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Journal articles on the topic 'Driver information support'

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1

Chang, Cheng, Gen Ohbayashi, Toru Yamaguchi, and Eri Sato-Shimokawara. "Information Presentation Support of Car Robotics Simulator System Based on Humatronics." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 3 (2011): 389–95. http://dx.doi.org/10.20965/jaciii.2011.p0389.

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Most traffic accidents are caused by drivers’ carelessness and lack of information about the surrounding objects. In this paper, authors develop information presentation support system of a car robotics system based on humatronics. The main purpose of humatronics is to establish the symmetric interaction between human and electronics system by giving the system the capability of understanding human. Car robotics system based on humatronics is used in this research. Car robotics system is developed on human centered city. In this city, systems judge the situation and autonomously support human.
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Cauffman, Stephen J., Yulin Deng, Yunmei Liu, Christopher Cunningham, David Kaber, and Jing Feng. "Driver Logo Sign Detection and Hazard Responses during Partially Automated Driving." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 1960–64. http://dx.doi.org/10.1177/1071181320641472.

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This study investigates the presentation of service logo information under partially automated driving. Drivers completed simulated drives with partial automation during which they had to detect target logo signs and react to hazards by taking over vehicle control when needed. Driver performance was measured in terms of sign detection rate, crash rate, and hazard response time. A number of factors, including sign information source, sign information load, and driver age group, were investigated. In general, our findings support the delivery of service logo information via in-vehicle display un
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Hill, Melinda J., Nancy W. Hudson, Brenda M. Lantz, and Gene C. Griffin. "Commercial Vehicle Driver Family Issues Assessment." Transportation Research Record: Journal of the Transportation Research Board 1640, no. 1 (1998): 74–83. http://dx.doi.org/10.3141/1640-10.

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The dissatisfaction of truck drivers associated with issues related to the family is examined. This dissatisfaction is seen as a major reason for high turnover rates in the trucking industry. The nature of commercial vehicle driver work and family environments is more clearly defined through mail survey questions asked of both the driver and their spouse/partner. Specific questions in the survey address work concerns, family concerns, decision making, informational needs, communication, and leisure time. Methods to apply this information to programs of intervention and support useful to commer
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Laberge, Jason, Nicholas Ward, Michael Rakauskas, and Janet Creaser. "A Comparison of Work Domain and Task Analysis for Identifying Information Requirements: A Case Study of Rural Intersection Decision Support Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 4 (2007): 298–302. http://dx.doi.org/10.1177/154193120705100432.

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Minnesota drivers are over-represented in accidents at rural intersections and many crashes are attributable to drivers accepting unsafe gaps. In this context, intersection decision support (IDS) systems are promising technologies for supporting driver decision-making. A significant activity during IDS development is to determine the information requirements to display to drivers. To be effective, an IDS system must present information that helps drivers successfully negotiate intersections. This paper compares two methods for identifying information requirements: work domain analysis (WDA) an
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Riener, Andreas, Pierre Chalfoun, and Claude Frasson. "The Potential of Subliminal Information Displays to Change Driver Behavior." Presence: Teleoperators and Virtual Environments 23, no. 1 (2014): 51–70. http://dx.doi.org/10.1162/pres_a_00170.

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In the long history of subliminal messages and perception, many contradictory results have been presented. One group of researchers suggests that subliminal interaction techniques improve human–computer interaction by reducing sensory workload, whereas others have found that subliminal perception does not work. In this paper, we want to challenge this prejudice by first defining a terminology and introducing a theoretical taxonomy of mental processing states, then reviewing and discussing the potential of subliminal approaches for different sensory channels, and finally recapitulating the find
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Hashimoto, Kohjiro, Tetsuyasu Yamada, Takeshi Tsuchiya, Kae Doki, Yuki Funabora, and Shinji Doki. "Detection of contributing object to driving operations based on hidden Markov model." International Journal of Advanced Robotic Systems 16, no. 5 (2019): 172988141987679. http://dx.doi.org/10.1177/1729881419876794.

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With increase in the number of elderly people in the Japanese society, traffic accidents caused by elderly driver is considered problematic. The primary factor of the traffic accidents is a reduction in their driving cognitive performance. Therefore, a system that supports the cognitive performance of drivers can greatly contribute in preventing accidents. Recently, the development of devices for visually providing information, such as smart glasses or head up display, is in progress. These devices can provide more effective supporting information for cognitive performance. In this article, we
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Taramov, A. A., and N. G. Shilov. "Recommender Systems for Driver Information Support: State-of-the-Art Review." Proceedings of Tomsk State University of Control Systems and Radioelectronics 21, no. 2 (2018): 68–74. http://dx.doi.org/10.21293/1818-0442-2018-21-2-68-74.

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FitzGerald, Clare. "Getting Past “Purposeful”: Exploring Dimensionality in Nonprofit Executive Performance Information Use." Journal of Public and Nonprofit Affairs 6, no. 3 (2020): 281–302. http://dx.doi.org/10.20899/jpna.6.3.281-302.

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Although performance information use (PIU) among public managers is a growing and increasingly relevant research area, the existing evidence base has two significant limitations for those interested in its application to nonprofit executives. First, large survey investigations, the predominant method used to assess PIU behaviors, have rarely sampled outside of government. Second, despite theoretical arguments and empirical support for PIU being a multidimensional behavior, only ‘purposeful’ use (i.e., the deliberate and instrumental use of performance information in decision-making to improve
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KUBOTA, Shinichi, Ichiro KAGEYAMA, and Yukiyo KURIYAGAWA. "3216 Study on Indication Method of Driving Information as Driver Support System." Proceedings of the Transportation and Logistics Conference 2005.14 (2005): 259–62. http://dx.doi.org/10.1299/jsmetld.2005.14.259.

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Hollander, Cornelia, Nadine Rauh, Frederik Naujoks, Sebastian Hergeth, Josef F. Krems, and Andreas Keinath. "Methodological Approach towards Evaluating the Effects of Non-Driving Related Tasks during Partially Automated Driving." Information 11, no. 7 (2020): 340. http://dx.doi.org/10.3390/info11070340.

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Partially automated driving (PAD, Society of Automotive Engineers (SAE) level 2) features provide steering and brake/acceleration support, while the driver must constantly supervise the support feature and intervene if needed to maintain safety. PAD could potentially increase comfort, road safety, and traffic efficiency. As during manual driving, users might engage in non-driving related tasks (NDRTs). However, studies systematically examining NDRT execution during PAD are rare and most importantly, no established methodologies to systematically evaluate driver distraction during PAD currently
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Dinges, David F., Greg Maislin, Rebecca M. Brewster, Gerald P. Krueger, and Robert J. Carroll. "Pilot Test of Fatigue Management Technologies." Transportation Research Record: Journal of the Transportation Research Board 1922, no. 1 (2005): 175–82. http://dx.doi.org/10.1177/0361198105192200122.

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This study involved over-the-road testing of four fatigue management technologies (FMTs) in trucking operations in Canada and the United States. Technologies bundled into a single intervention came from four fatigue management domains: one providing objective information on driver sleep need, one providing objective information on driver drowsiness, one providing objective information on lane tracking performance, and one reducing the work involved in controlling vehicle stability while driving. The objective was to determine driver reactions to such technologies and whether FMT feedback would
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Paróczi, Zsombor, István Nagy, Csaba Gáspár-Papanek, et al. "Augmented Reality Aspects of Object Recognition in Driver Support Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 2 (2012): 284–96. http://dx.doi.org/10.20965/jaciii.2012.p0284.

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Augmented Reality (AR) is a technique that combines a live view in real-time with virtual computergenerated images, creating a real-time augmented experience of reality. In this paper we define connection between augmented reality and cognitive infocommunications and show a demonstration system for driver support which combines raw sensory with extracted visual data to provide extended information about the visual scene around the car. Traffic sign recognition system presented in this paper is an independent work of U1 Research and Top-Map Plc.
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Voces-Aboy, Jose, Inmaculada Abia-Llera, Eroteida Sánchez-García, et al. "Web-based decision support toolbox for Spanish reservoirs." Advances in Science and Research 16 (August 8, 2019): 157–63. http://dx.doi.org/10.5194/asr-16-157-2019.

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Abstract. Under the S-ClimWaRe (Seasonal Climate prediction in support of Water Reservoirs management) initiative, a climate service to support decision-making process by water managers in Spanish reservoirs has been developed. It consists in a web-based toolbox jointly designed with stakeholders. The website is organized in two main areas. The first one allows the user to explore, for any water reservoir or grid point over continental Spain, the existing hydrological variability and risk linked to climate variability. This is performed through a set of indicators obtained from time series of
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Tsai, Ming Fong, Sheng Wei Huang, Chui Ming Chiu, Li Da Sun, and Ce Kuen Shieh. "Cooperative Car Video Share and Search System." Applied Mechanics and Materials 764-765 (May 2015): 853–57. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.853.

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The car video can protect the driver by clarifying the liability in the event of an accident. More and more devices and functions have been on sale for drivers in recent years. They are focused on high quality images, wide angle support and night vision functions. However, those technologies cannot help to clarify the accident liability when the sight and angle are obscured by neighbouring cars or buildings. Hence, this paper proposes the Cooperative Car Video Share and Search (CCVSS) system. The car video will be uploaded frequently, including position, heading and timestamp information on ea
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Daraban, Marius Costin. "ACCOUNTING AS A 21ST CENTURY BUSINESS VALUE DRIVER." CBU International Conference Proceedings 5 (September 22, 2017): 99–105. http://dx.doi.org/10.12955/cbup.v5.909.

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Companies have focused for decades on maximizing the value creation process of direct productive business activities. The information revolution has left its mark and has started an irreversible transformation of classical business processes and activities. In the new 21st century information and data driven society, commodity is value and knowledge, making Porters value chain concept an important key factor for successful and innovative businesses. Business value creation was during the industrial revolution a topic strictly liked to direct productive activities. The increased and transformed
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Hurwitz, Joshua B., and David J. Wheatley. "Using Driver Performance Measures to Estimate Workload." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 22 (2002): 1804–8. http://dx.doi.org/10.1177/154193120204602206.

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This study evaluated the impact of the modality of distractor tasks and the difficulty of the driving task on driver control over a vehicle. Driving is a task with a close link between visual information processing and driver performance variables such as lane keeping. Consequently, compared to auditory distractors, visual distractors should have a larger negative effect on vehicle control, but mainly when the driving task also adds significant workload for the driver. In this study, drivers drove around either a curvy or a straight track while occasionally performing either an auditory or a v
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Qu, Liang Dong, Xin Yu Cui, and Xiao Nan Liu. "A Route Handoff Method Based on Virtual Private Network in Vehicle Information Network." Applied Mechanics and Materials 475-476 (December 2013): 699–702. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.699.

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Vehicle information system is the data center of vehicle communication networks, and the vehicle gateway is the core of the vehicle information system, in order to support the vehicle information system both WLAN and CDMA interfaces, a virtual network device (VND) in Linux embedded System is designed and implemented as a mid-layer module between the real device driver and internet protocol stack called driver middleware. The VND can establish a virtual private network between the vehicle information device and agent server. The virtual network interface is designed to catch the packets both in
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Widantari, Sekar Putranti, Nur Endah Wahyuningsih, and Nikie Astorina Yunita Dewanti. "DETERMINANT OF PERSONAL HYGIENE BEHAVIOR OF ONLINE MOTORBIKE TAXI DRIVERS IN COVID 19 PREVENTION IN SEMARANG CENTRAL JAVA." Jurnal Riset Kesehatan 10, no. 1 (2021): 19–26. http://dx.doi.org/10.31983/jrk.v10i1.6525.

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Online motorcycle taxi drivers are at risk of contracting COVID-19 because they have a high frequency of contact with other people and objects that have the possibility of SARS-CoV 2 on their surface. This study aims to determine the determinants of personal hygiene in online motorcycle taxi drivers in an effort to prevent COVID-19 in the city of Semarang, which is an analytical observational study using a cross-sectional approach. The sample in this study were 385 drivers who were in the online motorcycle taxi driver communities on Facebook and Twitter. The sampling technique uses a snowball,
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19

Granebring, Annika, and Péter Révay. "Service‐oriented architecture is a driver for daily decision support." Kybernetes 36, no. 5/6 (2007): 622–35. http://dx.doi.org/10.1108/03684920710749712.

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Antrobus, Vicki, David Large, Gary Burnett, and Chrisminder Hare. "Enhancing Environmental Engagement with Natural Language Interfaces for In-Vehicle Navigation Systems." Journal of Navigation 72, no. 3 (2019): 513–27. http://dx.doi.org/10.1017/s037346331800108x.

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Four on-road studies were conducted in the Clifton area of Nottingham, UK, aiming to explore the relationships between driver workload and environmental engagement associated with ‘active’ and ‘passive’ navigation systems. In a between-subjects design, a total of 61 experienced drivers completed two experimental drives comprising the same three routes (with overlapping sections), staged one week apart. Drivers were provided with the navigational support of a commercially-available navigation device (‘satnav’), an informed passenger (a stranger with expert route knowledge), a collaborative pass
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Irune, Ainojie Alexander. "Evaluating the Visual Demand of In-Vehicle Information Systems." International Journal of Mobile Human Computer Interaction 3, no. 1 (2011): 1–21. http://dx.doi.org/10.4018/jmhci.2011010101.

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In-vehicle information systems (IVIS) provide a variety of driver support and infotainment functionality; however, there is a growing concern that the resulting engagement with IVIS could present significant sources of distraction to drivers. This paper summarises the PhD thesis of Dr Ainojie Alexander Irune, which was awarded at the University of Nottingham in December 2009. The primary aims of the research were to develop a framework to aid the selection of an appropriate HF/HCI method, for use at particular stages in the design process, and to develop a novel method (with a focus on glance
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Lindemann, Patrick, Tae-Young Lee, and Gerhard Rigoll. "Catch My Drift: Elevating Situation Awareness for Highly Automated Driving with an Explanatory Windshield Display User Interface." Multimodal Technologies and Interaction 2, no. 4 (2018): 71. http://dx.doi.org/10.3390/mti2040071.

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Broad access to automated cars (ACs) that can reliably and unconditionally drive in all environments is still some years away. Urban areas pose a particular challenge to ACs, since even perfectly reliable systems may be forced to execute sudden reactive driving maneuvers in hard-to-predict hazardous situations. This may negatively surprise the driver, possibly causing discomfort, anxiety or loss of trust, which might be a risk for the acceptance of the technology in general. To counter this, we suggest an explanatory windshield display interface with augmented reality (AR) elements to support
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Efremov, S. B. "Type of communication between driver and car, based on the augmented reality: "new trend" in building intelligent transportation systems." Современная зарубежная психология 6, no. 1 (2017): 6–14. http://dx.doi.org/10.17759/jmfp.2017060101.

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In order to increase safety while driving and to minimize the burden on the driver, the information should be transmitted to him/her in such a way that the driver needn’t spent time on its recognition and comprehension. Projecting and visualization of information on the windshield can help simplify the dialogue between a car and a driver ("operator") and expand the influence of intellectual transport system using projection information about traffic jams in the field of perception of the driver, so that it does not interfere with the driver on the road. This article discusses the possible adva
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Schröter, Elisa, Ralph Kiefl, Eric Neidhardt, Gaby Gurczik, Carsten Dalaff, and Konstanze Lechner. "Trialing Innovative Technologies in Crisis Management—“Airborne and Terrestrial Situational Awareness” as Support Tool in Flood Response." Applied Sciences 10, no. 11 (2020): 3743. http://dx.doi.org/10.3390/app10113743.

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Flooding represents the most-occurring and deadliest threats worldwide among natural disasters. Consequently, new technologies are constantly developed to improve response capacities in crisis management. The remaining challenge for practitioner organizations is not only to identify the best solution to their individual demands, but also to test and evaluate its benefit in a realistic environment before the disaster strikes. To bridge the gap between theoretic potential and actual integration into practice, the EU-funded project DRIVER+ has designed a methodical and technical environment to as
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GÜR ALI, ÖZDEN. "DRIVER MODERATOR METHOD FOR RETAIL SALES PREDICTION." International Journal of Information Technology & Decision Making 12, no. 06 (2013): 1261–86. http://dx.doi.org/10.1142/s0219622013500363.

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We introduce a new method for stock keeping unit (SKU)-store level sales prediction in the presence of promotions to support order quantity and promotion planning decisions for retail managers. The method leverages the marketing literature to generate features, and data mining techniques to train a model that provides accurate sales predictions for existing and new SKUs, as well as consistent, actionable insights into category, store and promotion dynamics. The proposed "Driver Moderator" method uses basic SKU-store information and historical sales and promotion data to generate many features.
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Bylykbashi, Kevin, Ermioni Qafzezi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, and Leonard Barolli. "Performance Evaluation of an Integrated Fuzzy-Based Driving-Support System for Real-Time Risk Management in VANETs." Sensors 20, no. 22 (2020): 6537. http://dx.doi.org/10.3390/s20226537.

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The highly competitive and rapidly advancing autonomous vehicle race has been on for several years now, and it has made the driver-assistance systems a shadow of their former self. Nevertheless, automated vehicles have many obstacles on the way, and until we have them on the roads, promising solutions that can be achievable in the near future should be sought-after. Driving-support technologies have proven themselves to be effective in the battle against car crashes, and with Vehicular Ad hoc Networks (VANETs) supporting them, their efficiency is expected to rise steeply. In this work, we prop
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Charissis, Vassilis, Jannat Falah, Ramesh Lagoo, et al. "Employing Emerging Technologies to Develop and Evaluate In-Vehicle Intelligent Systems for Driver Support: Infotainment AR HUD Case Study." Applied Sciences 11, no. 4 (2021): 1397. http://dx.doi.org/10.3390/app11041397.

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The plurality of current infotainment devices within the in-vehicle space produces an unprecedented volume of incoming data that overwhelm the typical driver, leading to higher collision probability. This work presents an investigation to an alternative option which aims to manage the incoming information while offering an uncluttered and timely manner of presenting and interacting with the incoming data safely. The latter is achieved through the use of an augmented reality (AR) head-up display (HUD) system, which projects the information within the driver’s field of view. An uncluttered gestu
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Chen, Shang Liang, Hsuan Pei Wang, Yun Yao Chen, and Chiang Hsu. "Development of Software-as-a-Service Cloud Computing Architecture for Manufacturing Management Systems Based on Virtual COM Port Driver Technology." Applied Mechanics and Materials 479-480 (December 2013): 1023–26. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.1023.

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This study proposes an innovative technology of Virtual COM Port Driver applied to the SaaS cloud manufacturing system, so that user can only via a web browser to complete all operations of system. Flexibility of the system extensions, and support manufacturing enterprise use other communications equipment at work, for example RFID products, GPS receiver. Information integration, solve each computer to be fitted Middleware to read native components and retrieve information for the inconvenience. This study proposes five-layer model of cloud manufacturing system, and through the virtualization
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O’Doherty, Siobhain, Christine Linehan, Mimi Tatlow-Golden, et al. "Perspectives of family members of people with an intellectual disability to a major reconfiguration of living arrangements for people with intellectual disability in Ireland." Journal of Intellectual Disabilities 20, no. 2 (2016): 137–51. http://dx.doi.org/10.1177/1744629516636538.

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Aim: To document the views of family members of people with an intellectual disability regarding implementation of a personalized model of social support in Ireland. Method: Forty family members participated in six focus groups. Data were thematically analysed. Results: Family members’ preference for particular types of living arrangements were highly reflective of their lived experience. Facilitators to community living included timely information on proposed moves, adequate staffing, suitable properties and locations and consideration of the characteristics of individuals who share a propert
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Welsh, Ruth Helen, Andrew Morris, and Satu Innamaa. "Methodological Aspects of Field Operational Tests of After-Market and Nomadic Driver Support Systems and Impacts on Mobility." Open Transportation Journal 11, no. 1 (2017): 90–101. http://dx.doi.org/10.2174/1874447801711010090.

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Background: This paper reports on the methodology undertaken and some results achieved within a study of drivers using aftermarket and nomadic devices (the TeleFOT project). Objective: To evaluate the methodology for conducting Field Operational Tests for Information and Communication Technology whilst also providing an example of the method applied in the context of mobility within the TeleFOT project. Methods: A ‘Top down, bottom up’ approach to the derivation of research questions and hypotheses is described. Statistical analysis has been undertaken on data collected through Field Operation
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Lee, Boon-Giin, and Wan-Young Chung. "MULTI-CLASSIFIER FOR HIGHLY RELIABLE DRIVER DROWSINESS DETECTION IN ANDROID PLATFORM." Biomedical Engineering: Applications, Basis and Communications 24, no. 02 (2012): 147–54. http://dx.doi.org/10.4015/s1016237212500159.

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For the past decade, it is well defined in the literature that fatigue is one of the most prospective factor in affecting the driver behavior. This paper presents a novel evaluation of driver fatigue condition based on multi-classifier technique and fusion of attributes approach. The process involved fusion of attributes including image of eye movement and photoplethysmography (PPG) signals that are given as inputs to multi-classifier. In order to develop the best inference classifiers, artificial neural network (ANN), dynamic bayesian network (DBN), support vector machine (SVM), independent c
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Kulagin, M. A., and V. G. Sidorenko. "Decision support for preventing safety violations." Dependability 21, no. 4 (2021): 38–46. http://dx.doi.org/10.21683/1729-2646-2021-21-4-38-46.

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Aim. The aim of the paper is to examine the experience of reducing the effect of the human factor on business processes, to develop the structure and software of the decisionsupport system for preventing safety violations by train drivers using machine learning and to analyse the findings. Methods. The study presented in the paper uses machine learning, statistical analysis and expert analysis. In terms of machine learning, the following methods were used: logistical regression, random forests, gradient boosting over decision trees with frequency-domain representation of categorical features,
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Johansson, Victoria, Anna Sigridur Islind, Tomas Lindroth, Eva Angenete, and Martin Gellerstedt. "Online Communities as a Driver for Patient Empowerment: Systematic Review." Journal of Medical Internet Research 23, no. 2 (2021): e19910. http://dx.doi.org/10.2196/19910.

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Background The use of online resources has changed how people manage health care processes. Patients seek information about health conditions, guidance in treatment, and support from peers online, complementary to traditional health care trajectories. Online communities have the potential to contribute to the quality of care by increasing patient empowerment; however, there is a gap in research regarding in what way online communities contribute to patient empowerment. Objective We synthesized research regarding how online communities contribute to patient empowerment to address the research q
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Manser, Michael P., Nicholas J. Ward, Nobuyuki Kuge, and Erwin R. Boer. "Influence of a Driver Support System on Situation Awareness and Information Processing in Response to Lead Vehicle Braking." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 48, no. 19 (2004): 2359–63. http://dx.doi.org/10.1177/154193120404801933.

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Richardson, Joy, Kirsten M. A. Revell, Jisun Kim, and Neville A. Stanton. "The iconography of vehicle automation—a focus group study." Human-Intelligent Systems Integration 3, no. 3 (2021): 251–61. http://dx.doi.org/10.1007/s42454-021-00034-2.

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AbstractSAE level 2 and 3 semi-autonomous vehicles are widely available but, due to the nature of automation, their in-vehicle displays are required to communicate more complex information to the driver. Examination of interfaces from a variety of manufacturers revealed a clear lack of consistency in the way key information is displayed. Different manufacturers have adopted icons varying in shape and colour to convey the same message. When driving a semi-autonomous vehicle, mode awareness is critical for trust, performance and safety. Standardisation of icons has been shown to have many benefi
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Brichuk, O. B., and A. D. Nevskaya. "Digitalization of entrepreneurship as a driver of its growth." Economic Analysis: Theory and Practice 19, no. 7 (2020): 1218–30. http://dx.doi.org/10.24891/ea.19.7.1218.

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Subject. The article considers the impact of digital economy on entrepreneurship, which is a key factor in influencing the social and economic life of countries with market economies. New economic processes are emerging, such as e-commerce, as well as new economic agents, such as digital government and digital enterprises, which, in turn, are shaping the digital entrepreneurial ecosystem. Objectives. We focus on exploring the impact of digital economy on business activity. Methods. The study draws on the methods of logical and statistical analysis. Results. The digital economy is forcing many
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O’Connell, Phillip J., Fiona Lawton, Ann M. Mills, and Karen Klockner. "Improving signal passed at danger management in New Zealand rail operations: Combining stabilised approach procedures with risk-triggered commentary driving." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 231, no. 10 (2016): 1070–77. http://dx.doi.org/10.1177/0954409716675003.

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The critical examination of driver cognition and information processing is vital to ensuring an effective signal passed at danger (SPAD) prevention strategy. Although this need was identified in KiwiRail’s organisational strategy to reduce signal passed at danger risk, the why and how factors were not clearly described and robustly linked to deliver the necessary effects. With risk-triggered commentary driving programmes gaining recognition as valuable components and activities within the driver competency model, an opportunity to couple risk-triggered commentary driving with stabilised approa
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Oliveira, Renan Furlan de, Edmur Azevedo Pugliesi, Ana Paula Marques Ramos, and Mônica Modesta Santos Decanini. "DRIVER PREFERENCE CONCERNING IN-CAR ROUTE GUIDANCE AND NAVIGATION SYSTEM MAPS FOR DRIVERS WITH COLOR VISION DEFICIENCY." Boletim de Ciências Geodésicas 24, no. 2 (2018): 186–201. http://dx.doi.org/10.1590/s1982-21702018000200013.

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Abstract: In-car Route Guidance and Navigation Systems (RGNS) are used to help drivers navigate. These maps have mainly been designed to accommodate drivers with normal color vision. However, the color perception of people with normal color vision differs from that of people with color vision deficiency. When navigating, understanding certain kinds of information presented by RGNS maps can be a more complex task for colorblind drivers and traffic safety may be impacted negatively. An important aspect related to the graphic design of RGNS maps is the use of a good combination of colors to impro
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Kholiavko, Nataliia, and Antonina Djakona. "HIGHER EDUCATION AS A DRIVER OF THE DIGITAL ECONOMY DEVELOPMENT." Economics & Education 6, no. 1 (2021): 83–91. http://dx.doi.org/10.30525/2500-946x/2021-1-14.

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The purpose of the current study is to analyze the impact of higher education and universities on the dynamics of the digital economy. The authors hypothesized to distinguish three components (educational, research, innovation) in the digital economy development. Within this article, the results of using index and cluster analysis methods to determine the impact of the educational component on the processes of digital economy development in Ukraine at the macroeconomic and meso-economic levels are presented. The special attention is put on the educational component because the higher education
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Forster, Yannick, Sebastian Hergeth, Frederik Naujoks, Josef Krems, and Andreas Keinath. "User Education in Automated Driving: Owner’s Manual and Interactive Tutorial Support Mental Model Formation and Human-Automation Interaction." Information 10, no. 4 (2019): 143. http://dx.doi.org/10.3390/info10040143.

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Automated driving systems (ADS) and a combination of these with advanced driver assistance systems (ADAS) will soon be available to a large consumer population. Apart from testing automated driving features and human–machine interfaces (HMI), the development and evaluation of training for interacting with driving automation has been largely neglected. The present work outlines the conceptual development of two possible approaches of user education which are the owner’s manual and an interactive tutorial. These approaches are investigated by comparing them to a baseline consisting of generic in
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Welsh, Ruth, and Andrew Morris. "Perceived Safety Benefits of Aftermarket Driver Support Systems: Results from a Large Scale European Field Operational Test (FOT)." Safety 4, no. 4 (2018): 54. http://dx.doi.org/10.3390/safety4040054.

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A field operational test (FOT) is a technique used within traffic safety to evaluate the overall value of in-vehicle information systems (IVISs) under normal operating conditions. In this study, a pan-European FOT was used to evaluate Navigation, Speed Information/Alert, Traffic Information, and Green Driving Support functions together with participants’ perceptions of safety’ before, during, and after using the functions. Through utilization and adherence to the FOT methodology, data were collected over a period ranging from 8 to 16 months in five European countries in order to assess the dri
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Liu, Yue, Yuhki Kitazono, Shota Nakashima, Li Feng Zhang, and Serikawa Seiichi. "Proposal of Driver Symbol Mark Detection Using One-Dimensional Histogram Figure Extraction Method." Applied Mechanics and Materials 36 (October 2010): 376–80. http://dx.doi.org/10.4028/www.scientific.net/amm.36.376.

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Nowadays, research and development in vehicle safety system has been intensively conducted. In the research field of intelligent transportation systems (ITS), various suggestions have been made concerning road signs which can be automatically recognized by driver-support systems. But, human factors are important risks of traffic accidents. However, research is focused on road signs, in the driver information analysis is not enough. So, in this study we describe a new method to extract driver symbol mark using one-dimensional histogram. The method utilizes the Polytope method which is one of mi
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Golz, Martin, Sebastian Thomas, and Adolf Schenka. "EEG-Based Classification of the Driver Alertness State." Current Directions in Biomedical Engineering 6, no. 3 (2020): 353–56. http://dx.doi.org/10.1515/cdbme-2020-3091.

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AbstractGMLVQ (Generalized Matrix Relevance Learning Vector Quantization) is a method of machine learning with an adaptive metric. While training, the prototype vectors as well as the weight matrix of the metric are adapted simultaneously. The method is presented in more detail and compared with other machine learning methods employing a fixed metric. It was investigated how accurately the methods can assign the 6-channel EEG of 25 young drivers, who drove overnight in the simulation lab, to the two classes of mild and severe drowsiness. Results of cross-validation show that GMLVQ is at 81.7 ±
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Hancock, P. A., Tara Kajaks, Jeff K. Caird, et al. "Challenges to Human Drivers in Increasingly Automated Vehicles." Human Factors: The Journal of the Human Factors and Ergonomics Society 62, no. 2 (2020): 310–28. http://dx.doi.org/10.1177/0018720819900402.

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Objective We examine the relationships between contemporary progress in on‐road vehicle automation and its coherence with an envisioned “autopia” (automobile utopia) whereby the vehicle operation task is removed from all direct human control. Background The progressive automation of on‐road vehicles toward a completely driverless state is determined by the integration of technological advances into the private automobile market; improvements in transportation infrastructure and systems efficiencies; and the vision of future driving as a crash‐free enterprise. While there are many challenges to
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Wakamiya, Atsushi, Naoki Suganuma, In Soo Kweon, and Naofumi Fujiwara. "Obstacle Recognition and Position Measurement for Night Driving by Image Processing." Journal of Robotics and Mechatronics 13, no. 4 (2001): 371–80. http://dx.doi.org/10.20965/jrm.2001.p0371.

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The reduced driving visibility at night makes it important in driver support to improve recognize obstacle recognition. We propose detecting vehicle tail lights by us bright color information issued at night and measuring the relative distance to the vehicle from its image position using stereo vision. We conducted experiments to determine the effectiveness of our proposed technique.
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Saretta, Erika, Pierluigi Bonomo, Willy Maeder, Van Khai Nguyen, and Francesco Frontini. "Digitalization as a driver for supporting PV deployment and cost reduction." EPJ Photovoltaics 13 (2022): 1. http://dx.doi.org/10.1051/epjpv/2021013.

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Digitalization is providing advantages to all sectors around the world and it can be of relevance also for the photovoltaic (PV) sector. As an example, the current value chain of the European PV sector is often characterized by analogue and fragmented processes that should be overcame to support greater PV deployment. The adoption of a more open and collaborative digital-based approach characterized by data-sharing among different stakeholders and more integrated information thread from the design till O&M can provide direct benefits in optimizing the PV process, increasing performances, a
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Laba, O., та Yu Romanyshyn. "ІНФОРМАЦІЙНЕ МОДЕЛЮВАННЯ В ПРОЦЕСАХ ІНФОРМАЦІЙНОГО ЗАБЕЗПЕЧЕННЯ ОРГАНІЗАЦІЇ". State and Regions. Series: Social Communications, № 2(46) (13 серпня 2021): 117. http://dx.doi.org/10.32840/cpu2219-8741/2021.2(46).17.

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<p><strong><em>The purpose</em></strong><em> of the research is to build an information model of information resources of the institution for the vehicle drivers training, to analyze the effectiveness of the information resources use in the context of information support for driver training. </em></p><p><strong><em>Research methodology.</em></strong><em> To build an information model of information resources of the institution for the vehicle drivers training the following methods were used: analysis, descripti
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WAŻNY, Mariusz, Krzysztof FALKOWSKI, Mirosław WRÓBLEWSKI, Konrad WOJTOWICZ, and Adam MARUT. "Conceptual Design of an Anti-collision System for Light Rail Vehicles." Problems of Mechatronics Armament Aviation Safety Engineering 12, no. 1 (2021): 9–26. http://dx.doi.org/10.5604/01.3001.0014.7848.

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This paper presents the concepts for an anti-collision system intended for trams. The purpose of the anti-collision system is to develop and provide information to support the driver’s decision to initiate the braking of a tram. The anti-collision system is based on the processing of data from multiple sources (obstacle detection, image processing, and visual light communication system) and an expert system. The information about the road situation is visually presented on HUD (Head-up Display) of the driver.
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Yan, Lixin, Chaozhong Wu, Dunyao Zhu, et al. "Driving Mode Decision Making for Intelligent Vehicles in Stressful Traffic Events." Transportation Research Record: Journal of the Transportation Research Board 2625, no. 1 (2017): 9–19. http://dx.doi.org/10.3141/2625-02.

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The development of autonomous vehicles provides effective solutions and opportunities for reducing the probability of traffic accidents. However, because of technical limitations and economic and social challenges, achieving fully autonomous driving is a long-term endeavor. One principal research question is how to choose the suitable driving mode of an intelligent vehicle during stressful traffic events. For this purpose, an on-road experiment with 22 drivers was conducted in Wuhan, China; multisensor data were collected from the driver, the vehicle, the road, and the environment. Driving mod
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Kamide, Hiroko. "The Effect of Social Cohesion on Interest, Usefulness, and Ease of Use of a Driving Assistance System in Older Adults." International Journal of Environmental Research and Public Health 18, no. 21 (2021): 11412. http://dx.doi.org/10.3390/ijerph182111412.

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This study examined the relationship between social cohesion and the perceived interest in, the usefulness of, and the ease of use of an instructor-based driver assistance system in a sample of older adults. With the aging of the population, the use of technologies to support the driving skills of the elderly is expected, and it is necessary to clarify the conditions under which the elderly will be interested in these advanced technologies. Traditionally, social cohesion has been focused on as a function of instrumental and practical support in the lives of the elderly. Since social cohesion r
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