Bibliografie tematiche / Driving

Letteratura scientifica selezionata sul tema "Driving"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 7 luglio 2024

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Articoli di riviste sul tema "Driving"

del Riego, Alissa`. "Driving Diverse Representation of Diverse Classes". University of Michigan Journal of Law Reform, n. 56.1 (2022): 67. http://dx.doi.org/10.36646/mjlr.56.1.driving.

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Why have federal courts overwhelmingly appointed white men to represent diverse consumer classes? Rule 23(g) of the Federal Rules of Civil Procedure requires courts to appoint the attorneys “best able to represent the interests of class members” to serve as class counsel. But courts’ recurrent conclusion that white men best fit the federally mandated job description not only gives the appearance of discrimination, but harms class members that suffer from outcomes plagued by groupthink and cognitive biases. This Article sets out to uncover why white male repeat players continue to dominate class counsel appointments and proposes a practical and immediately implementable solution for the judiciary to improve class counsel diversity. The Article examines all class action auto defect multidistrict litigation suits. By focusing on this subset of cases that span across five decades, it observes potential tendencies of certain courts (i.e., white, Republican-appointed, and female courts) to appoint white men and identifies different processes and criteria courts have implemented and considered that have resulted in the appointment of more female and minority attorneys. The Article finds, however, that the gender and racial gaps remain stark, largely because courts understandably place an almost dispositive value on attorneys’ prior experience serving as class counsel, a role white men have traditionally monopolized. It proposes a way to resolve this Catch-22 problem—a two-tier joint appointment structure that collectively evaluates the experience and diversity of counsel and removes the insurmountable entry barriers to the plaintiffs’ counsel class action bar.

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Berg, Simon, Back Tomas Ersson e Jussi Manner. "Distance driven and driving speed when forwarding during final felling in Central Sweden". Journal of Forest Science 65, No. 5 (31 maggio 2019): 183–94. http://dx.doi.org/10.17221/23/2019-jfs.

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Factors affecting forwarding work are interesting because they can be used to better optimize forwarding routes and to predict costs. The main objective of this study was to investigate the association between driving speed and driving distance when forwarding. Data was automatically collected during 2.5 years from two large forwarders operating during final felling in central Sweden. Driving speeds for the work tasks Driving unloaded, Loading drive and Driving loaded were analysed using correlation, least-squares regression, and quantile regression. The results showed that speed and distance were strongly correlated for the work element Driving unloaded, while the correlation was weaker for Loading drive and Driving loaded. Possible factors leading to these results are as follows: longer travelling distances stimulate better planning and the establishment of better extraction roads; operators may feel stressed and drive faster as travelling distance increases; and finally, the relative influence of accelerations and decelerations decreases with increasing driving distance. Also, the use of quantile regression was successful and provided information that normal least-squares regression does not provide.

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Channin, David S. "Driving Market-driven Engineering". Radiology 229, n. 2 (novembre 2003): 311–13. http://dx.doi.org/10.1148/radiol.2292031199.

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Unseld, Robert. "Driving or Being Driven". ATZelectronics worldwide 14, n. 9 (settembre 2019): 14–15. http://dx.doi.org/10.1007/s38314-019-0100-y.

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Yamabe, Shigeyuki, Rencheng Zheng, Kimihiko Nakano e Yoshihiro Suda. "2C25 Muscle Fatigue Comparison of Eco-driving and Normal Driving". Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _2C25–1_—_2C25–9_. http://dx.doi.org/10.1299/jsmemovic.2010._2c25-1_.

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T., Dr Manikandan. "Self Driving Car". International Journal of Psychosocial Rehabilitation 24, n. 5 (31 marzo 2020): 380–88. http://dx.doi.org/10.37200/ijpr/v24i5/pr201704.

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Jaworski, B., A. K. Kohli e A. Sahay. "Market-Driven Versus Driving Markets". Journal of the Academy of Marketing Science 28, n. 1 (1 gennaio 2000): 45–54. http://dx.doi.org/10.1177/0092070300281005.

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Al-Shalfan, Khalid A. "Auto Vehicle Driving Assistance". International Journal of Machine Learning and Computing 5, n. 5 (ottobre 2015): 392–98. http://dx.doi.org/10.7763/ijmlc.2015.v5.540.

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Vasile, Laurin, Barbara Seitz, Verena Staab, Magnus Liebherr, Christoph Däsch e Dieter Schramm. "Influences of Personal Driving Styles and Experienced System Characteristics on Driving Style Preferences in Automated Driving". Applied Sciences 13, n. 15 (31 luglio 2023): 8855. http://dx.doi.org/10.3390/app13158855.

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As automated driving technology continues to advance, the question of how users prefer to be driven in their new, more passive role is becoming increasingly relevant. In this paper, a real-world study on a German motorway with 42 participants was conducted to analyze driving style preferences for conditional automated driving, taking the participants’ personal driving style into account. In the first part, participants’ personal driving style (PDS) was recorded during a manual drive in the first half on a given route. For the second half, participants were asked to demonstrate their desired driving style (DDS) for conditional automated driving. In the second part, participants were driven on the same route in a defensive automated vehicle (AV) while rating driving comfort and safety. Subsequently, the relationship between driving style differences and ratings was analyzed. Furthermore, a comparison between PDS and DDS was performed. The results show that very defensive to moderate drivers perceived the AV’s driving style, being similar to their own, as equally safe but significantly more comfortable than moderate to very aggressive drivers. No influence of driving style differences was found on the increase in trust. However, a significant increase in trust after experiencing an automated vehicle has been observed. Furthermore, the rated system characteristics of anthropomorphism, safety, and overall driving strategy had a significant influence on driving style preferences for AVs. This study makes an important contribution to answering the question of how users want to be driven in conditional automated driving.

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Yu, C. C., J. R. Bochinski, T. M. V. Kordich, T. W. Mossberg e Z. Ficek. "Driving the driven atom: Spectral signatures". Physical Review A 56, n. 6 (1 dicembre 1997): R4381—R4384. http://dx.doi.org/10.1103/physreva.56.r4381.

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Tesi sul tema "Driving"

Selander, Helena. "Driving assessment and driving behaviour". Doctoral thesis, Hälsohögskolan, Högskolan i Jönköping, HHJ. Åldrande - livsvillkor och hälsa, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-19841.

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Introduction Driving is an important part of everyday life and represents independence. Activities, both productive and social, may be affected if a person can no longer drive. Older drivers, as a group, have a low crash rate. On the other hand, driving may be affected by medical conditions in this group, for example dementia or stroke, which often call into question a person’s fitness to drive. However, there are older drivers who may benefit from compensatory strategies to prevent driving cessation. Aim The aim of the thesis was to examine driving assessments methods, both off-and on-road tests, and if an intervention may improve driving behaviour for older adults. The specific aims were to: examine how occupational therapists (OTs) are involved in driving assessments in Sweden, what methods are used and how these assessments are performed; determine whether the commonly used cognitive test battery, the NorSDSA, could predict an on-road test results for stroke and cognitive deficits/dementia participants; investigate driving errors characteristic in older drivers without cognitive impairments and identify relationships between off-road and on-road tests results; investigate whether automatic transmission, compared with manual transmission, may improve driving behaviour of older and younger drivers. Methods In Study I, a questionnaire was sent to 154 geriatric, rehabilitation and neurological clinics and additionally directly to 19 OTs. In Study II, data consisted of test results from 195 clients who had completed a fitness to drive assessment. In Study III, 85 older volunteer drivers were assessed regarding their vision, cognition and driving behaviour. In Study IV, 31 older drivers and 32 younger drivers were assessed twice on the same fixed route; once in a car with manual transmission and once in a car with automatic transmission. Results Driving assessments were carried out by OTs in various manners and diverse methods were used. Most OTs used off-road tests; tests developed specifically for driving assessments or un-standardised activity assessments. Even though few off-road tests can predict driving performance, only 19 % of the OTs used on-road test. The off-road test NorSDSA could neither predict an outcome of an on-road test for stroke clients, nor for cognitive deficits/dementia clients. Some of the older volunteer drivers displayed questionable driving behaviour, although they were fit to drive and a total of 21 % failed the on-road test. Using automatic instead of manual transmission was shown to improve older, but not younger drivers’ driving behaviour. Conclusions For OTs in Sweden, driving assessments are challenging, since there are no specified guidelines regarding the appropriate assessment tools. Assessors often solely rely on cognitive test(s) when assessing their clients. NorSDSA should not be used as a stand-alone test when determining fitness to drive. The lack of guidelines can be problematic for OTs, but also for the clients, since there is a risk that they do not receive a valid and reliable assessment. To perform these kinds of assessments there is a need for specialised training. On-road assessments are seen as the gold standard but that standard needs to encompass driving problems or errors that are “normal” driving behaviours in older persons. To switch from manual to automatic transmission may be a way to assist older drivers to continue driving and maintain the quality of their transport mobility.

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Ahmadi, Lina. "Green Driving Application : Eco Driving". Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-30351.

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Eco-driving has acquired great importance in recent years because it is a way to reduce energy consumption that can be applied to any type of vehicle. However, for these rules to be applied requires a process of continuous learning and motivation. For this reason many eco-driving assistants have emerged. This paper presents Green Driving, a driver safety app for Android that detects inattentive driving behaviors and gives corresponding feedback to drivers, scoring their driving and alerting them in case their behaviors are unsafe. It’s about changing a person’s driving behavior by providing some kind of advice to the driver. I have worked on an algorithm that is meant to reduce the fuel consumption of users. The algorithm is deployed in an android application. This application “Green Driving” is aimed at users with cars. It is basically like an assistant, suggesting the user when he should make the right gear changes, when to increase/decrease speed and avoids hard braking and rapid acceleration and etc. It is in order to drive economically, ecologic and in turn save money and safety. This is a smart way of letting a user drive economically and ecologic since almost everyone has an Android smartphone now.

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Ozatay, Engin. "Driving Profile Optimization for Everyday Driving". The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408915508.

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Fang, Youjia. "Modeling Driving Risk Using Naturalistic Driving Study Data". Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/65151.

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Motor vehicle crashes are one of the leading causes of death in the United States. Traffic safety research targets at understanding the cause of crash, preventing the crash, and mitigating crash severity. This dissertation focuses on the driver-related traffic safety issues, in particular, on developing and implementing contemporary statistical modeling techniques on driving risk research on Naturalistic Driving Study data. The dissertation includes 5 chapters. In Chapter 1, I introduced the backgrounds of traffic safety research and naturalistic driving study. In Chapter 2, the state-of-practice statistical methods were implemented on individual driver risk assessment using NDS data. The study showed that critical-incident events and driver demographic characteristics can serve as good predictors for identifying risky drivers. In Chapter 3, I developed and evaluated a novel Bayesian random exposure method for Poisson regression models to account for situations where the exposure information needs to be estimated. Simulation studies and real data analysis on Cellphone Pilot Analysis study data showed that, random exposure models have significantly better model fitting performances and higher parameter coverage probabilities as compared to traditional fixed exposure models. The advantage is more apparent when the values of Poisson regression coefficients are large. In Chapter 4, I performed comprehensive simulation-based performance analyses to investigate the type-I error, power and coverage probabilities on summary effect size in classical meta-analysis models. The results shed some light for reference on the prospective and retrospective performance analysis in meta-analysis research. In Chapter 5, I implemented classical- and Bayesian-approach multi-group hierarchical models on 100-Car data. Simulation-based retrospective performance analyses were used to investigate the powers and parameter coverage probabilities among different hierarchical models. The results showed that under fixed-effects model context, complex secondary tasks are associated with higher driving risk.
Ph. D.

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Mak, Chin-ho, e 麥展豪. "From drunk driving to drink driving in Hong Kong". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31978605.

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Yedavelly, Divya. "PERFORMANCE EXHIBITED BY DRIVING SIMULATION PARTICIPANTS UNDER PROLONGED DRIVING". Cleveland State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=csu1507899307603164.

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Mak, Chin-ho. "From drunk driving to drink driving in Hong Kong". Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20731656.

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Golshani, Nima. "Analysis of aggressive driving behavior| A driving simulation study". Thesis, State University of New York at Buffalo, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1600753.

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Aggressive driving behavior is the cause of a large percentage of accidents and fatalities, and it is growing every year. In several cases some drivers perceive their driving as non-aggressive when in fact they drive aggressively. To investigate factors affecting perceived (self-reported) and observed (based on the data from a driving simulation experiment) aggressive driving behavior, four fixed effect bivariate ordered probit models for three categories of aggressive driving behavior (i.e., observed and perceived non-aggressive, somewhat aggressive and very aggressive driving) are estimated. The models simultaneously account for panel data effects and cross equation error correlation. To further address unobserved heterogeneity, six grouped random parameter bivariate probit models for two outcomes (observed and perceived non-aggressive and aggressive driving) are estimated. Each model type is estimated using different barriers as driving behavior separators (either physical barriers in the distribution, or basic statistical measures). The results show that different socio-demographic characteristics, driving experience and exposure, and behavioral information of the participants affect the observed and the perceived aggressive driving behavior. The proposed approach, as a whole, provides an incremental step towards better understanding the different factors that affect the observed and the perceived aggressive driving behavior.

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Tsegay, Haftom Tesfay. "Vibration caused by sheet pile driving- effect of driving equipment". Thesis, KTH, Jord- och bergmekanik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239138.

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In many construction works in urban areas vibratory driving is the most widely used technique toinstall sheet piles. But due to vibration-sensitive equipment and structures the amount of inducedground vibration need to be minimized. Hence, it is important to select appropriate vibratorparameters that will minimize the level of induced ground vibration.The main objective of this thesis is to study the effect of the vibratory parameter eccentricmoment (vibrator displacement amplitude) on the induced ground vibration during sheet piledriving. To achieve the objective, a literature review and a full-scale field test has beenconducted. The literature review was conducted to provide guidance for the evaluation of thefield test results.The field study was performed in Uppsala in June 2018, where a series of six sheet pile drivingtests were conducted, the first three sheet piles were driven with lower vibrator displacementamplitude and the next three with higher vibrator displacement amplitude, but the same drivingfrequency was used for all six sheet piles. Five tri-axial accelerometers were used to measure thevibration amplitude on vibrator, sheet pile and ground.Important findings of the field study confirmed that, driving sheet piles with higher eccentricmoment will induce lower ground vibration and higher sheet pile penetration speed incomparison to driving with lower eccentric moment. Limitations and possible future researchworks are pointed out.
I många byggnadsarbeten i tätorter är vibrerade drivning den mest använda tekniken för attinstallera sponter. Men på grund av vibrationskänslig utrustning och konstruktioner måstemängden inducerad markvibration minimeras. Därför är det viktigt att välja lämpligavibratorparametrar som minimerar graden av inducerad markvibration.Huvudsyftet med detta examensarbete är att studera effekten av vibrationsparameternsexcentriskamoment (vibratorförskjutningsamplituden) på den inducerade markvibrationen underspontdrivning. För att uppnå målet har en litteraturöversikt och en fullskalig fältundersökning utförts. Litteraturstudien genomfördes för att ge underlag för utvärderingen av fältundersökningenresultanten.Fältstudien utfördes i Uppsala i juni 2018, där en serie av sex spontdrivnings test utfördes, deförsta tre sponten kördes med lägre vibrator-förskjutningsamplitud och de närmaste tre medhögre vibrator-förskjutningsamplitud, men samma körfrekvens användes för alla sex sponter.Fem treaxiala accelerometrar användes för att mäta vibrationsamplituden på vibratorn, spontenoch jorden.Slutsatserna från fältstudien bekräftade att körsponter med högre excentriskt moment kommer attinducera lägre vibrationer och högre penetrationshastighet för sponten i jämförelse med körningmed lägre excentriskt moment. Begränsningar och möjliga framtida forskningsarbeten påpekas.

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Mabbott, Nicholas. "Monitoring device for early warning signs of operator fatigue in open cut mines /". Access via Murdoch University Digital Theses Project, 2006. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20060809.93310.

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Libri sul tema "Driving"

Nick, Lynch, Wood Alex e Driving Standards Agency, a cura di. The driving manual: Driving skills. London: HMSO, 1992.

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Rau, Dana Meachen. Driving. New York: Marshall Cavendish Benchmark, 2006.

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Engdahl, Sylvia. Driving. Farmington Hills, Mich: Greenhaven Press, a part of Gale, Cengage Learning, 2014.

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Driving. Southampton: Ashford Press, 1986.

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Better driving. London: Teach Yourself, 2007.

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E, Williams Mary. Teen driving. Detroit: Greenhaven Press, a part of Gale, Cengage Learning, 2014.

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Stunt driving. Philadelphia: Chelsea House Publishers, 2006.

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Drunk driving. Detroit: Greenhaven Press, 2013.

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Driving force. London: Robson, 1990.

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Francis, Dick. Driving force. London: BCA, 1992.

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Capitoli di libri sul tema "Driving"

Kohl, Kristina. "Driving Data-Driven Decisions". In Driving Justice, Equity, Diversity, and Inclusion, 297–332. New York: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9781003168072-11.

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Pheasant, Stephen. "Driving". In Ergonomics, Work and Health, 253–60. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-21671-0_14.

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Crompton, Simon. "Driving". In The Carers Guide, 201–2. London: Palgrave Macmillan UK, 1994. http://dx.doi.org/10.1007/978-1-349-13869-2_86.

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Barras, Christina. "Driving". In Psychiatry: Breaking the ICE, 203–7. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118557211.ch32.

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Cummings, Kelly, e Helen Fernandez. "Driving". In Geriatric Practice, 335–44. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19625-7_27.

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Stacey, Ginny, e Sally Fowler. "Driving". In Gaining Knowledge and Skills with Dyslexia and other SpLDs, 478–91. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series: Living confidently with specific learning difficulties (SpLD) ; book 3: Routledge, 2021. http://dx.doi.org/10.4324/9781315461137-14.

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Anderson, Robert M. "Driving". In Critical Issues in Neuropsychology, 182–83. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2480-9_29.

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Arioui, Hichem, e Lamri Nehaoua. "Driving Simulation". In Driving Simulation, 1–17. Hoboken, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118648636.ch1.

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Deatherage, Robert H. "Driving Basics". In Survival Driving, 57–68. 2^a ed. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.4324/9781003093961-11.

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Hammoud, Ahmad, Azzam Mourad, Hadi Otrok e Zbigniew Dziong. "Data-Driven Federated Autonomous Driving". In Mobile Web and Intelligent Information Systems, 79–90. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14391-5_6.

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Atti di convegni sul tema "Driving"

Chen, Jingren, Yefu Wu, Haojun Huang, Bing Wu e Guolin Hou. "Driving-Data-Driven Platform of Driving Behavior Spectrum for Vehicle Networks". In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2018. http://dx.doi.org/10.1109/hpcc/smartcity/dss.2018.00099.

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Mestre, Daniel R., Franck Mars, Sylvian Durand, Fabrice Vienne e Stéphane Espié. "Gaze Behavior During Simulated Driving: Elements for a Visual Driving Aid". In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2005. http://dx.doi.org/10.17077/drivingassessment.1177.

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Rowland, Bevan, Jeremy Davey, James Freeman e Darren Wishart. "Implementation of a Driving Diary Intervention to Reduce Aberrant Driving Behaviours". In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2009. http://dx.doi.org/10.17077/drivingassessment.1356.

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Vanderbilt, Tom. "Traffic: Why We Drive the Way We Do (and What It Says About Us)". In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2009. http://dx.doi.org/10.17077/drivingassessment.1294.

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Nawrot, Mark. "Depth Perception in Driving: Alcohol Intoxication, Eye Movement Changes, and the Disruption of Motion Parallax". In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2001. http://dx.doi.org/10.17077/drivingassessment.1012.

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Mestre, Daniel R. "Dynamic Evaluation of the Useful Field of View in Driving". In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2001. http://dx.doi.org/10.17077/drivingassessment.1045.

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Stanley, Laura M. "Driver Performance While Interacting with the 511 Travel Information System in Urban and Rural Traffic". In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2005. http://dx.doi.org/10.17077/drivingassessment.1202.

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Moller, Henry J. "Broad-Spectrum Clinical Applications of a Low-Fidelity Simulator: Emphasis on Functional Impairment". In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2007. http://dx.doi.org/10.17077/drivingassessment.1225.

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Ward, Nicholas J., e Karel Brookhuis. "Recent European Projects on Driver Impairment". In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2001. http://dx.doi.org/10.17077/drivingassessment.1047.

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Gray, Rob, e Russ Branaghan. "Changing Driver Behavior Through Unconscious Stereotype Activation". In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2009. http://dx.doi.org/10.17077/drivingassessment.1309.

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Rapporti di organizzazioni sul tema "Driving"

Sloan, Frank. Drinking and Driving. Cambridge, MA: National Bureau of Economic Research, febbraio 2020. http://dx.doi.org/10.3386/w26779.

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Marcum, Deanna, e Roger Schonfeld. Driving With Data. New York: Ithaka S+R, maggio 2014. http://dx.doi.org/10.18665/sr.24857.

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Goto, Yoshimasa, Steven A. Shafer e Anthony Stentz. The Driving Pipeline: A Driving Control Scheme for Mobile Robots. Fort Belvoir, VA: Defense Technical Information Center, giugno 1988. http://dx.doi.org/10.21236/ada199666.

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Nakatsuka, Fuyuki, Shuji Watanabe, Taro Sekine, Michiharu Okano, Youji Shimizu, Yuji Takada e Osamu Shimoyama. Event-Driven Model on Driving Behavior in the Left Turn. Warrendale, PA: SAE International, settembre 2005. http://dx.doi.org/10.4271/2005-08-0621.

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Hooker, Reece. Driving towards Dubai's COP28. Monash University, ottobre 2023. http://dx.doi.org/10.54377/b732-ce7b.

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Mineyama, Takuyuki, Katsuya Matsunaga, Kazunori Shidoji e Yuji Matsuki. Education to Reduce Hasty Driving. Warrendale, PA: SAE International, settembre 2005. http://dx.doi.org/10.4271/2005-08-0425.

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Qi, Yan, Ravali Vennu e Roshan Pokhrel. Distracted Driving: A Literature Review. Illinois Center for Transportation, aprile 2020. http://dx.doi.org/10.36501/0197-9191/20-005.

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Castellani, Luca, e Carmen Maria Ramirez Ortiz. Driving Digitalization of Global Trade. Manila, Philippines: Asian Development Bank, dicembre 2023. http://dx.doi.org/10.22617/brf230576-2.

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Whited, Tammy. Driving Strategic Alliance — with Best Practices. Office of Scientific and Technical Information (OSTI), maggio 2018. http://dx.doi.org/10.2172/1460566.

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Albus, James, John Evans, Craig Schlenoff, Tony Barbera, Elena Messina e Stephen Balakirsky. Achieving intelligent performance in autonomous driving. Gaithersburg, MD: National Institute of Standards and Technology, 2003. http://dx.doi.org/10.6028/nist.ir.7166.

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