Vehicle fleet planning the road transportation industry

1990 ◽  
Vol 37 (1) ◽  
pp. 31-36 ◽  
Author(s):  
J. Couillard ◽  
A. Martel
Keyword(s):  
Transportation Industry ◽  
Road Transportation ◽  
The Road ◽  
Fleet Planning ◽  
Vehicle Fleet

scholarly journals Characteristics and Causes of Particularly Major Road Traffic Accidents Involving Commercial Vehicles in China

2021 ◽  
Vol 18 (8) ◽  
pp. 3878
Author(s):  
Mingwei Yan ◽  
Wentao Chen ◽  
Jianhao Wang ◽  
Mengmeng Zhang ◽  
Liang Zhao
Keyword(s):  
Traffic Accidents ◽  
Safety Management ◽  
Road Traffic ◽  
Transportation Industry ◽  
Commercial Vehicles ◽  
Road Transportation ◽  
Organizational Safety ◽  
The Road ◽  
Dangerous Goods ◽  
Preventative Measures

Major accidents occurred frequently in the road transportation industry, and the resulting harm to drivers, property loss, and traffic interruption are very serious. This study investigated 11 particularly major accidents involving commercial vehicles in China, and performed analysis on accident characteristics regarding the time, location, types of vehicles, and accident causation at different levels based on the 24Model. Large buses and dangerous goods vehicles were involved in 10 accidents and they all occurred on a freeway. The months from May to August, especially during the time periods of 2:00–4:00 and 14:00–16:00 every day, were the most prone to accidents. The driver’s speeding and fatigued driving, and vehicle failure were the direct causes of most of the accidents. The defects in organizational safety management involved 12 system elements, such as safety accountability, education and training, etc. Procedures are of no use if they were not followed, and there was often no effective process to assess the implementation of procedures in many organizations. The weaknesses in organizational safety culture were the source of accidents, which was mainly manifested in members’ inadequate cognition of key elements in the aspects of safety importance, safety commitment, safety management system, etc. Understanding the characteristics and root causes of accidents can help to prevent the recurrence of similar mistakes and strengthen preventative measures in road transportation enterprises.

Research on Yichang Road Transportation Evaluation Based on the Total Factor Productivity

2013 ◽  
Vol 694-697 ◽  
pp. 3325-3328
Author(s):  
Xiao Rong Gong ◽  
Bin Zhan
Keyword(s):  
Total Factor Productivity ◽  
Reference Value ◽  
Road Transport ◽  
Transportation Industry ◽  
Factor Productivity ◽  
Road Transportation ◽  
Output Data ◽  
Development Status ◽  
The Road ◽  
Input And Output

The input and output data of Yichang road transportation Industry from 2000 to 2010 were concluded in this paper, then the development status and trends of Yichang Road Transportation Industry were analyzed.Meanwhile I used the total factorproductivity method to analyze Yichang road transportation productivity, analyzing the changes of the total factor productivity from the perspective of regression analysis. In short, by measuring and analyzing total factor productivity of Yichang roadtransportation industry, the development status of the road transportation industry can be better grasped and the restrictive factors and sources of growth that impact the development of road transport industry are found. The paper aims to provide the future development of Yichang road transportation certain reference value.

scholarly journals A Research on Driving Factors of Carbon Emissions of Road Transportation Industry in Six Asia-Pacific Countries Based on the LMDI Decomposition Method

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4152 ◽  
Author(s):  
Changzheng Zhu ◽  
Wenbo Du
Keyword(s):  
Carbon Emissions ◽  
Decomposition Method ◽  
Energy Intensity ◽  
Driving Factors ◽  
Asia Pacific ◽  
Transportation Industry ◽  
Road Transportation ◽  
Intensity Effect ◽  
The Road ◽  
Economic Output

The transportation industry is the second largest industry of carbon emissions in the world, and the road transportation industry accounts for a large proportion of this in the global transportation industry. The carbon emissions of the road transportation industry in six Asia-Pacific countries (Australia, Canada, China, India, Russia, and the United States) accounts for more than 50% of this in the global transportation industry. Therefore, it is of great significance to study driving factors of carbon emissions of the road transportation industry in six Asia-Pacific countries for controlling global carbon emissions. In this paper, the Logarithmic Mean Divisia Index (LMDI) decomposition method is adopted to analyze driving factors on carbon emissions of the road transportation industry in six Asia-Pacific countries from 1990 to 2016. The results show that carbon emissions of the road transportation industry in these six Asia-Pacific countries was 2961.37 million tons in 2016, with an increase of 84.43% compared with those in 1990. The economic output effect and the population size effect have positive driving influences on carbon emissions of the road transportation industry, in which the economic output effect is still the most important driving factor. The energy intensity effect and the transportation intensity effect have different influences on driving carbon emissions of the road transportation industry for these six Asia-Pacific Countries. Furthermore, the carbon emissions coefficient effect has a relatively small influence. Hence, in order to effectively control carbon emissions of the road transportation industry in these six Asia-Pacific countries, it is necessary to control the impact of economic developments on the environment, to reduce energy intensity by promoting the conversion of road transportation to rail and water transportation, and to lower the carbon emissions coefficient by continuously improving vehicle emission standards and fuel quality.

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. 

Improvement of the visual warning system for various driving and road conditions in road transportation

2017 ◽  
Vol 232 (2) ◽  
pp. 175-187 ◽  
Author(s):  
Güray Tonguç ◽  
İsmail Hakkı Akçay ◽  
Habib Gürbüz
Keyword(s):  
Warning System ◽  
Weather Conditions ◽  
The Other ◽  
Accelerometer Data ◽  
Road Transportation ◽  
Accelerometer Sensor ◽  
The Road ◽  
Information Displays ◽  
Driving Conditions ◽  
Vehicle Information

This study aims to identify the potential adverse driving conditions which result from driver behavior, road surfaces and weather conditions for vehicles during a cruise, and to inform the drivers of the other vehicles moving on the same route. Adverse driving condition scenarios were developed via acceleration data in lateral, longitudinal and vertical directions gathered by using an accelerometer sensor placed at the gravity center of the test vehicles. The drivers were warned through the symbols designed according to the developed scenarios in different shapes and colors, displayed on an information screen showing the position of the vehicle. Three different software programs were used for gathering and evaluating the accelerometer data, storing scenario-specific symbols on the internet and transferring these symbols to the other vehicle information displays. The road tests were performed in conditions present in Turkey. It was observed that the vehicle drivers were alerted with the warning symbols which were designed for dangerous road and driving conditions with a latency of approximately 6s on Google maps which appeared on the driver information screen.

scholarly journals Reconsidering the Cybersecurity Framework in the Road Transportation Domain

2020 ◽  
Vol 17 (9) ◽  
pp. 57-83
Author(s):  
Mohammed Obaid ◽  
Zsolt Szalay ◽  
Árpád Török
Keyword(s):  
Road Transportation ◽  
The Road
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