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

Author: Grafiati

Published: 28 June 2021

Last updated: 18 February 2022

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1

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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4

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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5

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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6

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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8

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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9

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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10

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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LEE, Donggi, Takaaki KOGA, Eunice LIOU, Miki KOZAKI, Bin LU, Kotaroh HIRATE, and Naoko WAKABAYASI. "A RESEARCH TO NOTICEABILITY OF SIGNBOARD ON DRIVING SITUATION USING DRIVING SIMULATOR." AIJ Journal of Technology and Design 18, no. 38 (2012): 287–91. http://dx.doi.org/10.3130/aijt.18.287.

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12

Wilde, Andreas, Jörg Schneider, and Hans-Georg Herzog. "Driving situation and driving style dependent charging strategy in hybrid electric vehicles." ATZ worldwide 110, no. 5 (May 2008): 18–24. http://dx.doi.org/10.1007/bf03225005.

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13

KIKUCHI, Kazunori, Keisuke SUZUKI, Matthieu WORM, and Tsuyoshi KATAYAMA. "Relation between driver behavior and situation awareness while driving with driving support system." Proceedings of the Transportation and Logistics Conference 2003.12 (2003): 69–72. http://dx.doi.org/10.1299/jsmetld.2003.12.69.

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14

Can, A., and D. Botteldooren. "Towards Traffic Situation Noise Emission Models." Acta Acustica united with Acustica 97, no. 5 (September 1, 2011): 900–903. http://dx.doi.org/10.3813/aaa.918469.

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This article proposes a methodology to account for vehicle kinematics in a fast and efficient way when using single vehicle noise emission models such as the Harmonoise/Imagine, Nord2000 or NMPB. A model is built, which mimics the traffic situation emission models developed in the field of airborne pollutants research. The model aggregates the sound power emitted over driving cycles which are statistically representative of real-world driving conditions. Four different driving conditions are included in the cycles, ranging from free-flowing to stop-and-go traffic conditions. The sound power levels estimated with this new approach are significantly different from the ones estimated with the mean speed approach recommended by the noise mapping guidelines, especially when traffic is congested, suggesting that the method could prove relevant for improving noise map accuracy, in particular in urban context.

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Kim, Haksu, Kyunghan Min, and Myoungho Sunwoo. "Driver Characteristics Oriented Autonomous Longitudinal Driving System in Car-Following Situation." Sensors 20, no. 21 (November 9, 2020): 6376. http://dx.doi.org/10.3390/s20216376.

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Advanced driver assistance system such as adaptive cruise control, traffic jam assistance, and collision warning has been developed to reduce the driving burden and increase driving comfort in the car-following situation. These systems provide automated longitudinal driving to ensure safety and driving performance to satisfy unspecified individuals. However, drivers can feel a sense of heterogeneity when autonomous longitudinal control is performed by a general speed planning algorithm. In order to solve heterogeneity, a speed planning algorithm that reflects individual driving behavior is required to guarantee harmony with the intention of the driver. In this paper, we proposed a personalized longitudinal driving system in a car-following situation, which mimics personal driving behavior. The system is structured by a multi-layer framework composed of a speed planner and driver parameter manager. The speed planner generates an optimal speed profile by parametric cost function and constraints that imply driver characteristics. Furthermore, driver parameters are determined by the driver parameter manager according to individual driving behavior based on real driving data. The proposed algorithm was validated through driving simulation. The results show that the proposed algorithm mimics the driving style of an actual driver while maintaining safety against collisions with the preceding vehicle.

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Cao, Hang, and Máté Zöldy. "An Investigation of Autonomous Vehicle Roundabout Situation." Periodica Polytechnica Transportation Engineering 48, no. 3 (August 4, 2019): 236–41. http://dx.doi.org/10.3311/pptr.13762.

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The aim of this paper is to evaluate the impact of connected autonomous behavior in real vehicles on vehicle fuel consumption and emission reductions. Authors provide a preliminary theoretical summary to assess the driving conditions of autonomous vehicles in roundabout, which attempts exploring the impact of driving behavior patterns on fuel consumption and emissions, and including other key factors of autonomous vehicles to reduce fuel consumption and emissions. After summarizing, driving behavior, effective in-vehicle systems, both roundabout physical parameters and vehicle type are all play an important role in energy using. ZalaZONE’s roundabout is selected for preliminary test scenario establishment, which lays a design foundation for further in-depth testing.

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17

Underwood, Geoffrey, Athy Ngai, and Jean Underwood. "Driving experience and situation awareness in hazard detection." Safety Science 56 (July 2013): 29–35. http://dx.doi.org/10.1016/j.ssci.2012.05.025.

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Machura, Stefan, Sunita Matharu, Faye Mepham, Sarah Leanne Smith, and Jonathan Aston. "What Keeps Students from Driving under the Influence of Alcohol and Prescription Drugs? The Impact of Legitimacy of the Law, Prudent Behaviour and Perceived Dangerousness." Oñati Socio-legal Series 9, no. 6 (September 16, 2019): 1052–77. http://dx.doi.org/10.35295/osls.iisl/0000-0000-0000-1076.

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Driving under alcohol or while under the influence of a medication that impedes the ability to control a car are punishable offenses. The study asks if the perceived legitimacy of law, the perceived dangers of driving, including detection by the police, and the individual inclination to engage in risky and imprudent behaviour influence the likelihood of committing those offenses. At a British university, 337 students took part in a questionnaire study. The results show that students are less inclined to drive under alcohol than under medication. Both are variously influenced by practical circumstances like the frequency of driving, of drinking and the actual taking of such medication, even pressures to drive regardless. Driving under medication is also related to legitimacy of law. The difference may come from the absence of a public narrative for driving under medication: some students fall back to their attitude to the law. Conducir bajo los efectos del alcohol o de algún medicamento que obstaculice la capacidad de conducir un automóvil son delitos punibles. Este estudio se pregunta si la legitimidad percibida de la ley, los peligros percibidos de conducir (incluida la detección por parte de la policía) y la inclinación a mantener conductas arriesgadas e imprudentes influyen en la probabilidad de cometer dichos delitos. En una universidad británica, 337 estudiantes respondieron en un cuestionario. Los resultados muestran que los estudiantes son menos propensos a conducir bajo los efectos del alcohol que de medicamentos. Ambos casos están influidos por circunstancias prácticas, como la frecuencia de la conducción, de beber y de tomar dicho medicamento, incluso presiones para conducir en cualquier caso. Conducir bajo los efectos de medicamentos está relacionado con la legitimidad de la ley. La diferencia puede radicar en la ausencia de una narrativa pública sobre conducir bajo los efectos de medicamentos: algunos estudiantes se amparan en su actitud hacia la ley.

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LEE, Donggi, Takaaki KOGA, Miki KOZAKI, Eunice LIOU, Kotaroh HIRATE, Naoko WAKABAYASHI, Osamu SHIMOYAMA, and Bin LU. "2105 A Research to Effective Signboard Cognition during Driving Situation by Using Driving Simulator." Proceedings of the Transportation and Logistics Conference 2010.19 (2010): 343–46. http://dx.doi.org/10.1299/jsmetld.2010.19.343.

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20

Akamatsu, Motoyuki, Masayuki Okuwa, and Masaaki Onuki. "Development of Hi-Fidelity Driving Simulator for Measuring Driving Behavior." Journal of Robotics and Mechatronics 13, no. 4 (August 20, 2001): 409–18. http://dx.doi.org/10.20965/jrm.2001.p0409.

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A hi-fidelity driving simulator has been developed to measure driving behavior. Since the driver is an important component of Intelligent System (i.e., human factor), it is necessary to measure and investigate the driving behavior either with ITS or without ITS. As the driving behavior is situation dependent behavior, there is a great advantage from using the driving simulator because various situational (e.g., traffic situation) and environmental factors can be controlled. The driving simulator is composed of a 290 degree screen and a hexapod motion platform with a fully instrumented vehicle cabin. The road environment for the simulator was a town area with a complex road network and various buildings. The traffic control system can control a traffic scenario with 81 vehicles and 72 pedestrians. Since simulator sickness was one of main concerns of using the hi-fidelity driving simulator, we developed the Simplified Simulator Sickness Questionnaire (SSSQ) to evaluate the subjective severity of simulator sickness. The SSSQ consisted of three subscores for nausea, oculomotor, and disorientation symptoms. A preliminary experiment was conducted to investigate the change in severity of the sickness and the mental workload using SSSQ and NASA-TLX when simulator driving was repeated twelve times. We found that the severity of simulator sickness and the workload decreased with repeated simulator drives. When focusing on the change among three simulator drives within one day, the Nausea subscore decreased but the Oculomotor subscore increased.

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Wei, Bo, and Xing Yi Su. "Simulation and Calculation: Improve Work Life of Bearing on Driving Gear of Main Reducer." Applied Mechanics and Materials 644-650 (September 2014): 128–33. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.128.

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The driving gear and driven gear in car rear axle have function of transmitting power. As important part of supporting driving gear, work life and situation of bearing have influence on power transmission. This paper improves system stiffness of gear and bearing, improves force situation of bearing by researching span between two bearings on driving gear. Work situation of main reducer can be improved through extending bearing life. The vibration and noise are reduced. Car market competition is improved.

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Wang, Xinyan, Wu Bo, Weihua Yang, Suping Cui, and Pengzi Chu. "Effect of High-Altitude Environment on Driving Safety: A Study on Drivers’ Mental Workload, Situation Awareness, and Driving Behaviour." Journal of Advanced Transportation 2020 (July 21, 2020): 1–10. http://dx.doi.org/10.1155/2020/7283025.

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This study aims to analyze the effect of high-altitude environment on drivers’ mental workload (MW), situation awareness (SA), and driving behaviour (DB), and to explore the relationship among those driving performances. Based on a survey, the data of 356 lowlanders engaging in driving activities at Tibetan Plateau (high-altitude group) and 341 lowlanders engaging in driving activities at low altitudes (low-altitude group) were compared and analyzed. The results suggest that the differences between the two groups are noteworthy. Mental workload of high-altitude group is significantly higher than that of low-altitude group, and their situation awareness is lower significantly. The possibility of risky driving behaviours for high-altitude group, especially aggressive violations, is higher. For the high-altitude group, the increase of mental workload can lead to an increase on aggressive violations, and the situation understanding plays a full mediating effect between mental workload and aggressive violations. Measures aiming at the improvement of situation awareness and the reduction of mental workload can effectively reduce the driving risk from high-altitude environment for lowlanders.

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23

Chen, Hung-Tao M., and Megan Thomas. "Effects of Audio Learning on Semi-Autonomous Driving Safety." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 1181–85. http://dx.doi.org/10.1177/1071181320641282.

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Semi-autonomous driving has been found to require less cognitive resources from drivers. It is not immediately clear if engaging in secondary tasks such as audio learning is safe in a semi-autonomous driving situation, especially considering the finding that semi-autonomous drivers tend to be less engaged. The current study investigated the effects of audio learning during a simulated semi-autonomous driving situation. Our results indicated that audio learning could delay warning message reaction time, and drivers had worse audio learning performance in a simulated semi-autonomous driving situation. Implications of current findings on driver safety, audio learning, and forensic practices are described in the discussion section.

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24

XIONG, Lu. "Stability Criterion for the Vehicle under Critical Driving Situation." Journal of Mechanical Engineering 51, no. 10 (2015): 103. http://dx.doi.org/10.3901/jme.2015.10.103.

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NAKANISHI, Makoto, and Tetuya JIBU. "Text Analysis of Anger Situation and Expression in Driving." Proceedings of the Annual Convention of the Japanese Psychological Association 74 (September 20, 2010): 2EV030. http://dx.doi.org/10.4992/pacjpa.74.0_2ev030.

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YU, Zhuoping. "Review of Vehicle State Estimation Problem under Driving Situation." Journal of Mechanical Engineering 45, no. 05 (2009): 20. http://dx.doi.org/10.3901/jme.2009.05.020.

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27

Mao, Yan, Wuhong Wang, Chenxi Ding, Weiwei Guo, Xiaobei Jiang, Martin Baumann, and Geert Wets. "A measurement to driving situation awareness in signalized intersections." Transportation Research Part D: Transport and Environment 62 (July 2018): 739–47. http://dx.doi.org/10.1016/j.trd.2018.05.001.

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Yoshida, Yutaka, Hayato Ohwada, Fumio Mizoguchi, and Hirotoshi Iwasaki. "Classifying Cognitive Load and Driving Situation with Machine Learning." International Journal of Machine Learning and Computing 4, no. 3 (June 2014): 210–15. http://dx.doi.org/10.7763/ijmlc.2014.v4.414.

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Gugerty, Leo, and William Tirre. "A PC-Based Driving Simulator for Assessing Situation Awareness." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 2 (October 1997): 895. http://dx.doi.org/10.1177/107118139704100237.

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We plan to demonstrate a PC-based driving simulator developed by the US Air Force for assessing situation awareness (SA). This simulator is a flexible tool that allows researchers to assess drivers' SA using a variety of different probes. The simulator allows assessment of explicit knowledge used in driving, as is done in a number of SA assessment tools. However, unlike other SA assessment tools, the simulator also allows assessment of implicit, automatized knowledge.

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Jeon, Myounghoon, Bruce N. Walker, and Thomas M. Gable. "Anger Effects on Driver Situation Awareness and Driving Performance." Presence: Teleoperators and Virtual Environments 23, no. 1 (February 1, 2014): 71–89. http://dx.doi.org/10.1162/pres_a_00169.

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Research has suggested that emotional states have critical effects on various cognitive processes, which are important components of situation awareness (Endsley, 1995b). Evidence from driving studies has also emphasized the importance of driver situation awareness for performance and safety. However, to date, little research has investigated the relationship between emotional effects and driver situation awareness. In our experiment, 30 undergraduates drove in a simulator after induction of either anger or neutral affect. Results showed that an induced angry state can degrade driver situation awareness as well as driving performance as compared to a neutral state. However, the angry state did not have an impact on participants' subjective judgment or perceived workload, which might imply that the effects of anger occurred below their level of conscious awareness. One of the reasons participants showed a lack of compensation for their deficits in performance might be that they were not aware of severe impacts of emotional effects on driving performance.

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Sekine, T. "New Measuring Method of Mental Stress in Driving Situation." JSAE Review 16, no. 1 (January 1995): 110. http://dx.doi.org/10.1016/0389-4304(95)94849-i.

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32

Ma, Ruiqi, Mohamed A. Sheik-Nainar, and David B. Kaber. "Situation Awareness in Driving While Using Adaptive Cruise Control and a Cell Phone." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 3 (September 2005): 381–85. http://dx.doi.org/10.1177/154193120504900335.

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This research investigated the effects of an adaptive cruise control (ACC) system, and cell phone use in driving, on a direct objective measure of situation awareness (SA). Subjects drove a virtual car in a medium-fidelity driving simulation and performed a following task. Half of the subjects were required to respond to cell phone calls and all subjects completed trials with and without use of the ACC system. SA was measured using a simulation freeze technique and SA queries on the driving situation. Results indicated use of the ACC system to improve driving task SA under normal driving conditions, and cell phone conversations degraded SA. Results also revealed the ACC system to improve safe driving headway distance. Although the deviations in headway distance from an optimum were greater during cell phone conversations, this did not prove to be significant in terms of performance under normal driving conditions.

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ANUND, Anna, Göran KECKLUND, Albert KIRCHER, Andreas TAPANI, and Torbjörn ÅKERSTEDT. "The Effects of Driving Situation on Sleepiness Indicators after Sleep Loss: A Driving Simulator Study." Industrial Health 47, no. 4 (2009): 393–401. http://dx.doi.org/10.2486/indhealth.47.393.

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Gugerty, Leo J., and William C. Tirre. "Situation Awareness: A Validation Study and Investigation of Individual Differences." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 12 (October 1996): 564–68. http://dx.doi.org/10.1177/154193129604001202.

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The first experiment found that varying the rate of road hazards in a personal-computer-based driving simulator had no effect on subjects' situation awareness, as measured in the simulator. Thus, setting a high rate of hazards does not distort subjects' situation awareness. In the second experiment, the situation awareness test was found to predict driving performance in a realistic simulator. Individual differences in situation awareness were correlated with working memory and psychomotor abilities.

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35

Yao, Hua, Suyang An, Huiping Zhou, and Makoto Itoh. "Driver takeover performance in conditionally automated driving: sudden system failure situation versus ODD exit situation." SICE Journal of Control, Measurement, and System Integration 14, no. 1 (January 1, 2021): 89–96. http://dx.doi.org/10.1080/18824889.2021.1913861.

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36

Kerik, L. I. "THE ROLE OF THE SITUATION IN THE STRUCTURE OF DRIVING TO SUICIDE MECHANISM." Theory and Practice of Forensic Science and Criminalistics 15 (November 30, 2016): 114–21. http://dx.doi.org/10.32353/khrife.2015.13.

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The article deals with the role of the situation in the structure of driving to suicide mechanism. The situation of driving to suicide is differentiated into stages of its development, the article also determines temporal connections of this crime and distinguishes types of driving to suicide places with the focus on the role of these elements in criminalistic characteristics of crimes as well as and their interconnections. A place of driving to suicide is a place, where preparations prior to the crime have been carried out, the crime had been committed (threats, cruel treatment, systematic humiliation of human dignity, blackmail); a place with traces and evidence of a criminal trespass (place of suicide); place of concealment of traces and evidence of the crime, instruments andfacilities of its commission, the object of a criminal trespass (staging of suicide, murder). The time of driving to suicide allows establishing the sequence and development of different processes. The situation of driving to suicide consists of non-interference and omission by individuals (relatives, colleagues, friends and others) in whose presence a criminal mistreats or humiliates the personal dignity of the victim.

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Wang, Xiaoyuan, Fang Wang, Dong Kong, Yaqi Liu, Liping Liu, and Chen Chen. "Driver’s Lane Selection Model Based on Phase-Field Coupling and Multiplayer Dynamic Game with Incomplete Information." Journal of Advanced Transportation 2018 (August 13, 2018): 1–16. http://dx.doi.org/10.1155/2018/2145207.

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Intelligent driving is an effective means to achieve the active safety of automobile, and the accurate prediction of vehicle group situation is the premise to achieve the intelligent driving of vehicle. Lane selection and lane changing are not only the most fundamental reasons for the transformation of vehicle group situation, but also the basic contents for the research on driver behavior of traffic flow theory. In this paper, with a view to the background of Internet of Things, the vehicle group situation was given a comprehensive consideration on the basis of the factors which influence driver’s behavior. The driver’s lane selection behavior was analyzed under the condition of incomplete information, and lane selection model based on phase-field coupling and multiplayer dynamic game with incomplete information was constructed considering the time-varying character of driving propensity. The means of actual driving experiment, virtual driving experiment, and microscopic simulation of traffic flow were used to verify the model. The verification results showed that the model built in this paper can objectively reflect the actual operation characteristic of traffic flow on road section and the process of lane selection. The theoretical basis of the research on lane selection can be provided for intelligent driving especially anthropomorphic driving under the condition of Internet of Things.

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38

Soliman, Abdrabo Moghazy. "Exploring the Central Executive in Situation Awareness." Psychological Reports 106, no. 1 (February 2010): 105–18. http://dx.doi.org/10.2466/pr0.106.1.105-118.

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Despite its significance, the central executive is the least explored component of working memory, particularly in complicated contexts. Exp. 1 investigated the role of executive control of working memory in situation awareness in a real-life driving simulation. Exp. 2 examined the extent to which taxing the central executive might affect situation awareness. High, Medium, and Low Situation Awareness groups were formed as assessed using the Situation Awareness Global Assessment Technique. Executive function was measured using several tests. Results from Exp. 1 demonstrated that the Low Situation Awareness group performed significantly worse on all executive function tasks compared to High and Medium Situation Awareness groups. Findings from Exp. 2 suggested that concurrent load on the central executive dramatically affected the Low Situation Awareness group but not the High Situation Awareness group: the former had significantly more driving violations under central executive load.

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Li, Yuan Hui, Kui Sheng Chen, Jiang Hong Deng, and Xin Yuan Chen. "The Research on Rake-Car’s Driving System of Ore Reclaimer." Applied Mechanics and Materials 300-301 (February 2013): 10–13. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.10.

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Rake-car’s driving system of ore reclaimer originally used crank and connecting rod mechanism as driving mechanism. The driving mechanism got some trouble that parts got severe wear and failure rate of mechanism was high. The hydraulic system is used to drive rake car in view of hydraulic driving system’s advantage. By analysis on existing problem of crank and connecting rod mechanism, the actual working load of equipment is tested and the working situation is analysed. The working situation of the hydraulic system is also analysed by computer simulation. By optimization of the hydraulic system design, the final design is determined. The whole system is actually used. It works well.

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Shinar, David. "Aggressive driving: the contribution of the drivers and the situation." Transportation Research Part F: Traffic Psychology and Behaviour 1, no. 2 (December 1998): 137–60. http://dx.doi.org/10.1016/s1369-8478(99)00002-9.

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Schömig, Nadja, and Barbara Metz. "Three levels of situation awareness in driving with secondary tasks." Safety Science 56 (July 2013): 44–51. http://dx.doi.org/10.1016/j.ssci.2012.05.029.

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Nigro, Jean-Marc, Sophie Loriette-Rougegrez, and Michèle Rombaut. "Driving situation recognition with uncertainty management and rule-based systems." Engineering Applications of Artificial Intelligence 15, no. 3-4 (June 2002): 217–28. http://dx.doi.org/10.1016/s0952-1976(02)00070-2.

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Mustapha, Rabi, Yuhanis Yusof, and Azizi Ab Aziz. "Computational Model of Situation Awareness for Decision Making in Driving." Advanced Science Letters 24, no. 2 (February 1, 2018): 1244–48. http://dx.doi.org/10.1166/asl.2018.10725.

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Schießl, C. "Subjective strain estimation depending on driving manoeuvres and traffic situation." IET Intelligent Transport Systems 2, no. 4 (2008): 258. http://dx.doi.org/10.1049/iet-its:20080024.

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Miyazaki, Akio, and Nobuhiro Yano. "A dual-nature model of sensation seeking in driving situation." Proceedings of the Annual Convention of the Japanese Psychological Association 79 (September 22, 2015): 2AM—008–2AM—008. http://dx.doi.org/10.4992/pacjpa.79.0_2am-008.

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INOUE, Kazuya, Yoshihiko YAGI, and Tadashi KIKUCHI. "PERCEPTUAL DISAPPEARANCE OF A VISUAL OBJECT IN A DRIVING SITUATION." PSYCHOLOGIA 54, no. 2 (2011): 87–95. http://dx.doi.org/10.2117/psysoc.2011.87.

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SUZUKI, Keisuke, and Kazunori KIKUCHI. "Analysis of situation awareness while driving with dniving assistance system." Proceedings of Conference of Tokai Branch 2004.53 (2004): 183–84. http://dx.doi.org/10.1299/jsmetokai.2004.53.183.

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Sonoda, Kohei, and Takahiro Wada. "Displaying System Situation Awareness Increases Driver Trust in Automated Driving." IEEE Transactions on Intelligent Vehicles 2, no. 3 (September 2017): 185–93. http://dx.doi.org/10.1109/tiv.2017.2749178.

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Ma, Ruiqi, and David B. Kaber. "Situation Awareness and Driving Performance in a Simulated Navigation Task." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 50, no. 3 (October 2006): 270–74. http://dx.doi.org/10.1177/154193120605000313.

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Ma, R., and D. B. Kaber. "Situation awareness and driving performance in a simulated navigation task." Ergonomics 50, no. 8 (August 2007): 1351–64. http://dx.doi.org/10.1080/00140130701318913.

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