scholarly journals SSW: Smart Steering Wheel for Real-Time Heart Rate Monitoring of Drivers

2020 ◽  
Vol 9 (4) ◽  
pp. 3040-3043
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Health Condition ◽  
World Health ◽  
Steering Wheel ◽  
Road Accidents ◽  
The Road ◽  
Related Data ◽  
Rescue Team ◽  
On The Road

It’s very hard to know that Over 467,044 accidents took place specifically on the road in our country in 2018 as per a report revealed by the MoRTH recently. Rapid increasing in numbers of vehicles on the road, stress level of drivers in traffic and even lethargic driving are few reasons for road accidents. Unfortunately, sudden heart attacks of drivers also a reason behind some road accidents; this can be preventable. During driving, monitoring heart rate is not a big deal in today’s hi-tech world. Health monitoring while driving is not only important in daily healthcare, also a prevention of bus accidents. Here the proposed work is designing a smart steering wheel based on the technology so-called the Internet of Things (IoT) that monitors the heart rate and foresees the onslaught of fatigue of a driver; also it shares the location to the rescue team. Pulse sensor, GPS and GSM modules are conjoined into the steering wheel. The setup once it gets powered-up, which transmits the data of a driver’s health condition and get stored in the cloud environment. By this approach, the steering wheel gives the real-time based monitoring. Therefore this work is aiming for the development of a system which includes multiple sensors incorporated with the steering wheel which is capable to measure the pulse rate and alert the rescue team dynamically about the health related data of a driver, to prevent accidents.

CHILDREN ROAD SAFETY AWARENESS: DESIGN AND DEVELOPMENT OF A ROAD SAFETY APPLICATION

2015 ◽  
Vol 77 (29) ◽  
Author(s):  
Nassiriah Shaari ◽  
Aeni Zuhana Saidin ◽  
Asmidah Alwi
Keyword(s):  
Road Safety ◽  
Web Application ◽  
Interactive Multimedia ◽  
Road Accidents ◽  
Design And Development ◽  
The Road ◽  
Usability Test ◽  
Safety Awareness ◽  
Safety Application ◽  
On The Road

Road safety campaigns and programs have been extensively introduced and implemented in Malaysia. However, their effectiveness is still being debated. Children especially will become the unfortunate victims of road accidents if they are unaware of the danger and precaution actions to be safe on the road. In response to that, this paper introduces an application as an alternative that inculcates road safety awareness to further support existing related programs and campaigns. Particularly, an interactive web application incorporating interactive multimedia elements has been designed and evaluated. Results on the usability test indicate a promising success and highlight aspects and issues that can be further focused for improvement and enhancement. 

scholarly journals Designing Traffic Signal at an Unsignalized Intersection

2021 ◽  
pp. 90-107
Author(s):  
Prachi Agrawal ◽  
Preeti Kumari ◽  
Dr. Manish Dutta
Keyword(s):  
Programming Language ◽  
Smart City ◽  
Traffic Signal ◽  
Road Accidents ◽  
The Road ◽  
Road Intersections ◽  
Smooth Movement ◽  
On The Road

The increasing number of vehicles on the road intersections has given rise to many problems like road accidents, congestions add conflicts. These problems can only be solved by deigning proper traffic signal at intersections for continuous and smooth movement of vehicles Nagpur- though the smart city- is also facing the same problem. This paper presents the proper designing and simulation of traffic signal at an unsignalized intersection at Nagpur. The paper deals with the simulation of designed signal through a programming language like Python.

PREVENTION OF ADMINISTRATIVE OFFENSES IN THE FIELD OF ROAD TRAFFIC BY THE INTERNAL AFFAIRS BODIES

2021 ◽  
pp. 38-40
Author(s):  
А.Р. Исмагилова
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
The State ◽  
Road Accidents ◽  
The Road ◽  
Internal Affairs ◽  
On The Road

В статье раскрываются полномочия сотрудников подразделений пропаганды Государственной инспекции безопасности дорожного движения в целях профилактики дорожно-транспортных происшествий и травматизма на дороге. The article reveals the powers of the employees of the propaganda units of the State Traffic Safety Inspectorate in order to prevent road accidents and injuries on the road.

The Integrative Time-Dependent Modeling of the Reliability and Failure of the Causes of Drivers' Error Leading to Road Accidents

2015 ◽  
pp. 1279-1294
Author(s):  
Khashayar Hojjati-Emami ◽  
Balbir S. Dhillon ◽  
Kouroush Jenab
Keyword(s):  
Human Error ◽  
Time Dependent ◽  
Failure Rates ◽  
Road Accidents ◽  
Road Transportation ◽  
The Road ◽  
Representational Model ◽  
On The Road ◽  
The Moment ◽  
Dependent Failure

Nowadays, the human error is usually identified as the conclusive cause of investigations in road accidents. The human although is the person in control of vehicle until the moment of crash but it has to be understood that the human is under continued impact by various factors including road environment, vehicle and human's state, abilities and conduct. The current advances in design of vehicle and roads have been intended to provide drivers with extra comfort with less physical and mental efforts, whereas the fatigue imposed on driver is just being transformed from over-load fatigue to under-load fatigue and boredom. A representational model to illustrate the relationships between design and condition of vehicle and road as well as driver's condition and state on fatigue and the human error leading to accidents has been developed. Thereafter, the stochastic mathematical models based on time-dependent failure rates were developed to make prediction on the road transportation reliability and failure probabilities due to each cause (vehicle, road environment, human due to fatigue, and human due to non fatigue factors). Furthermore, the supportive assessment methodology and models to assess and predict the failure rates of driver due to each category of causes were developed and proposed.

scholarly journals Studies on the impact of the technical characteristics of local roads on road safety

2019 ◽  
Vol 262 ◽  
pp. 05006
Author(s):  
Stanisław Gaca ◽  
Mariusz Kieć
Keyword(s):  
Road Safety ◽  
Road Traffic ◽  
Road Accidents ◽  
Safety Measures ◽  
Accident Prediction ◽  
The Road ◽  
Access Road ◽  
Local Roads ◽  
On The Road ◽  
The Impact

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.

scholarly journals Towards a Real-Time Driver Workload Estimator: An On-the-Road Study

2016 ◽  
pp. 1151-1164
Author(s):  
Peter van Leeuwen ◽  
Renske Landman ◽  
Lejo Buning ◽  
Tobias Heffelaar ◽  
Jeroen Hogema ◽  
...  
Keyword(s):  
Real Time ◽  
The Road ◽  
Driver Workload ◽  
On The Road ◽  
Road Study

scholarly journals Automatic Detection and Classification of Road, Car, and Pedestrian Using Binocular Cameras in Traffic Scenes with a Common Framework

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Yongchao Song ◽  
Jieru Yao ◽  
Yongfeng Ju ◽  
Yahong Jiang ◽  
Kai Du
Keyword(s):  
Real Time ◽  
Pedestrian Detection ◽  
Minimum Energy ◽  
Automatic Detection ◽  
Initial Contour ◽  
Target Area ◽  
Threshold Method ◽  
The Real ◽  
The Road ◽  
On The Road

In order to solve the problems of traffic object detection, fuzzification, and simplification in real traffic environment, an automatic detection and classification algorithm for roads, vehicles, and pedestrians with multiple traffic objects under the same framework is proposed. We construct the final V view through a considerate U-V view method, which determines the location of the horizon and the initial contour of the road. Road detection results are obtained through error label reclassification, omitting point reassignment, and so an. We propose a peripheral envelope algorithm to determine sources of vehicles and pedestrians on the road. The initial segmentation results are determined by the regional growth of the source point through the minimum neighbor similarity algorithm. Vehicle detection results on the road are confirmed by combining disparity and color energy minimum algorithms with the object window aspect ratio threshold method. A method of multifeature fusion is presented to obtain the pedestrian target area, and the pedestrian detection results on the road are accurately segmented by combining the disparity neighbor similarity and the minimum energy algorithm. The algorithm is tested in three datasets of Enpeda, KITTI, and Daimler; then, the corresponding results prove the efficiency and accuracy of the proposed approach. Meanwhile, the real-time analysis of the algorithm is performed, and the average time efficiency is 13 pfs, which can realize the real-time performance of the detection process.

A Picture is Worth a Thousand Words: Share Your Real-Time View on the Road

2017 ◽  
Vol 66 (4) ◽  
pp. 2902-2914 ◽  
Author(s):  
Xiong Wang ◽  
Lei Ding ◽  
Qi Wang ◽  
Jin Xie ◽  
Tianyi Wang ◽  
...  
Keyword(s):  
Real Time ◽  
The Road ◽  
On The Road
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