scholarly journals Sensor Based Accidents Prevention System for Hilly Region

2021 ◽  
pp. 380-386
Author(s):  
Prof. Amar Shitole ◽  
Tanmay Dharkar ◽  
Rahul Chorte ◽  
Pooja Dive ◽  
Harshada Kapure
Keyword(s):  
Developing Countries ◽  
Ultrasonic Sensor ◽  
Motive Force ◽  
Led Light ◽  
Safety Standards ◽  
The Road ◽  
Hilly Region ◽  
Prevention System

Within the Developing countries accident is that the main reason for death. If we watch top 10 countries within the globe all of them are mountain road and curve roads. Within the mountain there’ll be tight curves and narrow roads due to this visibility is blocked .In these reasonably situation the motive force of vehicle cannot see vehicle coming from opposite side. The developing countries need to adopt the model followed by developing countries like Netherland & Denmark where roads are built in line with their function .in developing countries buses and trucks are more involved in accidents because of lack of proper safety standards. Thousands of individuals lost their lives due to this problem. . utilization of day time light, high mounted stop lamps, reflectors, colorful clothing has decreased the incidence of crashes due to poor visibility. The answer of this problem is alerting the motive force about the vehicle coming from opposite side. This is often done by keeping the ultrasonic sensor in one side of the road before the curve and keeping a LED light after the curve ,so that vehicle comes from one side of curve a senses and LED light glow at opposite side. By viewing the LED light on /off criteria the motive force can become alert and may hamper the speed of vehicle.

Sensor Based Accident Prevention System

2020 ◽  
Vol 17 (4) ◽  
pp. 1720-1724
Author(s):  
M. Nithya ◽  
N. Pooranam ◽  
R. Deepalakshmi ◽  
M. Aruna Rani ◽  
S. Anandha Swarna
Keyword(s):  
Developing Countries ◽  
Cause Of Death ◽  
Accident Prevention ◽  
Vehicle Speed ◽  
Led Light ◽  
The Road ◽  
Prevention System ◽  
The World ◽  
On The Road ◽  
The One

In the developing countries accident is the major cause of death. The top 10 dangerous roads in the world are mountain roads and 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. Thousands of people lose their lives each year because of this problem. The mountain roads might lead to a cliff. The solution for this problem is alerting the driver about the vehicle coming from opposite side in the hair-pin bends. That can be performed by placing the ultrasonic sensor on the road in one side before the road curve and then will keep the LED light after that curve, thus the vehicle which comes from the one end of the curve, the sensors which is present in that curve will sense and makes the LED light glows along with that buzzer sound and also vehicle speed is displayed at the opposite side. By looking at the LED light on signal driver can become alert and can slow down the speed of the vehicle. Thus it saves more lives.

Road Safety at Ghats using IoT

2021 ◽  
Vol 9 (VII) ◽  
pp. 132-136
Author(s):  
Alaparthi Maneesha
Keyword(s):  
Developing Countries ◽  
Cause Of Death ◽  
Road Safety ◽  
Led Light ◽  
The Road ◽  
The World

This paper describes how to overcome accidents at Ghat roads. In the developing countries accident is the major cause of death. If we look at the top 10 dangerous roads in the world we can see that all of them are mountain roads and 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. Thousands of people lose their lives each year because of this problem. The solution to this problem is developing the Aurdino based project to provide safe and secure journey while travelling to the Ghat roads, Hill Stations, etc. It is provided by alerting the driver about the vehicle coming from opposite side. This is done by keeping a sensor in one side of the road before the curve and keeping a LED light after the curve, so that if 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 become alert and can slow down the speed of the vehicle.

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.

CREATING WALKING LED TRANSIT STATIONS FOR WOMEN IN MALAYSIA

2020 ◽  
Vol 7 (1) ◽  
pp. 99
Author(s):  
Yong Adilah Shamsul Harumain ◽  
Nur Farhana Azmi ◽  
Suhaini Yusoff
Keyword(s):  
Quality Of Life ◽  
Developing Countries ◽  
Public Transportation ◽  
Carbon Emission ◽  
The Other ◽  
Walking Distance ◽  
The Road ◽  
On The Road ◽  
Female User

Transit stations are generally well known as nodes of spaces where percentage of people walking are relatively high. The issue is do more planning is actually given to create walkability. Creating walking led transit stations involves planning of walking distance, providing facilities like pathways, toilets, seating and lighting. On the other hand, creating walking led transit station for women uncover a new epitome. Walking becomes one of the most important forms of mobility for women in developing countries nowadays. Encouraging women to use public transportation is not just about another effort to promote the use of public transportation but also another great endeavour to reduce numbers of traffic on the road. This also means, creating an effort to control accidents rate, reducing carbon emission, improving health and eventually, developing the quality of life. Hence, in this paper, we sought first to find out the factors that motivate women to walk at transit stations in Malaysia. A questionnaire survey with 562 female user of Light Railway Transit (LRT) was conducted at LRT stations along Kelana Jaya Line. Both built and non-built environment characteristics, particularly distance, safety and facilities were found as factors that are consistently associated with women walkability. With these findings, the paper highlights the criteria  which are needed to create and make betterment of transit stations not just for women but also for walkability in general.

Risk Analysis and Safety Evaluation of Biomass Cookstoves

2005 ◽  
Author(s):  
Nathan G. Johnson ◽  
Mark Bryden ◽  
Angran Xiao
Keyword(s):  
Developing Countries ◽  
Ad Hoc ◽  
Fuel Efficiency ◽  
Safety Evaluation ◽  
Particulate Emissions ◽  
Safety Issues ◽  
Safety Standards ◽  
Governmental Organizations ◽  
Non Governmental Organizations ◽  
Biomass Cookstoves

Combustion of biomass in open fires and ad hoc unventilated stoves is the primary form of household energy for two to three billion people worldwide. These cookstoves have significant health, social, and economic impacts on poor families in developing countries. These impacts include disease, injury, excess time spent gathering fuel, deforestation, and high fuel costs relative to income. In an attempt to address many of these problems numerous non-governmental organizations have developed several biomass cookstove designs in the past five to ten years. These designs have generally focused on increasing fuel efficiency, and to a lesser degree, reducing particulate emissions. This emphasis has been driven largely by the availability of relatively straight forward fuel efficiency tests for biomass cookstoves developed 10–20 years ago and the ability of researchers to adapt current air pollution testing methods for stoves. In contrast there are no safety standards or hazard evaluations available for biomass cookstoves. Because of this the safety of the cookstove is seldom explicitly considered as a part of the design process. This paper addresses the basic safety issues that should be considered in the design of biomass stoves used in developing countries, describes the reasoning behind these safety issues, and proposes a set of safety guidelines for testing and evaluating stove safety. These guidelines are intended for testing and evaluating in the field as well as in the design lab.

scholarly journals Traffic Sign Detection Based on Convolutional Neural Network

2021 ◽  
Vol 9 (8) ◽  
pp. 2926-2934
Author(s):  
Arjun Dileep
Keyword(s):  
Recognition Rate ◽  
Vital Role ◽  
Motive Force ◽  
Image Process ◽  
Traffic Sign ◽  
The Road ◽  
Sign Detection ◽  
Help Systems ◽  
Traffic Sign Detection ◽  
Detection And Recognition

Abstract: In today's world, nearly everything we have a tendency to do has been simplified by machine-driven tasks. In a trial to specialize in the road whereas driving, drivers usually miss out on signs on the facet of the road, that can be dangerous for them and for the folks around them. This drawback may be avoided if there was AN economical thanks to inform the motive force while not having them to shift their focus. Traffic Sign Detection and Recognition (TSDR) plays a vital role here by detection and recognizing a symptom, therefore notifying the motive force of any coming signs. This not solely ensures road safety, however additionally permits the motive force to be at very little a lot of ease whereas driving on tough or new roads. Another normally long-faced drawback isn't having the ability to know the which means of the sign. With the assistance of this Advanced Driver help Systems (ADAS) application, drivers can not face the matter of understanding what the sign says. during this paper, we have a tendency to propose a way for Traffic Sign Detection and Recognition exploitation image process for the detection of a symptom and a Convolutional Neural Networks (CNN) for the popularity of the sign. CNNs have a high recognition rate, therefore creating it fascinating to use for implementing varied laptop vision tasks. TensorFlow is employed for the implementation of the CNN. Keywords: actitvity recognition; knowledge collection; knowledge preprocessing; coaching CNN model ;evaluating model; predicting the result.

scholarly journals The Road to Sustainable Development: Existing Problems and Solutions

2021 ◽  
Vol 7 (09) ◽  
pp. 91-95
Author(s):  
Kaustubh Jain
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Biodiversity Loss ◽  
Indigenous Communities ◽  
The Road ◽  
Existing Problems ◽  
Problems And Solutions ◽  
Long Time ◽  
The Impact

The debate about developing countries having to choose between economic growth and biodiversity protection has been going on for a long time. This paper sought to add to existing literature written on that topic by exploring the relationship between economic growth and biodiversity loss. It argued that in the long term, developing countries need to protect biodiversity as a prerequisite for economic growth to occur and that the severe impact of biodiversity loss on vulnerable indigenous communities is a reason enough to make the protection of biodiversity a priority. The researcher first identified the primary reasons for why biodiversity occurs, then advocated for the prevention of biodiversity by exploring two impacts of biodiversity loss: the impact on indigenous communities and the impact on economic growth. The paper then briefly also explained the policies that both governments, as well as nongovernment actors, can implement in order to tackle biodiversity loss and protect our environment.

Dynamic Modal Analysis of a Passenger Bus: Theoretical and Numerical Studies

2021 ◽  
pp. 036119812110288
Author(s):  
Rogério Lopes ◽  
Behzad V. Farahani ◽  
Francisco Q. de Melo ◽  
Nuno V. Ramos ◽  
Pedro M. G. P. Moreira
Keyword(s):  
Modal Analysis ◽  
Environmental Sustainability ◽  
Dynamic Models ◽  
Dynamic Assessment ◽  
Elastic Behavior ◽  
Fem Modeling ◽  
Simplified Approach ◽  
Safety Standards ◽  
The Road ◽  
Deformation Models

The dynamic assessment of a passenger bus is of the highest importance when aiming at high safety standards and low emissions for environmental sustainability. This work studies the dynamic response of a bus considering its modal analysis, for which simple dynamic models were developed for fast determination of the lowest frequencies, mainly arising from the suspension flexibility. In addition, complex natural vibration modes, impossible to determine using simplified models, were calculated via finite element method (FEM) modeling. To study the tire elastic behavior, as the key link between the vehicle and the road, specific deformation models, leading to a stiffness matrix to be combined with that of the vehicle spring suspension at each wheel/axis, were developed. This study aims at proposing a set of mathematical formulations to describe the modal behavior of passenger buses in detail, which could be applicable in any other long vehicle with similar conditions. Two main factors are studied, namely the suspension and the tire deformation effect. An acceptable agreement was verified between the simplified approach and FEM model results for the evaluation of natural frequencies and associated modes.

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