Academic literature on the topic 'Dangerousness of the driving situation'
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Journal articles on the topic "Dangerousness of the driving situation"
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.
Full textShin, 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.
Full textSnowden, 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.
Full textShinohara, 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.
Full textNgoc, 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.
Full textCastano, 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.
Full textLi, 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.
Full textOgazi, 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.
Full textChen, 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.
Full textSoliman, 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.
Full textDissertations / Theses on the topic "Dangerousness of the driving situation"
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.
Full textZuo, 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.
Full textStephens, 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/.
Full textOKADA, 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.
Full textMuhundan, 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.
Full textMaster 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.
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.
Full textDie 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
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.
Full textBumgarner, 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.
Full textSubmitted to the Dept. Of Psychology. Title from title page of source document. Document formatted into pages; contains 77 pages. Includes bibliographical references.
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.
Full textOctober 2015
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.
Full textBooks on the topic "Dangerousness of the driving situation"
Shirwa, Abdulkadir Hassan. Ox-cultivation in Somalia: Historical background and present situation. Mogadishu [Somalia]: Ministry of Agriculture, 1989.
Find full textVehicle Feedback and Driver Situation Awareness. Taylor & Francis Group, 2018.
Find full textLAND.TECHNIK 2020. VDI Verlag, 2020. http://dx.doi.org/10.51202/9783181023747.
Full textAskenazy, Philippe, and Bruno Palier. France. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198807032.003.0006.
Full textGross, 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.
Full textBook chapters on the topic "Dangerousness of the driving situation"
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.
Full textEndsley, 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.
Full textDing, 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.
Full textWeller, 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.
Full textBaumann, 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.
Full textBaumann, 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.
Full textKato, 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.
Full textLu, 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.
Full textKrems, 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.
Full textPark, 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.
Full textConference papers on the topic "Dangerousness of the driving situation"
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.
Full textHermann, 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.
Full textNho, 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.
Full textWissing, 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.
Full textCavallo, 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.
Full textKatrahmani, 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.
Full textDapzol, 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.
Full textHoermann, 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.
Full textHorvath, 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.
Full textGerwien, 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.
Full textReports on the topic "Dangerousness of the driving situation"
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.
Full textChiavassa, 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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