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.

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 Experimental and Numerical Characterization of the Sliding Rotary Vane Expander Intake Pressure in Order to Develop a Novel Control-Diagnostic Procedure

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1970 ◽  
Author(s):  
Fabio Fatigati ◽  
Marco Di Bartolomeo ◽  
Davide Di Battista ◽  
Roberto Cipollone
Keyword(s):  
Waste Heat ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Maximum Pressure ◽  
Operating Parameters ◽  
Road Transportation ◽  
The Road ◽  
Numerical Characterization ◽  
On The Road ◽  
Intake Pressure

Waste heat recovery via Organic Rankine Cycle (ORC)-based power units represents one of the most promising solutions to counteract the effects of CO2 emissions on climate change. Nevertheless, several aspects are still limiting its development on the on-the-road transportation sector. Among these aspects, the significant variations of the conditions of the hot source (exhaust gases) are a crucial point. Therefore, the components of the ORC-based unit operate far from the design point if the main operating parameters of the plant are not suitably controlled. The maximum pressure of the cycle is one of the most important variables to be controlled for the importance it has on the effectiveness of the recovery and on safety of operation. In this paper, a wide experimental and theoretical activity was performed in order to define the operating parameters that mostly affect the maximum pressure of the recovery unit. The results showed that the mass flow rate provided by the pump and the expander volumetric efficiency were the main drivers that affect the plant maximum pressure. Subsequently, through a validated model of the expander, a diagnostic map was outlined to evaluate if the expander and, consequently, the whole plant were properly working.

scholarly journals Measurement and analysis of truck vibrations during off-road transportation

2018 ◽  
Vol 211 ◽  
pp. 13003
Author(s):  
Dariusz Grzesica
Keyword(s):  
Amplitude Spectrum ◽  
Road Transportation ◽  
The Road ◽  
Rate Acceleration ◽  
Measurement And Analysis ◽  
Vehicle Security ◽  
On The Road ◽  
Vertical Vibrations ◽  
The Fourier Transform ◽  
The Impact

Measurement of vibration of the vehicle on the road surface is one of the key elements of cargo and vehicle security. This paper provides results from transporting military cargo study that analyzed the various vibrations of acceleration during transport on a stony pavement road. The data include vibrations from three directions: longitudinal, transverse and vertical. Based on collected data the quantitative analysis of vibrations was conducted. The peak acceleration as well as the acceleration level was identified. The growth rate acceleration affecting the smoothness of driving and the impact of the vehicle on the stony surface were calculated. The study shows that the greatest impact on transporting cargo have vertical vibrations. In addition, using the Fourier transform, amplitude spectrum for all directions of oscillation was assigned.

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 Kewenangan Aparat Kepolisian dalam Pengawalan Konvoi Kendaraan Bermotor Berukuran Besar di Jalan Raya

2020 ◽  
Vol 1 (2) ◽  
pp. 399-403
Author(s):  
I Made Adi Putra ◽  
I Nyoman Putu Budiartha ◽  
I Ketut Sukadana
Keyword(s):  
Public Interest ◽  
Legal Issues ◽  
Road Transportation ◽  
Legal Research ◽  
Traffic Signs ◽  
The Public ◽  
The Road ◽  
The Republic ◽  
On The Road ◽  
National Police

It is common for a large motorbike convoy to cause accidents, both between large motorbike riders and other vehicle riders. This is due to the fact that the speed of the large-sized motorbikes itself can be said to be quite fast, coupled with the behavior of some of these riders who sometimes like to run red lights and put aside the traffic signs, which often results in accidents. Based on this factual background, the legal issues examined in this study are: What is the authority of the police in escorting large motorbike convoys and what is the responsibility of the police in implementing the convoy when accident victims occur on the road. The type of research used in this research is normative legal research. The results of this research are that the authority of the police apparatus in providing escort for large motorbike convoys is the provision of Article 14 letters a and 18 paragraph (1) of Law no. 2 of 2002 concerning the National Police of the Republic of Indonesia and Article 12 letter e of Law No. 22 of 2009. These provisions basically constitute the authority of the police apparatus to carry out the regulation, guarding, escort and patrol of community and government activities as needed, and to give the authority to act according to their own judgment in the public interest. The responsibility of the police is to carry out the convoy in the event of a victim of an accident on the highway in order to maintain order and ensure security, safety, orderliness and smoothness of road transportation.

scholarly journals Pedestrian Safety in Chennai

2020 ◽  
Vol 31 (3) ◽  
pp. 15-32
Author(s):  
Sumana Narayanan
Keyword(s):  
Tamil Nadu ◽  
The Elderly ◽  
Road Crashes ◽  
The Road ◽  
Road Users ◽  
On The Road ◽  
Pedestrian Infrastructure ◽  
Chennai City ◽  
Perception Survey ◽  
Motorised Transport

Pedestrian and cyclist safety are not considered by urban planners or road users in India. Data on road crashes tend to underreport crashes involving this group. In spite of adopting a Non-Motorised-Transport (NMT) friendly policy in 2014, Chennai city in Tamil Nadu continues to prioritise motorised transport. Five years after the NMT Policy adoption, pedestrian infrastructure was assessed in 11 locations. A perception survey of 37 road users was also conducted as the Policy calls for changing the mindset of motorists towards pedestrians. The pedestrian infrastructure assessment found that footpath and pedestrian crossings are inadequate with only six locations having contiguous, wide, walkable footpaths for some distance. Even in these locations, the footpath is encroached upon by parked vehicles, garbage, utilities, and shops. Even roads which have seen pedestrian-focussed interventions fall short. Pedestrian infrastructure, what little exists, is not friendly towards the elderly and people with disabilities. The perception survey suggests that pedestrians are not safe on the roads and that motorists do not slow down or stop for pedestrians. Some motorists (autorickshaw drivers and bus drivers) felt that pedestrians put themselves at risk by walking on the road and crossing the road as they please. Pedestrians interviewed, however, pointed out that footpaths are few, and those that exist are encroached upon, forcing pedestrians to walk on the road. In spite of being the first city in India to adopt an NMT Policy, many pedestrians continues to be precarious

scholarly journals WATI: Warning of Traffic Incidents for Fuel Saving

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
V. Corcoba Magaña ◽  
M. Muñoz-Organero
Keyword(s):  
Fuel Consumption ◽  
Heavy Traffic ◽  
Slope Angle ◽  
Resistance Coefficient ◽  
Accelerator Pedal ◽  
Traffic Incidents ◽  
The Road ◽  
Adverse Weather ◽  
On The Road ◽  
The Impact

Traffic incidents (heavy traffic, adverse weather conditions, and traffic accidents) cause an increase in the frequency and intensity of the acceleration and deceleration. The result is a very significant increase in fuel consumption. In this paper, we propose a solution to reduce the impact of such events on energy consumption. The solution detects the traffic incidents based on measured telemetry data from vehicles and the different driver profiles. The proposal takes into account the rolling resistance coefficient, the road slope angle, and the vehicles speeds, from vehicles which are on the scene of the traffic incident, in order to estimate the optimal deceleration profile. Adapted advice and feedback are provided to the drivers in order to appropriately and timely release the accelerator pedal. The expert system is implemented on Android mobile devices and has been validated using a dataset of 150 tests using 15 different drivers. The main contribution of this paper is the proposal of a system to detect traffic incidents and provide an optimal deceleration pattern for the driver to follow without requiring sensors on the road. The results show an improvement on the fuel consumption of up to 13.47%.

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