Exploration of Road Accidents Severity and Inquiry of Reason for Road Accidents in National Highways in Tamil Nadu

2019 ◽  
Vol 9 (1) ◽  
pp. 2173-2177
Keyword(s):  
Economic Development ◽  
Tamil Nadu ◽  
State Level ◽  
Road Accident ◽  
Road Accidents ◽  
Road Transportation ◽  
The Road ◽  
Accident Severity ◽  
Transportation Development

Recent day’s government of India is more particular about the Road transportation development as it leads to the economic development of the nation. With the improvement of road, the risk of road accidents, injuries and fatalities has also outstretched to the extreme extent. Road accident severity has been recorded to 31.8% in 2017 in India. Among this more than 30% of the accidents are befalling in National Highways. Among the total Indian roads, 1.8% is National Highways which carry about 40% of the Indian traffic. Huge volume of traffics on national highways and the attitude of the driver towards driving on National Highways are the important reason for National Highways road accidents. The researchers in the recent study are going to analyse about the severity of road accidents in National and in state level by calculating the number of deaths to every 100 road accidents. The researchers are also going to analyse the reasons for National highways road accidents from people’s perspective.

scholarly journals The Effects of Roadside Hazards on Road Accident Severity

2019 ◽  
Vol 49 (2) ◽  
pp. 319-339 ◽  
Author(s):  
Marcin Budzyński ◽  
Kazimierz Jamroz ◽  
Łukasz Jeliński ◽  
Anna Gobis
Keyword(s):  
Road Safety ◽  
Road Accident ◽  
Road User ◽  
Road Accidents ◽  
Safety Equipment ◽  
Design Rules ◽  
The Road ◽  
Run Off ◽  
Safety Strategies ◽  
Accident Severity

Abstract The risk of becoming involved in an accident emerges when elements of the transport system do not operate properly (man – vehicle – road – roadside). The road, its traffic layout and safety equipment have a critical impact on road user safety. This gives infrastructural work a priority in road safety strategies and programmes. Run-off-road accidents continue to be one of the biggest problems of road safety with consequences including vehicle roll-over or hitting a roadside object. This type of incident represents more than 20% of rural accidents and about 18% of all road deaths in Poland. Mathematical models must be developed to determine how selected roadside factors affect road safety and provide a basis for new roadside design rules and guidelines.

scholarly journals Accident Severity in India

2020 ◽  
Vol 8 (12s3) ◽  
pp. 55-58
Keyword(s):  
Statistical Analysis ◽  
Road Transport ◽  
Road Accident ◽  
The Other ◽  
Road Accidents ◽  
Transportation Services ◽  
The Road ◽  
Accident Severity

Among all the transportation services available, road transport is one of the most important services available. It acts as a feeder for the other services. According to the Ministry of Road Transport and Highways, the road transport amounts to the traffic of about 87% related to the passenger and 60% related to the freight. Now, there is another field, where road transport is among the top list and that field is of road accidents. In 2016, about 150785 people died in road accidents. And as the population is increasing, there is also an increase in the rate of road accidents. So, it is vital to analyze the data of road accidents for future predictions and thereby developing proper measures for this increasing rate. Many factorsresult in accidents and many cases might not have been recorded. So, the available data may not be consistent, but the data is gathered mainly from the Ministry of Road Transport and Highways and then the information was extracted from that data. This information is used for the statistical analysis for the prediction of a future road accident or accident severity.

scholarly journals Naive Explanations of Road Accidents: Self-Serving Bias and Defensive Attribution

2020 ◽  
Vol 5 (2) ◽  
pp. 36-47
Author(s):  
Stéphanie Bordel ◽  
Gérard Guingouain ◽  
Alain Somat ◽  
Florence Terrade ◽  
Anne-Valérie Aubouin ◽  
...  
Keyword(s):  
Road Safety ◽  
Self Esteem ◽  
Road Accident ◽  
Motivational Strategies ◽  
Road Accidents ◽  
The Road ◽  
Accident Severity ◽  
Defensive Attribution

The aim of this article is to take into account the explanations given by people involved in road accident (drivers, passengers and witnesses) so as to consider preconisation susceptible to improve road safety. Testimonies from 205 reports of the French "Gendarmerie Nationale" were analysed. The results show the existence of actor (driver)/observer (passenger and witness) asymmetry in attribution. In fact, observers give as many internal explanations as external explanations, when actors give more external explanations than internal explanations. This result can be interpreted in term of self-serving bias (in so far as we note an effect of the severity of the outcomes on the drivers' explanations) and also can be interpreted according to the theory of defensive attribution (even if we fail to show that observers' explanations can be influenced by accident severity). Actors and observers explain events with different categories (actor/observer asymmetry bias), but use the same motivational strategies of protection: drivers would try to protect their self-esteem in order to avoid being held responsible for the accident (self-serving bias), while observers would try to protect themselves (defensive attribution) from the idea that they could find themselves in the same situation. Finally, we examine some preconisations likely to enhance the road safety.

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 Road Transport Accidents in Nigeria and the Role of Automotive Active Safety System

2016 ◽  
Vol 11 (1) ◽  
pp. 49-54
Author(s):  
Olasunkanmi Oriola Akinyemi ◽  
Hezekiah O Adeyemi ◽  
Olusegun Jinadu
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Transportation Network ◽  
Road Transport ◽  
Road Accident ◽  
Active Safety ◽  
Road Accidents ◽  
Road Transportation ◽  
Road Traffic Safety

Abstract Analysis of road traffic accidents revealed that most accidents are as a result of drivers’ errors. Over the years, active safety systems (ASS) were devised in vehicle to reduce the high level of road accidents, caused by human errors, leading to death and injuries. This study however evaluated the impacts of ASS inclusions into vehicles in Nigeria road transportation network. The objectives was to measure how ASS contributed to making driving safer and enhanced transport safety. Road accident data were collected, for a period of eleven years, from Lagos State Ministry of Economic Planning and Budget, Central Office of Statistics. Quantitative analysis of the retrospective accident was conducted by computing the proportion of yearly number of vehicles involved in road accident to the total number of vehicles for each year. Results of the analysis showed that the proportion of vehicles involved in road accidents decreased from 16 in 1996 to 0.89 in 2006, the injured persons reduced from 15.58 in 1998 to 0.3 in 2006 and the death rate diminished from 4.45 in 1998 to 0.1 in 2006. These represented 94.4 %, 95 % and 95 % improvement respectively on road traffic safety. It can therefore be concluded that the inclusions of ASS into design of modern vehicles had improved road safety in Nigeria automotive industry.

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 Willingness-To-Pay for Estimation the Risk Pedestrian Group Accident Cost

2020 ◽  
Vol 6 (6) ◽  
pp. 1064-1073 ◽  
Author(s):  
Chompoonut Puttawong ◽  
Preeda Chaturabong
Keyword(s):  
Willingness To Pay ◽  
Injury Risk ◽  
Road Accident ◽  
Road Accidents ◽  
The Road ◽  
Statistical Life ◽  
Perception Of Safety ◽  
Road Users ◽  
Pedestrian Injury ◽  
The Cost

The proven willingness-to-pay with contingent valuation (WTP-CV) method is an effective tool for evaluating the cost of road accidents in many countries. In Thailand, the most fatalities on Thailand’s roads involve the vulnerable road users (VRUs) including motorcycle users, bicyclists, and pedestrians. With the effectiveness of using WTP-CV in analyzing the accident cost of motorcycle users and lack of specific accident cost for pedestrians, this research focuses on evaluating the accident cost on the pedestrians which is the second most VRU fatality. In this research, the road accident cost of pedestrians aged 15-39 years in Bangkok by WTP-CV method was determined. The WTP-CV questionnaire was employed as a tool to measure the payment of which each pedestrian is willing to pay to reduce the fatality and injury risk from road accidents. One thousand and two hundred pedestrians in Bangkok were interviewed. With the results, the value of statistical life (VOSL) for pedestrians in Bangkok is valued at US$ 0.43 million, while the value of statistical injury (VOSI) is estimated at about US$ 0.014 million, respectively. In addition, it is found from the regression analysis that for the fatality risk reduction, higher educational levels and private business pedestrians are likely to pay more to save their lives. In order to reduce the risk of injury, respondents, who are single in marriage status, are likely to pay more to reduce the risk of pedestrian injury. However, a high perception of safety is less likely to pay for the reduction of injury risk.

scholarly journals Modeling the Complexity of Road Accidents Prevention

2020 ◽  
Vol 9 (2) ◽  
pp. 24-41
Author(s):  
Alex Kizito ◽  
Agnes Rwashana Semwanga
Keyword(s):  
Traffic Safety ◽  
Police Officers ◽  
Road Transport ◽  
Road Accident ◽  
Road Accidents ◽  
Dynamic Interactions ◽  
The Road ◽  
Dynamic Synthesis ◽  
Road Users ◽  
Synthesis Methodology

Simplistic representations of traffic safety disregard the dynamic interactions between the components of the road transport system (RTS). The resultant road accident (RA) preventive measures are consequently focused almost solely on individual/team failures at the sharp end of the RTS (mainly the road users). The RTS is complex and therefore cannot be easily understood by studying the system parts in isolation. The study modeled the occurrence of road accidents in Uganda using the dynamic synthesis methodology (DSM). This article presents the work done in the first three stages of the DSM. Data was collected from various stakeholders including road users, traffic police officers, road users, and road constructors. The study focused on RA prevention by considering the linear and non-linear interactions of the variables during the pre-crash phase. Qualitative models were developed and from these, key leverage points that could possibly lower the road accident incidences demonstrating the need for a shared system wide responsibility for road safety at all levels are suggested.

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

2013 ◽  
Vol 4 (1) ◽  
pp. 25-39 ◽  
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 Identification of Road Accident by using Black Spot Method Between Panthaghati to Dhalli Road

2020 ◽  
Vol 9 (2) ◽  
pp. 723-728
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Research Paper ◽  
Road Accident ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
The Road ◽  
Black Spots

In India road accidents are very serious problem because of large population and high traffic density of vehicles. Most of the road accidents occur mainly due to the negligence of driver and poor infrastructure only a few accidents occur due to the technical error of vehicles. The main purpose of this research paper is prevention of road traffic accidents and improvement of road safety in Shimla. Road safety is very important aspect of today’s life, so it is important that everybody should aware about road safety. To do this study a section of 12km length is chosen between Panthaghati to Dhalli in district Shimla on NH 5 where accidents black spots are identified for the section by analyzing secondary data used to prevent road accidents. In this study primary data is used for observing the road conditions and secondary data is used to find accidents black spot. Black Spot is a point or a place on the road where road accident occurs repeatedly one after another which is known as accident black spot. To identify these black spots we use weighted severity index (WSI) method. It is one the most reliable and effective method for determining the most proven accidents black spots. Shimla is a hilly area and it has narrow roads, blind curve and black spots which increase the chances of road traffic accidents. In past recent years road traffic accidents are increasing in Shimla and this study deals with identification of major issues causing road traffic accidents. This research paper helps to improve the road safety in Shimla because in this study the analysis has been done to identify the major problems responsible for gradually increasing road accidents. This research paper is also used in future research paper as reference purpose and it will also provide an overview to other researchers who want do their research on similar kind of topics.

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