Providing Safety and Detecting Accidents in Bike Transport With Smart Helmets Using IoT

2021 ◽  
pp. 280-303
Author(s):  
Santhi Selvaraj ◽  
Umakanth N.
Keyword(s):  
Network Connectivity ◽  
Fall Detection ◽  
Medical Attention ◽  
The Road ◽  
Injured Person ◽  
Wireless Device ◽  
Rf Module ◽  
Day By Day

IoT is the network of interconnected devices or things that are embedded with sensors, software, and network connectivity. The road mishaps are also increasing day by day, due to which many deaths occur, most of them caused by the negligence of not wearing helmets, and also many deaths occur due to lack of medical attention needed by the injured person, hence the need for a protective headgear that makes bike driving safer than before. This work is implemented by considering advanced features like alcohol detection and fall detection by using alcohol and accelerometer sensors and makes not only a smart helmet but also a feature for smart bikes. RF module is a wireless device that is used to communicate between transmitter and receiver. If the rider is found drunk, the ignition switch is locked automatically, and in event of accident, the abnormal value in accelerometer is detected and message is sent to their registered number by using GSM. Thus, if a bike rider falls from bike, the message is sent automatically, and medical attention is given immediately.

A Study on Job Satisfaction among Tamil Nadu State Transport Corporation (TNSTC) Employees at Tiruvarur Branch

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 230-242
Author(s):  
M. Ganesan, K ◽  
K. Veerakumar ◽  
N. R Vembu ◽  
Dr. M. K Durgamani ◽  
Dr. Renuka
Keyword(s):  
Job Satisfaction ◽  
Job Stress ◽  
Tamil Nadu ◽  
Heavy Traffic ◽  
Road Transportation ◽  
The Road ◽  
Tamil Nadu State ◽  
On The Road ◽  
Day By Day ◽  
Labour Turnover

Job satisfaction is an important factor for employees working in formal and informal sector. The job is small or big, permanent or temporary, risky or non-risky, job satisfaction is important. It is the mental feeling which drives the employees to excel. Job satisfaction is a combination of psychological, physiological and environmental circumstances. A satisfied employee is a contented and happy human being. The labour turnover depends upon job satisfaction. Even highly paid employees quit the job when they are not satisfied with the job. Road transportation in Tamilnadu is growing day by day. Job stress in the road transportation is very high due to increase in number of vehicle playing on the road and heavy traffic. The drivers and conductors working in public transport corporation are suffering from high job stress. If drivers and conductors are not satisfied with their job which leads to mental stresses and affects the productivity and also creates accidents. In this present study the researchers made an attempt to study the level of job satisfaction among the drivers and conductors who are working in the Tamilnadu State Transport Corporation (TNSTC). The study reveals the expectations of drivers and conductors working in TNSTC with regards to the attributes like salary, promotion and fringe benefits etc., are satisfactory and not detrimental. 

scholarly journals An Automatic Traffic Rules Violation Detection and Number Plate Recognition System for Bangladesh

2020 ◽  
Vol 19 (2) ◽  
pp. 87-98
Author(s):  
Raian Shahrear ◽  
Md. Anisur Rahman ◽  
Atif Islam ◽  
Chamak Dey ◽  
Md. Saniat Rahman Zishan
Keyword(s):  
Neural Network ◽  
Recognition System ◽  
The Road ◽  
Controlling System ◽  
Detection And Identification ◽  
Violation Detection ◽  
Computer Vision Technology ◽  
On The Road ◽  
Day By Day ◽  
Traffic Rules

The traffic controlling system in Bangladesh has not been updated enough with respect to fast improving technology. As a result, traffic rules violation detection and identification of the vehicle has become more difficult as the number of vehicles is increasing day by day. Moreover, controlling traffic is still manual. To solve this problem, the traffic controlling system can be digitalized by a system that consists of two major parts which are traffic rules violation detection and number plate recognition. In this research, these processes are done automatically which is based on machine learning, deep learning, and computer vision technology. Before starting this process, an object on the road is identified through the YOLOv3 algorithm. By using the OpenCV algorithm, traffic rules violation is detected and the vehicle that violated these rules is identified. To recognize the number plate of the vehicle, image acquisition, edge detection, segmentation of characters is done sequentially by using Convolution Neural Network (CNN) in MATLAB background. Among the traffic rules, the following traffic signal is implemented in this research.

scholarly journals The Study of How Open Community Based on Combination Weighting Method Influence on Road Capacity

2017 ◽  
Vol 11 (6) ◽  
pp. 15 ◽  
Author(s):  
Zhuhui He ◽  
Rui Liao ◽  
Longlong Wang
Keyword(s):  
Road Network ◽  
Comprehensive Evaluation ◽  
Positive Impact ◽  
Evaluation Model ◽  
Network Connectivity ◽  
Entropy Weight ◽  
Weighting Method ◽  
Linear Coefficient ◽  
The Road ◽  
Road Capacity

The paper studies whether the opening of community can improve the road capacity. First of all, based on the consideration of road space and traffic quality, the evaluation indexes are: road network density, road network connectivity, non-linear coefficient, traffic volume of main road beside community, delay time of intersection, travel time consumption and vehicle accessibility. Secondly, the weight of the index is calculated by the method of relative comparison, the variation coefficient method and the entropy weight method. Then, we sort the three weights, using the correlated coefficient and degree of spearman rank to combine the three weights, so as to get combined weights of various index and achieve the effect which makes good use of the method. Finally, we combine indicators and weights, establish a comprehensive evaluation model, and assess the road capacity before and after the opening of the road. Through the calculation, it is found that the comprehensive evaluation index after the opening of the community is higher than that before the opening, that is, the positive impact on the surrounding roads.

scholarly journals Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6479
Author(s):  
Luca Palmerini ◽  
Jochen Klenk ◽  
Clemens Becker ◽  
Lorenzo Chiari
Keyword(s):  
Machine Learning ◽  
Real World ◽  
Inertial Sensor ◽  
Fall Detection ◽  
Medical Attention ◽  
Support Vector ◽  
Detection Algorithms ◽  
Detection Systems ◽  
Machine Learning Approach ◽  
Extensive Collection

Falling is a significant health problem. Fall detection, to alert for medical attention, has been gaining increasing attention. Still, most of the existing studies use falls simulated in a laboratory environment to test the obtained performance. We analyzed the acceleration signals recorded by an inertial sensor on the lower back during 143 real-world falls (the most extensive collection to date) from the FARSEEING repository. Such data were obtained from continuous real-world monitoring of subjects with a moderate-to-high risk of falling. We designed and tested fall detection algorithms using features inspired by a multiphase fall model and a machine learning approach. The obtained results suggest that algorithms can learn effectively from features extracted from a multiphase fall model, consistently overperforming more conventional features. The most promising method (support vector machines and features from the multiphase fall model) obtained a sensitivity higher than 80%, a false alarm rate per hour of 0.56, and an F-measure of 64.6%. The reported results and methodologies represent an advancement of knowledge on real-world fall detection and suggest useful metrics for characterizing fall detection systems for real-world use.

Reliability Evaluation Model of Highway Network Connectivity in Western Mountainous Area

2013 ◽  
Vol 361-363 ◽  
pp. 2134-2139
Author(s):  
Xian Guang Wang ◽  
Xiao Nian Sun ◽  
Ming Wen Wang
Keyword(s):  
Road Network ◽  
Evaluation Model ◽  
Network Connectivity ◽  
Reliability Evaluation ◽  
Mountainous Area ◽  
The Road ◽  
Highway Network ◽  
Planning And Construction ◽  
Important Significance ◽  
Highway System

The research on the reliability of highway network connectivity has important significance in the western region. According to the characteristics of western mountainous highway, this paper sets up the reliability evaluation idea of highway network connectivity from the section to the route, from the route to the road network, and establishes the reliability evaluation model of the connectivity of section, route and road network based on the analysis of highway unit reliability. The research results provide the theoretical basis for western mountainous road network planning and construction as well as disaster-resistance and disaster-prevention countermeasures of highway system.

scholarly journals An algorithm for IoT based vehicle verification system using RFID

2019 ◽  
Vol 9 (5) ◽  
pp. 3751
Author(s):  
Alen Joseph Samuel ◽  
Shoney Sebastian
Keyword(s):  
Motor Vehicle ◽  
Rfid Technology ◽  
The Road ◽  
Verification System ◽  
On The Road ◽  
Verification Process ◽  
Pass Through ◽  
The Magnetic Field ◽  
Day By Day

The verification of vehicle documents is an important role of transport department which is rising day by day due to the mass registration of the vehicles. An automated vehicle verification system can improve the efficiency of this process.  In this paper, we propose an IOT based vehicle verification system using RFID technology. As a result, the vehicle checking which is done now manually can be replaced by automation. There is a loss of a significant amount of time when the normal vehicle checking is done manually. The proposed system will make this process automated. The present verification process is using inductive loops that are placed in a roadbed for detecting vehicles as they pass through the loop of the magnetic field. Similarly, the sensing devices spread along the road can detect passing vehicles through the Bluetooth mechanism. The fixed audio detection devices that can be used to identify the type of vehicles on the road. Other measurements are fixed cameras installed in specific points of roads for categorising the vehicles. But all these mechanisms cannot verify the documents and certificates of the vehicles. In our work, we have suggested an algorithm using RFID technology to automate the documentation verification process of the vehicles like Pollution, Insurance, Rc book etc with the help of RFID reader placed at road checking areas. This documents will be updated by the motor vehicle department at specific periods.

scholarly journals An Efficient Accident Rescue System using Lora

2020 ◽  
Vol 9 (6) ◽  
pp. 1055-1059
Keyword(s):  
Cellular Network ◽  
High Impact ◽  
Medical Assistance ◽  
Traditional Methods ◽  
The Road ◽  
Injured Person ◽  
Current Location ◽  
Prone Area ◽  
Rescue System ◽  
Gps Device

The road fatalities in India are increasing exponentially. These road fatalities have high impact on any country. The life of the injured person can be saved by providing the medical assistance. The traditional methods mainly concentrate on the transmission of the messages using the cellular network. The methodology of this project is to identify the location of the accident prone area and send that coordinates to the nearest medical help centers. The communication takes place between the rider and the system with the help of the Bluetooth device. GPS device is very well-known for the identification of the current location. The coordinates of the accident prone area will be extracted using GPS. The latitude and longitude coordinates of different hospitals will be stored in the database. The coordinates of the accident prone area and the coordinates of hospitals in the database can be mapped and the distance between them can be calculated. The coordinates of the nearest hospitals can be recognized and the communication can be established with that hospital.

scholarly journals Second Century Defences around Small Towns in Roman Britain Structured by Road Network Connectivity

2021 ◽  
Author(s):  
Joseph Lewis
Keyword(s):  
Roman Empire ◽  
Road Network ◽  
Large Scale ◽  
Network Connectivity ◽  
Small Towns ◽  
Second Century ◽  
Roman Britain ◽  
The Road ◽  
Inference Methods ◽  
Flow Of Information

The large-scale provision of defences around small towns in Roman Britain during the second century is without parallel in the Roman Empire. Whilst the relationship between defended small towns and the Roman road network has been noted previously, provincial-level patterns remain to be explored. Using network analysis and spatial inference methods, this paper shows that defended small towns in the second century are on average better integrated within the road network, as well as located on road segments important for controlling the flow of information, than small towns at random. This research suggests that the fortification of small towns in the second century was structured by the connectivity of the Roman road network and the functioning of the cursus publicus

scholarly journals THE CORRELATION BETWEEN THE OPEN SPACE EXISTENCE AND BUILDING HEIGHT ON JAKARTA’S ROADS

2020 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Made Anggita Wahyudi Linggasani
Keyword(s):  
Analytical Method ◽  
Human Activities ◽  
Open Space ◽  
Local Development ◽  
Rapid Development ◽  
Building Construction ◽  
Border Line ◽  
The Road ◽  
The City ◽  
Day By Day

Jakarta, the capital of Indonesia, is indirectly experiencing rapid development in building construction. As a result, day by day Jakarta is becoming crowded by buildings and eventually forced to negate the existence of open space in one site. This condition is also experienced in Jalan Jaksa (a tourism area) and Jalan Wahid Hasyim (at the end of Jalan Jaksa). Both of these roads seem lacking in considering the existence of local development regulations that should pay attention to the rules of the building border line (GSB) and the road border line (GSJ). To find out the truth, the research will be conducted through the method of observing the city face on both roads. The analytical method used is correspondence analysis using variable height of buildings and the existence of open space in each building. Based on the results of the analysis, it was found that there are still many buildings that not applying the rules of the building border line (GSB) and the road border line (GSJ). Especially for one-story buildings that tend not to have a yard (open space area) on the front as a form of implementing the GSB / GSJ rules. Meanwhile, multi-storey buildings (2-storey, 3-storey, etc.) here in general have a yard in the front. The existence of the yard is actually important to be provided as an open space, because it can accommodate human activities and needs, such as a parking area or an assembly point when a disaster occurs.

scholarly journals Finding the Nearest Blood Donors using Dijkstra Algorithm

SISFORMA ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 40 ◽  
Author(s):  
Md. Sabir Hossain ◽  
Nayan Das ◽  
Muhammad Kamrul Hossain Patwary ◽  
Md. Al-Hasan
Keyword(s):  
Blood Donor ◽  
Blood Donors ◽  
Road Accident ◽  
Dijkstra Algorithm ◽  
The Road ◽  
Shortest Distance ◽  
Short Period ◽  
Day By Day

Now-a-days frequent mishaps like the road accident or other life-risking accident leading to operational emergencies are increasing day by day and the blood donor for such victims or patients are very hard to find in a short period. Sometimes it is really tough to collect the blood of the same group from the relatives of a patient in dying moments. The main objective of this work is to make a connection with these two groups who are in need of blood and who are willing to donate. We have determined the shortest distance between blood seeker and blood donors using the Dijkstra Algorithm. Anybody can contact the nearest blood donor of any group in a particular area quickly. By implementing this idea, the harassment of the victim can be lessened and so many lives can be saved.

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