Academic literature on the topic 'Dangerousness of the driving situation'

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Journal articles on the topic "Dangerousness of the driving situation"

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Usyukina, M., and S. Kornilova. "Risk Factors for Criminal Offending of Patients Suffered from Epilepsy." European Psychiatry 24, S1 (January 2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)71081-8.

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Study material: 148 male offenders with the proved diagnosis of epilepsy, stayed for inpatient forensic psychiatric evaluation.Risk factors could be relevant to clinical psychopathological (mechanisms of aggressive actions, primary syndrome, a course of the disorder) and different social and psychological factors such as social maladjustment (unemployed person, absence of the trade, not qualified physical work), poor living conditions, family disturbances with aggressive attitudes of patients in family and susceptibility to antisocial influence from others; alcohol abuse, repeated committing of criminal offences both before and after the onset of the disease, breach of a hospital regimen, particularly - a violent behavior. The syndromal description of the patient's condition has provided us with key data that allowed to make an opinion of the probability of committing a new crime and of its potential severity. Social dangerousness of patients with psychotic conditions (delirium, hallucinations, impairment of coinsciousness, paroxysmal states) could be found at the periods of psychotic manifestations. The social dangerousness of patients with negative symptoms (personality changes, dementia signs) is relatively stable. There has been a prevalence of situation driven negative and personality mechanisms such as affective control loss and intellectual incapacity. Assessing the dangerousness of the patients with positive psychotic mechanisms of an offence the content of delirious experience should be discovered as well and the place and the role of real persons who might be involved into the pathological delirious plot have to be found. Assessment of the dangerousness of positive psychotic mechanisms without delirious motivation requires to focus on stability on probability of the recurrence of the syndrome that produced this psychopathological mechanism.
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Shin, Jong-Gyu, and Sang-Ho Kim. "Intelligibility of Haptic Signals in Vehicle Information Systems." Sensors 21, no. 13 (July 4, 2021): 4583. http://dx.doi.org/10.3390/s21134583.

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Objective: The purpose of this study was to verify changes in a driver’s emotions through the physical characteristics of haptic signals. This is to improve the performance of drivers by designing haptic signals with emotional semantics. Background: Currently, drivers receive a variety of information through intelligent systems installed in their vehicles. Because this is mainly achieved through visual and auditory channels, an excessive amount of information is provided to drivers, which increases the amount of information and cognitive load that they must accept. This, in turn, can reduce driving safety. It is, therefore, necessary to develop a haptic signal, a sensory channel that has not been widely used in in-vehicle information systems. Methods: The experiment was performed to collect a driver’s emotions according to the haptic signal in a driving simulator. Haptic signals were designed by various frequencies and accelerations, and driver emotions were collected through Kansei engineering techniques and analyzed through factor analysis. To verify intelligibility, haptic signals were compared and evaluated based on response time, response rate, and amount of transmitted information. Results: The final determined emotional map consisted of dangerousness and urgency. Based on the emotional map, four emotional semantic haptic signals were designed. It was confirmed that these four signals displayed higher performance than the discriminability haptic signal in terms of response time, response rate, and amount of transmitted information. Conclusions: Using emotional maps, it is possible to design haptic signals that can be applied to various driving situations. These maps may also assist in securing design guidelines for haptic signals that apply to in-vehicle information systems.
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Snowden, Peter. "Practical aspects of clinical risk assessment and management." British Journal of Psychiatry 170, S32 (April 1997): 32–34. http://dx.doi.org/10.1192/s0007125000298711.

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It is debatable whether the notion of dangerousness now has any utilitarian value for psychiatry. The presence or absence of dangerousness is very much in the eye of the beholder. It is an all or nothing term – you either have it or you do not! While there is usually little disagreement about the few very violent individuals “who, for 24 hours a day, and in any situation, are likely to cause harm to others” (Chiswick, 1995), most patients are not in this category and “little bit dangerous” is unlikely to be of much comfort to clinical staff. It is unhelpful to deny that dangerousness is any more than an adjective which has been elevated into a pseudoscientific construct whose definitions (Scott, 1977; Walker, 1978; Home Office & DHSS, 1975) amount to little more than “past harm predicts future behaviour”.
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Shinohara, Yumiko, and Yukiko Nishizaki. "Effect of Driving Situation and Driving Experience on Eye Movements." Information Engineering Express 3, no. 3 (2017): 31–40. http://dx.doi.org/10.52731/iee.v3.i3.216.

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Ngoc, Luu Bich, Nguyen Thi Thieng, and Nguyen Lan Huong. "The Drink Driving Situation in Vietnam." Traffic Injury Prevention 13, no. 2 (March 2012): 109–14. http://dx.doi.org/10.1080/15389588.2011.636408.

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Castano, Ramón. "The Drink Driving Situation in Colombia." Traffic Injury Prevention 13, no. 2 (March 2012): 120–25. http://dx.doi.org/10.1080/15389588.2011.637096.

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Li, Ying, Donghua Xie, Guangmeng Nie, and Junhua Zhang. "The Drink Driving Situation in China." Traffic Injury Prevention 13, no. 2 (March 2012): 101–8. http://dx.doi.org/10.1080/15389588.2011.637097.

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Ogazi, Chidi, and Ema Edison. "The Drink Driving Situation in Nigeria." Traffic Injury Prevention 13, no. 2 (March 2012): 115–19. http://dx.doi.org/10.1080/15389588.2011.645097.

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Chen, Junfei, Mengchen Chen, and Pei Zhou. "Using Multiple Index Comprehensive Method to Assess Urban Rainstorm Disaster Risk in Jiangsu Province, China." Mathematical Problems in Engineering 2020 (July 21, 2020): 1–10. http://dx.doi.org/10.1155/2020/8973025.

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An integrated index system for urban rainstorm risk evaluation has been developed. Meanwhile, an information diffusion method (IDM) and variable fuzzy sets (VFSs) were employed to evaluate the dangerousness, sensitivity, and vulnerability risk of urban rainstorm disasters, respectively. Then, the comprehensive risk zoning map was drawn. Finally, Jiangsu Province has been taken as a case study area. Due to heavy rainfall in short-term and low rainstorm resistance ability, Wuxi, Changzhou, Nanjing, and Suzhou have higher dangerousness while Wuxi, Changzhou, and Nanjing have higher sensitivity. And because of potential losses in urban rainstorm disaster, Wuxi and Suzhou have higher vulnerability than other cities. The comprehensive risk zoning map showed that most cities of Jiangsu Province are at the moderate risk level, and the northwestern cities have lower risk level than the southern cities. The results are consistent with the actual situation of Jiangsu Province, and the study can provide some decision-making references for the urban rainstorm management.
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Soliman, Abdrabo Moghazy, and Elsayed Khaled Mathna. "Metacognitive Strategy Training Improves Driving Situation Awareness." Social Behavior and Personality: an international journal 37, no. 9 (October 1, 2009): 1161–70. http://dx.doi.org/10.2224/sbp.2009.37.9.1161.

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In this study the impact of training in a metacognitive strategy on driving situation awareness (SA) is investigated. Fifty-six participants were classified into an expert group and a novice group. Driving performance was measured by the number of driving infringements participants were involved in during a simulated driving situation and SA was assessed using the Situation Awareness Global Assessment Technique (Endsley, 1990). Participants were assigned randomly to either an experimental condition, where the participants were trained in modeling as metacognitive strategy, or a control condition with no training. It was found that the experts were more situationally aware than the novices, who were involved in more driving infringements. Training in a metacognitive strategy significantly enhanced SA and reduced driving infringements for both novices and experts but more so for novices than experts. These results highlight the advantage of improving SA and driver performance by using a metacognitive training strategy to enhance SA in a wide range of dynamic and highly complicated contexts.
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Dissertations / Theses on the topic "Dangerousness of the driving situation"

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Maxera, Pavel. "Analýza chování řidiče při řešení situací spojených s přecházením chodců přes vozovku." Doctoral thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-445182.

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The doctoral thesis analyses driver’s conduct while solving situations associated with crossing of pedestrians across the road in cases of various design of pedestrian crossings and at different conditions. The thesis deepens the knowledge of the human factor impact on the occurrence of a traffic accident involved vehicle and pedestrian and thesis also complements knowledge for the needs of the analysis of traffic accidents, especially in solving the pre collision phase and at assessment of possibilities for collision prevention by involved participants. The thesis deals with driver’s conduct, various models of the conduct as well as the thesis focuses on the visual perception, the process of information processing, the driver’s conduct and the reaction time. In terms of the solution suitable types of experiments were designed and implemented. Based on performed measurements a method of processing and evaluating data on drivers’ conduct was found as well as more significant data set was obtained for a detailed analysis of drivers' conduct in different driving situations. The assessed quantities of drivers' conduct were analysed with respect to the dangerousness of driving situations. For these purposes, the categories of the dangerousness of driving situations were defined (situations completely safe, with increased danger, dangerous and critical), into which the analysed driving situations were subsequently included. To enable the quantification of this classification of situations into the categories of the dangerousness, the coefficient of the dangerousness (so called K) was defined. From the detailed analysis of the obtained data, the limit values of this coefficient were determined, and these were subsequently verified using data from the solution of real traffic accidents. Concurrently the analysis verified the suitability of using this hazard coefficient in the analysis of traffic accidents, especially for a detailed assessment of the possibilities of collision prevention.
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Zuo, Y. (Yifei). "Mobile Application to support fuel-efficient driving through situation awareness." Master's thesis, University of Oulu, 2017. http://jultika.oulu.fi/Record/nbnfioulu-201706022491.

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Abstract. Situation awareness is usually conceptualized as design and implementation principles for safety critical industries like aviation or military. Finland was one of the first countries in the world to establish an intelligent transport systems (ITS) strategy in 2009. Increasing the situation awareness in traffic is regarded as one of the means to implement the strategy. In the theoretical part of this thesis, we explore the use of situation awareness and context awareness in intelligent transport systems. Particularly, the thesis focuses on summarizing proper design and evaluation principles to provide situation awareness support for fuel efficient driving. These guidelines were exploited in implementing a mobile application, called Driving Coach Mobile Application in the practical part of the thesis. The purpose of the application is to provide awareness to the drivers about how they can save fuel. Driving Coach Mobile Application’s accordance of design and implementation principles to situation awareness support is validated by user study with simulated data focused on usability, usefulness and fuel efficiency awareness support. The results of this thesis can be used in fleet management planning, city planning as well as in personal driving, for example.Tilannetietoinen mobiilisovellus polttoainetaloudellisen ajamisen tueksi. Tiivistelmä. Turvallisuuskriittisissä teollisuuden osa-alueissa kuten ilmailussa tai sotilaallisessa toiminnassa, eri toimijoiden tilannetietoisuuden parantamiseen tähtäävät suunnittelu- sekä toteutusperiaatteet ovat olleet merkittävässä roolissa jo pitkään. Suomi oli maailman ensimmäisiä maita, jotka julkistivat älykkään liikenteen strategian jo vuonna 2009. Tilannetietoisuuden parantaminen liikenteessä on edelleen eräs tämän strategian toimeenpanomuoto. Tämän työn teoreettisessa osassa tutkitaan avulla tilannetietoisuuden sekä toimintatilanteesta tietoisuuden soveltamista älyliikenteessä. Erityisesti tarkastellaan suunnittelu- sekä evaluointiperiaatteita polttoainetalouden tehokkuuden lisäämiselle tilannetietoisuuden avulla. Työn käytännön osuudessa sovellettiin näitä periaatteita mobiilisovelluksen toteuttamiseksi. Mobiilisovellus tukee kuljettajien polttoainetehokkaampaa ajamista. Sovellus testattiin käytettävyyden, hyödyllisyyden sekä polttoainetehokkaan ajamisen tuen suhteen. Sovellusta voidaan käyttää esimerkiksi kaupunkisuunnittelussa, autokannan toiminnan tarkkailemisessa tai vaikka henkilökohtaisen ajotavan arvioinnissa.
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Stephens, Amanda N. "The role of the individual, the situation and previous driving conditions in experienced and expressed driving anger and angry mood." Thesis, University of Surrey, 2008. http://epubs.surrey.ac.uk/654/.

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Anger is generally considered to result from a combination of physiological arousal, individual evaluation and situational characteristics. However, within the driving context, anger has often, but not always, been considered from either a person-centred approach, examining the influence of trait factors and individual differences in driving anger, or from a situation-focussed perspective, considering anger as a response to the current driving situation. The research reported in this thesis aimed to investigate the role of the individual and the situation in how drivers experience and express anger while driving.
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OKADA, Hiraku, Toshiaki FUJII, Tomohiro YENDO, Masaaki KATAYAMA, Takaya YAMAZATO, and Toru NAGURA. "Tracking an LED Array Transmitter for Visible Light Communications in the Driving Situation." IEEE, 2010. http://hdl.handle.net/2237/14462.

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Muhundan, Sushmethaa. "Exploring the Effects of Language on Angry Drivers' Situation Awareness, Driving Performance, and Subjective Perception." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103165.

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Research shows that anger has a negative impact on cognition due to the rumination effect and in the context of driving, anger negatively impacts situation awareness, driving performance, and road safety. In-vehicle agents are capable of mitigating the effects of anger and subsequent effects on driving behavior. Language is another important aspect that influences information processing and human behavior during social interactions. This thesis aims to explore the effects of the language of in-vehicle agents on angry drivers' situation awareness, driving performance, and subjective perception. The three conditions explored are the native language agent condition (Hindi or Chinese), secondary language agent condition (English), and no agent condition. Results indicate that driving performance is better in the case of the native language agent condition when compared to the no agent condition. Higher levels of situational awareness were affected by the agent condition, favoring the native language condition over the secondary language condition. The participants preferred native language agents over the other conditions and the perceived workload was higher in the no-agent condition than the native agent condition. Drivers also expressed the need to control the state of the in-vehicle agent. The study results have practical design implications and the results are expected to help foster future work in this domain.
Master of Science
People are deeply influenced by emotions. Anger while driving is shown to negatively impact people's perception and understanding of what is going on in the driving context and prediction about what will happen. As a result, this influences driving performance and road safety. Intelligent agents (such as Siri or Alexa) built into vehicles can help regulate the emotions of the drivers and can positively impact driving performance. Language is another important aspect that influences human behavior during social interactions. The current thesis aims to leverage the positive impacts of in-vehicle agents and language to design in-vehicle agent interactions capable of mitigating the negative effects of anger to ensure better driving performance and increased situation awareness. The three conditions explored are the native language agent condition (Hindi or Chinese), secondary language agent condition (English), and no agent condition. The effects on angry drivers' situation awareness, driving performance, and subjective perception are studied. Results indicate that the driving performance is better in the case of the native language agent condition when compared to the no agent condition. Participants preferred native language agents over the other conditions. People's understanding and prediction capability in the driving context was better in the native agent condition over the other conditions. The study results have practical design implications in designing in-vehicle agent interfaces and the results are expected to help foster future work.
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Streubel, Thomas. "Situation Assessment at Intersections for Driver Assistance and Automated Vehicle Control." Doctoral thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-195319.

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The development of driver assistance and automated vehicle control is in process and finds its way more and more into urban traffic environments. Here, the complexity of traffic situations is highly challenging and requires system approaches to comprehend such situations. The key element is the process of situation assessment to identify critical situations in advance and derive adequate warning and intervention strategies. This thesis introduces a system approach to establish a situation assessment process with the focus on the prediction of the driver intention. The system design is based on the Situation Awareness model by Endsley. Further, a prediction algorithm is created using Hidden Markov Models. To define the parameters of the models, an existing database is used and previously analyzed to identify reasonable variables that indicate an intended driving direction while approaching the intersection. Here, vehicle dynamics are used instead of driver inputs to enable a further extension of the prediction, i.e.\\ to predict the driving intention of other vehicles detected by sensors. High prediction rates at temporal distances of several seconds before entering the intersection are accomplished. The prediction is integrated in a system for situation assessment including an intersection model. A Matlab tool is created with an interface to the vehicle CAN bus and the intersection modeling which uses digital map data to establish a representation of the intersection. To identify differences and similarities in the process of approaching an intersection dependent on the intersection shape and regulation, a naturalistic driving study is conducted. Here, the distance to the intersection and velocity is observed on driver inputs related to the upcoming intersection (leaving the gas pedal, pushing the brake, using the turn signal). The findings are used to determine separate prediction models dependent on shape and regulation of the upcoming intersection. The system runs in real-time and is tested in a real traffic environment
Die Entwicklung von Fahrerassistenz und automatisiertem Fahren ist in vollem Gange und entwickelt sich zunehmend in Richtung urbanen Verkehrsraum. Hier stellen besonders komplexe Verkehrssituationen sowohl für den Fahrer als auch für Assistenzsysteme eine Herausforderung dar. Zur Bewältigung dieser Situationen sind neue Systemansätze notwendig, die eine Situationsanalyse und -bewertung beinhalten. Dieser Prozess der Situationseinschätzung ist der Schlüssel zum Erkennen von kritischen Situationen und daraus abgeleiteten Warnungs- und Eingriffsstrategien. Diese Arbeit stellt einen Systemansatz vor, welcher den Prozess der Situationseinschätzung abbildet mit einem Fokus auf die Prädiktion der Fahrerintention. Das Systemdesign basiert dabei auf dem Situation Awareness Model von Endsley. Der Prädiktionsalgorithmus ist mit Hilfe von Hidden Markov Modellen umgesetzt. Zur Bestimmung der Modellparameter wurde eine existierende Datenbasis genutzt und zur Bestimmung von relevanten Variablen für die Prädiktion der Fahrtrichtung während der Kreuzungsannäherung analysiert. Dabei wurden Daten zur Fahrdynamik ausgewählt anstelle von Fahrereingaben um die Prädiktion später auf externe Fahrzeuge mittels Sensorinformationen zu erweitern. Es wurden hohe Prädiktionsraten bei zeitlichen Abständen von mehreren Sekunden bis zum Kreuzungseintritt erzielt. Die Prädiktion wurde in das System zur Situationseinschätzung integriert. Weiterhin beinhaltet das System eine statische Kreuzungsmodellierung. Dabei werden digitale Kartendaten genutzt um eine Repräsentation der Kreuzung und ihrer statischen Attribute zu erzeugen und die der Kreuzungsform entsprechenden Prädiktionsmodelle auszuwählen. Das Gesamtsystem ist als Matlab Tool mit einer Schnittstelle zum CAN Bus implementiert. Weiterhin wurde eine Fahrstudie zum natürlichen Fahrverhalten durchgeführt um mögliche Unterschiede und Gemeinsamkeiten bei der Annäherung an Kreuzungen in Abhängigkeit der Form und Regulierung zu identifizieren. Hierbei wurde die Distanz zur Kreuzung und die Geschwindigkeit bei Fahrereingaben im Bezug zur folgenden Kreuzung gemessen (Gaspedalverlassen, Bremspedalbetätigung, Blinkeraktivierung). Die Ergebnisse der Studie wurden genutzt um die Notwendigkeit verschiedener Prädiktionsmodelle in Abhängigkeit von Form der Kreuzung zu bestimmen. Das System läuft in Echtzeit und wurde im realen Straßenverkehr getestet
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Rosenstatter, Thomas. "Modelling the Level of Trust in a Cooperative Automated Vehicle Control System." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-32046.

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Vehicle-to-Vehicle communication is the key technology for achieving increased perception for automated vehicles where the communication allows virtual sensing with the use of sensors placed in other vehicles. In addition, this technology also allows recognising objects that are out-of-sight. This thesis presents a Trust System that allows a vehicle to make more reliable and robust decisions. The system evaluates the current situation and generates a Trust Index indicating the level of trust in the environment, the ego vehicle, and the other vehicles. Current research focuses on securing the communication between the vehicles themselves, but does not verify the content of the received data on a system level. The proposed Trust System evaluates the received data according to sensor accuracy, behaviour of other vehicles, and the perception of the local environment. The results show that the proposed method is capable of correctly identifying various situations and discusses how the Trust Index can be used to make more robust decisions.
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Bumgarner, David Joseph. "The effects of mental training with young adults on situation awareness in a simulated driving task." [Pensacola, Fla.] : University of West Florida, 2009. http://purl.fcla.edu/fcla/etd/WFE0000183.

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Thesis (M.A.)--University of West Florida, 2009.
Submitted to the Dept. Of Psychology. Title from title page of source document. Document formatted into pages; contains 77 pages. Includes bibliographical references.
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Bashiri, Behzad. "Effects of task automation on the mental workload and situation awareness of operators of agricultural semi-autonomous vehicles." Elsevier, 2013. http://hdl.handle.net/1993/30648.

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The effects of in-vehicle automation and driving assistant systems on the mental workload and situation awareness of drivers have been the interest of many studies; some of the implications of automation in such man-machine systems have been identified. Due to the introduction of advanced automated systems in agricultural machinery, farmers are currently working with semi-autonomous vehicles. A human factors perspective on the design of these systems will ensure safe and efficient operation of such man-machine systems. In this study, a systematic approach was utilized to address human factors issues associated with operating a semi-autonomous agricultural vehicle, and to provide design recommendations. The study was carried out in three stages. First, a task analysis was used to identify tasks associated with operating an agricultural vehicle and to select appropriate experimental variables. Next, a preliminary experiment was performed to validate the test procedure and measurement techniques. Finally, the main experiment was administered. Experiments were conducted using the Tractor Driving Simulator located in the Agricultural Ergonomics Laboratory at the University of Manitoba. Thirty young experienced tractor drivers participated in this study. The experiment investigated the effects of i) vehicle steering task automation (VSTA) and ii) implement control and monitoring task automation (ICMTA) on mental workload and situation awareness of drivers. It was found that ICMTA significantly affected situation awareness (and its underlying components) of the operator. The situation awareness of drivers increased as the automation support level increased, but the highest level of automation, where the participants were out of the task loop, resulted in low situation awareness, similar to the condition with no automation support. VSTA only reduced the attentional demand of the situation, one of the three components of the situation awareness, which had negative effect on overall situation awareness. Based on the results from a subjective mental workload measure, moderate levels of mental workload were reported when the participants were involved in the implement control and monitoring task loop. The highest level of ICMTA reduced the average mental workload by 18%. Reaction time of drivers and number of errors committed by drivers both decreased as the automation level increased.
October 2015
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Rehder, Tobias [Verfasser], and Dieter [Akademischer Betreuer] Schramm. "Learning Lane Change Behavior to Enable Situation Awareness for Automated Driving on Highways / Tobias Rehder ; Betreuer: Dieter Schramm." Duisburg, 2020. http://d-nb.info/1210861569/34.

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Books on the topic "Dangerousness of the driving situation"

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Shirwa, Abdulkadir Hassan. Ox-cultivation in Somalia: Historical background and present situation. Mogadishu [Somalia]: Ministry of Agriculture, 1989.

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Vehicle Feedback and Driver Situation Awareness. Taylor & Francis Group, 2018.

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LAND.TECHNIK 2020. VDI Verlag, 2020. http://dx.doi.org/10.51202/9783181023747.

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Electrical Systems Sustainable Agriculture in an Electrifed World – Cradle-to-Grave evaluation of different propulsion systems 1 Understanding the opportunities and challenges of self-driving, electric feld tractors using dynamic discrete-event simulation 9 Design and analysis of a magnetic-electrical power split gearbox for application in an agricultural vehicle 17 Development of a 3-speed gearbox in electric powertrain – Ground drive transmission for a commercial vehicle 23 Data Management Farmers’ expectations in Precision Farming Technologies – Transfarm 40 online survey 2019 31 Cyber Threats and Cyber Risks in Smart Farming 37 Automatic logging and situation-related evaluation of manufacturer independent machine data 47 Data insight and expert knowledge combined to maximize uptime 55 … ...
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Askenazy, Philippe, and Bruno Palier. France. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198807032.003.0006.

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This chapter describes France as apparently one of the few rich countries to have avoided a significant increase in income inequality in recent decades. However, stable average inequalities mask an asymmetric trend of income between age groups, the elderly improving their situation while the young see theirs worsening. Furthermore, it shows that behind this relatively still surface, a general trend of precarization of more and more ordinary workers is occurring. The importance of wage-setting processes and of regulation of the labour market is brought out, together with the way the tax and transfer systems have operated, in restraining the forces driving inequality upwards. Wage growth, while limited, has thus been reasonably uniform across the distribution and together with the redistributive system have kept household income inequality within bounds. However, in response to high unemployment both regulatory and tax–transfer systems have served to underpin the very rapid growth in precarious working over the last decade, representing a very serious challenge for policy.
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Gross, Alan G., and Joseph E. Harmon. The Internet Revolution in the Sciences and Humanities. Oxford University Press, 2016. http://dx.doi.org/10.1093/oso/9780190465926.001.0001.

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The Internet Revolution in the Sciences and Humanities takes a new look at C.P. Snow's distinction between the two cultures, a distinction that provides the driving force for a book that contends that the Internet revolution has sown the seeds for transformative changes in both the sciences and the humanities. It is because of this common situation that the humanities can learn from the sciences, as well as the sciences from the humanities, in matters central to both: generating, evaluating, and communicating knowledge on the Internet. In a succession of chapters, the authors deal with the state of the art in web-based journal articles and books, web sites, peer review, and post-publication review. In the final chapter, they address the obstacles the academy and scientific organizations face in taking full advantage of the Internet: outmoded tenure and promotion procedures, the cost of open access, and restrictive patent and copyright law. They also argue that overcoming these obstacles does not require revolutionary institutional change. In their view, change must be incremental, making use of the powers and prerogatives scientific and academic organizations already have.
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Book chapters on the topic "Dangerousness of the driving situation"

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Cussat-Blanc, Sylvain, Jean Disset, and Stéphane Sanchez. "Dangerousness Metric for Gene Regulated Car Driving." In Applications of Evolutionary Computation, 620–35. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31204-0_40.

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Endsley, Mica. "Situation Awareness in Driving." In Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles, 127–52. Boca Raton, FL : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/b21974-7.

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Ding, Chenxi, Yan Mao, Wuhong Wang, and Martin Baumann. "Driving Situation Awareness in Transport Operations." In Atlantis Computational Intelligence Systems, 37–56. Paris: Atlantis Press, 2012. http://dx.doi.org/10.2991/978-94-91216-80-0_3.

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Weller, Gert. "Driving on Rural Roads: The Current Situation." In The Psychology of Driving on Rural Roads, 31. Wiesbaden: VS Verlag für Sozialwissenschaften, 2010. http://dx.doi.org/10.1007/978-3-531-92414-4_1.

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Baumann, M., and J. F. Krems. "Situation Awareness and Driving: A Cognitive Model." In Modelling Driver Behaviour in Automotive Environments, 253–65. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-618-6_14.

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Baumann, Martin R. K., Diana Rösler, and Josef F. Krems. "Situation Awareness and Secondary Task Performance While Driving." In Engineering Psychology and Cognitive Ergonomics, 256–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73331-7_27.

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Kato, Takaaki. "Visual Behaviors and Expertise in Race Driving Situation." In Advances in Intelligent Systems and Computing, 245–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96074-6_26.

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Lu, Zhenji, Riender Happee, and Joost de Winter. "Modelling the Dynamics of Driver Situation Awareness in Automated Driving." In Advances in Intelligent Systems and Computing, 643–49. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60441-1_62.

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Krems, Josef F., and Martin R. K. Baumann. "Driving and Situation Awareness: A Cognitive Model of Memory-Update Processes." In Human Centered Design, 986–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02806-9_113.

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Park, Daehee, and Wanchul Yoon. "The Hexagonal Spindle Model for Human Situation Awareness While Autonomous Driving." In HCI in Mobility, Transport, and Automotive Systems, 65–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22666-4_5.

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Conference papers on the topic "Dangerousness of the driving situation"

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Thill, Serge, and Maria Riveiro. "Situation awareness in eco-driving." In 2015 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA). IEEE, 2015. http://dx.doi.org/10.1109/cogsima.2015.7108186.

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Hermann, Andreas, and Jorg Desel. "Driving situation analysis in automotive environment." In 2008 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2008). IEEE, 2008. http://dx.doi.org/10.1109/icves.2008.4640860.

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Nho, Young-Hoon, Ju-Hwan Seo, Jeong-Yean Yang, and Dong-Soo Kwon. "Driving situation-based real-time interaction with intelligent driving assistance agent." In 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 2015. http://dx.doi.org/10.1109/roman.2015.7333592.

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Wissing, Christian, Till Nattermann, Karl-Heinz Glander, and Torsten Bertram. "Interaction-Aware Long-term Driving Situation Prediction." In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. http://dx.doi.org/10.1109/itsc.2018.8570002.

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Cavallo, Viola, Régis Lobjois, Aurélie Dommes, and Fabrice Vienne. "Elderly Pedestrians' Visual Timing Strategies in a Simulated Street- Crossing Situation." In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2009. http://dx.doi.org/10.17077/drivingassessment.1363.

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Katrahmani, Atefeh, Nima Ahmadi, and Matthew Romoser. "Using Situation Awareness as a Measure of Driver Hazard Perception Ability." In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2017. http://dx.doi.org/10.17077/drivingassessment.1644.

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Dapzol, Nicolas. "Weight Semi Hidden Markov Model and Driving Situation Classification for Driver Behavior Diagnostic." In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2007. http://dx.doi.org/10.17077/drivingassessment.1219.

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Hoermann, Stefan, Martin Bach, and Klaus Dietmayer. "Learning Long-Term Situation Prediction for Automated Driving." In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2017. http://dx.doi.org/10.1109/icmla.2017.00-21.

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Horvath, Laszlo. "Organized Driving Intellectual Content to Assist Situation Recognition." In 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES). IEEE, 2020. http://dx.doi.org/10.1109/ines49302.2020.9147178.

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Gerwien, Maximilian, Alexander Jungmann, and Rick Vosswinkel. "Towards Situation-Aware Decision-Making for Automated Driving." In 2021 7th International Conference on Automation, Robotics and Applications (ICARA). IEEE, 2021. http://dx.doi.org/10.1109/icara51699.2021.9376406.

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Reports on the topic "Dangerousness of the driving situation"

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Shinohara, Kazumitsu, Yuichi Komada, Takahiko Kimura, Toshiaki Miura, Masaro Kogure, and Toshimasa Yamamoto. Cognitive Load by Processing of Visual Information Obtained From an In- Vehicle Information Device and Detection of Hazard in the Driving Situation. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0444.

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Chiavassa, Nathalie, and Raphael Dewez. Technical Note on Road Safety in Haiti. Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003250.

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Abstract:
The IDB has been a predominant partner supporting Haiti development efforts for many years. Nowadays, the IDB is the main source of investment for the country. Considering the vital weight of road transport sector in the socio-economy of the country, the IDB has concentrated a large part of investment efforts in rehabilitating and improving national road infrastructures. In the same time, a rapid increase of motorization and relatively higher speeds have contributed to increasing the number of traffic fatalities and injuries. In 2017, road injuries were the fifth cause of mortality in Haiti. The Road Safety situation of the country is preoccupying with many Vulnerable Road Users involved, in particular pedestrians and motorcyclists. The country is facing multi-sector challenges to address this Road Safety situation. Despite recent efforts, high political will has not been continuous in promoting a multi-sector coordination and the success of technical efforts remained mitigated over the last years. Road user awareness is still weak in the country. Risk factors include dangerous driving, bad safety conditions of vehicles, together with limited law enforcement and poor maintenance of safety devices on the roads. In this context, the Road Safety situation of the country may be getting worse in the coming years if no action is taken. However, the new Decade provides with a unique opportunity to achieve Sustainable Development Goals (SDGs) including significant progress in reducing the burden of traffic crashes. The IDB has already initiated vital investments in modernizing crash data collection, promoting institutional dialogue and supporting capacity building in the area of Road Safety. Future actions to address Road Safety challenges in Haiti in the framework of the five UN five pillars would require a range of investments in the area of political commitment, institutional coordination and technical efforts. A change of political paradigm from making roads for travelling faster to making roads safer for all users is highly needed at national level. This technical note on Road Safety in Haiti present the current situation of the country and provides with recommendations for future actions on Road Safety.
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