Description:TRAFFIC ORGANISATION AND MANAGEMENT SYSTEM FOR AN EMERGENCY VEHICLE
BACKGROUND
Field of the invention
[001] Embodiments of the present invention generally relate to a traffic organization and management system and particularly to a system and method for providing a clear path to an emergency vehicle for enhancing the response time of the emergency vehicle by reducing delays and potentially saving lives.
Description of Related Art
[002] Ambulances are an essential component of emergency medical services, acting as the first line of defense in the event of an emergency. These specialized cars are precisely constructed and outfitted to provide quick and secure transportation for people in urgent conditions, ensuring they arrive at hospitals or medical facilities on time. Their effectiveness, however, is frequently hampered by the ever-present issue of traffic congestion, which may cause considerable delays in reaching their objectives.
[003] Traffic congestion is a common issue in metropolitan and densely populated areas, and it poses a significant challenge to ambulance services. When ambulances meet clogged streets, they may be forced to slow down or, in the worst-case scenario, come to a complete stop. This condition may worsen during rush hour, special events, or incidents that further congest the roadways. Ambulances may struggle to get through traffic in such cases, and their response times are considerably reduced. In order to reduce the impact of traffic congestion, emergency responders may reroute ambulances, finding alternative routes to avoid traffic hotspots. Rerouting, on the other hand, may result in higher travel distances, thereby causing additional delays in reaching the hospital. Furthermore, relying on alternate routes may be difficult logistically and necessitate cooperation with dispatchers to ensure that the patient's condition remains stable throughout the lengthy voyage.
[004] There is thus a need for a traffic management system that may efficiently create a clear way for emergency vehicles, thereby saving patients' lives.
SUMMARY
[005] The main objective of this invention is to develop a system that optimizes the routes of emergency vehicles, minimizing response and delay times. This solution solves the issue of emergency medical response times being delayed due to traffic congestion.
[006] Another objective of the present invention is to develop a system that increases the possibility of patients receiving quick medical attention, potentially improving their outcomes and saving lives.
[007] Embodiments in accordance with the present invention provide a traffic organization and management system for an emergency vehicle. The system includes an emergency vehicle that is equipped and organized for the specific purpose of transporting a user requiring medical care to a hospital or healthcare facility. The system further includes a central server for determining the most efficient and quickest route for the emergency vehicle. The system further includes an emergency alert light which is strategically positioned at traffic intersections to alter traffic light patterns in real-time to ensure that the emergency vehicle passes through intersections smoothly and without obstruction. The system further includes a communication module to facilitate seamless communication between the emergency vehicle and the central server. The system further includes a storage module for storing data including, hospital’s location, type of emergency, different routes, or a combination thereof, facilitating in predicting optimized route for the emergency vehicle.
[008] The emergency vehicle further includes a Global Positioning System (GPS) module installed within the emergency vehicle, configured to accurately determine and track the precise geographical location of the emergency vehicle. The emergency vehicle further includes plurality of sensors installed into the emergency vehicle, configured to detect speed of the emergency vehicle and medical equipment present in the emergency vehicle. The emergency vehicle further includes a microcontroller connected to the GPS module, and the plurality of sensors to collect data, process, and analyze the collected data to determine the real-time location and speed of the emergency vehicle, and transmit the determined real-time location and speed of the emergency vehicle to a central server for determining the most efficient and quickest route for the emergency vehicle.
[009] Embodiments in accordance with the present invention further provide a method for clearing traffic ahead of the emergency vehicle. The method includes collecting real-time data from the emergency vehicle, including its location, speed, and the status of medical equipment, utilizing IoT devices equipped for this purpose followed by transmitting collected data to the microcontroller for subsequent processing and analysis. The method further includes processing and analyzing the received data to determine crucial information such as the emergency vehicle's speed, current location, and the availability of medical equipment within the emergency vehicle, followed by transmitting analyzed data to the central server for determining the optimal path. The method further includes enabling the central server to analyze the received data using Node.js to determine the optimal path for emergency vehicle and allowing a human operator to provide specific commands to the emergency alert light based on the determined path. The method further includes processing and executing the received commands including altering emergency vehicle routes, coordinating traffic lights, or delivering real-time instructions to guide traffic and ensure a clear path for the emergency vehicle.
[0010] Embodiments of the present invention may provide a number of advantages depending on its particular configuration. First, embodiments of the present application provide a method for providing a clear path to an emergency vehicle for enhancing response time of the emergency vehicle by reducing delays and potentially saving lives.
[0011] Next, embodiments of the present application may reduce traffic congestion by directing vehicles to make way for emergency vehicle. This not only helps emergency vehicles but also reduces traffic congestion and aids in improving the chances of patients surviving life-threatening emergencies.
[0012] Next, embodiments of the present application may improve the efficiency of emergency vehicle resource utilization. The emergency vehicles are steered to crises using real-time data, which reduces unnecessary travel while increasing effectiveness.
[0013] These and other advantages will be apparent from the present application of the embodiments described herein.
[0014] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0015] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0016] FIG. 1 depicts a traffic organization and management system for an emergency vehicle, according to an embodiment of the present invention;
[0017] FIG. 2 provides a flowchart of a method for clearing traffic ahead of the emergency vehicle, according to an embodiment of the present invention;
[0018] FIG. 3 depicts a flowchart representing coordination process of the emergency medical response, according to an embodiment of the present invention;
[0019] FIG. 4 depicts a flowchart representing real-time data collection and transmission process within the system, according to an embodiment of the present invention;
[0020] FIG. 5 depicts a flowchart representing predictive analysis and route optimization process for the emergency vehicle, according to an embodiment of the present invention;
[0021] FIG. 6 depicts a flowchart representing the dynamic traffic light control process for guiding the traffic and create clear path for the emergency vehicle, according to an embodiment of the present invention;
[0022] FIG. 7 depicts a flowchart representing the emergency alert system process, according to an embodiment of the present invention; and
[0023] FIG. 8 depicts a flowchart representing the integration of IoT and cloud computing process for seamless communication within the system, according to an embodiment of the present invention.
[0024] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.
DETAILED DESCRIPTION
[0025] 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.
[0026] 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.
[0027] 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.
[0028] FIG. 1 depicts a traffic organization and management system 100 for an emergency vehicle 102, according to an embodiment of the present invention. The system 100 may be configured to resolve the serious issue of emergency medical response delays caused by road congestion. Furthermore, the system 100 may be configured to provide real-time traffic analysis and predict optimized routes. Furthermore, the system 100 may be configured to minimize emergency vehicle response time by continuously optimizing routes in real-time, ensuring quick and effective traffic navigation.
[0029] In addition, the system 100 may be configured to incorporate real-time data, assess traffic conditions, and send out dynamic emergency notifications. This ensures that the system 100's responses are adaptive and dynamic in real time to changing conditions. Furthermore, the system 100 depends on IoT devices and cloud computing to provide smooth communication among the system 100's numerous components.
[0030] According to an embodiment of the present invention, the traffic organization and management system 100 further includes an emergency vehicle 102, a central server 104, a plurality of emergency alert lights 106a-106n, communication module 108, and a storage module 110.
[0031] The emergency vehicle 102 may be configured to respond in an urgent situation, typically equipped for transporting medical, fire, or law enforcement personnel and equipment to emergency scenes or hospitals. According to an embodiment of the present invention, the emergency vehicle 102 may be, for example, but not limited to an ambulance, fire truck, police car, paramedic unit, rescue vehicle, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the emergency vehicle 102 including known, related art, and/or later developed technologies. In the preferred embodiment, the ambulance is utilized as the emergency vehicle 102, equipped and organized for the specific purpose of transporting a user’s required medical care to a hospital or healthcare facility.
[0032] Further, the emergency vehicle 102 is equipped with various components such as a global positioning system (GPS) module 112, a plurality of sensors 114a-114n, and a microcontroller 116. Furthermore, all the components such as the GPS module 112, the plurality of sensors 114a-114n, and the microcontroller 116 are customized to fit within the emergency vehicle 102’s layout, ensuring seamless integration without hindering medical equipment or staff.
[0033] The global positioning system (GPS) module 112 installed within the emergency vehicle 102, is configured to accurately determine and track the precise geographical location of the emergency vehicle 102. The primary function of the GPS module 112 is to receive signals from multiple satellites in the Global Positioning System constellation and use these signals to determine the GPS module 112's precise location on earth in terms of latitude, longitude, and altitude.
[0034] According to an embodiment of the present invention, the GPS module 112 is commonly used in a wide range of applications, including navigation systems, vehicle tracking, geographic information systems (GIS), and in various devices that require accurate location information.
[0035] The plurality of sensors 114a-114n (hereinafter referred to as sensor 114) are installed inside the emergency vehicle 102, configured to detect the speed and status of medical equipment of the emergency vehicle 102. Further, the sensor 114 may be designed specifically to monitor the real-time speed and status of the medical equipment within the emergency vehicle 102. Notably, sensor 114 has an incredibly fast response time when it comes to detecting these key characteristics. This response time may be as low as 2 seconds or as long as 3 seconds, 5 seconds, 10 seconds, and so on.
[0036] Furthermore, the sensor 114 may take many different forms in one embodiment, including but not limited to vibration sensors, tilt sensors, load cells, temperature sensors, radio-frequency identification (RFID) sensors, vehicle speed sensors, laser speed sensors, hall effect sensors, and others. In the preferred embodiment, speed sensor and medical equipment sensor are utilized for detecting speed of the emergency vehicle 102 and presence of medical equipment within the emergency vehicle 102 respectively.
[0037] The microcontroller 116 connected with the GPS module 112, and the sensor 114 to determine location, speed and medical equipment status of the emergency vehicle 102. In the preferred embodiment, ESP microcontroller, often referred to as ESP8266 and ESP32, are a series of highly popular and versatile microcontroller is utilized. The microcontroller 116 in the preferred embodiment collects data from both the GPS module 112 and the sensor 114. Following that, the microcontroller 116 processes and analyses data by applying a machine learning algorithm to determine the speed and specific location of the emergency vehicle 102. Once the emergency vehicle 102's speed and location are determined, the microcontroller 116 transmits this information to the central service 106 via the communication module 108. In addition to this, the microcontroller 116 further utilizes incoming data to predict traffic congestion, and anticipate potential obstacles.
[0038] The central server 104 may be configured to process the incoming data and compare it with various parameters to provide specific commands. Further, the central server 104 utilizes custom-developed algorithms for route optimization, traffic analysis. In addition to this, the central server 104 utilizes potential mathematical models for predicting traffic patterns in order to optimizing emergency vehicle 102’s routes efficiently. Further, the central server 104 utilizes Node.js for backend services. In the preferred embodiment, the central server 104 includes a wide range of both hardware and software components that have been methodically assembled for functions such as data processing, analysis, and route optimization.
[0039] In one example, the central server 104 receives data from the microcontroller 116 using the MQTT protocol. Following that, the supplied data is processed using custom-developed algorithms, machine learning algorithms, and potential mathematical model for predicting traffic pattern, anticipate potential obstacle, and optimizing emergency vehicle 102’s route effectively. A central room is built within this system 100, which is overseen by a human operator. This central room is in charge of constantly monitoring incoming data and cross-referencing it with different essential parameters to determine the best path for the emergency vehicle 102.
[0040] These parameters may include, but are not limited to, the type of emergency, real-time traffic conditions, hospital locations, and others. Embodiments of the present invention are intended to include or otherwise cover any parameter including known, related art, and/or later developed technologies for optimizing routes uniquely. After comparing and assessing the incoming data, such as the speed and location of the emergency vehicle 102, the human operator takes action by providing commands to the plurality of emergency alert lights 106a-106n. This intervention optimizes the emergency vehicle 102's route, ensuring a quick and effective reaction to the emergency situation.
[0041] The plurality of emergency alert light 106a-106n (hereafter referred to as emergency alert light 106) is connected with the central server 104 and placed strategically at the traffic intersection to alter traffic light patterns in real time to ensure that the emergency vehicle 102 passes through intersections smoothly and without obstruction. Further, these emergency alert light 106 may be configured to synchronize with approaching emergency vehicle 102, which is managed by the human operator to provide commands to a clear route for the emergency vehicle 102.
[0042] According to another embodiment of the present invention, the emergency alert light 106 is triggered by the central server 104 using custom-developed algorithms to guide traffic. Further, these emergency alert lights 106 have been precisely constructed to ensure their visibility over long distances while accommodating a variety of weather and lighting situations. Furthermore, their role is to direct traffic and create a clear path for the emergency vehicle 102. In addition to this, the emergency alert light 106 responds dynamically based on real location and speed of the emergency vehicle 102. This dynamic response is perfectly synchronized with the incoming emergency vehicle 102, allowing it to smoothly pass through intersections.
[0043] The communication module 108 may be configured to facilitate seamless communication between the emergency vehicle 102 and the central server 104. The communication module 108 may include a data network such as, but not limited to, an Internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Metropolitan Area Network (MAN), and so forth. In some embodiments of the present invention, the communication network 116 may include a wireless network, such as, but not limited to, a cellular network and may employ various technologies including an Enhanced Data Rates for Global Evolution (EDGE), a General Packet Radio Service (GPRS), and so forth.
[0044] In the present invention, the communication module 108 utilizes MQTT protocols and cloud computing for seamless communication between the emergency vehicle 102 and the central server 104, enabling real-time data analysis and response coordination. The integration of a Mosquitto protocol, which acts as a broker, streamlines the seamless interchange of data between the emergency vehicle 102 and the central server 104, and strengthens communication within the system 100.
[0045] The storage module 110 may be configured to store data related to the training organization and management system 100. According to an embodiment of the present invention, the data may be, for example, but not limited to the hospital’s location, type of emergency, different routes, and so forth. This includes any existing, relevant, or future data types that are required for predicting an optimized route for the emergency vehicle 102.
[0046] FIG. 2 provides a flowchart of a method 200 for clearing traffic ahead of the emergency vehicle 102, according to an embodiment of the present invention.
[0047] The system 100's process begins at 202, where real-time data is collected from the emergency vehicle 102 via IoT devices. In one example, the system 100 uses IoT devices such as the GPS module 112 and sensor 114 to collect critical information such as the position, speed, and status of medical equipment within the emergency vehicle 102. Another IoT device, the microcontroller 116, is allocated to receive and process the acquired data.
[0048] At 204, the microcontroller 116 processes and analyses the received data using machine learning algorithms to determine information such as the emergency vehicle 102's speed, position, and availability of medical equipment. Once this data is determined, the microcontroller 116 sends it to the central server 104 via the specific communication module 108 to find optimal path for the emergency vehicle 102.
[0049] At 206, the central server 104 uses custom-developed algorithm and node.js as backend service to conduct a thorough analysis of the received data. During this analysis, the central server 104 compares the received data to a variety of crucial parameters, such as traffic congestion, the type of emergency, the hospital’s location, and more. The goal is to determine the best path for the emergency vehicle 102. When this comparison is finished, the central server 104 provide specific commands, which may include altering route based on situational awareness, ensuring human oversight, decision-making capabilities, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the command including known, related art, and/or later developed technologies.
[0050] Finally, at 208, the central server 104 executes these precise commands, causing the emergency alert light 106 to illuminate. In the preferred embodiment, the emergency alert light 106 is critical in directing traffic and establishing a clear and unobstructed path for the emergency vehicle 102.
[0051] FIG. 3 depicts a flowchart representing coordination process 300 of the emergency medical response, according to an embodiment of the present invention.
[0052] The process 300 begins at 302 when the central room receives an emergency call indicating the need for medical help.
[0053] At 304, upon receiving call, the central room determines the nearest available emergency vehicle 102 and assign emergency medical team. Upon assigning the emergency medical team, the central room dispatches the emergency vehicle 102 to the emergency location.
[0054] At 306, after dispatching the emergency vehicle 102, the central server 104 undertakes an analysis of the emergency vehicle 102's intended route and takes charge of traffic condition management. Additionally, the central server 104 offers an optimized route to the emergency vehicle 102 and guarantees the provision of an unobstructed path for the emergency vehicle 102 as it navigates traffic intersections, thereby facilitating the swift arrival of the emergency vehicle 102 at the emergency location.
[0055] At 308, as the emergency vehicle 102 reaches at the emergency location, the medical team provides emergency care and stabilization to the patient. In addition to this, the central server 104 monitors the progress of the patient and ensure that the situation is under control.
[0056] At 310, the emergency vehicle 102 is dispatched to the hospital, and throughout this process, the central server 104 continually monitors the emergency vehicle 102's location, speed, and prevailing traffic conditions. Based on this information, the central server 104 offers an optimized route to the emergency vehicle 102. Furthermore, once the optimized route is provided, the central server 104 activates the emergency alert lights 106 situated along the emergency vehicle 102's route. The emergency alert light 106 guide the flow of traffic and ensure an unobstructed path for the emergency vehicle 102, facilitating its smooth passage.
[0057] At 312, the emergency vehicle 102 arrives at the hospital and the patient is handed over to the hospital staff for further medical care.
[0058] FIG. 4 depicts a flowchart representing real-time data collection and transmission process 400 within the system 100, according to an embodiment of the present invention.
[0059] At 402, the emergency vehicle 102 starts collecting real-time data about its location, speed, and medical equipment status. The emergency vehicle 102 accomplishes this by utilizing IoT devices such as the GPS module 112 and sensor 114.
[0060] At 404, the system 100 undertakes a critical check on IoT connectivity and sensor readings. This verification aims to ensure accuracy of collected data as well as the stability of connections with IoT devices. Following this check, there are two possible outcomes whether the IoT devices maintain a stable connection and deliver accurate data or the IoT devices have an unstable connection and supply wrong data. In case, the IoT devices have an unstable connection and supply wrong data, the procedure proceeds to step 406. In another case, if the IoT devices maintain a stable connection and deliver accurate data then the process 400 moves to step 408.
[0061] At 406, the system 100 follows the connecting process and moves to the step 402 for collecting real-time emergency vehicle 102’s data. This steps iterates continuously until a stable connection is established and correct data is collected.
[0062] At 408, after successfully collecting correct data, the IoT device transferred them to the central service using communication module 108.
[0063] At 410, the central server 104 processes and analyzes the received data using node.js and custom-developed algorithms to find the optimized route for the emergency vehicle 102.
[0064] At 412, the central server 104 stores the processed data in its storage module 110 for future reference. It also analyses this data for forecast purposes, route optimization, and other applications. Further, the prediction of the optimized route will be explained in FIG. 5.
[0065] FIG. 5 depicts a flowchart representing predictive analysis and route optimization process 500 for the emergency vehicle 102, according to an embodiment of the present invention.
[0066] At 502, the system 100 begins route optimization process 500 by collecting real-time data from the emergency vehicle 102's IoT devices..
[0067] At step 504, the system 100 begins the analysis by examining both pre-stored historical data and real-time traffic conditions. This evaluation is carried out to determine the current state of the route.
[0068] At 506, upon determining current state of the route, two conditions may arise, the route may be fixed or may be variable. If it is determined that the route is fixed, the process 500 moves to step 508, fixed route optimization. The path of the emergency vehicle 102 is optimized in this phase based on past data and current traffic circumstances.
[0069] In another case, if the determined route is variable, then the process 500 proceed to step 510, variable route optimization. In variable route optimization, the system 100 involves support of technical staff to analyze the situation and recommend the optimal route considering the real-time data.
[0070] At 512, the central server 104 determines the best-optimized route on the basis of predictive analysis and current traffic conditions. In an exemplary scenario, the central server 104 employs predictive analysis, taking into account historical data and utilizing algorithms. This approach considers previous traffic patterns as well as possible changes that may occur during the emergency vehicle 102's travel. This predictive approach is critical for determining the best path to the emergency vehicle 102.
[0071] Finally, at 514, the central server 104 sends the optimized route to the emergency vehicle 102, ensuring a timely response. It is worth noting that, in addition to route optimization, efficient traffic control is critical in speeding the response to the patient's condition. Further, traffic control will be explained in FIG. 6.
[0072] FIG. 6 depicts a flowchart representing the dynamic traffic light control process 600 for guiding the traffic and create clear path for the emergency vehicle 102, according to an embodiment of the present invention.
[0073] At 602, the central server 104 sends routing decisions to the emergency vehicle 102. In the preferred setup, these routing decisions include directions for the shortest path to the hospital.
[0074] At 604, based on the routing decision sent in step 602, the central server 104 takes the initiative to check the status of traffic lights and the current location of the emergency vehicle 102.
[0075] If it is determined at step 606 that the incoming emergency vehicle 102 is not approaching a controlled intersection, the process 600 proceeds to step 608, where it continues to monitor the position of the emergency vehicle 102 as well as the status of traffic lights. This constant awareness is maintained even if the vehicle is not yet approaching the intersection. Further, if the incoming emergency vehicle 102 is actually approaching the intersection, the process 600 proceeds to step 610.
[0076] At 610, the central server 104 dynamically controls the traffic light using IoT connectivity and MQTT protocols. This command causes the lights to turn blue, resulting in a clear and unobstructed way for the arriving emergency vehicle 102. This preventative step speeds up the emergency vehicle 102's passage and assures a quick response.
[0077] FIG. 7 depicts a flowchart representing the emergency alert system process 700, according to an embodiment of the present invention.
[0078] The process 700 starts at 702 when the emergency vehicle 102 enters in a 700-meter (m) radius of the intersection.
[0079] At 704, the central server 104 determines whether the emergency vehicle 102 successfully passes through the traffic intersection. If the central server 104 determines that the emergency vehicle 102 pass through the intersection, the process 700 moves on to step 706. If the emergency vehicle 102 does not pass through the intersection, the process 700 proceeds to step 708.
[0080] At 706, the central server 104 deactivates the emergency alert light 106. This deactivation process begins because the emergency vehicle 102 has already driven past the intersection and the emergency alert light 106 is no longer required.
[0081] At step 708, the central server 104 determines which signal must be activated based on the suggested path and specific instructions. This signal may include attributes such as the color and direction of the emergency alert light 106 in the ideal arrangement.
[0082] At step 710, the central server 104 activates the determined signals, which aid in indicating the direction of the emergency vehicle 102 to ahead traffic. This allows for safe navigation of the emergency vehicle 102.
[0083] FIG. 8 depicts a flowchart representing the integration of IoT and cloud computing process 800 for seamless communication within the system 100, according to an embodiment of the present invention.
[0084] At 802, the system 100 actively collects real-time data of the emergency vehicle 102 by utilizing IoT devices such as the GPS module 112, speed sensor, and medical equipment sensor.
[0085] At 804, the IoT device such as microcontroller 116 sends collected data to the MQTT broker (Mosquitto) using the MQTT protocol. The MQTT protocol is used to ease this communication, assuring the efficiency and reliability of data delivery.
[0086] At 806, the system 100 creates and configures an AWS cloud EC2 instance to act as the MQTT broker's hosting environment. This EC2 instance has the Mosquitto broker installed and configured to allow for easy connection with IoT devices.
[0087] At 808, the system 100 begins the critical task of processing the received real-time data with Node.js. This not only allows communication between IoT devices and the MQTT broker pre-hosted on the EC2 instance, but it also lays the groundwork for additional data processing within the cloud environment. The data is safely saved, and extensive analysis is carried out to give insights critical for optimizing emergency response plans.
[0088] Embodiments of the invention are described above with reference to block diagrams and schematic illustrations of methods and systems according to embodiments of the invention. It will be understood that each block of the diagrams and combinations of blocks in the diagrams can be implemented by computer program instructions. These computer program instructions may be loaded onto one or more general purpose computers, special purpose computers, or other programmable data processing apparatus to produce machines, such that the instructions which execute on the computers or other programmable data processing apparatus create means for implementing the functions specified in the block or blocks. Such computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the function specified in the block or blocks.
[0089] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
[0090] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims.
, Claims:I/We Claim:
1. A traffic organization and management system (100) for an emergency vehicle (102), the system (100) comprising:
an emergency vehicle (102) equipped and organized for transporting a user requiring medical care to a hospital or healthcare facility, wherein the emergency vehicle (102) comprises:
a Global Positioning System (GPS) module (112) installed within the emergency vehicle (102), configured to accurately determine and track the precise geographical location of the emergency vehicle (102);
a plurality of sensors (114a-114n) installed into the emergency vehicle (102), configured to detect speed of the emergency vehicle (102) and medical equipment present in the emergency vehicle (102);
a microcontroller (116) connected to the GPS module (112), and the plurality of sensors (114a-114n), wherein the microcontroller (116) is configured to:
collect data from the GPS module (112), and the plurality of sensors (114a-114n);
process and analyze the collected data to determine the real-time location and speed of the emergency vehicle (102); and
transmit the determined real-time location and speed of the emergency vehicle (102) to a central server (104) to determine the most efficient and quickest route for the emergency vehicle (102).
a plurality of emergency alert lights (106a-106n) connected with the central server (104) and placed strategically at traffic intersections to alter traffic light patterns in real time to ensure that the emergency vehicle (102) passes through intersections smoothly and without obstruction.
2. The system (100) as claimed in claim 1, wherein the central server (104) process the incoming data and compares with various parameters to provide specific commands, including altering route based on situational awareness, ensuring human oversight, decision-making capabilities, or a combination thereof.
3. The system (100) as claimed in claim 1, wherein the central server (104) considers parameters, such as traffic congestion, emergency type, hospital locations, or a combination thereof to adjust the emergency vehicle (102)’s route for the fastest response time dynamically.
4. The traffic organization and management system (100) as claimed in claim 1, wherein the system (100) further includes a communication module (108) to facilitate seamless communication between the emergency vehicle (102) and the central server (104).
5. The system (100) as claimed in claim 1, wherein the communication module (108) utilizes MQTT protocols and cloud computing for seamless communication between the emergency vehicle (102) and the central server (104), enabling real-time data analysis and response coordination.
6. The system (100) as claimed in claim 1, wherein the system (100) further includes a storage module (110) for storing data including, hospital’s location, type of emergency, different routes, or a combination thereof, facilitating in predicting optimized route for the emergency vehicle (102).
7. A method (200) for clearing traffic ahead of an emergency vehicle (102), the method (200) comprises;
collecting real-time data from the emergency vehicle (102), including its location, speed, and the status of medical equipment using IoT devices equipped for this purpose, followed by transmitting collected data to the microcontroller (116) for subsequent processing and analysis;
processing and analyzing the received data to determine crucial information such as the emergency vehicle (102)'s speed, current location, and the availability of medical equipment within the emergency vehicle (102), followed by transmitting analyzed data to the central server (104) using communication module (108) for determining optimal path;
enabling central server (104) to analyzes the received data using Node.js and custom-developed algorithms to determine the optimal path for emergency vehicle (102), and allowing a human operator to provide specific commands to the emergency alert light (106) based on the determined path; and
processing and executing the received commands including altering emergency vehicle routes, coordinating traffic lights, or delivering real-time instructions to guide traffic and ensure a clear path for the emergency vehicle (102).
8. The method (200) as claimed in claim 7, wherein the IoT devices may include, GPS module (112), plurality of sensor (114a-114n), microcontroller (116), or a combination thereof.
9. The method (200) as claimed in claim 7, wherein the central server (104) considers factors including, traffic congestion, emergency type, hospital location, or a combination thereof to dynamically adjust the emergency vehicle (102) route for the fastest response.
10. The method (200) as claimed in claim 7, wherein the communication module (108) utilizes IoT devices and cloud computing to facilitate communication between the emergency vehicle (102) and the central server (104), enabling real-time data analysis and response coordination.