scholarly journals Application of a new Model for Fatigue Identification of Commercial Vehicles Drivers

2019 ◽  
Vol 4 (1-2) ◽  
Author(s):  
Jelica Davidović ◽  
Dalibor Pešić ◽  
Boris Antić
Keyword(s):  
Traffic Safety ◽  
Detection System ◽  
Influencing Factor ◽  
Survey Method ◽  
Commercial Vehicles ◽  
The Road ◽  
Weakest Link ◽  
The Face ◽  
Fatigue Detection ◽  
The Impact

For decades, around the world is developing a fatigue detection system to alert drivers when they reach the state of fatigue that threatens them in traffic. Most of the research on the impact of fatigue on drivers based on driving simulators mainly because it is a controlled environment, cheap and safe approach. Since the nineties of the last century, many surveys were conducted in which the survey method was applied, while examining the subjective attitudes of drivers about the impact of fatigue on traffic safety. The beginning of the 21st century is characterized by the development of a fatigue detection system based on modern technologies, and a number of experiments were conducted. However, it not yet in use tools that can be easily detected drivers fatigue, in order to respond quickly and prevent them from operating the vehicle in such condition.The aim of this paper is to demonstrate the importance and implementation of a new fatigue identification model for commercial vehicle drivers in selected transport companies. Based on the results of this research, it is possible to determine which company is the safest from the aspect of fatigue, which is least safe. Also, the analysis of the results can determine which influencing factor is “the weakest link” among the drivers in the transport company, or where to direct measures in order to improve the road safety of the company, and therefore the local community.The study included five transport companies in Serbia, three of which are engaged in the carriage of passengers, and two transport goods. The survey used the survey method, the face face model, and 265 drivers of commercial vehicles participated, 16.6% of whom were found fatigued before the start of the shift.

scholarly journals Analysis of Pedestrian Crossing Speed and Waiting Time at Intersections in Dhaka

2019 ◽  
Vol 4 (3) ◽  
pp. 39 ◽  
Author(s):  
Zafri ◽  
Rony ◽  
Adri
Keyword(s):  
Waiting Time ◽  
Traffic Safety ◽  
Critical Parameters ◽  
Survey Method ◽  
The Road ◽  
Related Data ◽  
Two Parameters ◽  
Pedestrian Crossing ◽  
Control Direction ◽  
Intersection Control

Pedestrian crossing speed and waiting time are critical parameters for designing traffic signals and ensuring pedestrian safety. This study aimed to carry out microscopic level research on pedestrian crossing speed and waiting time at intersections in Dhaka. To fulfill this aim, crossing-related data of 560 pedestrians were collected from three intersections in Dhaka using a videography survey method. Descriptive and statistical analyses were carried out, and then two multiple linear regression (MLR) models were developed for these two parameters by using the collected data. From the results, 1.15 m/s was found to be the design pedestrian crossing speed. Results also show that the crossing speed of pedestrians was associated with intersection control type, gender, age, crossing type, crossing group size, compliance behavior with control direction, and crossing location. In case of waiting time, findings show that pedestrians did not want to wait more than 20–30 s to cross the road. Furthermore, the waiting time of the pedestrians varied with intersection control type, gender, age, minimum gap, waiting location, and vehicle flow. Findings of this study will help to alleviate traffic safety problems by designing an effective intersection control system.

AHP to Appraise the Traffic Safety of the Express Way

2011 ◽  
Vol 48-49 ◽  
pp. 157-163
Author(s):  
Dan Yu ◽  
Yi Hu Wu ◽  
Zhi Xiang Hou ◽  
Wen Jun Liu ◽  
Ji Guang Zhang
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Evaluation Index System ◽  
The Road ◽  
Comprehensive Evaluation Model ◽  
The Impact ◽  
Fuzzy Interval

The internal structure of the road safety system is extremely complex and it is affected by a lot of factors, each factor weights can not be fully established. In this article, we expressed the attribute value with a fuzzy interval number, the comprehensive appraise to the impact of traffic safety with emphasis on "people", "car" "road" in the "road". First of all, establishing evaluation index system, and form the judging matrix by AHP; then, it can be acquired a method of traffic safety evaluation by using the comprehensive evaluation model of the fuzzy interval.

scholarly journals Selected Aspects of the Road Traffic Safety Management System

2021 ◽  
Vol 23 (2) ◽  
pp. F33-F42
Author(s):  
Monika Stoma ◽  
Jacek Caban ◽  
Agnieszka Dudziak ◽  
Andrzej Kuranc
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Management System ◽  
Safety Management ◽  
Road Traffic ◽  
Management Systems ◽  
Safety Management System ◽  
The Road ◽  
Road Traffic Safety ◽  
The Impact

The article is an attempt to present the two modern concepts of safety management systems. The first is the sunflower pyramid used especially in Europe, the second is the ISO 39001 standard (Road Safety Management System) of international scope. The idea and possibilities offered by use of both concepts of safety management, as well as an attempt to assess the impact of their actions on decrease in fatalities in selected EU countries, were presented. As a result of the conducted analyses, a downward trend was noted as to the number of certificates issued for compliance with the ISO 39001 standard in the world, which may indicate an appearance of the more adequate management systems, or other tools or concepts to improve the road safety, or inadequate education society and low level of awareness in this area of stakeholders, including politicians, scientists, producers, drivers (professional and reliable), as well as other road users, including unprotected ones.

scholarly journals Analysis of the advancements in real-life performance of highly automated vehicles' with regard to the road traffic safety

2018 ◽  
Vol 231 ◽  
pp. 05003 ◽  
Author(s):  
Arkadiusz Matysiak ◽  
Paula Razin
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Road Traffic ◽  
Real Life ◽  
Automated Vehicles ◽  
Automated Driving ◽  
The Road ◽  
Road Traffic Safety ◽  
On The Road ◽  
The Impact

The article presents the analysis of the performance of the vehicles equipped with automated driving systems (ADS) which were tested in real-life road conditions from 2015 to 2017 in the state of California. It aims at the effort to assess the impact on the road safety the continuous technological advancements in driving automation might have, based on of the first large-scale, real-life test deployments. Vehicle manufacturers and other stakeholders testing the highly automated vehicles in California are obliged to issue yearly reports which provide an insight on the test scale as well as the technology maturity. The so-called 'disengagement reports' highlight the range and number of control takeovers between the ADS and driver, which are made either based on driver's decision or information provided by the vehicle itself. The analysis of these reports allowed to investigate the development made in automated driving technology throughout the years of tests, as well as the direct or indirect influence of the external factors (e.g. various weather conditions) on the ADS performance. The results show that there is still a significant gap in reliability and safety between human drivers and highly automated vehicles which has been yet steadily decreasing due to technology advancements made while driving in the specific infrastructure and traffic conditions of California.

Effectiveness of ‘Pocket Mandarin’ for Online Learning among Mandarin as a Foreign Language Basic Learners

2021 ◽  
Vol 5 (3) ◽  
pp. 122-137
Author(s):  
Hie Ling Ting ◽  
◽  
Kum Yoke Soo ◽  
Lay Choo Siang ◽  
Sing Ee Ooi ◽  
...  
Keyword(s):  
Online Learning ◽  
Foreign Language ◽  
Online Teaching ◽  
Teaching And Learning ◽  
Learning System ◽  
Survey Method ◽  
Teaching Online ◽  
Mandarin Language ◽  
The Face ◽  
The Impact

In the face of difficulties of teaching and learning due to the impact of Covid-19, online lessons have become vital. This has also affected the teaching of Mandarin as a foreign language at universities. Since Mandarin is considered as a difficult language to learn especially to non-native learners, teaching online has posted an even greater challenge to Mandarin language instructors. This study thus examines the use of a combination of platforms and applications online, customised to create an online learning system called ‘Pocket Mandarin’ to facilitate online Mandarin learning at the beginner level. The purpose is primarily to enable learning to take place in a fun and interactive manner by means of online flashcards, pronunciation, games and quizzes placed in an LMS platform called Padlet. To better understand how ‘Pocket Mandarin’ can effectively facilitate online teaching and learning among EFL basic learners at the tertiary level, a survey method was applied and it consisted of 5 parts which are students’ motivation, students’ attitude, cognitive development, design and interface as well as expectations. The results show that ‘Pocket Mandarin’ was positively accepted by the students who found the lessons motivating, upbuilding, cognitively applicable, with exceptional design and interface and was better than their initial expectations. Thus, there is great potential for the ‘Pocket Mandarin’ to be widely used at a greater scale.

Criticalities and Advantages of the Use of Artificial Intelligence in Research

2022 ◽  
pp. 161-175
Author(s):  
Jessica Camargo Molano ◽  
Jacopo Cavalaglio Camargo Molano
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Public Schools ◽  
School System ◽  
Detection System ◽  
Rapid Development ◽  
Academic Research ◽  
The Face ◽  
The Impact ◽  
Machine Learning Models

In recent years, artficial intelligence, through the rapid development of machine learning and deep learning, has started to be used in different sectors, even in academic research. The objective of this study is a reflection on the possible errors that can occur when the analysis of human behavior and the development of academic research rely on artificial intelligence. To understand what errors artificial intelligence can make more easily, three cases have been analyzed: the use of the IMPACT system for the evaluation of school system in the District of Columbia Public Schools (DCPS) in Washington, the face detection system, and the “writing” of the first scientific text by artificial intelligence. In particular, this work takes into consideration the systematic errors due to the polarization of data with which the machine learning models are trained, the absence of feedback and the problem of minorities who cannot be represented through the use of big data.

scholarly journals Assessing the Impact of Road Traffic Reorganization on Air Quality: A Street Canyon Case Study

Atmosphere ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 695
Author(s):  
Marek Bogacki ◽  
Robert Oleniacz ◽  
Mateusz Rzeszutek ◽  
Paulina Bździuch ◽  
Adriana Szulecka ◽  
...  
Keyword(s):  
Air Quality ◽  
Road Traffic ◽  
Road Transport ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Maximum Speed ◽  
Commercial Vehicles ◽  
The Road ◽  
Management Changes ◽  
The Impact

One of the elements of strategy aimed at minimizing the impact of road transport on air quality is the introduction of its reorganization resulting in decreased pollutant emissions to the air. The aim of the study was to determine the optimal strategy of corrective actions in terms of the air pollutant emissions from road transport. The study presents the assessment results of the emission reduction degree of selected pollutants (PM10, PM2.5, and NOx) as well as the impact evaluation of this reduction on their concentrations in the air for adopted scenarios of the road management changes for one of the street canyons in Krakow (Southern Poland). Three scenarios under consideration of the city authorities were assessed: narrowing the cross-section of the street by eliminating one lane in both directions, limiting the maximum speed from 70 km/h to 50 km/h, and allowing only passenger and light commercial vehicles on the streets that meet the Euro 4 standard or higher. The best effects were obtained for the variant assuming banning of vehicles failing to meet the specified Euro standard. It would result in a decrease of the yearly averaged PM10 and PM2.5 concentrations by about 8–9% and for NOx by almost 30%.

scholarly journals Analysis of Incentives to Eco-Driving for Car Rental Companies’ Customers

2020 ◽  
Vol 12 (24) ◽  
pp. 10579
Author(s):  
Michał Adamczak ◽  
Adrianna Toboła ◽  
Jadwiga Fijałkowska ◽  
Piotr Cyplik ◽  
Maciej Tórz
Keyword(s):  
Road Traffic ◽  
Negative Impact ◽  
Survey Method ◽  
Short Term ◽  
The Road ◽  
Car Rental ◽  
Car Wash ◽  
Research Gap ◽  
On The Road ◽  
The Impact

The problem of road traffic is one of the key challenges that cities will have to deal with in the future. It is also a problem directly related to the concept of sustainable development. Reducing the negative impact of road traffic in future cities can be achieved through cooperation in the following areas: social—shaping customer behavior and habits, economic—changing attitudes towards owning a car, and environmental—aimed at reducing the vehicle’s impact on the natural environment. A literature review was used to identify the research gap concerning the impact of the incentive system on increasing the environmental performance of drivers under short-term rental. Referring to the research gap, the main goal of the article is to identify the attractiveness of eco-driving incentives for drivers under short-term rental. The study used the survey method. The study was based on 323 completed questionnaires (female—122 and male—201). The following methods were also used in the analysis of the results: Anderson–Darling, Mood’s Median test and Kruskal Wallis multiple pairwise comparisons. The evaluation of the attractiveness of the incentive to eco-driving depends on the characteristic of the client who rents the car. Thus, it is possible to shape incentive systems for car rental customers that can shape their positive behavior on the road. Among the most attractive incentives for eco-driving in a rented car are: the possibility of upgrading a car in the next rental, discount for future rental and free car-wash.

scholarly journals Modelling road traffic safety indices by means of regression with panel data

2020 ◽  
Vol 12 (4) ◽  
pp. 40-51
Author(s):  
Katarzyna Brzozowska-Rup ◽  
Marzena Nowakowska
Keyword(s):  
Panel Data ◽  
Traffic Safety ◽  
Road Traffic ◽  
Government Expenditure ◽  
Road Accident ◽  
Road Accidents ◽  
The Road ◽  
Road Traffic Safety ◽  
Safety Indices ◽  
The Impact

Abstract Although the occurrence of road accidents and the number of road accident casualties in almost all Polish voivodeships has decreased over the last few years, the rate of this change varies considerably from region to region. To provide a better understanding of such a tendency, panel data regression models are proposed to conduct this pilot research which evaluates the relative performance of Polish regions in terms of their road traffic safety. Panel data are multi-dimensional data which involve measurements over time. In the research, a voivodeship is a unit analysed at a group level, whereas a year is a unit analysed at a time level. A two-way error component regression model has been applied to survey the impact of regressors, the group effects, and time effects on a dependent variable. The analysis has been conducted using data acquired from the Statistics Poland Local Data Bank website, as well as from the General Directorate for National Roads and Motorways. The panel data from 16 regions in Poland and the 2012–2018 period have been investigated. The examined models refer to road traffic safety indices defined based on the following characteristics: the number of road accidents, the number road fatalities, and the number of people injured. The results of all the three models indicate a negative effect as regards the GDP per capita, (car) motorisation rate, the indicator of government expenditure for current maintenance of national roads, and the road length per capita. A positive association has been found between the truck motorisation rate and the indicator of local government expenditure on roads. The impact of the region's urbanisation indicators on road safety is ambiguous as, on the one hand, its increase causes a reduction in the road accident and accident injury indices, but, on the other hand, it produces a rise in the accident fatality index. In the models, the significance of time effects has been identified; a decreasing time trend suggests a general improvement in road safety from year to year. Most of the group effects have turned out to be highly significant. However, the effects differ as regards both the road accident and the accident injury indices in magnitude and direction.

scholarly journals Road Traffic Safety Analysis Of Different Junction Types On The State Roads

2021 ◽  
Vol 1202 (1) ◽  
pp. 012034
Author(s):  
Valentina Amare ◽  
Juris Smirnovs
Keyword(s):  
Traffic Safety ◽  
Road Network ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Accidents ◽  
The Road ◽  
Road Traffic Safety ◽  
Road Capacity ◽  
On The Road ◽  
The Impact

Abstract The highest number of road accidents occurs at junctions. One of the aims of traffic organisation is to improve traffic safety in these areas. Based on a variety of indices – road capacity, points of conflict, number, and severity of road traffic accidents – different alternatives for junctions are evaluated. However, the road network has many junctions and roads serve to travel from point "A" to point "B" at a given time. Therefore, one of the most important tasks when addressing the issue of road safety is to find a rational way of improving the safety without losing the importance of the road. The aim of this paper is to analyse the impact of different junctions on the road network and basing on actual data develop a method for the evaluation of different types of junctions with respect to road class.

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