scholarly journals GPS & GSM Based Accident Detection And Auto Intimation

2018 ◽  
Vol 11 (1) ◽  
pp. 356 ◽  
Author(s):  
S.George Fernandez ◽  
R Palanisamy ◽  
K. Vijayakumar
Keyword(s):  
Road Accidents ◽  
Police Station ◽  
Vehicle Accidents ◽  
The Road ◽  
Vehicle Accident ◽  
Rescue Team ◽  
The People ◽  
Alert Message ◽  
Accident Detection ◽  
Short Time

<p>The high demand of automobiles has also increased the traffic hazards and the road accidents. Life of the people is under high risk. This is because of the lack of best emergency facilities available in our country. An automatic alarm device for vehicle accidents is introduced in this paper. This design is a system which can detect accidents in significantly less time and sends the basic information to first aid centre within a few seconds covering geographical coordinates, the time and angle in which a vehicle accident had occurred. This alert message is sent to the rescue team in a short time, which will help in saving the valuable lives. A Switch is also provided in order to terminate the sending of a message in rare case where there is no casualty, this can save the precious time of the medical rescue team. When the accident occurs the alert message is sent automatically to the rescue team and to the police station. The message is sent through the GSM module and the location of the accident is detected with the help of the GPS module. </p>

scholarly journals Automatic Vehicle Accident Detection System

2021 ◽  
Vol 9 (VI) ◽  
pp. 2975-2979
Author(s):  
Myaka Archana
Keyword(s):  
Detection System ◽  
Electronic Equipment ◽  
Severe Accident ◽  
Measuring Device ◽  
The Road ◽  
Vehicle Accident ◽  
Rescue Team ◽  
Dangerous Driving ◽  
Alert Message ◽  
Accident Detection

The ascent of technology and infrastructure has created our lives easier. the appearance of technology has conjointly enhanced the traffic hazards and therefore the road accidents ensue ofttimes that causes immense loss of life and property owing to the poor emergency facilities. Our project can give AN optimum resolution to the present flinch. AN measuring device may be utilized in a automobile alarm application in order that dangerous driving may be detected. It may be used as a crash or change detector of the vehicle throughout and when crash. With signals from AN measuring device, a severe accident may be recognized. in step with this project once a vehicle meets with AN accident straight off vibration detector can notice the signal or if a automobile rolls over, and small electro system (MEMS) detector can notice the signal and sends it to ARM controller. Microcontroller sends the alert message through the GSM electronic equipment together with the situation to the police room or a rescue team. therefore the police will straight off trace the situation through GPS electronic equipment, when receiving the data. Then when orthodox the situation necessary action are going to be taken. If the person meets with a little accident or if there's no serious threat to any ones life, then the alert message may be terminated by the motive force by a switch provided so as to avoid wasting the dear time of the medical rescue team. This paper is helpful in police work the accident exactly by suggests that of each vibration detector and small electro system (MEMS) or measuring device. As there's a scope for future implementation we will add a wireless net cam for capturing the photographs which can facilitate in providing drivers help.

scholarly journals MONITORING ON GUARDRAILS TO AFFORD ROAD SAFETY USING IOT

2019 ◽  
Vol 1 (2) ◽  
pp. 13 ◽  
Author(s):  
Vignesh Venkataraman
Keyword(s):  
Road Safety ◽  
Structural Monitoring ◽  
Maintenance Cost ◽  
Monitoring Systems ◽  
The Road ◽  
Vibration Data ◽  
Vehicle Accident ◽  
Alert Message ◽  
Short Time ◽  
Vibration Threshold

The preservation of the road infrastructures has become an important issue to the road safety and structural monitoring systems industry aiming to reduce the maintenance cost and also to increase the drivers safety. The collision features of the simulation of car- guard rail. It is found that the vibration features of the guardrail within the accident have a good performance to the accident identification. The vibration data of the guardrail are recorded real-timely by the nodes with accelerator sensors on the guardrail network. Then the collision accident is identified in terms of the vibration threshold. The proposed design is a system which can detect accidents in significantly less time and sends the basic information to first aid center within a few seconds covering geographical coordinate the time and angle in which a vehicle accident had occurred. This alert message is sent to the rescue team in a short time which will help in saving the valuable lives.

scholarly journals IoT Protocol for Accident Spotting with Medical Facility

2021 ◽  
Vol 3 (2) ◽  
pp. 140-150
Author(s):  
Prachu J. Patil ◽  
Ritika V. Zalke ◽  
Kalyani R. Tumasare ◽  
Bhavana A. Shiwankar ◽  
Shivani R. Singh ◽  
...  
Keyword(s):  
Vibration Sensor ◽  
Second Phase ◽  
The Road ◽  
Detection Model ◽  
Vehicle Accident ◽  
The World ◽  
Detection Stage ◽  
On The Road ◽  
The Many ◽  
Accident Detection

One of the many challenges that the world faces is traffic hazard. The major cause of this traffic risk is the presence of a huge number of vehicles on the road. As a result, it generates the most challenging issues, leading to an increase in the death toll due to road accidents that occur throughout the world. As a result, it necessitates the need to provide adequate transportation facilities, which will reduce the number of collisions and save human lives. The GPS, GSM, accelerometer, Arduino UNO technology, and vibration sensor are used to design and develop a vehicle accident detection model. The proposed approach is classified into three stages to prevent and detect the vehicular accidents. At the detection stage, a vibration sensor will be utilized to determine the position of the accident and to alert the user by sending SMS via the GSM module, which will include the user's data stored in Android applications. This data will be taken from the GPS module. The second phase occurs when moderate accidents occur and in such situation, the location will be detected by using a GPS module. After that, the nearby hospital receives a message about the accidents and accordingly they provide services to the accidents. At the same time, after detecting the location, a patient receives a message from the hospital urging them to take precautions. .

scholarly journals SMART WARNING SYSTEM USING EDGE COMPUTING

2021 ◽  
Author(s):  
Devi R
Keyword(s):  
Mobile Phones ◽  
Warning System ◽  
Edge Computing ◽  
Road Accidents ◽  
Human Errors ◽  
The Road ◽  
Computing Paradigm ◽  
Road Users ◽  
The People ◽  
General Rules

<div>In recent years, the occurrence of road accidents increases drastically. There are many factors influencing the road accidents. Nowadays usage of mobile phones while driving is common but it leads to the distraction in driving and subsequently causes accidents. Though jurisdictions are made that usage of electronic devices such as mobile phones, tablets, laptops while driving are illegal, no one is aware of that. The drivers who use mobile gadgets while driving not only risk their lives but also the people around them. Most of the road users are well aware of the general rules and safety measures. However due to human errors, accidents occur. To overcome from the human errors this paper focuses on developing a security alert system for drivers using edge computing paradigm.</div>

scholarly journals SMART WARNING SYSTEM USING EDGE COMPUTING

2021 ◽  
Author(s):  
Devi R
Keyword(s):  
Mobile Phones ◽  
Warning System ◽  
Edge Computing ◽  
Road Accidents ◽  
Human Errors ◽  
The Road ◽  
Computing Paradigm ◽  
Road Users ◽  
The People ◽  
General Rules

<div>In recent years, the occurrence of road accidents increases drastically. There are many factors influencing the road accidents. Nowadays usage of mobile phones while driving is common but it leads to the distraction in driving and subsequently causes accidents. Though jurisdictions are made that usage of electronic devices such as mobile phones, tablets, laptops while driving are illegal, no one is aware of that. The drivers who use mobile gadgets while driving not only risk their lives but also the people around them. Most of the road users are well aware of the general rules and safety measures. However due to human errors, accidents occur. To overcome from the human errors this paper focuses on developing a security alert system for drivers using edge computing paradigm.</div>

scholarly journals Analysis of Road Accidents Using Data Mining Techniques

2018 ◽  
Vol 7 (3.10) ◽  
pp. 40 ◽  
Author(s):  
Ms Nidhi. R ◽  
Ms Kanchana V
Keyword(s):  
Road Safety ◽  
Preventive Measures ◽  
Road Accident ◽  
The State ◽  
Road Accidents ◽  
Bayesian Techniques ◽  
Vehicle Accidents ◽  
The People ◽  
The Government ◽  
Using Data

Road Accident is an all-inclusive disaster with consistently raising pattern. In India according to Indian road safety campaign every minute there is a road accident and almost 17 people die per hour in road accidents. There are different categories of vehicle accidents like rear end, head on and rollover accidents. The state recorded police reports or FIR’s are the documents which contains the information about the accidents. The incident may be self-reported by the people or recorded by the state police. In this paper the frequent patterns of road accidents is been predicted using Apriori and Naïve Bayesian techniques. This pattern will help the government or NGOs to improve the safety and take preventive measures in the roads that have major accident zones.  

scholarly journals SSW: Smart Steering Wheel for Real-Time Heart Rate Monitoring of Drivers

2020 ◽  
Vol 9 (4) ◽  
pp. 3040-3043
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Health Condition ◽  
World Health ◽  
Steering Wheel ◽  
Road Accidents ◽  
The Road ◽  
Related Data ◽  
Rescue Team ◽  
On The Road

It’s very hard to know that Over 467,044 accidents took place specifically on the road in our country in 2018 as per a report revealed by the MoRTH recently. Rapid increasing in numbers of vehicles on the road, stress level of drivers in traffic and even lethargic driving are few reasons for road accidents. Unfortunately, sudden heart attacks of drivers also a reason behind some road accidents; this can be preventable. During driving, monitoring heart rate is not a big deal in today’s hi-tech world. Health monitoring while driving is not only important in daily healthcare, also a prevention of bus accidents. Here the proposed work is designing a smart steering wheel based on the technology so-called the Internet of Things (IoT) that monitors the heart rate and foresees the onslaught of fatigue of a driver; also it shares the location to the rescue team. Pulse sensor, GPS and GSM modules are conjoined into the steering wheel. The setup once it gets powered-up, which transmits the data of a driver’s health condition and get stored in the cloud environment. By this approach, the steering wheel gives the real-time based monitoring. Therefore this work is aiming for the development of a system which includes multiple sensors incorporated with the steering wheel which is capable to measure the pulse rate and alert the rescue team dynamically about the health related data of a driver, to prevent accidents.

scholarly journals Road Accidents Detection, Data Collection and Data Analysis Using V2X Communication and Edge/Cloud Computing

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 896 ◽  
Author(s):  
Kishwer Abdul Khaliq ◽  
Omer Chughtai ◽  
Abdullah Shahwani ◽  
Amir Qayyum ◽  
Jürgen Pannek
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Sensor Data ◽  
Practical Implementation ◽  
Delayed Response ◽  
Care Providers ◽  
Road Accidents ◽  
Death Toll ◽  
Alert Message ◽  
Accident Detection

With the improvement in transportation infrastructure and in-vehicle technology in addition to a meteoric increase in the total number of commercial and non-commercial vehicles on the road, traffic accidents may occur, which usually cause a high death toll. More than half of these deaths occur due to a delayed response by medical care providers and rescue authorities. The chances of survival of an accident victim could increase drastically if immediate medical assistance is provided at an accident location. This work proposes a low-cost accident detection and notification system, which utilizes a multi-tier IoT-based vehicular environment; principally, it uses V2X Communication and Edge/Cloud computing. In this work, vehicles are equipped with an On-Board Unit (OBU) in addition to mechanical sensors (accelerometer, gyroscope) for reliable accident detection along with a Global Positioning System (GPS) module for identification of accident location. In addition to this, a camera module is implanted on the vehicle to capture the moment when an accident takes place. In order to facilitate inter-vehicle communication (IVC), OBU in each vehicle incorporates a wireless networking interface. Once an accident occurs, a vehicle detects it and generates an alert message. It then sends the message along with the accident location to an intermediate device, placed at the edge of the vehicular network, and therefore called an edge device. Upon receiving the notification, this edge device finds the nearest hospital and makes a request for an ambulance to be dispatched immediately. It also performs some preprocessing of data and effectively acts as a bridge between the sensors installed inside the vehicle and the distant server deployed in the cloud. A significant issue that the traffic authorities are currently facing is the real-time visualization of data obtained through such environments. Wireless interfaces are usually capable of forwarding real-time sensor data; however, this feature is not yet commercially available in the OBU of the vehicle; therefore, practical implementation is carried out using the Internet of things (IoT) in order to create a network among the vehicles, the edge node, and the central server. By performing analysis on the adequate acquired data of road accidents, the constructive plans of action can be devised that may limit the death toll. In order to assist the relevant authorities in performing wholesome analysis of refined and reliable data, a dynamic front-end visualization is proposed, which is hosted in the cloud. The generated charts and graphs help the personnel at relevant organizations to make appropriate decisions based on the conclusive analysis of processed and stored data.

scholarly journals Vehicle Alerting and Accident Detection System at Hairpin Bend Curves Using IOT

2021 ◽  
Vol 9 (VII) ◽  
pp. 2235-2241
Author(s):  
Puneeth S P
Keyword(s):  
Developing Countries ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Detection System ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
Led Light ◽  
The Road ◽  
Critical Issues ◽  
Accident Detection

In the developing countries accident is the major cause of death. “Speed Kills”, but still people don’t care enough to act safe while driving on road. Road traffic accidents and deaths caused by them are most critical issues now days. It is also impacting the country’s economy. According to Million Death Study (MDS) about 2.3 million people die in India per year. In that 137 thousand is because of road accidents. That is about 377 people per day. In that 3.7% because of failed to look the road. We can see that many of them are curve roads. In the mountain roads there will be tight curves and the roads will be narrow. In these kinds of situations the driver of a vehicle cannot see vehicles coming from opposite side on the roads. Thousands of people lose their lives each year because of this problem. Since we are talking about mountain roads here other side might lead to a cliff and heavy bends. The solution for this problem is alerting the driver about the vehicles coming from opposite side in Ghats sections. This is done by keeping an ULTRASONIC SENSOR on one side of the road before the curve and keeping a LED light after the curve, so that if a vehicle comes from one end of the curve, sensor senses and LED light glows at the opposite side. By looking at the LED light on/off criteria driver can be alert and can slow down the speed of the vehicle.

scholarly journals Smart Accident Detection Device

2020 ◽  
pp. 30-33
Author(s):  
Hare Krushna ◽  
Nusrat Mohammad ◽  
Susmita Mundhe ◽  
Suhas Kothawale
Keyword(s):  
Family Member ◽  
Human Life ◽  
Road Accidents ◽  
Medical Assistance ◽  
Police Station ◽  
Accident Detection

(We live in a society where accidents happen daily and regularly due to which people loss their lives because they didn’t get the medical assistance at right time. In India more than one and a half lack persons die due to road accidents per year. Ina solution to this we have developed Smart Accident Detection Device (SADD) which provides medical assistance in time and save the valuable human life. This gadget can be fitted into Vehicles like Bus, Car and so on. Whenever any type of accident is detected this device inform to the nearest Hospital as well as police station, then after identifying patient it also informs to the Patient’s family member, through which we can save the human life).

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