scholarly journals Road Markings and Their Impact on Driver Behaviour and Road Safety: A Systematic Review of Current Findings

2020 ◽  
Vol 2020 ◽  
pp. 1-19 ◽  
Author(s):  
Dario Babić ◽  
Mario Fiolić ◽  
Darko Babić ◽  
Timothy Gates
Keyword(s):  
Systematic Review ◽  
Traffic Control ◽  
Road Safety ◽  
Low Cost ◽  
Common Element ◽  
Driver Behaviour ◽  
Control Plan ◽  
Road Users ◽  
Academic Activities ◽  
The Impact

As part of the traffic control plan, road markings form the traffic surface and provide visual guidance for road users. Since their first application to the present day, road markings have become a common element of road infrastructure and one of the basic low-cost safety measures. The aim of this paper is to provide a systematic review of the most significant academic activities to date regarding the influence of longitudinal and transverse road markings as well as road markings for hazard locations (curves, intersections, and rural-urban transitions) on driver’s behaviour and overall road safety. The review includes a total of 71 studies from which are 52 peer-reviewed journal studies, 4 conference proceedings, and 15 professional reports. The studies are, based on their aim, divided into two categories: (1) studies on the impact of road markings on driver behaviour (36 studies) and (2) studies on the impact of road markings on road safety (35 studies).

scholarly journals The impact of road advertising signs on driver behaviour and implications for road safety: A critical systematic review

2019 ◽  
Vol 122 ◽  
pp. 85-98 ◽  
Author(s):  
Oscar Oviedo-Trespalacios ◽  
Verity Truelove ◽  
Barry Watson ◽  
Jane A. Hinton
Keyword(s):  
Systematic Review ◽  
Road Safety ◽  
Driver Behaviour ◽  
The Impact

scholarly journals An IoT Architecture for Assessing Road Safety in Smart Cities

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Abd-Elhamid M. Taha
Keyword(s):  
Road Safety ◽  
Markov Models ◽  
Smart Cities ◽  
Dynamic Assessment ◽  
Route Planning ◽  
Cost Effective ◽  
World Health ◽  
Road Users ◽  
Health Organization ◽  
The Impact

The Safe System (SS) approach to road safety emphasizes safety-by-design through ensuring safe vehicles, road networks, and road users. With a strong motivation from the World Health Organization (WHO), this approach is increasingly adopted worldwide. Considerations in SS, however, are made for the medium-to-long term. Our interest in this work is to complement the approach with a short-to-medium term dynamic assessment of road safety. Toward this end, we introduce a novel, cost-effective Internet of Things (IoT) architecture that facilitates the realization of a robust and dynamic computational core in assessing the safety of a road network and its elements. In doing so, we introduce a new, meaningful, and scalable metric for assessing road safety. We also showcase the use of machine learning in the design of the metric computation core through a novel application of Hidden Markov Models (HMMs). Finally, the impact of the proposed architecture is demonstrated through an application to safety-based route planning.

scholarly journals AN EVALUATION OF AIRPORT WAYFINDING AND SIGNAGE ON SENIOR DRIVER BEHAVIOUR AND SAFETY OF AIRPORT ROAD ACCESS DESIGN

2017 ◽  
Vol 8 (1) ◽  
pp. 108-129
Author(s):  
Nur Khairiel Anuar ◽  
Romano Pagliari ◽  
Richard Moxon
Keyword(s):  
Road Safety ◽  
Driving Simulator ◽  
Age Groups ◽  
Driver Behaviour ◽  
Driving Behaviour ◽  
Road Design ◽  
Driver Performance ◽  
Study Participants ◽  
The Impact ◽  
Car Driving

The purpose of this study was to investigate the impact of different wayfinding provision on senior driving behaviour and road safety. A car driving simulator was used to model scenarios of differing wayfinding complexity and road design. Three scenario types were designed consisting of 3.8 miles of airport road. Wayfinding complexity varied due to differing levels of road-side furniture. Experienced car drivers were asked to drive simulated routes. Forty drivers in the age ranges: 50 to 54, 55 to 59 and those aged over 60 were selected to perform the study. Participants drove for approximately 20 minutes to complete the simulated driving. The driver performance was compared between age groups. Results were analysed by Mean, Standard Deviation and ANOVA Test, and discussed with reference to the use of the driving simulator. The ANOVA confirmed that age group has a correlation between road design complexity, driving behaviour and driving errors.

scholarly journals Pedestrian Mortality Trends In Children Over Four Decades In Transitional Lithuania

2016 ◽  
Vol 26 (5) ◽  
pp. 13-19
Author(s):  
Birutė Strukčinskienė ◽  
Robert Bauer ◽  
Sigitas Griškonis ◽  
Vaiva Strukčinskaitė
Keyword(s):  
Time Series ◽  
Young People ◽  
Road Safety ◽  
Road Traffic ◽  
Age Groups ◽  
Age Group ◽  
Prevention Measures ◽  
Mortality Trends ◽  
Road Users ◽  
The Impact

The aim of the study was to examine the long-term trends in pedestrian mortality for children (aged 0 to 14 years) and young people (aged 15 to 19 years) over four decades in transitional Lithuania. Methods. Road traffic fatality data were obtained from Statistics Lithuania and the Archives of Health Information Centre. Trends were analysed by linear regression using “Independence” as a slopechanging intervention in 1991 and population as a further explanatory factor in structural time series models. Results. The impact of the interventions, along with the reforms and changes related with the Independence, on pedestrian fatality trends in our time series model was found highly statistically significant for children 0 to 14 years (p<0.001) and still significant for young people 15 to 19 years (p<0.05). No significant impact on the trend of road traffic deaths was found for the “control-groups” of non-pedestrian road users in the age group 0 to 14 years and adult pedestrians (over 19 years of age). For the age group 15 to 19 years the effect of reforms was also significant for non-pedestrians (p<0.05). These results indicate that the effect of measures and changes used in the post-independence period was more specific in children that participated in road traffic as pedestrians than in adult pedestrians, or in nonpedestrian road users. Conclusions. Pedestrian deaths in Lithuania fell significantly in the age groups 0-14 and 15-19 years. A declining trend was found in road traffic fatalities and in pedestrian deaths in transitional Lithuania in the post-independence period. Socioeconomic and political transformations, systematic reforms in healthcare along with sustainable preventive measures may have contributed to this decrease. Targeted road safety measures were road traffic regulations, pedestrian education and environmentally based prevention measures. As child pedestrians are the most vulnerable group of road users, continued road safety education and promotion are recommended in order to maintain this trend, and to involve adult pedestrians in this development.

scholarly journals A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2282 ◽  
Author(s):  
Sarra Smaiah ◽  
Rabah Sadoun ◽  
Abdelhafid Elouardi ◽  
Bruno Larnaudie ◽  
Samir Bouaziz ◽  
...  
Keyword(s):  
Road Safety ◽  
Low Cost ◽  
Safety Data ◽  
Loss Of Control ◽  
Initial Training ◽  
Road Users ◽  
Sensor Platform ◽  
Single Vehicle ◽  
Vulnerable Road Users ◽  
The Way

Motorcycle drivers are considered among the most vulnerable road users, as attested by the number of crashes increasing every year. The significant part of the fatalities relates to “single vehicle” loss of control in bends. During this investigation, a system based on an instrumented multi-sensor platform and an algorithmic study was developed to accurately reconstruct motorcycle trajectories achieved when negotiating bends. This system is used by the French Gendarmerie in order to objectively evaluate and to examine the way riders take their bends in order to better train riders to adopt a safe trajectory and to improve road safety. Data required for the reconstruction are acquired using a motorcycle that has been fully instrumented (in VIROLO++ Project) with several redundant sensors (reference sensors and low-cost sensors) which measure the rider actions (roll, steering) and the motorcycle behavior (position, velocity, acceleration, odometry, heading, and attitude). The proposed solution allowed the reconstruction of motorcycle trajectories in bends with a high accuracy (equal to that of fixed point positioning). The developed algorithm will be used by the French Gendarmerie in order to objectively evaluate and examine the way riders negotiate bends. It will also be used for initial training and retraining in order to better train riders to learn and estimate a safe trajectory and to increase the safety, efficiency and comfort of motorcycle riders.

Development of Road Safety Sustainability Model for Malaysian Road

2014 ◽  
Vol 606 ◽  
pp. 235-239 ◽  
Author(s):  
Matthew Oluwole Arowolo ◽  
J.M. Rohani ◽  
Mat Rebi Abdul Rani
Keyword(s):  
Human Factors ◽  
Road Safety ◽  
Secondary Data ◽  
Policy Decision ◽  
Road Accidents ◽  
The Road ◽  
Road Users ◽  
Major Factors ◽  
The Impact ◽  
Sustainability Model

Road accidents are a major problem in both developed and developing countries, although related to different historical reasons and circumstances. The clear, common feature is the impact caused by three major factors: use of the automobile, road infrastructure and the road users (human factor), this has generated interest from researchers and academia. Most research has been limited in scope, while some researchers used secondary data, some use official reports, experimental investigation through system approach. The inability to recognize the complexity of factors that affect this issue may explain why we have conflicting results obtained by different researchers. The purpose of this paper was to develop a sustainable road safety model that is based on concurrent research, including: Human factors, Vehicle factors and Road factors. A sustainable approach was taken in evaluating relationships among the various factors and indicators thereby proposing a model that can serve as a tool for benchmarking and policy decision. Keywords: Road Safety; performance; Indicators; Human Factors; Sustainability

scholarly journals Effectiveness of eHealth Interventions for HIV Prevention and Management in Sub-Saharan Africa: Systematic Review and Meta-analyses

2021 ◽  
Author(s):  
Louisa Manby ◽  
Catherine Aicken ◽  
Marine Delgrange ◽  
Julia V. Bailey
Keyword(s):  
Systematic Review ◽  
Hiv Prevention ◽  
Low Cost ◽  
Sub Saharan Africa ◽  
Hiv Management ◽  
Sub Saharan ◽  
Randomised Controlled ◽  
Meta Analyses ◽  
The Impact ◽  
Biological Outcomes

AbstractHIV is still the leading cause of death in Sub-Saharan Africa (SSA), despite medical advances. eHealth interventions are effective for HIV prevention and management, but it is unclear whether this can be generalised to resource-poor settings. This systematic review aimed to establish the effectiveness of eHealth interventions in SSA. Six electronic databases were screened to identify randomised controlled trials (RCTs) published between 2000 and 2020. Meta-analyses were performed, following Cochrane methodology, to assess the impact of eHealth interventions on HIV-related behaviours and biological outcomes. 25 RCTs were included in the review. Meta-analyses show that eHealth interventions significantly improved HIV management behaviours (OR 1.21; 95% CI 1.05–1.40; Z = 2.67; p = 0.008), but not HIV prevention behaviours (OR 1.02; 95% CI 0.78–1.34; Z = 0.17; p = 0.86) or biological outcomes (OR 1.17; 95% CI 0.89–1.54; Z = 1.10; p = 0.27) compared with minimal intervention control groups. It is a hugely important finding that eHealth interventions can improve HIV management behaviours as this is a low-cost way of improving HIV outcomes and reducing the spread of HIV in SSA. PROSPERO registration number: CRD42020186025.

scholarly journals Covid-19 Infection, Illness and Deaths Among Healthcare Workers in Low- and Middle-Income Countries: A Systematic Review Protocol

2021 ◽  
Author(s):  
Moses Ocan ◽  
Brenda Allen Kawala ◽  
Ephraim Kisangala ◽  
Regina Ndagire ◽  
Rachel Nante Wangi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Healthcare Workers ◽  
Low Cost ◽  
Evidence Synthesis ◽  
Cochrane Library ◽  
Middle Income ◽  
Middle Income Countries ◽  
Mesh Terms ◽  
The Impact ◽  
Low And Middle Income

Abstract Background: Globally, health care workers continue to be infected, fall ill and die at the frontline of the Coronavirus disease 2019 (COVID-19) fight, an indicator of inadequate safety in health facilities. This rapid evidence synthesis aims to highlight the impacts of COVID-19 on healthcare workers in low-and middle-income countries (LMICs) in terms of infections, illnesses and deaths. Methods: A systematic review will be done. Article search will be performed by an experienced librarian in PubMed, MEDLINE Ovid, Google Scholar, COVID-END, Cochrane library and targeted search from other relevant sources. MeSH terms and Boolean operators “AND” and “OR” will be used in the article search. Independent reviewers will screen the retrieved articles using a priori criteria. Data abstraction will be done using an excel based abstraction tool and synthesized using structured narratives and summary of findings tables. Discussion and anticipated use of results: This evidence synthesis seeks to analyze the impact of COVID-19 on the healthcare systems of low- and middle-income countries. Information on healthcare worker infections, illness, and deaths due to COVID-19, will be collated from published research articles. This will help guide decision makers in establishing low- cost high impact interventions to mitigate the effects of COVID-19 in the health work force.Protocol registration: PROSPERO CRD 42020204174

scholarly journals Speech- and Language-Based Classification of Alzheimer’s Disease: A Systematic Review

2022 ◽  
Vol 9 (1) ◽  
pp. 27
Author(s):  
Inês Vigo ◽  
Luis Coelho ◽  
Sara Reis
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Best Practices ◽  
Early Stage ◽  
Low Cost ◽  
Clinical Stage ◽  
Invasive Procedure ◽  
The Impact

Background: Alzheimer’s disease (AD) has paramount importance due to its rising prevalence, the impact on the patient and society, and the related healthcare costs. However, current diagnostic techniques are not designed for frequent mass screening, delaying therapeutic intervention and worsening prognoses. To be able to detect AD at an early stage, ideally at a pre-clinical stage, speech analysis emerges as a simple low-cost non-invasive procedure. Objectives: In this work it is our objective to do a systematic review about speech-based detection and classification of Alzheimer’s Disease with the purpose of identifying the most effective algorithms and best practices. Methods: A systematic literature search was performed from Jan 2015 up to May 2020 using ScienceDirect, PubMed and DBLP. Articles were screened by title, abstract and full text as needed. A manual complementary search among the references of the included papers was also performed. Inclusion criteria and search strategies were defined a priori. Results: We were able: to identify the main resources that can support the development of decision support systems for AD, to list speech features that are correlated with the linguistic and acoustic footprint of the disease, to recognize the data models that can provide robust results and to observe the performance indicators that were reported. Discussion: A computational system with the adequate elements combination, based on the identified best-practices, can point to a whole new diagnostic approach, leading to better insights about AD symptoms and its disease patterns, creating conditions to promote a longer life span as well as an improvement in patient quality of life. The clinically relevant results that were identified can be used to establish a reference system and help to define research guidelines for future developments.

scholarly journals Jamming/Garbling assessment and possible mitigations in the OpenSky network

10.29007/fn6z ◽  
2019 ◽  
Author(s):  
Mauro Leonardi ◽  
Martin Strohmeier ◽  
Vincent Lenders
Keyword(s):  
Radio Frequency ◽  
Real World ◽  
Traffic Control ◽  
Surveillance System ◽  
Air Traffic Control ◽  
Low Cost ◽  
Frequency Channel ◽  
Mitigation Techniques ◽  
The Impact ◽  
Different Sources

The Automatic Dependent Surveillance-Broadcast (ADS-B) technology is one of the pillars of the future surveillance system for air traffic control. However, its many fundamental vulnerabilities are well known and an active area of research. This paper examines two closely related ADS-B radio frequency channel issues, jamming and garbling.Both jamming and garbling produce the same physical effect: the reception of mixed signals, coming from different sources (usually not co-located). In this paper, we assess the impact of these reception problems and examine three separate mitigation techniques. Through the use of theoretical evaluations, simulations and real-world analysis based on data collected by the OpenSky Network, we compare their effectiveness and establish a first baseline for their use in modern low-cost, crowdsourced ADS-B networks.

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