage intervention strategy includes a first intervention strategy, a second intervention strategy, and a third intervention strategy. The intervention module includes: a first intervention submodule, a second intervention submodule, and a third intervention submodule.

[0146] The first intervention submodule is used to activate the first intervention strategy when the target road rage level is mild road rage. The first intervention strategy includes controlling the center console screen to switch to a first preset display style, and / or controlling the ambient lighting to switch to a preset lighting effect, and / or controlling the multimedia device to play a preset first type of music, and / or controlling the multimedia device to play a first type of prompt voice.

[0147] The second intervention submodule is used to activate the first and second intervention strategies when the target road rage level is moderate road rage. The second intervention strategy includes controlling the release of a preset scent by an air freshener and / or controlling a multimedia device to play a second type of prompt voice message.

[0148] The third intervention submodule is used to activate a third intervention strategy when the target road rage level is severe road rage. This third intervention strategy includes controlling the vehicle to enter autonomous driving mode, and / or controlling the vehicle to automatically pull over to the side of the road, and / or controlling the center console screen to switch to a second preset display style, and / or controlling the multimedia device to play a third type of prompt voice.

[0149] The modules in the aforementioned road rage management device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0150] In one exemplary embodiment, this application provides a computer device including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the road rage control method in any of the above embodiments.

[0151] The computer device can be a terminal, and its internal structure diagram can be as follows: Figure 8As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When executed by the processor, the computer program implements a method for managing road rage. The display unit is used to create a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0152] Those skilled in the art will understand that Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0153] In one exemplary embodiment, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the road rage management method in any of the above embodiments.

[0154] In one exemplary embodiment, this application provides a computer program product including a computer program that, when executed by a processor, implements the steps of the road rage management method in any of the above embodiments.

[0155] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0156] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0157] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0158] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for managing road rage, characterized in that, The method includes: Acquire road environment information and driver physiological behavior information; The driver's candidate road rage level is determined based on the aforementioned physiological and behavioral information; Assess the current driving environment based on the road environment information; The candidate road rage levels are adjusted based on the driving environment to determine the target road rage level; Activate the corresponding road rage intervention strategy based on the target road rage level to calm the driver's emotions; The step of determining the candidate road rage level of the driver based on the physiological behavior information includes: calculating a total emotion score based on the physiological behavior information and a preset emotion judgment rule; and determining the candidate road rage level based on the total emotion score and a preset emotion level threshold. The driving environment includes normal driving environment and adverse driving environment. Both the candidate road rage level and the target road rage level include n levels of road rage, where n > 1. Adjusting the candidate road rage level according to the driving environment to determine the target road rage level includes: when the driving environment is normal and the candidate road rage level is level i, determining the target road rage level to level (i-1) of road rage, where 0 < i < n; when the driving environment is adverse and the candidate road rage level is level i, determining the target road rage level to level (i+1) of road rage; when the driving environment is normal and the candidate road rage level is level 0 of road rage, determining the target road rage level as the candidate road rage level; and when the driving environment is adverse and the candidate road rage level is level n of road rage, determining the target road rage level as the candidate road rage level.

2. The method for regulating road rage according to claim 1, characterized in that, The physiological and behavioral information includes at least one of facial expression information, biological information, voice information, and behavioral information; The step of calculating the total emotion score based on the physiological behavioral information and preset emotion judgment rules includes: A first emotion score is obtained based on the facial expression information and a preset first emotion determination rule; The second emotion score is obtained based on the biological information and the preset second emotion determination rule; The third emotion score is obtained based on the voice information and the preset third emotion determination rules; The fourth emotion score is obtained based on the behavioral information and the preset fourth emotion determination rule; The total emotion score is obtained based on at least one of the first emotion score, the second emotion score, the third emotion score, and the fourth emotion score.

3. The method for regulating road rage according to claim 1, characterized in that, The emotion level thresholds include a first threshold, a second threshold, and a third threshold; the candidate road rage levels include non-road rage, mild road rage, moderate road rage, and severe road rage; the first threshold is less than the second threshold, and the second threshold is less than the third threshold. The step of determining the candidate road rage level based on the total emotion score and a preset emotion level threshold includes: If the total emotion score is less than the first threshold, the candidate road rage level is determined to be non-road rage. If the total emotional score is greater than or equal to the first threshold and less than the second threshold, the candidate road rage level is determined to be mild road rage. If the total emotional score is greater than or equal to the second threshold and less than the third threshold, the candidate road rage level is determined to be moderate road rage. If the total emotional score is greater than or equal to the third threshold, the candidate road rage level is determined to be severe road rage.

4. The method for regulating road rage according to claim 1, characterized in that, The target road rage levels include non-road rage, mild road rage, moderate road rage, and severe road rage; the road rage intervention strategies include a first intervention strategy, a second intervention strategy, and a third intervention strategy. The road rage intervention strategy activated according to the target emotional level includes: When the target road rage level is mild road rage, a first intervention strategy is activated; wherein, the first intervention strategy includes controlling the center console screen to switch to a first preset display style, and / or controlling the ambient lighting to switch to a preset lighting effect, and / or controlling the multimedia device to play a preset first type of music, and / or controlling the multimedia device to play a first type of prompt voice. When the target road rage level is moderate road rage, a first intervention strategy and a second intervention strategy are activated; wherein, the second intervention strategy includes controlling the fragrance to release a preset scent, and / or controlling the multimedia device to play a second type of prompt voice; When the target road rage level is severe road rage, a third intervention strategy is activated; wherein, the third intervention strategy includes controlling the vehicle to enter autonomous driving mode, and / or controlling the vehicle to automatically pull over to the side of the road, and / or controlling the center console screen to switch to a second preset display style, and / or controlling the multimedia device to play a third type of prompt voice.

5. A road rage regulation device, characterized in that, For performing the road rage management method according to any one of claims 1-4; the apparatus comprises: The information acquisition module is used to acquire real-time road environment information and driver physiological behavior information. The first determining module is used to determine the driver's candidate road rage level based on the physiological behavior information; The first assessment module is used to assess the current driving environment based on the road environment information. The second determining module is used to adjust the candidate road rage levels according to the driving environment in order to determine the target road rage level. The intervention module is used to activate corresponding road rage intervention strategies based on the target emotional level in order to calm the driver's emotions.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

8. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

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