Description:FIELD OF THE INVENTION

[0001] The present invention relates to a vehicle safety system that monitors the driver’s physical and emotional state in real-time to detect signs of aggression or stress, while also identifying aggressive driving behaviors from surrounding vehicles for improving in-vehicle safety and mitigating potential road rage incidents.

BACKGROUND OF THE INVENTION

[0002] Ensuring protection during travel is a fundamental priority in modern transportation, as road use continues to increase across cities and highways. Advancements in automotive design and modern driving support aims to safeguard occupants, reduce accident risks, and promote responsible driving behavior. The importance lies in preserving human life, minimizing injuries, and enhancing confidence among drivers and passengers. In real-life scenarios, improved protective measures assist in emergency situations, adapt to changing road conditions, and encourage compliance with traffic regulations, ultimately contributing to safer journeys and more secure mobility experiences worldwide.

[0003] The traditional approaches to road safety primarily depend on driver attentiveness, adherence to traffic regulations, routine inspections, and standard structural protections. However, the methods rely extensively on human judgment and compliance, that fluctuates under stress, fatigue, or challenging weather conditions, leading to inconsistent safety outcomes. Enforcement is limited to specific locations and times, leaving gaps in continuous oversight. Preventive measures typically respond after risks arise rather than anticipating them. Additionally, public awareness campaigns alone are incapable of ensuring consistent responsible behavior. The methods provide limited adaptability to dynamic road environments, thereby restricting overall effectiveness in preventing accidents and minimizing injuries.

[0004] US8190345B1 discloses a vehicle safety system installed within a vehicle operable to monitor the perimeter of vehicle and provide notification of objects within a defined range so as to alert the driver of the vehicle of a probable collision. The vehicle safety system includes a plurality of transceivers that are circumferentially mounted around the vehicle that function to provide detection of another object. A brake actuator is further included wherein the brake actuator is operable to engage the braking system of the vehicle upon the condition of the vehicle approaching an object within its perimeter and it has been calculated by the controller of the vehicle safety system that a collision with the object is probable. A warning light is further included to provide visual notification to a second vehicle that is generally rearward of the vehicle wherein the warning light is illuminated in a flashing sequence so as to provide visual notification of the second vehicle being too proximate the vehicle. A monitor is further included and disposed within the passenger compartment of the vehicle to provide directional notification of the location of an object within the perimeter of the vehicle.

[0005] US7804421B2 discloses a vehicle safety system includes a vehicle having at least one pillar. The at least one pillar includes an inner surface covered with a display surface. An exterior focused camera linked to the display surface for displaying an image taken by the camera upon the display material, wherein the camera takes an image of the exterior area of the vehicle that a driver would otherwise see if the at least one pillar were not blocking the view of the driver. A camera control mechanism links a driver sitting within a driver seat of the vehicle to the camera such that the camera may be adjusted to optimize the view provided upon the display surface along the inner surface of the at least one pillar.

[0006] Conventionally, many systems disclosed in the prior art provides a means for ensuring road safety that rely on driver attentiveness, traffic rules, routine inspections, and basic safeguards. The systems are time-consuming, inconsistent, and heavily dependent on human judgment, resulting in variable compliance and increased accident risk. Moreover, the systems limit adaptability, reduces overall effectiveness, and hinders continuous protection in dynamic driving conditions.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a system that requires to be capable of continuously observing a driver’s physical and emotional condition, detecting stress or aggressive tendencies, and identifying risky behaviors from surrounding vehicles. Additionally, the system also needs to enhance in-vehicle safety, reduce potential road rage incidents, and support responsible driving, thereby improving overall protection, comfort, and confidence for drivers and passengers in diverse traffic situations.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a system that is capable of monitoring the driver’s physical and emotional state in real-time to detect signs of aggression or stress for improved in-vehicle safety and timely intervention to prevent risky driving behaviors.

[0010] Another object of the present invention is to develop a system that is capable of detect aggressive driving behaviors from the surrounding vehicles for better identification and mitigation of potential threats on the road to reduce road rage incidents and improve overall safety.

[0011] Yet, another object of the present invention is to develop a system that is capable of communicating with nearby vehicles to exchange safety-related information for helping navigate toward safer locations in case of aggressive driving.

[0012] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0013] The present invention relates to a vehicle safety system that detects aggressive driving behaviors from surrounding vehicles and communicates with nearby vehicles to exchange safety-related information, helping navigate toward safer locations and reducing road rage incidents.

[0014] According to an aspect of the present invention, a vehicle safety system, comprising a four-wheeler vehicle, a plurality of load cells in a driver seat to detect driver seating, posture and sudden pressure shifts and to provide baseline information for driver state evaluation, a plurality of vital sensing electrodes on a steering wheel of the vehicle to measure at least heart rate, heart rate variability and skin conductance, a microphone array in a cabin of the vehicle to capture driver speech and simultaneously performs speech recognition and emotion classification to detect aggressive language, shouting and hostile tone independent of background noise, an infrared camera within the vehicle to capture facial expressions, eye behavior and head movement of the driver, and at least one forward LiDAR (Light Detection and Ranging) module on exterior portion of the vehicle to scan a region in front of the vehicle.

[0015] According to another aspect of the present invention, the system further comprises of at least one forward radar (Radio Detection and Ranging) module on exterior portion of the vehicle to monitor objects and relative motion in front of the vehicle, a plurality of cameras on exterior portion of the vehicle to detect surrounding vehicles, their relative speed, lane position, separation distance, and maneuvers, a connectivity module with the microcontroller to access real time traffic information and map data identifying safe locations including at least police stations, hospitals or public safety zones, a vehicle to vehicle communication interface with the vehicle to exchange messages with nearby vehicles using at least one of DSRC and C V2X protocols to navigate toward the safe location while continuously monitoring and responding to updated driver state and environment data, and a plurality of exterior strobe light emitters on the vehicle to orient beams and adjust intensity toward an approach path of the identified aggressor vehicle while limiting illumination of non threat vehicles and pedestrian areas.

[0016] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0017] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates an inner view of a vehicle safety system; and
Figure 2 illustrates an outer view of a vehicle safety system.

DETAILED DESCRIPTION OF THE INVENTION

[0018] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0019] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0020] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0021] The present invention relates to a vehicle safety system that monitors the driver’s physical and emotional state in real-time to detect signs of aggression or stress, while also communicating with nearby vehicles to exchange safety-related information, helping navigate toward safer locations and preventing risky driving behaviors.

[0022] Referring to Figure 1 and 2, an inner view of a vehicle safety system and an outer view of a vehicle safety system are illustrated respectively, comprising of a plurality of load cells 101 embedded in a driver seat, a plurality of vital sensing electrodes 102 disposed on a steering wheel of the vehicle, a microphone array 103 arranged in a cabin of the vehicle, an infrared camera 104 positioned within the vehicle, a plurality of cameras including at least a pair of side cameras 201 and at least one rear camera 202 disposed on exterior portion of the vehicle, a plurality of exterior strobe light emitters 203 mounted on the vehicle by respective ball and socket joints 204.

[0023] The system discloses herein includes a plurality of load cells 101 are embedded within the driver’s seat and are configured to detect the driver’s seating posture, sudden pressure shifts, and provide baseline data for evaluating the driver’s state. The load cells 101 work by converting mechanical pressure exerted by the driver’s body into electrical signals. Each load cell 101 is strategically placed at various points on the seat to capture changes in weight distribution, which can be indicative of the driver’s posture or movements. When the driver sits down or shifts their position, the load cells 101 detect these subtle changes in pressure and translate them into real-time data, which is then sent to a microcontroller for analysis. By continuously monitoring the pressure distribution and detecting any sudden shifts or abnormalities, the load cells 101 help in tracking the driver’s state over time.

[0024] The embedded microcontroller is programmed to detect when the driver is seated based on signals received from the load cells 101. Once seating is detected, the microcontroller establishes baseline parameters of the driver’s state, which include heart rate, heart rate variability, skin conductance, and typical pressure distribution on the seat. This is achieved by first recording the initial physiological and seating data as a reference when the driver is in a neutral, calm state. These baseline values serve as a reference for future comparisons, allowing to continuously monitor any deviations or sudden changes in the driver's state. Similarly, fluctuations in heart rate, heart rate variability, or skin conductance suggest emotional changes such as anxiety, frustration, or aggression. By establishing these baseline parameters, the microcontroller enables more accurate monitoring of the driver’s emotional and physical state, allowing to trigger appropriate interventions if signs of stress, aggression, or fatigue are detected.

[0025] A plurality of vital sensing electrodes 102 are strategically positioned on the steering wheel of the vehicle to measure physiological indicators, including heart rate, heart rate variability, and skin conductance. The electrodes 102 work by detecting electrical signals produced by the driver’s skin as a result of physiological changes. Specifically, the electrodes 102 monitor changes in the electrical resistance of the skin, which varies in response to emotional arousal, such as stress or aggression. This measurement of skin conductance, also known as galvanic skin response (GSR), helps assess the driver’s emotional state.

[0026] The microcontroller processes the data from these electrodes 102, continuously monitoring heart rate and heart rate variability. These parameters provide insights into the driver’s stress levels, as increased heart rate variability typically indicates relaxation, while a decrease in variability can signal stress or anxiety. Simultaneously, the electrodes 102 monitor the grip force on the steering wheel, which can indicate heightened tension or aggression when the driver’s grip becomes firmer or more erratic.

[0027] If the microcontroller detects a sudden increase in any of these indicators such as a spike in grip force, a significant drop in heart rate variability, or vocal stress from the driver it flags a preliminary aggressive driving condition. This data is used to assess whether the driver is exhibiting signs of frustration, anger, or potential road rage.

[0028] A microphone array 103 is strategically placed within the cabin of the vehicle and is operatively connected to the embedded microcontroller to capture the driver’s speech in real-time. The microphone array 103 consists of multiple microphones arranged at different locations within the cabin to capture sound from various angles, ensuring that the driver's voice is picked up clearly, regardless of their position or the direction they are facing. The microphones receive the driver’s voice and converts the sound energy emitted by the user into electrical energy. Inside the microphone, a diaphragm made of plastic is present that moves back and forth when the sound wave hits the diaphragm, which then moves a coil attached to the diaphragm in the same way in order to generate an electrical signal proportional to the sound. The electric signal from coil flows to an amplifier which amplifies the electrical signal. The amplified electrical signal is then sent to the microcontroller linked to the microphone. The microphones work together to detect sound waves and convert them into electrical signals, which are then sent to the microcontroller for processing.

[0029] The microcontroller uses speech recognition algorithms to analyze the speech signals captured by the microphone array 103. The microcontroller identifies and decodes the driver’s speech patterns, focusing on specific characteristics such as tone, volume, cadence, and speech content. At the same time, emotion classification models embedded within the microcontroller are employed to assess the emotional state of the driver based on vocal cues. One of the key features of this microphone array 103 is its ability to work independently of background noise. The microphones are equipped with noise-canceling technique, which filters out irrelevant environmental sounds, such as traffic noise or music, ensuring that the microcontroller focuses solely on the driver’s voice.

[0030] An infrared camera 104 is strategically positioned within the vehicle to capture the driver’s facial expressions, eye behavior, and head movement. The infrared camera 104 detects heat emitted by the driver’s face and body, making it effective in monitoring the driver even in low-light or nighttime conditions. This allows for continuous, non-intrusive monitoring of the driver’s facial cues, regardless of the ambient lighting in the vehicle. The infrared camera 104 works by using infrared light to illuminate the driver’s face and body. The infrared camera 104 then captures the emitted infrared radiation, which is translated into thermal images. These thermal images provide detailed information about the driver’s facial expressions, such as frowning, eyebrow movement, or jaw clenching, all of which indicate signs of stress, discomfort, or aggression.

[0031] In addition, the camera 104 tracks the driver’s eye behavior, such as rapid eye movement or prolonged eye contact, which can provide further insights into the driver’s focus, fatigue levels, or emotional state. The camera 104 also tracks head movements, such as sudden shifts or tilting, which can be indicative of heightened alertness, distraction, or frustration. This data is processed by the microcontroller, which combines the facial and eye behavior information with other physiological and behavioral signals, such as heart rate or vocal tone, to assess the driver’s overall state.

[0032] The signals from the vital sensing electrodes 102, microphone array 103, and infrared camera 104 are processed by a deep learning model designed to detect signs of stress and anger in the driver. The model receives input from the electrodes 102, which monitor heart rate variability and skin conductance, providing insights into the driver’s physiological response to stress. A decrease in heart rate variability or an increase in skin conductance can indicate emotional arousal, such as stress or anger.

[0033] In addition, the model analyzes the data from the microphone array 103, which captures the driver’s speech patterns, tone, and volume. The vocal content, such as the use of aggressive language, shouting, or a hostile tone, is examined to assess emotional intensity. Prosody, which refers to the rhythm, pitch, and cadence of speech, also provides valuable clues about the driver’s emotional state. For example, a sharp increase in vocal stress or a change in speech patterns signal frustration or anger.

[0034] The infrared camera 104 adds another layer of analysis by capturing facial expressions, eye behavior, and head movement. The subtle changes in facial expressions, such as furrowed brows or clenched jaws, and abnormal eye movement patterns indicate emotional tension or aggression. Similarly, sudden head movements or shifts in posture may suggest heightened alertness or stress. By combining data from all these sources, the deep learning model processes a comprehensive set of inputs to accurately detect stress and anger.

[0035] A sensing suite is positioned on the exterior of the vehicle. The sensing suite includes at least one forward LiDAR (Light Detection and Ranging) module that is oriented to scan the area in front of the vehicle. The forward LiDAR module works by emitting laser pulses and measuring the time it takes for the light to reflect off objects in its path and return to the sensor. This time-of-flight measurement is then used to calculate the distance between the LiDAR sensor and the objects around the vehicle, creating a detailed, three-dimensional map of the environment.

[0036] The LiDAR module uses a laser emitter to generate pulses of light, which travel at the speed of light until they encounter an object or surface. When the light reflects back to the sensor, the LiDAR module calculates the time it took for the light to travel to the object and back. Since the speed of light is constant, this time-of-flight data is then converted into a precise distance measurement. By rapidly emitting millions of laser pulses per second, the forward LiDAR module create a high-resolution, continuous scan of the area in front of the vehicle, capturing details such as the location, size, and shape of obstacles, other vehicles, pedestrians, or road signs.

[0037] The forward LiDAR module's 360-degree scanning capability allows it to provide a comprehensive view of the environment, even in low light or harsh weather conditions where traditional cameras might struggle. This data is continuously processed by the microcontroller to identify and track objects in the vehicle’s path, assess the relative speed of nearby objects, and detect potential hazards.

[0001] The sensing suite also includes at least one forward radar (Radio Detection and Ranging) module positioned on the exterior of the vehicle, oriented to monitor objects and detect their relative motion in front of the vehicle. The forward radar works by emitting high-frequency radio waves, which travel through the air until they hit an object in the vehicle's path. Once the radio waves encounter an object, they reflect back to the radar receiver. By analyzing the time it takes for the radio waves to return, the radar system can accurately calculate the distance to the object.

[0038] In addition to measuring distance, the radar module is also capable of detecting the relative speed of objects by assessing the Doppler shift. The Doppler effect occurs when the frequency of the radio waves changes due to the movement of the object in relation to the vehicle. If the object is moving toward the vehicle, the frequency of the reflected waves increases, while if the object is moving away, the frequency decreases. This change in frequency allows the radar module to determine whether an object is approaching or moving away from the vehicle, and at what speed.

[0039] The forward radar module continuously scans a wide area in front of the vehicle, even in challenging conditions such as fog, rain, or darkness, where optical sensors like cameras or LiDAR might be less effective. The radar's ability to detect objects through obstacles, such as rain or fog, makes it highly reliable in adverse weather conditions. The forward radar module also operates independently of lighting conditions, making it effective both day and night. By providing real-time data on the distance and relative speed of objects, the forward radar helps the microcontroller to assess potential hazards, such as vehicles in the same lane, pedestrians crossing the road, or obstacles ahead.

[0040] A plurality of cameras, including at least a pair of side cameras 201 and at least one rear camera 202, are positioned around the vehicle to work in conjunction with the LiDAR and radar modules to monitor and detect the surrounding vehicles and their movements. The cameras 201 capture high-resolution visual data of the environment around the vehicle, providing essential information on the relative speed, lane position, separation distance, and maneuvers of nearby vehicles.

[0041] The side cameras 201 are positioned on each side of the vehicle to provide a wide-angle view of the areas adjacent to the vehicle. They continuously monitor the vehicles in adjacent lanes, detecting their position, movement, and proximity. These cameras 201 can identify lane changes, ensuring the microcontroller is aware of vehicles approaching from the side or attempting to merge into the same lane. The rear camera 202, typically mounted on the back of the vehicle, monitors the space behind the vehicle. It tracks the distance and speed of vehicles approaching from behind, helping to identify potential tailgating or vehicles attempting to overtake.

[0042] The cameras use image recognition protocols to track the movement of surrounding vehicles. By processing the visual data captured by the cameras, the system can determine the relative speed and trajectory of these vehicles. For example, if a vehicle is rapidly approaching from behind, the microcontroller assess the closing speed and predict whether the vehicle will attempt to overtake. Similarly, side cameras 201 detect lane changes or vehicles drifting out of their lanes, giving the vehicle a comprehensive understanding of the surrounding traffic conditions.

[0043] The data from the sensing suite is continuously processed to detect aggressive behaviors exhibited by surrounding vehicles, such as tailgating, repeated lane cutting, abrupt acceleration, and abnormal lane deviation. Each of these behaviors is indicative of potentially risky or aggressive driving. The microcontroller monitors the surrounding traffic using the sensors, which include the forward radar, LiDAR, and cameras, to track the movements of nearby vehicles. The tailgating is identified when a vehicle follows the host vehicle too closely, while repeated lane cutting and abrupt acceleration are recognized through changes in the relative positions and speeds of surrounding vehicles. The abnormal lane deviation is detected when another vehicle drifts out of its lane without signaling or in an erratic manner.

[0044] This data, when combined with information from the driver’s state is processed by the microcontroller. By fusing both the surrounding vehicle behavior and the driver’s emotional and physiological state, the microcontroller calculates a "driver aggression confidence score." This score reflects the likelihood that the driver is experiencing stress or aggression, which potentially lead to unsafe driving behaviors. When the driver aggression confidence score exceeds a predefined threshold, indicating that the driver may be in an agitated or aggressive state, the microcontroller automatically activates a "road rage safety mode." In this mode, the microcontroller adjusts the vehicle's performance parameters to reduce the likelihood of impulsive or aggressive maneuvers. Specifically, the steering sensitivity is softened to make the vehicle less responsive to sharp, abrupt turns. The throttle response is slowed down, preventing rapid acceleration, while braking aggressiveness is reduced to avoid harsh braking or sudden stops.

[0045] When the road rage safety mode is activated, the mode immediately initiates an automated locking sequence designed to secure the vehicle. The microcontroller sends control signals to the central locking actuator module, which drives electric motors within each door latch mechanism to engage the lock position. At the same time, the power window control circuit disables window switches and, if required, commands the window motors to fully close any partially open windows. The position sensors within the door lock assemblies and window regulators provide feedback to the microcontroller to confirm successful locking and closure.

[0046] If any door or window does not reach the secure state, the microcontroller trigger a retry sequence or alert the driver. Despite the automatic locking, the driver maintains authority through a manual override function, typically accessed via a secure switch or authenticated control input. When the override is engaged, the microcontroller temporarily suspends the safety lock state and allows normal door or window operation.

[0047] The microcontroller continuously analyzes data from the vehicle’s sensing suite to detect nearby vehicles and evaluate their behavior. Using this real-time data, it assesses parameters including proximity (how close another vehicle is), relative trajectory (its direction and speed compared to the host vehicle), and behavioral persistence (repeated tailgating, sudden lane changes toward the vehicle, or aggressive acceleration patterns). By processing these variables through predefined algorithms or threat-detection logic, the microcontroller determines whether a nearby vehicle exhibits characteristics consistent with aggressive driving.

[0048] When such behavior crosses a defined threshold, the microcontroller flags the vehicle as a probable aggressor and assigns it a temporary threat identifier. This identifier allows the system to continuously track the specific vehicle across sensor frames, correlate its movements over time, and prioritize it in subsequent safety decisions. The temporary tag remains active as long as the threat conditions persist and is cleared automatically once the vehicle moves away or its behavior normalizes.

[0049] A connectivity module is integrated with the microcontroller, the module comprising a satellite-based positioning receiver and a communication interface configured to obtain real-time traffic information and map data that identifies safe locations, including at least police stations, hospitals, and designated public safety zones.

[0050] The satellite-based positioning receiver determines the vehicle’s precise geographic location by receiving time-stamped signals from multiple global navigation satellite system (GNSS) satellites, such as GPS or similar constellations. By calculating the time delay between signal transmission and reception, the receiver performs trilateration to compute latitude, longitude, altitude, speed, and heading. This positioning data is continuously updated and transmitted to the microcontroller to maintain accurate situational awareness.

[0002] A vehicle-to-vehicle (V2V) communication interface configured to exchange wireless messages with nearby vehicles using at least one of Dedicated Short-Range Communications (DSRC) or Cellular Vehicle-to-Everything (C-V2X) protocols, wherein the interface supports coordinated navigation toward a designated safe location while continuously monitoring and adapting to updated driver-state and environmental data. Further, upon assignment of the temporary threat identifier to a probable aggressor vehicle, the V2V communication interface is configured to transmit a standardized de-escalation message to the identified vehicle indicating that a safety maneuver is being executed, without transmitting any personal or driver-identifiable information.

[0051] In operation, the V2V communication interface establishes low-latency, short-range wireless links with surrounding vehicles using DSRC (IEEE 802.11p-based) or C-V2X (cellular sidelink PC5) protocols. These protocols enable periodic broadcast of Basic Safety Messages (BSMs) or Cooperative Awareness Messages (CAMs), which include anonymized data such as vehicle position, speed, heading, acceleration, and intended path. The microcontroller integrates this exchanged data with onboard sensor inputs and driver-state monitoring outputs to make dynamic navigation decisions while proceeding toward the selected safe location.

[0052] When a nearby vehicle is classified as a probable aggressor and assigned a temporary threat identifier, the microcontroller maps the identifier to the corresponding V2V message stream based on position, trajectory, and signal metadata. In response, the interface generates and transmits a predefined, standards-compliant de-escalation message such as an indication of controlled deceleration, lane change for safety, or rerouting to a safe zone. This message is structured to communicate intent clearly to surrounding vehicles to reduce misinterpretation and potential conflict.

[0053] A plurality of exterior strobe light emitters 203 mounted on the vehicle via respective ball-and-socket joints 204, where the emitters 203 are operatively coupled to the microcontroller and are controllable to dynamically orient their light beams and modulate intensity toward an approach path of the identified aggressor vehicle, while substantially limiting illumination directed toward non-threat vehicles and pedestrian areas.

[0054] Each strobe light emitter 203 includes a high-intensity LED or laser-based light source housed within a pivotable casing supported by a motorized ball-and-socket mechanism. The ball-and-socket joint 204 permits multi-axis angular movement, enabling precise pan and tilt adjustment. Upon assignment of the temporary threat identifier, the microcontroller calculates the relative position, speed, and trajectory of the identified aggressor vehicle using fused sensor data. Based on these parameters, control signals are transmitted to micro-actuators within the joint 204 assembly, orienting the emitter 203 toward the predicted approach vector of the aggressor. Simultaneously, the microcontroller regulates the strobe frequency, pulse duration, and luminous intensity through pulse-width modulation (PWM) or current control circuits to ensure the light output is attention-commanding yet compliant with safety limits. To prevent unnecessary glare or hazard to uninvolved road users, the microcontroller employs beam-shaping optics and directional control algorithms that create a confined illumination cone aligned specifically with the aggressor’s path.

[0055] The present invention works best in the following manner, where the presence of the driver is detected through plurality of load cells 101 embedded within the driver’s seat, which sense seating posture and pressure distribution. Upon seating detection, baseline physiological parameters are established using vital sensing electrodes 102 positioned on the steering wheel to measure heart rate, heart rate variability, skin conductance, and grip force. Thereafter, microphone array 103 captures speech tone and cadence, while infrared camera 104 monitors facial expressions, eye behavior, and head movement. The signals from these components are processed through deep learning model to evaluate stress or anger levels. Simultaneously, sensing suite comprising forward LiDAR module, forward radar module, side cameras 201, and rear camera 202 scans external environment to detect tailgating, abrupt lane changes, aggressive acceleration, or abnormal lane deviation. Following fusion of driver state data and external behavior data, driver aggression confidence score is calculated; when threshold is exceeded, road rage safety mode is activated. Subsequently, vehicle dynamics are moderated by softening steering sensitivity, reducing throttle response, and limiting harsh braking. Further, central locking actuator module secures doors and power window control circuit closes and disables windows with override logging. The connectivity module with satellite-based positioning receiver and communication interface retrieves real-time traffic data and identifies safe locations. The vehicle-to-vehicle communication interface transmits standardized de-escalation message using DSRC or C-V2X protocols, after which exterior strobe light emitters 203 mounted on motorized ball-and-socket joints 204 orient controlled beams toward aggressor path while limiting glare to non-threat vehicles and pedestrian areas.

[0056] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , C , Claims:1) A vehicle safety system, comprising a four-wheeler vehicle, characterized in that:
i) a plurality of load cells 101 embedded in a driver seat and configured to detect driver seating, posture and sudden pressure shifts and to provide baseline information for driver state evaluation;
ii) a plurality of vital sensing electrodes 102 disposed on a steering wheel of the vehicle configured to measure at least heart rate, heart rate variability and skin conductance;
iii) a microphone array 103 arranged in a cabin of the vehicle and operatively connected to an embedded microcontroller to capture driver speech and simultaneously performs speech recognition and emotion classification to detect aggressive language, shouting and hostile tone independent of background noise;
iv) an infrared camera 104 positioned within the vehicle to capture facial expressions, eye behavior and head movement of the driver;
v) a sensing suite disposed on exterior portion of the vehicle, the sensing suite comprises:
a) at least one forward LiDAR (Light Detection and Ranging) module oriented to scan a region in front of the vehicle;
b) at least one forward radar (Radio Detection and Ranging) module oriented to monitor objects and relative motion in front of the vehicle; and
c) a plurality of cameras including at least a pair of side cameras 201 and at least one rear camera 202 configured, in combination with the LiDAR and radar modules, to detect surrounding vehicles, their relative speed, lane position, separation distance, and maneuvers;
vi) a connectivity module integrated with the microcontroller, the module having a satellite based positioning receiver and a communication interface configured to access real time traffic information and map data identifying safe locations including at least police stations, hospitals or public safety zones; and
vii) a vehicle to vehicle communication interface configured to exchange messages with nearby vehicles using at least one of DSRC and C V2X protocols to navigate toward the safe location while continuously monitoring and responding to updated driver state and environment data.

2) The device as claimed in claim 1, wherein the embedded microcontroller is configured, upon detection of driver seating by the load cells 101, to establish baseline driver state parameters including heart rate, heart rate variability, skin conductance and typical seating pressure distribution for subsequent comparison.

3) The device as claimed in claim 1, wherein signals from the vital sensing electrodes 102, the microphone array 103 and the infrared camera 104 are processed by at least one deep learning model to detect stress and anger from heart rate variability and skin conductance, vocal content and prosody, and facial expressions and head movement.

4) The device as claimed in claim 1, wherein the microcontroller is configured to detect a sudden increase in at least one of grip force on the steering wheel, heart rate variability and vocal stress and to flag a preliminary aggressive driving condition.

5) The device as claimed in claim 1, wherein data from the sensing suite is processed to identify aggressive behaviors of surrounding vehicles including tailgating, repeated lane cutting, abrupt acceleration and abnormal lane deviation, and is fused with the driver state data to compute a driver aggression confidence score.

6) The device as claimed in claim 1, wherein when the driver aggression confidence score exceeds a first threshold, the microcontroller activates a road rage safety mode in which steering sensitivity, throttle response and braking aggressiveness are reduced to limit impulsive maneuvers.

7) The device as claimed in claim 1, wherein activation of the road rage safety mode further causes automatic locking of doors and windows with manual override available to the driver, and the override is logged in memory associated with the microcontroller.

8) The device as claimed in claim 1, wherein the microcontroller identifies a probable aggressor vehicle from the sensing suite data based on proximity, relative trajectory and persistence of aggressive behavior, and assigns a temporary threat identifier to the identified vehicle.

9) The device as claimed in claim 1, wherein the vehicle to vehicle communication interface is configured, in response to assignment of the temporary threat identifier, to transmit a standardized de escalation message to the identified aggressor vehicle indicating that a safety maneuver is being executed without transmitting personal driver information.

10) The device as claimed in claim 1, further comprising a plurality of exterior strobe light emitters 203 mounted on the vehicle by respective ball and socket joints 204, the emitters 203 being controlled by the microcontroller to orient beams and adjust intensity toward an approach path of the identified aggressor vehicle while limiting illumination of non threat vehicles and pedestrian areas.