scholarly journals Does Music Help to Stay Focus on the Road?

2020 ◽  
Vol 7 ◽  
pp. 1-5 ◽  
Author(s):  
MAI MARIAM MOHAMED AMINUDDIN ◽  
HASLINAH MODH NASIR
Keyword(s):  
Attention Deficit ◽  
Instrumental Music ◽  
Driving Performance ◽  
Road Accident ◽  
The Road ◽  
Or Methodology ◽  
On The Road ◽  
The Mind ◽  
Radio Talk

Attention in the physiological definition in one of several simultaneous occurrences of ideas takes ownership of the mind which means removing certain stuff to cope efficiently with others. Particular attention is required in driving in order to maintain track of the driver's vigilance to prevent the road accident. In this study, the driver's attention is analyzed by their driving performance from both the amplitude and accident rating of Electroencephalographic (EEG). The subjects were stimulated with radio talk, instrumental music and no sound (silent) in three separate recordings. It was found that drivers encounter much fewer accidents while listening to the radio talk compared to the music and worse driving score when driving in silence. This finding could be used as a foundation to develop tips or methodology to avoid the attention deficit while driving.

scholarly journals Nine Recommendations for the Safety on Road both of the People and the Traffic Police

2018 ◽  
Vol 1 (01) ◽  
pp. 79-85
Author(s):  
Madhur Dev Bhattarai
Keyword(s):  
Cost Effective ◽  
Road Accident ◽  
Public Hospitals ◽  
Occupational Hazards ◽  
Traffic Police ◽  
The Road ◽  
The People ◽  
On The Road ◽  
The Cost ◽  
Injured Patients

Safety of people and traffic police on road and the provision of prompt and appropriate treatment of injured persons in road accident are urgent concerns. The nine recommendations accordingly made are 1) Considering anyone who informs about or brings to the hospitals the accident victims as innocent until proved otherwise, 2) Annual payment by all vehicle owners (as per the cost of vehicles) to generate treatment fund for any road accident injured patients in the free general (not paying or private or extended health service) outdoor or emergency clinics or ward of the public hospitals irrespective of anyone’ fault in the accident (insurance or other agencies may be assigned to handle the amount deposited and reimbursement of the payments to the hospitals), 3) Implementation of helmet wearing by motorcycle riders and pillion riders in motorcycles, 4) Stricter fine for hazardous traffic offenses, 5) Drivers of the larger vehicles should not automatically be held responsible for any accidents involving other smaller vehicles (to prevent smaller vehicles and motorcycles to drive recklessly), 6) Drivers should not be just held responsible to bear health expenses of injured patients (which is much more than the compensation required in the event of death of injured persons); this is to encourage drivers to take injured persons immediately to hospitals and prevent inclination to allow their deaths indirectly or directly; the drivers should be proportionately fined or punished as per the traffic regulations if they are found to be negligent, 7) Safe and visible platform for the traffic police to stay on the road, 8) Provision of cost-effective respirators for traffic police and traffic supervisors, and 9) Compensation for occupational hazards to the traffic police and field traffic supervisors by distributing to them adequate proportion (e.g. one-third to one-half) of the fund collected by stricter fine paid for the hazardous traffic offences. Provision of various allowances, including for hazards, and benefits is a common practice in the country. Compensation for the occupational hazards of the traffic police provides incentives to and motivates them to remain vigilant about hazardous traffic offenses day and night everywhere and, thus, is essential for the safety of the people.   

scholarly journals Performance on the Road: Examining the Critical Role of Training Effectiveness Amongst the Blue-Collar Employees in Bahrain

2018 ◽  
Vol 8 (9) ◽  
pp. 342-351
Author(s):  
Umair Ahmed ◽  
Soleman Mozammel ◽  
Habib Ahmed
Keyword(s):  
Structural Equation ◽  
Training Programs ◽  
Employee Performance ◽  
Critical Role ◽  
Driving Performance ◽  
Training Effectiveness ◽  
Blue Collar ◽  
Equation Modeling ◽  
The Road ◽  
On The Road

The present study attempted to investigate the role or training effectiveness on the employee performance of blue-collar employees working in Bahrain Transportation sector. Therein, the study examined the effectiveness of five different training programs offered to large vehicle drivers serving in the transportation industry. A total of 135 bus drivers from Alsadiq transport company Bahrain were sampled for the study to outline the effectiveness of three major training programs that they were offered including Customer Handling & Passenger Safety, Health & Hygiene and Guide to traffic laws and driving in Bahrain on their driving performance. Structural equation modeling using smart PLS was used for the present study for data analysis and interpretation. The study found a significant relationship impact of two programs on their driving performance of the respondents. The study forwards theoretical and practical implications and scope for further studies.

scholarly journals Erratum to: On-the-road driving performance the morning after bedtime administration of lemborexant in healthy adult and elderly volunteers

SLEEP ◽  
2020 ◽  
Vol 43 (7) ◽  
Author(s):  
Annemiek Vermeeren ◽  
Stefan Jongen ◽  
Patricia Murphy ◽  
Margaret Moline ◽  
Gleb Filippov ◽  
...  
Keyword(s):  
Healthy Adult ◽  
Driving Performance ◽  
The Road ◽  
On The Road

scholarly journals On-the-road driving performance and driving-related skills in older untreated insomnia patients and chronic users of hypnotics

2014 ◽  
Author(s):  
T. R. M. Leufkens ◽  
J. G. Ramaekers ◽  
A. W. de Weerd ◽  
W. J. Riedel ◽  
A. Vermeeren
Keyword(s):  
Driving Performance ◽  
The Road ◽  
On The Road

scholarly journals Macro Models of Casualties in Road Transport / Modelowanie Strat Osobowych W Transporcie Drogowym

2012 ◽  
Vol 23 (1) ◽  
pp. 71-82
Author(s):  
Kazimierz Jamroz
Keyword(s):  
Road Safety ◽  
Road Transport ◽  
Road Accident ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Model Design ◽  
Safety Measures ◽  
The Road ◽  
Transport Safety ◽  
On The Road

Abstract To ensure that road transport safety measures are effective and efficient, forecast tools should be applied to help with strategic decision-making. Models of road safety measures provide such tools. The paper presents a proposed macro model of road accident casualties. The proposed models of road accident fatalities are built from a database covering more than fifty countries worldwide. The concepts of model design can be used for developing factor-based models to describe strategic societal risk on the road networks of selected countries worldwide. One of the concepts was applied to model the number of road accident fatalities. The analyses used Smeed’s model and its modifications developed for the needs of this analysis.

scholarly journals On-the-Road Driving Performance the Morning after Bedtime Use of Suvorexant 20 and 40 mg: A Study in Non-Elderly Healthy Volunteers

SLEEP ◽  
2015 ◽  
Vol 38 (11) ◽  
pp. 1803-1813 ◽  
Author(s):  
Annemiek Vermeeren ◽  
Hong Sun ◽  
Eric F.P.M. Vuurman ◽  
Stefan Jongen ◽  
Cees J. Van Leeuwen ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Driving Performance ◽  
The Road ◽  
On The Road

scholarly journals A psychological predictor of elders' driving performance: social-comparisons on the road

2013 ◽  
Vol 43 (3) ◽  
pp. 556-561 ◽  
Author(s):  
Becca R. Levy ◽  
Reuben Ng ◽  
Lindsey M. Myers ◽  
Richard A. Marottoli
Keyword(s):  
Social Comparisons ◽  
Driving Performance ◽  
The Road ◽  
On The Road ◽  
Psychological Predictor

scholarly journals Color Variation from Vehicle on The Road and Its Environment Through Subtle Motion Study Case

2018 ◽  
Vol 3 (1) ◽  
pp. 13-19
Author(s):  
Septian Enggar Sukmana ◽  
Farah Zakiyah Rahmanti
Keyword(s):  
Road Accident ◽  
Video Data ◽  
Color Variation ◽  
Unexpected Result ◽  
The Road ◽  
Motion Study ◽  
Computation Process ◽  
On The Road ◽  
The One ◽  
Black Color

Road accident has been serious case in Indonesia, the big number of the cases is not decreasing for six years. Many ways have been done, one of example is exploiting smart camera or CCTV to observe mocement estimation explicitly or implicitly. One problem is when explicit-based technique is applied, the computation process would take more resource. Implicit-based technique like exploitting processing-based frequency domain must be tried to make a better study and produce more knowledge in this study field. Color magnification can helpful information to support better movement estimation. This eulerian-based technique may be the one useful method to help this study. This paper implements eluerian video magnification to get color magnification on road as observed environment. This technique produces unexpected result that unknown black color appears, it still ambiguous because some scene can be described as black color object magnification result and another is shocking camera effect so that the technique is difficult to obtain color magnfication result. PSNR results quite better value because in spite of color magnification result distraction, the scenery of the road is not covered fully. SSIM shows that some mapping in each video data can not results same pattern, it is suspicious that SSIM mapping is affected by this color magnification result.

scholarly journals Detection of Coordinate Based Accident-Prone Areas on Road Surface using Machine Learning Methods

2020 ◽  
Vol 12 (3) ◽  
pp. 19-25
Author(s):  
Anitha Kumari Dara ◽  
Dr. A. Govardhan
Keyword(s):  
Spatial Data ◽  
Surface Defects ◽  
Road Accident ◽  
Road Surface ◽  
The Other ◽  
Work Outcomes ◽  
Traffic Density ◽  
Surface Conditions ◽  
The Road ◽  
On The Road

The growth in the road networks in India and other developing countries have influenced the growth in transport industry and other industries, which depends on the road network for operations. The industries such as postal services or mover services have influenced the similar growths in these industries as well. However, the dependency of these industries is high on the road surface conditions and any deviation on the road surface conditions can also influence the performance of the services provided by the mentioned services. Nonetheless, the conditions of the road surface are one of the prime factors for road safety and number of evidences are found, which are discussed in subsequent sections of this work, that the bad road surface conditions are increasing the road accidents. Several parallel research attempts are deployed in order to find out, the regions where the road surface conditions are not proper, and the traffic density is higher. Nevertheless, outcomes of these parallel works are highly criticised due to the lack of accuracy in detection of the road surface defects, detection of accurate location of the defects and detection of the traffic density data from various sources. Thus, this work proposes a novel framework for detection of the road defect and further mapping to the spatial data coordinates resulting into the detection of the accident-prone zones or accident affinities of the roads. This work deploys a self-adjusting parametric coefficient-based regression model for detection of the risk factors of the road defects and in the other hand, extracts the traffic density of the road regions and further maps the accident affinities. This work outcomes into 97.69% accurate detection of the road accident affinity and demonstrates less complexity compared with the other parallel research outcomes

scholarly journals Comparing objective wakefulness and vigilance tests to on‐the‐road driving performance in narcolepsy and idiopathic hypersomnia

2021 ◽  
Author(s):  
Denise Bijlenga ◽  
Bram Urbanus ◽  
Nick N. J. J. M. van der Sluiszen ◽  
Sebastiaan Overeem ◽  
Jan G. Ramaekers ◽  
...  
Keyword(s):  
Driving Performance ◽  
The Road ◽  
Idiopathic Hypersomnia ◽  
On The Road
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