More About TNEV

TRAFOMATIC NETWORK FOR EMERGENCY VEHICLE

ABSTRACT:

Current traffic conditions in Indian cities pose significant challenges, especially for emergency vehicle movement. Addressing this issue, we present an improved solution to facilitate emergency vehicle transportation. Our project aims to interconnect traffic signals, emergency vehicles, and hospitals through the Trafomatic Network for Emergency Vehicles (TNEV) system. Leveraging Global Positioning System (GPS), Artificial Intelligence (Computer Vision) and IoT sensors, this system proactively communicates with signals and medical facilities, notifying them about approaching emergency vehicles. The TNEV system takes vital steps to optimize emergency vehicle mobility in congested areas.

Furthermore, we introduce "Blue Chests", integrated data boxes in emergency vehicles. Operating on data analysis and cloud computing, they securely store patient and driver information, deterring criminal activities. The "Blue Chests" contain diverse data, including nearby hospitals, optimal routes, audio-visual footage, and ECG records, enhancing overall patient safety.

The standout feature, the "Blue Light", distinguishes our solution. Installed in traffic signals, it illuminates as an emergency vehicle approaches, signaling bystanders to clear the way. This innovative approach significantly minimizes unnecessary delays for emergency vehicles.

INTRODUCTION: 

India ranks 3rd in terms of total accidents across 195 countries as reported in the World Road Statistics by IRF [International Road Federation].The growing traffic is becoming a major consequence in our country now a days .

According to a report published by Times of India in 2016 about 1,46,133 people were killed in road accidents in India. Unfortunately about 30% of deaths are caused due to delayed ambulance.

Another Indian government data shows. More than 50% of heart attack cases reach hospital late , which can constitute unavailability of ambulances too but majority of it is due to patients stuck in traffic.

We would like to present TNEV an automated system that would make transportation of emergency vehicles more efficient. The concept of this project is to connect each and every traffic signal and emergency vehicles around the city. This network will create communication with each signal enabling the stop light signals to regulate traffic efficiently according to the Emergency Vehicles position.

The purpose of the project TNEV is to decrease the ratio of death due to delayed emergency vehicles and save human lives simultaneously. The scope of our project is to implement the TNEV system in all Traffic signals over the field and make emergency vehicles move much easier than usual and save the precious thing that is human life without any trouble or disturbance for the current TCS (Traffic control system).

The technologies used in the system are real-time control systems via Artificial Intelligence, a GPS tracking system, Cloud computing, IOT sensors, Data Visualization and Analysis. .           

Fig: 1 - People killed and injured due to Road accidents.

PROBLEM STATEMENT & OBJECTIVE:

India ranks 3rd in terms of total accidents across 199 countries as reported in the World Road Statistics by IRF [International Road Federation]. The growing traffic is becoming a major consequence in our country nowadays. According to a report published by Times of India in 2016 about 146,133 people were killed in road accidents in India. Unfortunately, about 30% of deaths are caused due to delayed ambulances. According to an All India Institute of Medical Science(AIIMS) report, 2020 98.5 percent of ambulances carry dead bodies as they are late in reaching the spot. Everyday in India, 24,012 patients die due to delay in getting medical help as ambulances are delayed due to traffic. (Source: radhee.com)

Traffic in Indian cities is very critical nowadays. Most of the time it is being challenged for emergency transportation services. We have a solution that would make the transportation of Emergency vehicles easier. The concept of this project is to connect every traffic Signal and Emergency Vehicle with our TNEV system. This network acts as communication with each traffic signal and emergency vehicle through radio frequency waves and alerts our system before an emergency vehicle reaches the signal, thus allowing our system to regulate traffic more efficiently, clearing a path for emergency vehicles to move conveniently. This system will make essential measures to make emergency vehicles move much better in crowded areas.

CONCEPT OF THE SOLUTION:

As far, we would like to present our solution that would make transportation of emergency vehicles more efficient. The concept of this project is to connect every signal and emergency Vehicles with our TNEV system that makes transportation safer and easier. This system will create an active connection between each traffic signal , emergency vehicles and Hospitals using Global Positioning System - GPS and IOT sensors and alerts our system before an emergency vehicle reaches the signal. TNEV system will make essential measures to make the emergency vehicles move much better in crowded areas. And also, “Blue chest” a data box has to be installed in the emergency vehicle which works in the basis of data analysis and cloud computing model that extract each and every data of the patient and driver information, which ensures security and safety in order to prevent any kind of criminal offences. These “Blue chests” are also rich in data that provides details such as hospitals nearby, appropriate route way, video and audio footage and ECG record which ensures the safety of the patient. A “Blue Light” , the main Unique Selling Proposition of Our Product to be installed in the stop light signals that glows when an emergency vehicle is in that particular range, indicating the crowd that an emergency vehicle is approaching urging them to clear the path for the Emergency Vehicle. Which results in preventing the avoidable time delay of Emergency Vehicles.

LITERATURE SURVEY:

In the process of our research, we conducted an extensive review of various articles and surveys to gather insights and relevant information in the field of traffic management and emergency vehicle transportation.

Article [1]: This article proposes an adaptive signal control technology that employs strategically placed sensors to monitor and optimize traffic flow. While this technology effectively reduces travel times by intelligently managing traffic, its limitations become apparent in emergency situations where the priority is given to emergency vehicles.

Article [2]: Another market solution highlighted in this article involves the utilization of Internet of Things (IoT) devices, specifically ZigBee technology. This approach revolves around the concept of Emergency Vehicle Priority and Self Organized Traffic Control (EVP-STC). The system comprises three main components:

1. Intersection Controller: Positioned at traffic signals, this unit collects and processes traffic data.
2. Road Segment Sensor: Installed on road segments, this component senses traffic and communicates with the intersection controller using ZigBee.
3. GPS in Vehicles: Emergency vehicles are equipped with GPS systems that transmit their coordinates to the intersection controller, ensuring timely adjustments to traffic signals and minimizing delays.

Article [3]: The third article suggests a straightforward market solution involving the use of sensors to detect vehicles and subsequently regulate traffic flow. This approach builds upon the existing Adaptive Signal Control Technology, modifying it slightly to accommodate dynamic traffic scenarios around sensor-detected vehicles.

In summary, the reviewed articles highlight various strategies aimed at improving traffic management and accommodating emergency vehicle transportation. The adaptive signal control technology in Article [1] and the Emergency Vehicle Priority system using IoT in Article [2] offer promising avenues for efficient traffic flow. The concept of sensor-based traffic regulation discussed in Article [3] presents a simpler approach to address traffic dynamics. Each of these approaches contributes valuable insights to the ongoing efforts in enhancing traffic control and facilitating emergency vehicle movement.

The above-mentioned selection of three articles represents a subset of the extensive literature we surveyed in the course of our research for the Trafomatic Network for Emergency Vehicles (TNEV) project. While these articles are not exhaustive, they stand as representative examples that offer valuable insights into the field of efficient traffic management and optimized emergency vehicle transportation.

Article [1]:

Reference Link: http://bitly.ws/S5qI

Authors: Zulqarnain H. Khattak, Michael D. Fontaine, Richard A. Boateng 

Article [2]:

Reference Link: http://bitly.ws/S5nI

Author: M.E. Harikumar

Article [3]:

Reference Link : http://bitly.ws/S5p6

Authors: Huajun Chai, H.M. Zhang,                 Dipak Ghosal

CURRENT SOLUTIONS:

The current solutions The Green Corridor surely will be helpful in regulating traffic and making way for the emergency vehicle. But the problem is these are manual systems. And also, nothing is possible without support from the society/common people. Our project focuses on getting support from the public by making awareness through blue light. This is a completely automated process.

Methodology:

TNEV enables to connect the Traffic Signals and Emergency Vehicles to communicate in an efficient manner that controls and manage the real time traffic scenarios. We use Artificial Intelligence, Data Analysis, Global Positioning System, cloud computing and Sensors in this working Methodology.

WORK PLAN:

TNEV work plan consists of two systems: a main system and a backup system.

Main System’s Work Plan:

The main system’s work plan consists of Cloud Computing and maps API.

When the coordinates match with the stop light zone coordinates that have been already trained, the process begins. The green and the blue light glows and other paths become red until the emergency vehicle passes out of the zone.

Backup System’s Work Plan:

A Computer Vision-Based Back-Up System enhances the reliability and resilience of the traffic management setup.

WORKING PROCESS:

Main System:

The Process:

Every Coordinates around the stop light signals are trained after doing some crowd analysis near stop light signals and these are customizable. The EMV’s coordinates are continuously updated to the cloud and every 5 seconds the pulling mechanism takes place. When the coordinates match our system takes immediate action and changes the signal lights allowing emergency vehicles to pass through easily.

Back Up System:

Using Object detection:

In the Trafomatic Network for Emergency Vehicles, the incorporation of a Computer Vision-Based Back-Up System enhances the reliability and resilience of the traffic management setup. This back-up system utilizes advanced Computer Vision algorithms to detect emergency vehicles in case the primary detection system encounters issues or failures. This article outlines the key components and processes of the Computer Vision-Based Back-Up System, emphasizing its critical role in ensuring uninterrupted and efficient detection of emergency vehicles.

Work Flow;

1. Main System Functions
2. Failure in Main System
3. Redundant Camera Network
4. Parallel Computer Vision Processing
5. Emergency Vehicle Detection
6. Data Synchronization with Primary System
7. Automated Alerting System and Signal changes

The Computer Vision-Based Back-Up System implemented in the Trafomatic Network for Emergency Vehicles is a pivotal component that ensures the uninterrupted detection of emergency vehicles. By relying on redundant camera networks, parallel Computer Vision processing and the Back-Up System guarantees that emergency vehicles are promptly identified, allowing traffic signals to grant them priority passage efficiently. The use of advanced Computer Vision techniques and automated alerting further enhances the system's reliability and responsiveness, making it a critical asset in the overall Trafomatic Network for Emergency Vehicle system.

360° PROJECT VALUE:

SUSTAINABILITY:

TNEV’s ultimate goal is to satisfy Sustainability that broadly aims for Human lives without interpreting the public and with concern to the society, our innovation delivers a wide range of service to the society which helps in saving irreplaceable lives.

EXPERIENCE: 

TNEV will be well trained and experienced over the scenarios of Society and Situations, which itself can handle in future. Our system will be well experienced using AI & ML to handle any real time circumstances.

FINANCIAL:

Do human lives have a cost estimate! The Financial esteem of our TNEV system, considered to be Human Lives is much feasible, as Human Lives matters more than money.

CLIENT i.e., PUBLIC / SOCIETY:

At the End, there will be changes in the Society with disciplined Traffic Solutions. TNEV promotes Humanity and Socialism which makes the society help and support the good Initiatives. In such a way that our TNEV system will stand in everyone’s Heart and it helps save many lives.

UNIQUE FEATURES:

THE BLUE LIGHT:

A blue light in the signal to be installed in the stop light signals, that intimates the arrival of an emergency vehicle in that particular lane creating awareness among people and urging them to clear the path for the emergency vehicle.

Sometimes people may be confused by the sound and also sound cannot travel for a longer distance, so thus a blue light is installed in the TNEV system.

Why Blue?

1. In terms of wavelength Red > Amber > Green > Blue. Higher wavelength.
2. In terms of Business and market, blue means trust.
3. Technically the color of India is Blue, denoting that TNEV is an Indian Product.

THE BLUE CHEST:

            TNEV enabled Emergency Vehicles is to be installed with a data box called blue chest which works based on data analysis and cloud computing model.

Features:

• Notifies the hospital that an emergency case is arriving at the hospital.
• Sends coordinates continuously to the cloud platform,
• Suggest the most time efficient route to the nearby hospital.
• Suggest hospitals keeping in mind the patient’s condition.
• Stores camera footage for security purposes.

THE BLUE CARE:

MI team :  Maintenance and Implementation team.

Purpose:

• Which takes care of the implementation of the whole product TNEV as a package implementation.
• Maintains the TNEV if any breakage, change in data, adding a new thing and total product.

Advantage:

• Blue care team not only maintains the TNEV it also gives an advantage which maintains the current TCS that is adaptive signal control technology.
• Creates job opportunities to many youngsters.

About team:

            Blue care team consists of well trained engineers from different streams of engineering for all aspects of work.

T-DASHBOARD:

Purpose:

• Suggesting navigation according to less traffic crowded routes
• Suggesting faster routes to reach the destination as soon as possible.
• Priority is given based on the condition of the patient.
• Intimates to the hospital by using blue care.

About:

            Easy to access with high specifications and can be accessed  manually in case of any other external purposes only by authorized people.

PROS:

1. Decrease in the time taken by an emergency vehicle to reach the destination.
2. Decrease the death rate of patients by travelling more efficiently and conveniently in crowded areas.
3. Also, this project contributes to traffic regulation while an emergency vehicle passes.
4. The most Important thing is saving a priceless thing called ' People Lives’.

RECOGNITIONS:

                                                                                       Table :1

CONCLUSION:

To wrap up, our TNEV initiative brings fresh solutions to ongoing traffic concerns. Through the integration of AI, IoT, and GPS technologies, we've taken a step beyond the usual. Including backup measures enhances our system's trustworthiness, while our unwavering focus on faster emergency vehicle movement emphasizes the importance of saving lives. By addressing existing issues and fostering innovative approaches, our project strives to reshape urban transportation networks, leading to greater efficiency and safety. Combining advanced technology with a people-oriented approach sets a positive direction towards a more secure and streamlined urban landscape. Ultimately, our mission centers on creating a safer, more efficient transport system, and we're excited to see these efforts contribute to positive changes in how we move within cities.