scholarly journals Smart Helmet

2021 ◽  
Vol 9 (VI) ◽  
pp. 4075-4089
Author(s):  
Nelakurthi Spoorthi Reddy
Keyword(s):  
Conscious State ◽  
Vibration Sensor ◽  
Road Accidents ◽  
Accident Rate ◽  
Main Target ◽  
Alcohol Sensor ◽  
Day By Day ◽  
Unconscious State

Road accidents are increasing day by day because the riders are not using the helmet and due to consumption of alcohol. In today's world, huge numbers of people are dying on road accidents. By using smart helmet, the accidents can be detected. The main target of the project is designing a smart helmet for accident avoidance and alcohol detection. The features of the Smart Helmet are wearing helmet, detection of alcohol, detection of accident. If the person is not wearing helmet the bike will not start and it displays on the LCD. The alcohol sensor recognizes the alcoholic substance in the rider's breath. If the person is drunk then alcohol sensor detects it and displays on the LCD and the bike will not start. If there is no detection of alcohol then the bike starts. If there is no sign of alcoholic substance present and helmet is used, only then the bike will start. The bike will not start if any of the two conditions is violated. If an accident is occurred then it is detected by Vibration sensor and alarm is activated. If the person is in conscious state, then the person can off the alarm and no message is sent to the saved numbers. If the person is in unconscious state, then message will be sent to the saved numbers in GSM module and sends the location to them by GPS. With the use of Smart Helmet, accident rate can be reduced.

scholarly journals Multi Access Helmet

2020 ◽  
Vol 9 (6) ◽  
pp. 1038-1042
Keyword(s):  
Gas Sensor ◽  
High Speed ◽  
Daily Life ◽  
Red Light ◽  
Ultrasonic Sensor ◽  
Vibration Sensor ◽  
Road Accidents ◽  
Accident Rate ◽  
Multi Access ◽  
Taking Care

In our daily life we can see so many road accidents are increasing daily especially the bike accidents are increasing more and more because of so many things like high speed,drunk and drive ,riders not using helmet ,using mobile while driving and due to the late of ambulance in all these cases riders are not taking care of there lives and they are loosing there lives so we are going to introduce a "MULTI ACCESS HELMET" which will solve some of the above problems and we can reduce the accident rate by using this project. The essential purpose of this errand is to save a couple of presences of the people.This venture incorporate a few sensors like gas sensor ,ultrasonic sensor and vibration sensor .the gas sensor is utilized to recognize the liquor taken by the rider on the off chance that the liquor level is more prominent than the limit, at that point the ringer will be on and furthermore the red light will likewise on which show the threat sign and the rider won't ready to where the cap right now, on the off chance that he isn't wearing the head protector, at that point the bicycle additionally won't begin . Ultrasonic sensor will perceive the thing if the article is recognized in the more drawn out partition, by then also the chime will on and the red drove is on, it shows the rider to wear defensive top right currently bike won't begin.Vibration sensor is utilized to detect the vibration if the bicycle contacts the ground the recurrence scope of vibration increments on the off chance that it builds, at that point the area of the vehicle is followed utilizing the gsm and the message is sent to closest emergency clinics utilizing gps module..

Automatic Ignition Off For Bike When Brake Failure Using Limit Switch

2021 ◽  
Vol 23 (09) ◽  
pp. 994-1005
Author(s):  
S. Karthik ◽  
◽  
J.Silkson John ◽  
Keyword(s):  
General Public ◽  
Human Life ◽  
Dynamic State ◽  
Accident Rate ◽  
Human Errors ◽  
Safety Systems ◽  
Day By Day ◽  
Limit Switch

We cannot predict the Actual tendency of an accident at what time that is occurs so it is always preferred to be cautious while designing a system that is related to utility of general public . brakes failure is one of the most commonly seen automobile failure where a person or a family tend to loose not just a man or a person but also their livelihood .The accident rate in India has been increasing day by day and human errors tend to occur as the nature of doing a thing by a human includes errors .mostly todays technologies has emerged to be completely automated but still when it comes to vehicles the brakes tend to be applied normally by a human. Particularly in relation to human life and health Some special safety systems have been designed into cars for the security of the passengers only, while others have been built for the safety of others. This is a brake disaster warning route that continuously tracks the dynamic state of the brake. If the brake fails, the switch activates, and the ignition turns off automatically.

ASSESSMENT OF THE ACCIDENT RATE OF PERSONAL MOBILITY EQUIPMENT IN VARIOUS DRIVING CONDITIONS

2021 ◽  
pp. 31-36
Author(s):  
А.А. Юнг ◽  
А.Г. Шевцова
Keyword(s):  
Young People ◽  
High Mobility ◽  
Road Accidents ◽  
Accident Rate ◽  
Personal Mobility ◽  
Traffic Conditions ◽  
The Past ◽  
Individual Mobility ◽  
Driving Conditions ◽  
Mature Population

В статье проведен анализ аварийности, связанной с использованием средств индивидуальной мобильности в различных условиях движения. За последние несколько лет количество дорожно-транспортных происшествий с участием указанных средств заметно выросло. Причиной этому явился скачок спроса на данные модели как среди молодежи, так и среди населения более старшего возраста в силу их высокой мобильности. In this article, an analysis of the accident rate of individual mobility equipment in various traffic conditions was carried out. Over the past few years, the number of road accidents involving individual vehicles has increased significantly. The reason for this may be, due to their high mobility, a jump in demand for these models among both young people and the more mature population.

scholarly journals Application of IOT for Human Safety on Road

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Tripura Pidikiti , Et. al.
Keyword(s):  
Global Positioning System ◽  
Positioning System ◽  
Infrared Sensor ◽  
Road Accidents ◽  
Emergency Center ◽  
Global Positioning ◽  
Prevention System ◽  
Alcohol Sensor ◽  
Two Wheeler ◽  
Accident Detection

Two wheelers (motor bikes) are most used easy and economic means of transportation and it also has become unsafe because of the tremendous increase of road accidents. When two-wheeler met with an accident, it is difficult to spot the neighborhood of the accident and mammoth loss occurs due to time factor. This paper presents Internet of Things based accident detection and prevention system. This is a novel system divided into four parts: first to identify the accident to send signal to emergency center along with location using Arduino based Global Positioning System and Global System for Mobile Communication and remaining are to warn to prevent the accidents like an accelerometer to determine the velocity and tilt of the vehicle, Infrared sensor to detect any obstacles and an alcohol sensor.

scholarly journals On economical security of transport sector

2019 ◽  
Vol 135 ◽  
pp. 04073
Author(s):  
Elena Voskresenskaya ◽  
Lybov Vorona-Slivinskaya ◽  
Sergey Panov
Keyword(s):  
Private Property ◽  
Economic Security ◽  
Competitive Environment ◽  
Transport Sector ◽  
Institutional Changes ◽  
Fundamental Change ◽  
Road Accidents ◽  
Accident Rate ◽  
Safety Level ◽  
Social Challenges

The present article focuses on urgent issues of economic security in the transport sector. Transport is one of the most important sectors of the national economy that deals with complex economic and social challenges providing economy and people with transportation. The institutional changes implemented in Russia in the late 80s and early 90s affected all sectors, including transport. Shareholding and privatization led to fundamental change in the ratio of ownership forms in favor of private property (both collective and individual). The privatization-time stake on rapid creation of the competitive environment in the transport market through fragmentation of transport complexes and associations turned up to be unreasonable, since in most cases it caused a weakening of the position of domestic carriers, both in international and domestic transport market. Costs and tariffs for transportation sharply increased simultaneously with the decrease in investment and safety level of vehicles. In transport sector, the safety problem has traditionally been considered as a problem of a high accident rate, highlighting total number of road accidents and people died or injured in those accidents. The amount of studies on economic security in transport is negligible up to the present day.

scholarly journals Smart Assistant for Accident Prevention and Rescue

2021 ◽  
Author(s):  
Yaswanth Pagadala
Keyword(s):  
Human Life ◽  
Vital Role ◽  
Accident Prevention ◽  
Ultrasonic Sensor ◽  
Vibration Sensor ◽  
Late Arrival ◽  
Rescue Team ◽  
Alcohol Sensor ◽  
Project Prevention ◽  
Death Cases

Travelling is playing a vital role in human life, now it has turned to be dangerous due to accidents. In a survey, Govt declared that more than 1.5 lakhs people are expiring in a year via mishap. More-over in the reported death cases two-third victims die due to late arrival of rescue team. In our project Prevention with alcohol sensor & we are interfacing GSM, GPS, Vibration sensor to know the accident occurrence and place of occurrence and sending message to the rescue team to save the victims as soon as possible. If the route is not visible (due to fog) through Ultrasonic sensor we can drive safely to our destination.

scholarly journals Accident Blackbox Detection using IoT

2020 ◽  
Vol 9 (7) ◽  
pp. 396-399
Keyword(s):  
Mobile Communication ◽  
Human Life ◽  
Black Box ◽  
Vibration Sensor ◽  
Medical Assistance ◽  
Hypothetical Situation ◽  
Police Station ◽  
Contact Person ◽  
Alert Message ◽  
Alcohol Sensor

The accident now happens a few days by car or bike riders, or traffic hazards or any family situation. Accidents resulting from careless driving are increased. When the accident occurs, many people lose their lives because the medical assistance is delayed. Using this black box system this system is designed to detect the basic reason for the accident. Incorporated with GSM, GPS, and sensors. Alcohol sensor detects alcohol and Eye-Blinking sensor conception for sleep while driving the car and using vibration sensor to detect car vibration. Speed is also an important reason why an accident occurred. Using Global Position System knows where the car occurs and uses Global System for Mobile Communication to send alert messages to one of the contact person and nearby hospital and police station. Both GPS and GSM are built into this system. This is connected to the WI-FI network, because GPS will send the location if the accident occurs and GSM will send the message to the contact person and nearby hospital and police station. This system is easy to install under the car because alert message will be sent by the system if an accident occurs. The data for how the accident will occur will be stored in the data base. The base of data is used to justify the accident. For the hypothetical situation this system is used. The system will save human life and decrease the delay of medical assistance.

scholarly journals Micro Controller Based Smart Helmet by Ir Motion Sensors

2019 ◽  
Vol 8 (6) ◽  
pp. 1850-1853
Keyword(s):  
Road Accident ◽  
Motion Sensor ◽  
Motion Sensors ◽  
Road Accidents ◽  
Rf Transmitter ◽  
Ir Sensor ◽  
Alcohol Sensor ◽  
Receiver Unit ◽  
Drunken Driving

Road accident is an unintended incident which is responsible for deaths of people worldwide. According to National Crime Records Bureau (NCRB), more than 1, 35,000 people die every year annually in Indian road accidents. The most significant cause is drunken driving and not wearing helmets while driving. The main objective here is to eradicate drunken driving and helmetless driving. In this regard, an attempt has been made by using microcontroller assisted RF transmitter and receiver unit. The IR sensor detects the presence of helmet on the head. MQ3 alcohol sensor detects the alcohol level. The comparator analyse the values and gives command to relay circuit. Thus the starting of two wheelers is controlled by the application of sensors. In addition to this, a motion sensor has also been incorporated to inform the driver about the presence of nearby vehicles.

scholarly journals Vehicular Crash Signaling System

2019 ◽  
Vol 8 (4) ◽  
pp. 12876-12880
Keyword(s):  
Emergency Services ◽  
Road Accident ◽  
Vibration Sensor ◽  
Medical Attention ◽  
Traffic Density ◽  
Road Accidents ◽  
Signaling System ◽  
Alert Message ◽  
Accident Response ◽  
The Impact

The rise in demand for automobiles has resulted in a palpable increase in the traffic density, thereby giving way to more road accidents over time. Many a times, casualties of a road accident fail to live after they fall victim to poor emergency facilities and inadequate accident response time. It is not viable to anticipate road accidents but the repercussions can be minimized at the very least. If given immediate medical attention and care, the number of deaths caused as a result of road accidents could be reduced to a considerably low number. The primary hindrance in casualties receiving appropriate medical care is the fact that the rescue services do not receive any piece of information about the accident and sometimes, even when the information is passed on, it is usually received late. Hence to ensure that victims get adequate medical help on time, there is a need for an efficient automatic system. The Crash Signaling System uses a combination of technologies such as vibration sensor, Zigbee, GSM and GPS modules that detects the impact of the accident as well as the point of accident and conveys the information of the location to the nearby emergency care unit. It also sends information about the point of accident to the vehicles in the vicinity which then would help the drivers of oncoming vehicles to stay alert and drive cautiously. The ZigBee module assists in sending the alert message about the point of accident to the vehicles in the vicinity. The proposed system ensures that the emergency services are made accessible to accident victims in a timely manner and shares the information of the accident to the nearest hospital or rescue team via a GSM module. Besides it also sends a message to the victim’s emergency contacts. This system can be used in all in all vehicles for accident detection and reporting. VANET is a similar wireless communication technology which employs V2V and V2I

scholarly journals Predicción de la accidentabilidad en función de los comportamientos arriesgados y agresivos al volan- te: Diferencias según la edad y el género

2019 ◽  
Vol 24 (2) ◽  
pp. 93 ◽  
Author(s):  
David Herrero-Fernández ◽  
Mireia Oliva-Macías ◽  
Pamela Parada-Fernández
Keyword(s):  
Aggressive Behavior ◽  
Road Accidents ◽  
Aggressive Driving ◽  
Accident Rate ◽  
Age And Gender ◽  
Risky Driving ◽  
Predictive Variables ◽  
And Gender ◽  
Accidentes De Tráfico ◽  
Almost All

Abstract: Prediction of accident rate from risky and aggressive behavior behind the wheel: Differences by age and gender. Road accidents are one of the main causes of death in Spain. Risky and aggressive behavior behind the wheel are two of the most relevant predictive variables. This study had three aims: First, the psychometric adaptation of the Driving Survey (DS) in a Spanish sample; second, the analysis of the differences by age and gender in risky and aggressive driving, as well as in the self-perception of the driver and in the accident rate; and third, the analysis of the prediction of the accident rate based on the other variables. The results showed a factorial distribution, similar to the original version, with adequate values of both internal consistency and validity. Men scored higher than women in risky driving, while the youngest drivers scored higher in almost all variables. Finally, it was observed that both risky and aggressive behavior predicted accident rate significantly.Keywords: Risky driving; aggressive driving; accident rate; driving survey.Resumen: Los accidentes de tráfico constituyen una de las principales causas de muerte en España. Los comportamientos arriesgados y agresivos al volante se han perfilado como dos de las variables más relevantes. La presente investigación tuvo tres objetivos. Primero, la adaptación psicométrica del Driving Survey (DS) en una muestra española; segundo, el análisis de las diferencias por edad y género en comportamientos arriesgados y agresivos al volante, así como en la accidentabilidad; y tercero, el análisis de la predicción de la accidentabilidad en base a las anteriores variables. Los resultados mostraron una distribución factorial similar a la versión original, con unas propiedades psicométricas adecuadas en términos de consistencia interna y de validez. Los hombres puntuaron más alto en aspectos relacionados con conducción arriesgada, mientras que los más jóvenes puntuaron más alto en casi todos los indicadores evaluados. Finalmente, se encontró que tanto los comportamientos arriesgados como los agresivos predecían significativamente la accidentabilidad.Palabras clave: Conducción arriesgada; conducción agresiva; accidentabilidad; encuesta de conducción.

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