scholarly journals An Effective Paradigm on Self-Regulating Cautious Strategy

2019 ◽  
Vol 8 (6) ◽  
pp. 1011-1015
Keyword(s):  
Driving Under The Influence ◽  
Steering Wheel ◽  
Alcohol Content ◽  
Driving While Intoxicated ◽  
Passenger Seat ◽  
The Family ◽  
Alcohol Sensor ◽  
Engine Failure ◽  
Drunken Driving ◽  
Day By Day

The number of accidents in the world is increasing day by day and most of these accidents are effectuated due to Driving While Intoxicated (DWI). Therefore, since the death due to the Drunken-Driving or Driving Under the Influence (DUI) of alcohol has assumed proportion larger(60%) than one can visualize. In order to combat such life-risking psroblems, we have designed a mock-up. This safety serious system is actualized using ARDUINO and the main unit of this project is alcohol detecting sensor. Here alcohol sensor(MQ3) is used in a steering wheel and also in the passenger seat to sense the alcohol molecules present inside the vehicle. When sensor equipped in a steering wheel senses the alcohol content (i.e)., when the level of alcohol of driver crosses a permissible limit, fails the attempt of the driver to start the engine irrespective of the passenger. To thwart the accidents due to immediate engine failure, a timer is proposed in the exemplary. This framework is also embodied with widely used GSM MODEM and it will automatically send the distress message to the owner of the vehicle or to the family member

scholarly journals Alcohol Consumption Detection Using Smart Helmet System

2020 ◽  
pp. 167-173
Author(s):  
K. Maheswari ◽  
U. Madhumitha ◽  
S. Madhusurya ◽  
T. Divya
Keyword(s):  
Alcohol Consumption ◽  
Intelligent Transportation System ◽  
Driving Under The Influence ◽  
Smart Devices ◽  
Road Accidents ◽  
Bayesian Algorithm ◽  
Alcohol Content ◽  
Driving While Intoxicated ◽  
The Road ◽  
Blood Alcohol Content

Internet of Things (IoT) consists of smart devices which can sense the environment and performs the data interaction with the users by handling the large volume of data and also provide the numerous services to the users. It also plays the significant role in Intelligent Transportation System (ITS) using the Cognition ability. One of the primary causes for the road accidents is consumption of alcohol. Driving under the influence (DUI) or Driving While Intoxicated (DWI), and involves operating a vehicle with Blood Alcohol Content (BAC) level of at least 0.08 percent is considered as the punishable offense. In order to identify and prevent the driving with alcohol consumption, the ITS system can be designed with IoT based smart helmet system. The IoT system performs the data validation using the Bayesian Algorithm which significantly detects the alcohol consumption of the rider. And the system also provides the provision to control and ride the bike if and only if the rider does not consume the alcohol.

The Effects of “Tough” Drunk Driving Laws on Policing: A Case Study

1992 ◽  
Vol 38 (2) ◽  
pp. 239-257 ◽  
Author(s):  
Patrick T. Kinkade ◽  
Matthew C. Leone
Keyword(s):  
Time Series ◽  
Drunk Driving ◽  
Driving Under The Influence ◽  
Limited Time ◽  
Arrest Rates ◽  
Driving While Intoxicated

In 1982, California passed into law severe sanctions for driving while intoxicated. The effects of these law changes on policing were investigated. Using limited time series and elite interview methodologies, it was found that the law's passage was related to reduced arrest rates for several misdemeanors, including driving under the influence.

scholarly journals Reflexive Engine to Lock the System for Driving While Intoxicated – Simulation by Using LabVIEW

2020 ◽  
Vol 16 (13) ◽  
pp. 132
Author(s):  
Kammara Bharath Kumar ◽  
Ch Sudha Mani ◽  
Mohd Abdul Naqi ◽  
S Mallesh Narayana
Keyword(s):  
At Risk ◽  
Limit Set ◽  
Road Accidents ◽  
Driving While Intoxicated ◽  
Innocent People ◽  
Breath Analyzer ◽  
Drunken Driving

<p><strong>Drunken driving is a major issue due to which many road accidents are occurring. To overcome this many researches are going on and we also tried to develop a reflexive engine locking system In this paper we have developed a system through which when a person tries to drive by consuming alcohol will experience a automatic engine lock. By implementing this we can save lives of passengers as well as pedestrians and other people too. Today situation is worsening like for every thirty minutes accidents are happening and taking lives of many innocent people. To avoid this we are trying to implement a prototype for alcohol detection for drunk and drive. Based on threshold set, alcohol breath analyzer sense level of alcohol consumed by the driver and if it crosses the limit set it will automatically locks the engine. Due to drowsiness of driver and consumption of alcohol more number of accidents are happening. Because of this more lives are at risk. This design implements a model which saves lives of people inside and outside the vehicle.</strong></p><p><strong> </strong></p>

Punishment and Deterrence: Evidence from Drunk Driving

2015 ◽  
Vol 105 (4) ◽  
pp. 1581-1617 ◽  
Author(s):  
Benjamin Hansen
Keyword(s):  
Regression Discontinuity ◽  
Drunk Driving ◽  
Driving Under The Influence ◽  
Blood Alcohol ◽  
Alcohol Content ◽  
Blood Alcohol Content ◽  
Percentage Points ◽  
Drunk Drivers

I test the effect of harsher punishments and sanctions on driving under the influence (DUI). In this setting, punishments are determined by strict rules on blood alcohol content (BAC) and previous offenses. Regression discontinuity derived estimates suggest that having a BAC above the DUI threshold reduces recidivism by up to 2 percentage points (17 percent). Likewise having a BAC over the aggravated DUI threshold reduces recidivism by an additional percentage point (9 percent). The results suggest that the additional sanctions experienced by drunk drivers at BAC thresholds are effective in reducing repeat drunk driving. (JEL I12, K42, R41)

scholarly journals ANALISIS PEMBACAAN SENSOR ALKOHOL TERHADAP VARIASI JARAK PADA PENGEMUDI UNTUK MENGURANGI POTENSI KECELAKAAN

JURNAL ELTEK ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 116
Author(s):  
Mira Esculenta M ◽  
Azar Faqih
Keyword(s):  
Data Analysis ◽  
Experimental Method ◽  
Traffic Accidents ◽  
Alcohol Content ◽  
Sensor Reading ◽  
Optimum Range ◽  
Data Processor ◽  
Alcohol Sensor ◽  
Arduino Uno ◽  
Optimum Sensor

Banyaknya kasus kecelakaan lalu lintas yang terjadi di indonesia semakin meningkat dari tahun ke tahun. Salah satu faktor yang menyebabkan kecelakaan lalu lintas yaitu pengemudi yang mengendarai mobil pada kondisi mabuk. Terlebih lagi cara yang digunakan pihak kepolisisan dalam mengecek seseorang dalam keadaan mabuk atau tidak sangat tidak efektif yaitu dengan cara pengambilan sampel urine dan darah dari pengemudi tersebut. Tujuan penelitian ini adalah membuat alcohol detector yang mendeteksi kadar alkohol pada nafas pengemudi. Alat ini menggunakan sensor MQ-3 sebagai input, mikrokontroler arduino uno sebagai pengolah data, LCD karakter 2x16 sebagai penampil, RGB LED dan speaker sebagai indikator. Alat dirancang mendeteksi alkohol jika lebih dari 5%, maka kelistrikan mobil akan terputus secara otomatis. Metode yang digunakan pada penelitian ini adalah metode eksperimen. Penelitian ini menganalisis pengaruh kadar alkohol dan jarak sensor terhadap keakuratan pembacaaan sensor MQ-3. Dari hasil analisis data, dapat diketahui jarak sensor yang optimal untuk keakuratan pembacaan sensor alkohol MQ-3. Data hasil penelitian akan diolah menggunakan two-way anova. Hasil penelitian menunjukkan ada pengaruh variasi kadar alkohol dan jarak sensor terhadap keakuratan pembacaan sensor MQ-3.Jarak optimal pembacaan sensor MQ-3 adalah pada jarak 10cm dengan nilai kesalahan (error) yang paling rendah yaitu sebesar 27.33% dan nilaiakurasi yang paling tinggi yaitu sebesar 72.67%.   A number of traffic accidents which occurred in Indonesia increases year by year. One of the factors that causes traffic accidents is the driver driving a car in a drunken condition. Moreover, the method used by the police in testing someone whether he is drunken or not is very ineffective to take a sample of urine and blood from the driver. The purpose of the study is make alcohol detector that detects alcohol levels on the breath of the driver. The tool uses arduino uno as data processor, MQ-3 sensor as input, 2x16 character LCD as display, RGB LED and Speaker as indicator. Tools are designed to detect alcohol if more than 5%, then the car's electricity will be disconnected automatically. The methods used in the study is a experimental method. The study analyzed the effect of alcohol content and the distance of the sensor on the accuracy sensor MQ-3 readings. From the results of data analysis, it can be obtained that the optimum sensor distance for accuracy of reading alcohol sensor MQ-3. The data were analyzed using two-way anova. The result shows that there is an effect variation of alcohol content and sensor distance on the MQ-3 sensor reading. The optimum range of MQ-3 reading sensor is 10 cm with the lowest error value of 27,33% and the highest accuracy value of 72,67%.

scholarly journals Automatic Alcohol Detector Car Control Panel

2019 ◽  
Vol 9 (1) ◽  
pp. 2902-2905
Keyword(s):  
Blood Concentration ◽  
Concentration Level ◽  
Alcohol Concentration ◽  
Steering Wheel ◽  
Control Panel ◽  
Combat Vehicle ◽  
Alcohol Sensor

The idea is about making vehicles more selfregulating and automatic which may inform or combat vehicle drivers under terrible conditions .The system consist of MQ-3 alcohol sensor to continuously observe the alcohol blood concentration level, to discover the presence of liquor in the breath of a vehicle’s driver. By placing sensor on steering wheel of the vehicle, the system has the capacity to continuously check alcohol concentration level from the driver’s breath. In case if driver is drunk while driving then the CCW system would get activated. Using CCW the car could change its own position and maintain its own speed depending on other nearby vehicles. This would decrease the extent of accident.

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 Two-Wheeler Safety System for Accident Prevention, Detection and Reporting

2018 ◽  
Vol 7 (03) ◽  
pp. 23680-23682
Author(s):  
Priyanka C ◽  
Priya Darshini C ◽  
Vinayak G Shavi ◽  
Sarvar Begum
Keyword(s):  
Pressure Sensor ◽  
Family Members ◽  
Accident Prevention ◽  
Safety System ◽  
Alcohol Content ◽  
Accelerometer Sensor ◽  
The Family ◽  
Two Wheeler

The objective of this paper is to build a safety system which is integrated with the smart helmet and intelligent bike to reduce the probability of two-wheeler accidents and drunk and drive cases. The pressure sensor and the accelerometer sensor checks if the person is wearing the helmet or not. Alcohol sensors detects the alcoholic content in the rider’s breath. If the rider is not wearing the helmet or there is alcohol content found in rider’s breath, the bike remains off. The bike will not start until the rider wears the helmet and there is no alcoholic content present stating that rider did not consume alcohol. When the rider crashes, helmet hits the ground and sensors detect the motion and tilts of helmet and reports the occurrence of an accident and sends information of the location of accident to the family members of the rider and the emergency contact numbers.

Design of System to Prevent Drunken Driving Based on GPSGSM Technology

2014 ◽  
Vol 644-650 ◽  
pp. 3873-3876
Author(s):  
Zhan Guo ◽  
Zu Ming Xiao
Keyword(s):  
Human Nature ◽  
Drunk Driving ◽  
Single Chip ◽  
Traffic Police ◽  
The Core ◽  
Design Scheme ◽  
Alcohol Sensor ◽  
Drunken Driving ◽  
Monitoring Platform

Against drunk driving, this paper puts forward a kind of design scheme of vehicular system to prevent drunk driving based on GPS/GSM technology. The system is at the core of a single chip processor with the use of the alcohol sensor to test the driver's alcohol concentration.alcohol sensor.If alcohol is beyond the limit, cars are banned running and drunk driving information will be sent to the traffic police command monitoring platform through the GPS/GSM technology. The system has the characteristics of integration, human nature, and intelligence.

scholarly journals Sons and daughters with a parent hospitalized in an Intensive Care Unit

2013 ◽  
Vol 30 (2) ◽  
pp. 199-209
Author(s):  
Fernanda de Azevedo Lima ◽  
Maria Cristina Lopes de Almeida Amazonas ◽  
Carmem Lúcia Brito Tavares Barreto ◽  
Walfrido Nunes de Menezes
Keyword(s):  
Intensive Care Unit ◽  
Content Analysis ◽  
Intensive Care ◽  
Professional Growth ◽  
Structured Interview ◽  
Healthcare Team ◽  
Effective Care ◽  
Demographic Questionnaire ◽  
The Family ◽  
Day By Day

The aim of this study, in the area of Hospital Psychology, was to comprehend the experience of sons and daughters whose mother or father was hospitalized in an Intensive Care Unit. Participants were 10 sons and daughters who responded to a socio-demographic questionnaire and a semi-structured interview, which were submitted to Content Analysis. The following were verified in the interviews: feelings of suffering and fear; concerns regarding the fact that the patient spends most of the time alone; lack of trust regarding the treatment offered by the healthcare team for the patient; lack of motivation to continue day by day routines; positive reappraisal such as personal, spiritual and professional growth, and satisfaction with the hospital team's care to the family. This data highlights the needs of these sons and daughters during their parent's hospitalization in an Intensive Care Unit and may support more effective care from the healthcare team for this population.

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