scholarly journals Design and Implementation of Arduino based Riders Safe Guard 2.0

No matter how careful and attentive people are on road, accidents do happen. The only way to have a safe journey is by following safety measures. To decrease the death rate of bike riders, this paper proposes a solution called Rider’s Safe Guard 2.0. Few incidents due to wrong decisions on road may cost our precious life due to recklessness. This work automates the process and the responsibility of decision making is given to the micro controller. Microcontroller makes sure whether the rider is wearing safety gear such as the helmet and whether the ride is under any alcohol intake. By analyzing both these condition the motor starts running and the circuit gets connected to the vehicle ignition switch. Micro controller Arduino Nano and Uno based system insists the rider to wear helmet to ride the bike as long as the motor is on. As there is no declination in road accidents, this system can be made mandatory in every two wheeler and the same can be extended for fourwheelers for wearing seat belts and doesnot allow if the rider is alcoholic.

2020 ◽  
Vol 2 (4) ◽  
pp. 21-30
Author(s):  
Dharani P ◽  
Ganesh T ◽  
Gopinath V ◽  
Sharmasth Vali Y

According to the law of the Indian government as per section 129 of the motor vehicle act of 1988 briefly explains the motorcycle or two-wheeler rider is mandatory to wear the helmet while driving and the recent survey conducted on road accidents by the world health organization (WHO). This WHO organization has briefly mentioned the cause and the prevention of road accidents that are happened around the world. They also mentioned the highest death rate that took place in India and the survey also reported as per the rate 1.5 lakh of road death has been accounted for by each year approximately. The above article motivates us to develop a system that is capable of providing safety and precaution to the bike rider. We designed a system that is capable of detecting the rider is whether wearing the helmet or not. Then detecting if the rider has consumed alcohol or not, whether if these two conditions are yet satisfied then only the motor will ignite or else it will not ignite. In case an accident occurred, our system is capable of detecting the accident and its location approximately. We implanted the led strip indication in the helmet unit to reduce the percentage of an accident during night times.


Author(s):  
Carlo Cialdai ◽  
Dario Vangi ◽  
Antonio Virga

This paper presents an analysis of the situation in which a two-wheeler (i.e. a motorcycle, where the term motorcycles includes scooters) falls over to the side and then successively slides; this typically occurs in road accidents involving this type of vehicle. Knowing the deceleration rate of the sliding phase allows the kinetic energy dissipated and the speed of the motorcycle just before the fall to the ground to be calculated. These parameters are very important in the analysis and reconstruction of accidents. The work presented in this paper was developed in two experimental test sessions on fully faired motorcycles which are mainly of the scooter type and widely used in urban areas. In the first session, sliding tests were carried out, with the speed in the range 10–50 km/h, on three different types of road surface. Analysis of the evidence allowed the dissipative main phases of motion of the motorcycle (the impact with the ground, the rebounds and the stabilized swiping) to be identified and some factors affecting the phenomenon to be studied. The coefficient of average deceleration was calculated using two typical equations. The second test session consisted of drag tests. In these tests, the motorcycle, which had previously laid on its side, was dragged for a few metres at a constant speed of about 20 km/h, while the drag force was measured. A comparison of the results obtained in these tests with those obtained in the sliding tests yielded very good agreement in the coefficients of deceleration.


Author(s):  
Tripura Pidikiti , Et. al.

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.


Author(s):  
Lamyaa El Bassiti

At the heart of all policy design and implementation, there is a need to understand how well decisions are made. It is evidently known that the quality of decision making depends significantly on the quality of the analyses and advice provided to the associated actors. Over decades, organizations were highly diligent in gathering and processing vast amounts of data, but they have given less emphasis on how these data can be used in policy argument. With the arrival of big data, attention has been focused on whether it could be used to inform policy-making. This chapter aims to bridge this gap, to understand variations in how big data could yield usable evidence, and how policymakers can make better use of those evidence in policy choices. An integrated and holistic look at how solving complex problems could be conducted on the basis of semantic technologies and big data is presented in this chapter.


Author(s):  
Eleana Asimakopoulou ◽  
Chimay J. Anumba ◽  
Bouchlaghem ◽  
Bouchlaghem

Much work is under way within the Grid technology community on issues associated with the development of services to foster collaboration via the integration and exploitation of multiple autonomous, distributed data sources through a seamless and flexible virtualized interface. However, several obstacles arise in the design and implementation of such services. A notable obstacle, namely how clients within a data Grid environment can be kept automatically informed of the latest and relevant changes about data entered/committed in single or multiple autonomous distributed datasets is identified. The view is that keeping interested users informed of relevant changes occurring across their domain of interest will enlarge their decision-making space which in turn will increase the opportunities for a more informed decision to be encountered. With this in mind, the chapter goes on to describe in detail the model architecture and its implementation to keep interested users informed automatically about relevant up-to-date data.


2019 ◽  
Vol 262 ◽  
pp. 05006
Author(s):  
Stanisław Gaca ◽  
Mariusz Kieć

Local roads (district roads) constitute an important part of the road network in Poland, making up around 29.7 % (124,945 km) of all public roads. In 2017, 10,578 accidents, which is 35.7% of all accidents in Poland, took place on local roads. These roads are used primarily by regular users who are very familiar with the defects of these roads. This means that the effects of the low technical standard of local roads and the insufficient number of road traffic devices on the safety on the road can be partly compensated for by the fact that drivers adjust their behaviour to the conditions on the road. This hypothesis can be verified through developing dependency models of road safety measures of local roads’ and technical characteristics. The article presents the research carried out based on regression models of accident prediction. The models were developed with the use of the data on the road surroundings arrangement (built-up areas, access), road condition and the extent of signposting, including data on speed limits and overtaking as well as risk exposure variables. Due to the incomplete data on accidents and the small number of accidents, different approaches to the modelling of the number of road accidents were applied.


Author(s):  
Michael Gibbs

A large, mature and robust economics literature now provides a useful framework for understanding incentives. This chapter uses the lessons of that literature to discuss how to design and implement pay for performance in practice. A unified treatment of properties of numeric performance measures is provided, including how performance measures relate to employee knowledge and decision making. Subjective performance evaluation, and the tie of evaluations to rewards, are analyzed. Practical implementation issues, such as matching of pay for performance to job design, motivating creativity, and links between incentives and employee selection, are considered. The chapter concludes with suggested directions for future research.


Author(s):  
Anna Lowry

AbstractThis chapter focuses on the state program “Digital Economy of the Russian Federation” (2017) and its subsequent transformation into the national project (2018) to be implemented from 2018 to 2024. It examines the effectiveness of the government’s strategy in this area and provides an analysis of the program’s content in terms of its main objectives and mechanisms of implementation, drawing on the constructive criticism of the program in the literature. It also reviews the history of the development of the program, main actors involved in its design and implementation, and the nature of the decision-making process.


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