scholarly journals Drink and Drive Prohibitor System With Biometric Authentication And Accident Alerting System Using IOT

2021 ◽  
pp. 1154-1161
Author(s):  
Dhananjay H. Koli ◽  
Prasad S. Dhorje ◽  
Nikita V. Alawane ◽  
Prof. P. A. Upadhye
Keyword(s):  
Public Health Problem ◽  
Road Accident ◽  
Gas Content ◽  
Biometric Authentication ◽  
Drinking And Driving ◽  
Alcohol Content ◽  
The Road ◽  
Vehicle System ◽  
Alerting System ◽  
Near Future

Drinking and driving is already a serious public health problem ,which is likely to emerge as one of the most significant problems in near future .the system implemented by us aims at reducing the road accident in the near future due to drunk and drive . This project present the progress in using the alcohol detector ,a device that senses a change in the alcoholic gas content of the surrounding air these device is more commonly referred to as a breath analysis, as it analysis the alcohol content from person’s breath. The system detects the presence of alcohol in the vehicle and immediately locks the engine of the vehicle. System starts on fingerprint authentication and also track vehicle with the help of GSM/GPS module in case of accident occurs.

scholarly journals Detection of Distracted Car Drivers using Convolutional Neural Network

2020 ◽  
Vol 8 (6) ◽  
pp. 4175-4176
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Data Collection ◽  
Road Accident ◽  
Panic Attacks ◽  
The Internet ◽  
The Road ◽  
Vehicle System ◽  
Survey Report ◽  
Self Driving Cars

According to survey report on the internet, the road accident cases are increasing exponentially. Most of the accident cases are due to distraction of drivers, over speed, panic attacks of drivers. We are proposing a system that will take control of the vehicle system if the driver is distracted. The existing system uses a sensor based indication or Recurrent Neural Network (RNN) installed semi self driving cars. The proposed system uses Convolutional Neural Networks to understand the behaviour of the driver and the environment. Naturalistic data collection of ten drivers is being collected and are treated as a qualifying dataset.

scholarly journals Driving license regranting in DUI subjects: Road accident variables and predictive factors of substance use disorder

2021 ◽  
Vol 104 (3) ◽  
pp. 003685042110337
Author(s):  
Elena Beccegato ◽  
Angelo Ruggeri ◽  
Massimo Montisci ◽  
Claudio Terranova
Keyword(s):  
Substance Use ◽  
Comparison Group ◽  
Blood Alcohol Concentration ◽  
Road Accident ◽  
Ethyl Glucuronide ◽  
Binary Logistic Regression Analysis ◽  
Psychoactive Substance ◽  
Psychoactive Substances ◽  
Driving License ◽  
The Road

A comparative case study (2017–2020) was conducted to identify demographic, social, medico-legal, and toxicological variables associated with non-fatal accidents in driving under the influence (DUI) subjects. A second aim was to identify the factors predictive of substance use disorders among subjects. Drivers charged with alcohol DUI (blood alcohol concentration (BAC) > 0.5) and/or psychoactive substance DUI were included; cases included those involved in an accident while intoxicated, and the comparison group included DUI offenders negative for road accident involvement. Significance was determined by chi-square and Mann–Whitney tests. To prevent confounding effects, a multivariate binary logistic regression analysis was performed. Our sample encompassed 882 subjects (381 in the case group and 501 in the comparison group). Parameters such as psychoactive substances and BAC at the time of the road crash/DUI and the day of the week, when subjects were involved in the road accident or found DUI, resulted in significant differences ( p < 0.01) between groups. The model’s independent variables of BAC > 1.5 g/L ( p = 0.013), BAC > 2.5 g/L ( p < 0.001), and concurrent alcohol and psychoactive substance use ( p < 0.001) were independent risk factors for an accident. Smoking >20 cigarettes/day was an independent risk factor for unfitness to drive ( p < 0.01). Unfitness to drive was based primarily on ethyl glucuronide levels >30 pg/mg. Our results suggest a detailed assessment of DUI subjects with variables associated with accidents (BAC > 1.5 g/L and concurrent intake of psychoactive substances). Hair analysis, including ethylglucuronide (EtG) concentration, should be always performed. Based on our results, nicotine use should be investigated in cases of driving license regranting.

scholarly journals Nine Recommendations for the Safety on Road both of the People and the Traffic Police

2018 ◽  
Vol 1 (01) ◽  
pp. 79-85
Author(s):  
Madhur Dev Bhattarai
Keyword(s):  
Cost Effective ◽  
Road Accident ◽  
Public Hospitals ◽  
Occupational Hazards ◽  
Traffic Police ◽  
The Road ◽  
The People ◽  
On The Road ◽  
The Cost ◽  
Injured Patients

Safety of people and traffic police on road and the provision of prompt and appropriate treatment of injured persons in road accident are urgent concerns. The nine recommendations accordingly made are 1) Considering anyone who informs about or brings to the hospitals the accident victims as innocent until proved otherwise, 2) Annual payment by all vehicle owners (as per the cost of vehicles) to generate treatment fund for any road accident injured patients in the free general (not paying or private or extended health service) outdoor or emergency clinics or ward of the public hospitals irrespective of anyone’ fault in the accident (insurance or other agencies may be assigned to handle the amount deposited and reimbursement of the payments to the hospitals), 3) Implementation of helmet wearing by motorcycle riders and pillion riders in motorcycles, 4) Stricter fine for hazardous traffic offenses, 5) Drivers of the larger vehicles should not automatically be held responsible for any accidents involving other smaller vehicles (to prevent smaller vehicles and motorcycles to drive recklessly), 6) Drivers should not be just held responsible to bear health expenses of injured patients (which is much more than the compensation required in the event of death of injured persons); this is to encourage drivers to take injured persons immediately to hospitals and prevent inclination to allow their deaths indirectly or directly; the drivers should be proportionately fined or punished as per the traffic regulations if they are found to be negligent, 7) Safe and visible platform for the traffic police to stay on the road, 8) Provision of cost-effective respirators for traffic police and traffic supervisors, and 9) Compensation for occupational hazards to the traffic police and field traffic supervisors by distributing to them adequate proportion (e.g. one-third to one-half) of the fund collected by stricter fine paid for the hazardous traffic offences. Provision of various allowances, including for hazards, and benefits is a common practice in the country. Compensation for the occupational hazards of the traffic police provides incentives to and motivates them to remain vigilant about hazardous traffic offenses day and night everywhere and, thus, is essential for the safety of the people.   

scholarly journals RTA Mathematic Simulation Principles at the Autotechnical Expertise

2021 ◽  
Vol 334 ◽  
pp. 02026
Author(s):  
Badrudin Gasanov ◽  
Artem Efimov ◽  
Jurij Grebennikov
Keyword(s):  
Mathematical Model ◽  
Road Transport ◽  
Road Accident ◽  
Momentum Vector ◽  
The Road ◽  
Solid Friction ◽  
Strain Stress ◽  
Determination Methods ◽  
Determine Step ◽  
Energy Conservation Law

The features of carrying out an autotechnical expertise (ATE) are considered in case the vehicles (V) participating in the road transport accident (RTA) don’t leave skid imprints. The examples of momentum and energy conservation law application are given at developing the road accident mathematical model. Special attention is paid to the determination methods of vehicle (V) velocity, travel directions in various RTA diagrams and archeology of deformation. For this purpose it is offered to draw a momentum vector diagram. It is reasonable that for the calculation of V deformation at RTA it is necessary to determine step by step the strain-stress state in a contact area on the basis of the theories of elasticity, plasticity, solid friction and finite-element methods. The technique of constructing an RTA mathematical model is developed. It is recommended to use at ATE of RTAs at the runs-over into the fixed obstacle (a stationary V) and collisions.

scholarly journals Case Study for Road Safety Audit of Aurangabad City

2020 ◽  
Vol 170 ◽  
pp. 06008
Author(s):  
Prashant Awsarmal ◽  
S. L. Hake ◽  
Shubham Vaidya ◽  
P. K. Bhandari ◽  
M. P. Wagh
Keyword(s):  
Road Safety ◽  
Human Life ◽  
Research Work ◽  
Police Department ◽  
Road Accident ◽  
Audit Process ◽  
Severe Injuries ◽  
The Road ◽  
Road Geometry ◽  
Road Safety Audit

Efficient road network is a part-n-parcel of rapid industralization, urbanization and development of nation. While designing roads and highways, main emphasis is given on speed which will help to reduce time of journey and save fuel. But safety of drivers and passengers travelling along road is also important. In past, it was observed that while travelling, due to excess speed passengers safety was compromised. It will lead to accidents. It may cause severe injuries and loss of human life. Therefore it is important to check every aspect of vehicles as well as road during its design, construction and throughout the life of the road. Road safety audit is conducted to check performance of new road projects on grounds of offering maximum safety. Also checks are applied to study performance of existing roads to suggest repairs, rehabiliatation and maintenance work in order to improve condition of roads. During audit process, accident prone locations are identified. Past accident record from traffic department, Police department, hospitals etc are referred to understand damage that had occured. Even road geometry is investigated on technical basis. In present investigation, particular stretch of Beed Bypass Road passing through Aurangabad city in Maharashtra state, India was selected. On this road, accident sites where major accidents occurred in past were identified and investigated for different parameters. Based upon study, different causes of accidents and thereafter preventive methods were recommended during research work.

scholarly journals Macro Models of Casualties in Road Transport / Modelowanie Strat Osobowych W Transporcie Drogowym

2012 ◽  
Vol 23 (1) ◽  
pp. 71-82
Author(s):  
Kazimierz Jamroz
Keyword(s):  
Road Safety ◽  
Road Transport ◽  
Road Accident ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Model Design ◽  
Safety Measures ◽  
The Road ◽  
Transport Safety ◽  
On The Road

Abstract To ensure that road transport safety measures are effective and efficient, forecast tools should be applied to help with strategic decision-making. Models of road safety measures provide such tools. The paper presents a proposed macro model of road accident casualties. The proposed models of road accident fatalities are built from a database covering more than fifty countries worldwide. The concepts of model design can be used for developing factor-based models to describe strategic societal risk on the road networks of selected countries worldwide. One of the concepts was applied to model the number of road accident fatalities. The analyses used Smeed’s model and its modifications developed for the needs of this analysis.

Impaired Driver Assistance Control With Gain-Scheduling Composite Nonlinear Feedback for Vehicle Trajectory Tracking

2020 ◽  
Vol 142 (7) ◽  
Author(s):  
Yimin Chen ◽  
Chuan Hu ◽  
Junmin Wang
Keyword(s):  
Trajectory Tracking ◽  
Controller Design ◽  
Gain Scheduling ◽  
Driver Model ◽  
Model Parameters ◽  
Nonlinear Feedback ◽  
Composite Nonlinear Feedback ◽  
The Road ◽  
Vehicle System ◽  
Feedback Algorithm

Abstract Impaired drivers have deteriorated driving performances that may greatly endanger the road safety. It is challenging to design assistance controllers for the impaired drivers because the impaired driver behaviors are difficult to be modeled and considered in the controller design. To this end, this paper proposes a gain-scheduling composite nonlinear feedback (GCNF) controller to assist the impaired drivers. A driver-vehicle system containing the impaired driver model is developed. The steering behaviors of the impaired drivers are described by deteriorating the driver model parameters and including the driver uncertainties. Based on the driver-vehicle system, a GCNF controller integrating the gain-scheduling technique, the weighted H∞ performance, and the composite nonlinear feedback algorithm is designed to handle the declined driving performances and improve the transient performances. The designed GCNF controller is validated in the carsim simulations. The simulation results show that the GCNF controller can effectively assist the impaired drivers of different impaired levels to reduce the trajectory tracking errors and improve the driving performances.

scholarly journals Long-term needs of motor vehicle accident victims: are they being met?

2001 ◽  
Vol 24 (1) ◽  
pp. 128 ◽  
Author(s):  
Sue Jeavons
Keyword(s):  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Psychological Trauma ◽  
Road Accident ◽  
Psychological Services ◽  
Insurance Companies ◽  
Emotional Needs ◽  
The Road ◽  
Vehicle Accident ◽  
Support Team

This paper uses the context of a longitudinal rural study, which examined the extent of psychological trauma andpredictors of that trauma following road accidents, to highlight issues for road accident survivors. It then outlines whatcounselling and psychological services are currently offered to road accident victims by the insurance companies andby a voluntary agency, the Road Trauma Support Team. Overall it appears that psychological and emotional needs ofsurvivors are not always acknowledged or provided for.

scholarly journals Estimation of the state of the road industry of Voronezh: ways of modernization and modern methods of its development

2018 ◽  
Vol 170 ◽  
pp. 01123
Author(s):  
Alla Polovinkina ◽  
Tatyana Sviridova ◽  
Irina Kuleshova
Keyword(s):  
Long Range ◽  
Transport System ◽  
Statistical Data ◽  
The State ◽  
The Road ◽  
Existing Problems ◽  
Modern Methods ◽  
Near Future ◽  
The City ◽  
Road System

The paper is dedicated to the estimation of the state of the road economy of Voronezh up to date. The state of the Voronezh road system is analysed, statistical data are given, and the problems of the city transport system are studied. On the basis of all the data obtained, ways to solve existing problems are proposed and long-range programs for the construction of new and reconstruction in operation roads are considered. The complex of works of the improvement state of the road system planned for the near future is described in detail.

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