A method and system for automatically transmitting data to assist in quickly responding after an emergency such as a vehicle accident

Abstract

To provide a device, a system and a method that shorten a response time after an emergency such as a vehicle accident.SOLUTION: An emergency call notification is automatically emitted by a computer from a vehicle and / or a phone to provide data including information such as GPS position data and speed, a transmitter number and their medical history, and all data before collision and / or after collision is continuously linked to a cloud. By using a plurality of data sources, redundancy for verifying data is provided and unnecessary emergency call notifications are avoided. Quicker transportation to a hospital is achieved and optimum healthcare adapted to a victim can be reliably provided within a golden hour, which determines life and death after an accident. This solution can be used both domestically and abroad by using big data across global networks that track billions of phones and / or vehicles.SELECTED DRAWING: Figure 5

Description

Technical Field

[0001] The present invention relates to an apparatus, a system, and a method for automatically transmitting a 119 call by a computer from a vehicle and / or a mobile phone (including a smartphone), a satellite phone (hereinafter sometimes simply referred to as a "phone"), providing data including information such as GPS position and speed, and, if the parties have pre-approved, their medical history, and continuously linking the data to the cloud to shorten the response time after an emergency such as a vehicle accident. Cameras, sensors, and computers installed in vehicles, and / or sensors, computers, etc. installed in phones automatically notify the occurrence time of a collision using data such as speed and deceleration. And, if possible, multiple data sources are utilized to provide redundancy for verifying the data and avoid unnecessary 119 calls. As a result, the transportation to the hospital can be speeded up, and optimal medical treatment tailored to the victim can be surely provided during the golden hour that determines life and death after the accident. This solution can be used both at home and abroad by leveraging the worldwide big data network that tracks billions of phones and / or vehicles.

Background Art

[0002] The present device, system, and method are designed to expedite the response of emergency medical technicians (EMTs), police, etc. in the event of an emergency such as a vehicle accident in any location, including within a home or a vehicle collision. This ensures that ideal medical treatment can be reliably provided after the accident. In 2018, the number of traffic fatalities in the United States was 36,560. By shortening the response time of the emergency team, the likelihood of saving accident victims increases, potentially saving hundreds or thousands of lives each year. However, in 2018, 10% of fatal collision accidents were reported more than 10 minutes after the accident occurred. This figure indicates that there are technical and economic incentives for drivers to allow the automatic sharing of collision data in the seconds before an accident. That is, by constantly connecting and storing data such as GPS data and medical history in the cloud, when an emergency such as a collision is detected, an automatic alert is sent to the 119 network instantaneously, within 1 / 1000 of a second, and it can be connected to the voice generated from the text, or all relevant information can be displayed on the screen of the 119 call center. The transmission of GPS data is carried out by continuously connecting the vehicle and / or phone to the extended 119 cloud network. Standard GPS technology transmits data containing latitude, longitude, and altitude information of about 100 characters once every second or so. Using such standard GPS data (example of standard GPS: $GPRMC,235316.000,A,4003.9040,N,10512.5792,W,0.09,144.75,141112,,*19), it is possible to pinpoint the position and speed of the tracking device and confirm the vehicle type and the time of collision. (Note that the emergency phone number for reporting in Japan is 119, while in the United States it is 911. Hereinafter, reporting to 119 and 911 is collectively referred to as "emergency phone reporting".) What the present invention requires is only a communication device that collects and transmits GPS data, such as a smartphone or, ideally, a satellite phone. Even when the subject moves around the world in any vehicle (i.e., a passenger car, an airplane, a train, etc. (hereinafter collectively referred to as "vehicle")), the device uses GPS data to detect a collision and sends a rescue text message or makes an emergency phone call. Other systems such as GM's OnStar use sensors such as acceleration sensors to accurately determine the occurrence of a collision, deploy airbags, make emergency phone calls, etc., which are costly and require sensors to be installed in the vehicle. On the other hand, this system only requires GPS data to identify the vehicle type and the time of occurrence of an emergency situation. Mark Haley, the inventor of the present application, developed the technology included in this patent in 2009 when he held a professorship in Japan. Since then, for more than 13 years, he has strengthened the GPS tracking technology in terms of communication and trained and tracked skydivers around the world, including elite smokejumpers who skydive towards fires in remote areas. Please refer to Patent Document 1 by the present inventor and its corresponding Japanese patent, Patent Document 2 (title of the invention: "Skydiving Tracker: An Integrated System for Flight Data Collection and Virtual Reality Simulator to Improve Skydiving Safety"). The present invention can track and protect a subject anywhere in the world with any device having GPS and communication functions, i.e., a smartphone, and can send a rescue message by text or call in an emergency, so the cost-effectiveness is very high. As a result, it can be applied to billions of phones around the world (i.e., smartphones, satellite phones, etc.) and can provide safety to anyone in the world who moves in any vehicle such as a passenger car, a train, an airplane, a ship, etc.

[0003] From one GPS data point, a location such as "Dallas, Texas" can be obtained. From two GPS data points, speeds such as 88 feet per second (about 26.82 meters per second), 60 miles per hour (about 48.28 kilometers per hour) can be obtained as the distance traveled / time. From three GPS data points, detailed acceleration and deceleration information can be obtained. In the case of a frontal collision accident with a cement wall, it is considered that the movement from the second data point to the third data point will be very small. Also, the history data of that type of vehicle is collated to verify the collision. By duplicating data such as a mobile phone tracker and a vehicle tracker, misdialing of emergency calls can be reduced. As shown in FIGS. 7 to 11, the type of vehicle is identified by speed and altitude data. After a collision, a text message containing all relevant location information, collision data, and medical records is sent to the emergency phone number. Optionally, voice conversion of text in any language (e.g., IBM Watson, etc.) can also be performed. However, with just a text message, the overview of the collision could not be obtained in an ideal form.

[0004] Note that the vehicle type is automatically identified by the vehicle itself. However, in the case of a smartphone, when the person carrying it is in a passenger car, train, airplane, or even skydiving after jumping out of an airplane, such confirmation of the vehicle type can only be determined by collating the GPS data with the history data. The inventor has used this technology to track and investigate hundreds of trains, airplanes, passenger cars, and skydiving. As a result, it has been found that although higher accuracy can be obtained with a larger GPS database, the vehicle type can also be identified with a small GPS database. This method and system use one or more sensors including GPS data of the vehicle and / or phone to automatically make an emergency call when necessary (FIGS. 1 to 6). By duplicating the sensors, the risk of misdialing of emergency calls can be reduced. However, this method and system can obtain sufficient information to make an emergency call with only the GPS data of a portable smartphone (FIG. 6).

[0005] In the United States, only 10% of drivers, as of 2018, permit the sharing of telematics vehicle data, which is important information regarding a vehicle's speed, location, acceleration, etc. However, as the discount rate for automobile insurance provided by data sharing increases, privacy protection is strengthened, and technology improves, more drivers will likely share this data, shortening the response time for emergency response and increasing the likelihood of saving accident victims. In the European Union (EU), since April 2018, all automobile manufacturers within the region have been obliged to install the automatic emergency reporting technology "eCall", so in this regard, the EU is leading the United States by a large margin.

[0006] Big data is a technology that can analyze a vast amount of data at high speed and solve problems that could not be solved conventionally. Big data utilizes data from vehicles and / or phones, cloud data, important information linked to the cloud when passengers voluntarily disclose important information, and data from in-vehicle cameras and sensors that monitor the vehicle's speed and location and identify the driver using in-vehicle cameras and facial recognition software (Figs. 1 - 3). Several terabytes of data are generated from a single vehicle in a day, and the number of vehicles to be tracked reaches millions. Even in situations where manual emergency phone calls cannot be made, such as in remote areas or at night, important collision data is automatically transmitted to the emergency phone number. This robotic reporting identifies the location and severity of the accident, the driver's medical history, etc., and contributes to providing victim assistance within the golden hour after the collision. The golden hour refers to the time after the collision when the likelihood of saving accident victims is greatest if assistance is provided during that time. Also, even when data cannot be obtained due to malfunctions of in-vehicle sensors or communication interruptions, by constantly monitoring the vehicle, it is possible to suggest the possibility of trouble or an accident (Fig. 4). This system can be used both domestically and internationally (Fig. 5).

[0007] Moreover, the present invention is a promising technology that has the potential to shorten the response time of first responders after a traffic accident and contribute to saving lives and reducing the number of injured. On the roads in urban areas of the United States with heavy traffic, many people make emergency phone calls immediately after an accident. There are even cars that automatically send out rescue notifications. However, in the dead of night or in remote areas, accident reports may not be made for hours. However, by expanding the combination of big data and the cloud, it becomes possible to automatically report an accident not only within 10 minutes after the accident but even seconds before the collision occurs.

[0008] Current state-of-the-art in-vehicle sensors collect several terabytes of data every day, and some of this data is used for the vehicle's autonomous driving and braking in situations that may lead to accidents. The devices, systems, and methods of the present invention aim to quickly transmit important parts of this data to the cloud after an accident and ensure notification to first responders.

[0009] "Golden Hour" - Rapid treatment within one hour is crucial for saving lives According to the American College of Surgeons, the "Golden Hour" is a concept that emphasizes the importance of successfully treating patients who have suffered serious injuries, such as those caused by automobile collisions or gunshot wounds, within the first 60 minutes after being injured. The initial treatment of such severely injured patients is called Advanced Trauma Life Support (ATLS). Advanced Trauma Life Support was developed in 1976 based on the experience of treating people with severe injuries in the Vietnam War and in dangerous cities in the United States.

Prior Art Documents

Patent Documents

[0010]

Patent Document 1

Patent Document 2

Brief Description of the Drawings

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Mode for Carrying Out the Invention

[0012] The apparatus, system, and method of the present invention utilize big data and the cloud to provide an integrated response method for vehicle accidents and normal emergency phone calls. More specifically, it provides an integrated response method for emergency responders such as paramedics and police officers to grasp the medical background of the victims and provide prompt and appropriate treatment during transportation to the hospital. The purpose of the present invention is to speed up the transfer of victims to the hospital, provide ideal medical treatment within the golden hour after the accident, and obtain the best medical results. In the case of a vehicle accident, when the vehicle data indicates an imminent collision danger, the device (ideally, a device mandated by the government similar to a smoke detector) automatically dials an emergency call number to send a distress call. This call is made just before the moment of collision in case the vehicle is severely damaged and all communication means and in-vehicle computers become inoperable. The information reported includes the driver's identity information. The identity information is obtained by a driver monitoring camera equipped with face / voice recognition software, which is installed as part of the autonomous driving system in the latest vehicles. Alternatively, an option can be utilized where the passenger voluntarily provides their medical record (medical chart) to the vehicle's computer or phone. In cases where the system cannot identify the passenger or there are privacy concerns, this option provides the medical history that the passenger wishes to disclose during the accident.

[0013] In block 1 of FIG. 1, the vehicle's sensors, computer, and software use GPS data and medical records to automatically make an emergency phone call to summon responders such as paramedics. Also, in the case of an emergency phone call from a phone, at the time of the call, the phone automatically transmits GPS data and / or identifies the medical record by voice recognition, and transmits the GPS location information and the medical record to the paramedics (block 2).

[0014] Based on the matching results between the data reported by voice / face recognition software or spontaneously uploaded and the cloud data, whether it is a vehicle accident or a 119 call from home, it is possible to grasp the location, identity, and medical background of the victim. Therefore, during the transportation to the hospital, responders such as emergency team members can provide appropriate treatment according to the patient. In block 3, using face / voice recognition software, or the caller number information, or the spontaneous disclosure information from the application of the phone that is linked to the vehicle's computer, obtain the victim's medical records from the big data on the cloud, and let the artificial intelligence (AI) constantly verify the medical issues and treatments according to the victim. And since the medical history related to the patient is identified by this system, during the transportation to the hospital shown in block 4, the emergency team members can perform the initial treatment according to the patient, and the hospital can then take over and continue the treatment.

[0015] Figure 2 shows how a self-driving vehicle uses a number of cameras, radars, and LiDARs to map the world around the vehicle and thereby plan an optimal and safe route. In 2021, the industry's largest company, Tesla, used eight cameras to achieve a 360-degree field of view in the range of 250m ahead and 50m behind, enhanced the mapping around the vehicle with ultrasonic sensors, and enabled forward recognition even in rain, fog, or a dirty state with dust using radars.

[0016] However, opinions are divided on using in-vehicle cameras to monitor the driver's state. The in-vehicle cameras record the driver's actions, including those before a collision, and upload them to the cloud. This function is optional and can be rejected by the user, but it raises privacy concerns. To address such privacy concerns and because face / voice recognition software has limitations, it is conceivable that when a passenger gets into the vehicle, they can manually or automatically through a phone application voluntarily disclose information such as medical information to the vehicle's computer.

[0017] Automatic emergency reporting has already been made mandatory in the EU and is also essential in the US The telematics shown in Figure 3 is an in-vehicle tracking device that transmits important information such as location, speed, hard braking, and hard acceleration. Some insurance companies offer discounts for sharing this data, and as a result, nearly 10% of drivers in the United States use this technology. However, in the European Union (EU), since April 2018, all automobile manufacturers within the region have been obliged to install the automatic emergency reporting technology "eCall". By 2021, the EU had significantly overtaken the United States. In the event of a collision, eCall automatically transmits location information and reports whether the airbag has deployed. In contrast, this technology that combines big data with face and voice recognition software uses sensor information such as GPS data to identify all relevant information necessary for treating victims, such as the driver's identity and medical history.

[0018] Track Me - An option for locations with scattered areas outside the mobile phone service area The Frank Church-River of No Return Wilderness in Idaho shown in Figure 4 is 2.37 million acres (about 96,000 square kilometers). 2) is one of the most remote areas in the contiguous 48 states of the United States, with such a vast area. In this nature reserve, mobile phones hardly work. For example, Dixie in Idaho (population 3,237 as of 2019) is located near this nature reserve, but the mobile communication service area is limited to some areas (as of 2019). Also in Alaska, areas outside the mobile communication service area are extensive. The drive from Woodson in Texas, which is located within Big Bend National Park, to Mariscal Mine, also within Big Bend National Park, shows the problems and solutions. During the 11-mile (about 17.7 km) drive that takes about 55 minutes, the mobile communication service area is not continuous and the communication is interrupted many times. Therefore, in Big Bend National Park, nature reserves, and many national parks, with the telematics option, it is necessary to activate the optional function "Track Me" so that this system can monitor the situation of vehicles in areas where mobile radio waves cannot reach. In that case, when the preset time has elapsed, a call is automatically made to confirm the driver's safety. And when a further specified time has elapsed, an emergency call can also be made. This option is also effective when a vehicle-mounted device fails or when a part of the mobile communication network fails.

[0019] Referring to Figure 5 here, with arrow 501, this system transmits information regarding millions of vehicles to the cloud to optimize emergency response. From vehicle and / or phone applications, GPS location information, speed, acceleration, as well as photos, voices, and / or identity information of passengers are automatically transmitted. In addition, if provided voluntarily by the passengers, medical-related identity information is also automatically transmitted. By also transmitting GPS data from the phone, the GPS data can be made redundant to confirm with the cloud side and minimize the number of inaccurate emergency calls. The cloud collates with a huge database containing collision data and vehicle collision data history, etc., to identify passengers and optimize the response to provide victim assistance within the golden hour.

[0020] GPS data can be transmitted in small packets of about 80 characters per second using a smartphone or in-vehicle computer. Although the system can be complemented with additional data, the severity of a collision, including the collision location and speed, can be adequately confirmed with GPS data. Assuming people getting in and out of the vehicle, changes to medical records occur at most every 10 minutes, so the average size of the main medical data is less than 40 characters per second. Therefore, only 120 bytes per second of data is required. However, the required number of bytes and time intervals can be adjusted according to network storage and bandwidth issues to speed up the response of emergency medical technicians. In the future, with a huge amount of information in the background, data other than GPS and medical information may lead to improvements in emergency response time, and in that case, the transmission of such data will also be possible.

[0021] According to the US Department of Transportation, as of 2021, the number of vehicles in the United States is 276 million, including 156 million trucks, 108 million passenger cars, 8.5 million motorcycles, and 575,000 buses. Also, according to statistical data, the number of smartphone users in the United States as of 2020 is estimated to be 280 million. By diversifying data sources, inaccurate emergency calls can be reduced. For example, if a person on a motorcycle drops their mobile phone, this could indicate a collision, but if the motorcycle is equipped with a tracking device, it can be confirmed that the motorcycle has not been in an accident, avoiding unnecessary emergency calls.

[0022] The bandwidth required to transmit GPS data and medical data at 120 bytes per second is small for any device on a network such as a 5G network. Since the number of vehicles and phones reaches into the millions, even if each data packet is small, hundreds of gigabytes of data are generated per second and several terabytes of data are generated per hour in the cloud. Since the important data is only the data at the time of an actual collision or emergency, the data on the cloud can be discarded regularly to address privacy concerns and reduce the storage capacity required. Using arrow 502 in FIG. 5, data is transmitted to a queue that uses AI (artificial intelligence and / or statistics) to verify the occurrence of a collision. Finally, using arrow 503 in FIG. 5, the cloud reconfirms the GPS location and severity of the collision and dispatches an ideal responder after providing information such as the victim's medical record, optimized to provide victim assistance within the golden hour.

[0023] Figure 6 shows how the system functions using only GPS data from the vehicle and / or mobile phone (601 in Figure 6). As of 2022, most vehicles are not equipped with advanced electronic devices that automatically transmit GPS data. Although a person can call 119 manually, according to this system, the mobile phone application automatically makes an emergency call and provides GPS location data including the speed and severity of the collision, so this system is the optimal solution. According to this system, even when the passengers are unable to make a call, an emergency call can be made automatically. Since GPS data and collision data vary by vehicle type, by only acquiring GPS data, the system collates the historical database of similar vehicles and the GPS profile to confirm the type of the vehicle, i.e., whether it is a passenger car, train, or airplane (602 in Figure 6). Next, parameters such as the speed of the vehicle are used to determine whether a collision has occurred (603 in Figure 6). Then, the system utilizes AI and / or statistical data to minimize unnecessary 119 calls. That is, the response to calls with redundancy by multiple sensors is given top priority (604 in Figure 6). On the other hand, to avoid overloading the emergency call system, the network can set a lower priority for emergency calls consisting only of calls generated by mobile phones (605 in Figure 6).

[0024] Note that Figure 6 shows an example of continuous GPS tracking, but due to privacy concerns, the user can also select to automatically track when a person gets into the vehicle or when a child leaves the house. Ultimately, it is also possible for AI to determine whether to make a 119 call based on big data collected over time, and if there are too many inaccurate 119 calls, it is also possible to adjust the system to limit the tracking target to vehicles. As the collection period of big data becomes longer and the collection and analysis of collision-related data from millions of smartphones and vehicles are repeated, more inaccurate emergency calls can be eliminated.

[0025] Figures 7 to 11 show how tracker data is used to identify the type of movement (such as airplane, skydiving, etc.), correct the errors in GPS data, and calculate the optimal angles and viewpoints for plotting in a 3D interactive map or video. The 3D interactive map or video can be used for witness hearings during accident investigations. Figure 7 summarizes how the acquired data is matched against databases of various types of movement data (ranging from a person to a train, round parachute, ram-air parachute, helicopter, propeller plane, jet plane, spaceship). And a 3D interactive map is automatically created at an angle optimal for witness hearings and accident investigations.

[0026] Figure 12 schematically shows the performance of the present invention. With the present invention, a person's skydiving was tracked hundreds of times from their home to the landing of the skydiving. Using only the GPS data corrected by matching with the historical data for each vehicle type, if a collision or emergency occurs while in a passenger car, an airplane, or during skydiving, it can indicate that. It is a technology optimal for people who operate small airplanes, drive old-fashioned cars, do skydiving, extreme sports, etc. in remote areas where the Advanced Automatic Collision Notification (AACN), an industry-standard collision detection function, cannot be used. The tracking for this witness hearing is shown in monochrome 2D in Figure 12 due to the limitations of the drawings attached to the patent application documents, but in reality, it is displayed in a color 3D map. The present invention detected an emergency situation that a person who moved by car from their home (1201 in Figure 12) to the airport, boarded an airplane (from 1202 to 1203 in Figure 12), and did skydiving using a round parachute or a ram-air parachute (from 1204 to 1205 in Figure 12) might fall into.

[0027] In the present invention, tracking only requires devices such as GPS-enabled mobile phones (e.g., satellite phones, etc.). Thanks to technologies such as satellite communication Starlink, communication with a standard mobile phone has become possible literally anywhere, making it possible to track anyone at any time. As will be described later, according to the present invention, for every hundreds of human lives and approximately 1 million phones tracked, one human life can be saved. However, for that purpose, it is necessary to constantly track all phones. Also, GPS has significant limitations, such as signal interruption in places where GPS satellites cannot be seen, like inside tunnels, valleys, buildings, etc. Therefore, it is necessary to perform error correction on GPS to reflect abnormalities such as interrupted signals. In addition, a phone may have its power turned off or malfunction, and the more sensors used on the phone, the faster its power will be consumed. If these abnormalities are not checked by comparing them with the historical data on the cloud, there is a risk of frequent unnecessary emergency phone calls. However, special attention needs to be paid to mobile phones in remote areas or at night where there may be no witnesses to report an accident. Although there is a risk that an emergency phone call in such a case may also be an unnecessary emergency call, since it is considered that performing a safety check is commensurate with that risk, it is necessary to be more cautious.

[0028] Saving hundreds of lives every year In AACN, (1) sensors such as acceleration sensors and airbag deployment sensors are used to detect collisions, and (2) GPS is only used for location information and not for identifying the location of a collision. Although AACN is powerful, it is costly and requires multiple sensors, consuming power as well. Also, with GPS that does not perform error correction, sufficiently accurate data cannot be obtained. On the other hand, Big Data 119 is unique in that it can determine a collision based only on the acceleration and deceleration of error-corrected GPS. According to the estimate of the US Department of Transportation (AACN Research Report (No. DOT HS 812 729), May 2019), the number of lives saved by AACN is 360, and the benefits obtained from AACN are said to exceed its cost by $2.18 billion. On the other hand, the present invention that utilizes only GPS data can save lives when a vehicle is not equipped with AACN or in situations such as skydiving. Assuming that up to 33% of vehicles are not equipped with AACN or redundancy in collision prediction is obtained by the present invention, it can be said that the present invention can save 120 lives annually and the net benefit will be $720 million.

[0029] Other issues The present invention is considered to be able to track billions of phones and vehicles around the world. As described above, in this system, only GPS data is used to confirm the type of vehicle (such as an airplane or a passenger car) and the presence or absence of a collision in order to make the system easier to manage. Since the vehicle data can be supplemented and reconfirmed with data from the phone, this system is also strengthened by redundancy. In 2014, there was an incident where it cost hundreds of millions of yen to search for Malaysia Airlines Flight 370, which lost communication and crashed. If the power of the passengers' satellite phones had been on at that time, the position of the airplane could have been continuously tracked.

[0030] This system will always discard data at the timing when the movement by vehicle has been safely completed, such as when an airplane lands. Even so, the amount of data is considered to be enormous. Data centers around the world can cooperate to share data such as GPS data. For example, the EU is in charge of movements in Europe, and the United States is in charge of North America, etc. The last key point is privacy. The disclosure of GPS data will be up to the user to choose. Companies such as Google collect large amounts of data for advertising, and there are also allegations that TikTok is being used for data collection by the Chinese government. On the other hand, the data collected for the purpose of this invention is used to identify accidents and save lives. Also, automobile insurance companies can give incentives to people without a GPS vehicle tracking device to simply keep their mobile phones turned on while driving. This is done not to sell to advertising, but to protect one's own safety.

Claims

1. continuously transmitting GPS data from a moving vehicle and / or the GPS of the passenger's smartphone in the vehicle to the cloud; automatically detecting a vehicle collision or other emergency situation solely from the GPS data; comparing the GPS data with a database including the vehicle's collision data history, and if necessary according to the comparison result, automatically reporting to an emergency phone number immediately to provide collision information including the GPS location and severity of the emergency situation; identifying the victim of the emergency situation and transmitting the victim's medical record data and the caller number; tracking all vehicles whose communication between the cloud and the vehicle has been interrupted; when the time when the vehicle communication is interrupted exceeds a preset limit time, automatically calling the driver after a lapse of time selected by the driver to check the driver's status and / or automatically making an emergency phone call; A method for automatically transmitting emergency situation data, comprising the above steps.

2. utilizing the video and / or audio of the vehicle, or application data autonomously uploaded to the computer of the vehicle; confirming the caller number and obtaining medical history, a police report including a criminal record or mental illness history indicating the need for police intervention, and relevant data necessary to immediately initiate appropriate care and response associated with the reported incident type profile; monitoring millions of vehicles and individuals in one country or the world in motion with big data on the cloud, enabling the medical record data of the monitored person to be immediately available for optimal treatment after a collision accident, and using an Advanced Automatic Collision Notification (AACN) and an Injury Severity Score (ISS) to improve the medical treatment provided immediately after a collision; The method according to claim 1, further comprising the above steps.

3. An emergency situation data automatic transmission system having a GPS of a moving vehicle and / or the passenger's smartphone in the vehicle, a cloud having a database including the vehicle's collision data history, and a computer for processing the GPS data of the GPS, wherein: the GPS is provided with means for continuously transmitting the GPS data to the cloud; The computer automatically detects a vehicle collision or other emergency situation only from the GPS data, compares the GPS data with the data in the database, and if necessary according to the comparison result, immediately makes an automatic call to an emergency phone number to provide collision information including the GPS position and severity of the emergency situation, identifies the victim of the emergency situation, and transmits the medical record data and the caller number of the victim; and means for tracking all vehicles whose communication with the cloud and the vehicle has been interrupted, and when the time when the vehicle's communication is interrupted exceeds a preset limit time, automatically makes a call to the driver after a time period selected by the driver to check the driver's status and / or automatically makes an emergency phone call. An emergency data automatic transmission system.

4. The computer continuously monitors from the cloud the GPS position, acceleration, deceleration, altitude, speed, and the state of the vehicle system of a moving vehicle and / or the smartphone of the passengers in the vehicle, saves them in the cloud, compares them with the data in the database, determines whether there is a collision, fire, or other emergency situation, and makes an emergency phone call to provide all medical information and other records related to people who may be injured, and further includes means for requesting the emergency team and / or the police to go to the accident scene. The system according to claim 3.

5. The computer is provided with means for identifying the victim using one or more of the caller number of the smartphone, the vehicle camera, and face and / or voice recognition software. The application of the smartphone automatically provides the information of the victim to the cloud. The computer is provided with means for generating and updating the profile of the victim based on one or more of the data and history data obtained in relation to the report by comparing the optional medical record data linked to the computer with the information of the victim. The history data includes one or more of past report and call data, police records, prison data, social media data, medical records, security records, and customer records. The system according to claim 3.

6. Using the application and / or software of the smartphone linked to the cloud. continuously transmitting the GPS data of the smartphone to track the vehicle and / or the person; checking the occurrence time of a collision by comparing altitude, acceleration, and deceleration data with a database on past collisions of similar vehicles; thereby notifying the cloud of an accurate collision or other emergency and avoiding inaccurate emergency calls; The method according to claim 1, further comprising.

7. further comprising accelerating medical support by responders after a collision or other emergency through tracking via the GPS data and medical record data shared by agreement from an application of the smartphone and / or sensors of the vehicle; The method according to claim 1, wherein by redundantizing the device for performing the tracking, an automatic call to an emergency telephone network is surely made in an emergency that is not due to disappearance and / or damage of the GPS data and / or malfunction of equipment, and / or.

8. The GPS includes GPS data from a smartphone that tracks a vehicle and its passengers; By the computer correcting the GPS data by comparing it with past data, anomalies including interruption or damage of the GPS signal, or loss of power are complemented to create defect-free GPS data, the defect-free GPS data is shared with the cloud, and using the defect-free GPS data, related altitude, speed, acceleration, and other data are calculated to confirm the type of the vehicle being tracked and the occurrence of a collision or other emergency of the vehicle, and the related altitude, speed, acceleration, and other data are stored in the cloud to continuously improve the analysis of vehicle collision data, thereby reducing the possibility of inaccurate emergency calls, and when a collision is detected, an automatic call is made to the emergency telephone network and / or a rescue text message is transmitted to request emergency responders, and further comprising means for plotting the collision on a 3D map after the collision. The system according to claim 3.

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