Relevant bibliographies by topics / Driving range

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Driving range'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Driving range"

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Baldomero, Arianne K., Paula K. Skarda, and John J. Marini. "Driving Pressure: Defining the Range." Respiratory Care 64, no. 8 (May 14, 2019): 883–89. http://dx.doi.org/10.4187/respcare.06599.

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Aaron Peysack. "At the All-Night Driving Range." Antipodes 28, no. 2 (2014): 451. http://dx.doi.org/10.13110/antipodes.28.2.0451.

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Gruber. "Gefährdung durch Driving-Range eines Golfplatzes." Wirtschaftsrechtliche Blätter 22, no. 7 (July 2008): 351. http://dx.doi.org/10.1007/s00718-008-1190-0.

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Tian, Le, Lijian Wu, Xiaoyan Huang, and Youtong Fang. "Driving range parametric analysis of electric vehicles driven by interior permanent magnet motors considering driving cycles." CES Transactions on Electrical Machines and Systems 3, no. 4 (December 2019): 377–81. http://dx.doi.org/10.30941/cestems.2019.00049.

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Pai, Sravan, and M. R. Sindhu. "Intelligent driving range predictor for green transport." IOP Conference Series: Materials Science and Engineering 561 (November 12, 2019): 012110. http://dx.doi.org/10.1088/1757-899x/561/1/012110.

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Basu, Urna, Pierre de Buyl, Christian Maes, and Karel Netočný. "Driving-induced stability with long-range effects." EPL (Europhysics Letters) 115, no. 3 (August 1, 2016): 30007. http://dx.doi.org/10.1209/0295-5075/115/30007.

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Müller, Helfried, Axel-Oscar Bernt, Patrick Salman, and Alexander Trattner. "Fuel cell range extended electric vehicle fcreev long driving ranges without emissions." ATZ worldwide 119, no. 5 (April 28, 2017): 56–60. http://dx.doi.org/10.1007/s38311-017-0033-0.

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Zherdev, A. V. "Value range of solutions to the chordal Loewner equation with restriction on the driving function." Issues of Analysis 26, no. 2 (June 2019): 92–104. http://dx.doi.org/10.15393/j3.art.2019.6270.

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Steinstraeter, Matthias, Marcel Lewke, Johannes Buberger, Tobias Hentrich, and Markus Lienkamp. "Range Extension via Electrothermal Recuperation." World Electric Vehicle Journal 11, no. 2 (May 25, 2020): 41. http://dx.doi.org/10.3390/wevj11020041.

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One of the decisive reasons for the slow market penetration of electric vehicles is their short driving range, especially in cold temperatures. The goal of this paper was to increase the driving range in cold temperatures. Electric vehicles recover kinetic energy by recuperation and storage in the battery. However, if the battery is fully charged or cold, the option of recuperation is severely limited. Braking energy is dissipated into the environment via the mechanical brake, and the range thus decreases. Electrothermal recuperation (ETR) enables the braking power to be used in heater systems and thus saves energy in the overall system. In this paper, ETR was investigated with a highly responsive serial layer heater. An overall model consisting of the electric powertrain, the heating circuit, and the vehicle interior was developed and validated. The limitations of recuperation capability were determined from driving tests. The factors state of charge and battery temperature were varied in the conducted simulations in order to quantify the range increase through ETR. The results showed that the range could be increased via electrothermal recuperation by up to 8% at −10 °C in a real driving cycle, using a serial heater. A control strategy of the heating circuit enabled the coolant circuit to function as buffer storage. The interior temperature—and consequently user comfort—remained unchanged.
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Pan, Chaofeng, Wei Dai, Liao Chen, Long Chen, and Limei Wang. "Driving range estimation for electric vehicles based on driving condition identification and forecast." AIP Advances 7, no. 10 (October 2017): 105206. http://dx.doi.org/10.1063/1.4993945.

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Dissertations / Theses on the topic "Driving range"

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Hillgren, Patrik. "Geometric Scene Labeling for Long-Range Obstacle Detection." Thesis, Linköpings universitet, Datorseende, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113126.

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Autonomous Driving or self driving vehicles are concepts of vehicles knowing their environment and making driving manoeuvres without instructions from a driver. The concepts have been around for decades but has improved significantly in the last years since research in this area has made significant progress. Benefits of autonomous driving include the possibility to decrease the number of accidents in traffic and thereby saving lives. A major challenge in autonomous driving is to acquire 3D information and relations between all objects in surrounding traffic. This is referred to as \textit{spatial perception}. Stereo camera systems have become a central sensor module for advanced driver assistance systems and autonomous driving. For object detection and measurements at large distances stereo vision encounter difficulties. This includes objects being small, having low contrast and the presence of image noise. Having an accurate perception of the environment at large distances is however of high interest for many applications, especially autonomous driving. This thesis proposes a method which tries to increase the range to where generic objects are first detected using a given stereo camera setup. Objects are represented by planes in 3D space. The input image is segmented into the various objects and the 3D plane parameters are estimated jointly. The 3D plane parameters are estimated directly from the stereo image pairs. In particular, this thesis investigates methods to introduce geometric constraints to the segmentation or labeling task, i.e assigning each considered pixel in the image to a plane. The methods provided in this thesis show that despite the difficulties at large distances it is possible to exploit planar primitives in 3D space for obstacle detection at distances where other methods fail.
En autonom bil innebär att bilen har en uppfattning om sin omgivning och kan utifran det ta beslut angående hur bilen ska manövreras. Konceptet med självkörande bilar har existerat i årtionden men har utvecklats snabbt senaste åren sedan billigare datorkraft finns lättare tillgänglig. Fördelar med autonomiska bilar innebär bland annat att antalet olyckor i trafiken minskas och därmed liv räddas. En av de största utmaningarna med autonoma bilar är att få 3D information och relationer mellan objekt som finns i den omgivande trafikmiljön. Detta kallas för spatial perception och innebär att detektera alla objekt och tilldela en korrekt postition till dem. Stereo kamerasystem har fått en central roll för avancerade förarsystem och autonoma bilar. För detektion av objekt på stora avstånd träffar stereo system på svårigheter. Detta inkluderar väldigt små objekt, låg kontrast och närvaron av brus i bilden. Att ha en ackurativ perception på stora avstånd är dock vitalt för många applikationer, inte minst autonoma bilar. Den här rapporten föreslar en metod som försöker öka avståndet till där objekt först upptäcks. Objekt representeras av plan i 3D rymden. Bilder givna från stereo par segmenteras i olika object och plan parametrar estimeras samtidigt. Planens parametrar estimeras direkt från stereo bild paren. Den här rapporten utreder metoder att introducera gemoetriska begränsningar att använda vid segmenteringsuppgiften. Metoderna som presenteras i denna rapport visar att trots den höga närvaron av brus på stora avstånd är det möjligt att estimera geometriska objekt som är starka nog att möjliggöra detektion av objekt på ett avstand där andra metoder misslyckas.
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Tieleman, Olivier. "Ultracold atoms in optical lattices with long-range interactions and periodic driving." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/117025.

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This thesis contains theoretical research on ultracold quantum gases in spatially periodic potentials, featuring high-frequency periodic driving, long-range interactions, or both. The largest part features deep potentials where the behaviour of the gas is well-described by quantum lattice models. The periodic driving is then integrated out to obtain effective time-independent descriptions. One project investigates emergent long-range interactions in a stationary, weak, spatially periodic potential, where a lattice theory is not appropriate.In two short introductory chapters, the topics of ultracold atoms, optical lattice potentials, periodic driving, and long-range interactions, are sketched, without attempting to give a complete overview. Some experimentally relevant length and energy scales are given, but the main focus is on deriving and constructing theoretical descriptions of ultracold gases in various spatially and/or temporally periodic potentials.The first project presented, is focused on how the single-particle spectrum of a Bose gas in a non-separable two-dimensional square lattice is affected by high-frequency periodic driving; the most striking conclusion is that under suitable circumstances, it develops two inequivalent minima, leading to finite-momentum Bose-Einstein condensation. Perturbative calculations indicate that local interactions induce spontaneous time-reversal symmetry breaking (TRSB) in such a system.The second project investigates the interplay between kinetic frustration and long-range interactions in fermionic gases. Both a mean-field approximation and exact diagonalisations predict that such a system, studied in the more specific realisation of a weakly interacting dipolar fermionic gas in a 2D triangular lattice, also leads to spontaneous TRSB. Furthermore, a density wave could form at quarter filling, where the Fermi surface is perfectly nested. Perhaps more interesting yet, a spatially inhomogeneous TRSB pattern is predicted, confined to the low-density sublattice that emerges in the density wave.The third project revolves around the question of supersolidity in the presence of a gauge field. Applying the Bogolyubov approximation to a variation of the extended Bose-Hubbard model, indicates that combining an artificial staggered magnetic field in a 2D square lattice with nearest-neighbour density-density interactions, not only leads to a supersolid with staggered vortices, but also induces an inhomogeneous distribution of the associated currents around the elementary plaquette.In the fourth project, a one-dimensional Bose gas with strong local interactions in a weak lattice at incommensurate densities is shown to feature excitations corresponding to excess or deficit particles. The excitations interact repulsively at long distances, in spite of the fact that the underlying atoms themselves do not. As a consequence, the incommensurability of the density with the lattice can drive a transition to a density wave and even a supersolid.The four above-mentioned research projects combine bosonic and fermionic gases, weak and strong interactions, perturbative and mean-field approximations, effective field theories and exact diagonalisations. The main overall conclusion is that long-range interactions and high-frequency periodic driving lead to a very diverse range of fascinating phenomena in ultracold lattice gases.
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Plötz, Patrick, Niklas Jakobsson, and Frances Sprei. "On the distribution of individual daily driving distances." Elsevier, 2017. https://publish.fid-move.qucosa.de/id/qucosa%3A72184.

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Plug-in electric vehicles (PEV) can reduce greenhouse gas emissions. However, the utility of PEVs, as well as reduction of emissions is highly dependent on daily vehicle kilometres travelled (VKT). Further, the daily VKT by individual passenger cars vary strongly between days. A common method to analyse individual daily VKT is to fit distribution functions and to further analyse these fits. However, several distributions for individual daily VKT have been discussed in the literature without conclusive decision on the best distribution. Here we analyse three two-parameter distribution functions for the variation in daily VKT with four sets of travel data covering a total of 190,000 driving days and 9.5 million VKT. Specifically, we look at overall performance of the distributions on the data using four goodness of fit measures, as well as the consequence of choosing one distribution over the others for two common PEV applications: the days requiring adaptation for battery electric vehicles and the utility factor for plug-in hybrid electric vehicles. We find the Weibull distribution to fit most vehicles well but not all and at the same time yielding good predictions for PEV related attributes. Furthermore, the choice of distribution impacts PEV usage factors. Here, the Weibull distribution yields reliable estimates for electric vehicle applications whereas the log-normal distribution yields more conservative estimates for PEV usage factors. Our results help to guide the choice of distribution for a specific research question utilising driving data and provide a methodological advancement in the application of distribution functions to longitudinal driving data.
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Sandberg, Staffan. "How do battery electric vehicle drivers behave in a range critical situation in VR when using a "guess-o-meter" vs a novel range management tool?" Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281696.

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Battery electric vehicles are becoming more common but still fall behind combustion engine cars in terms of driving range and charging time. The displayed driving range in electric vehicles' dashboard can be a volatile parameter suddenly dropping by 10-20\%, for instance when speed is increased. Which can result in a condition referred to as range anxiety . Hence it is interesting to observe more in detail how drivers behave and think in scenarios where range is important and the cars' available range can change drastically depending on the drivers driving style. Such scenarios are problematic to test in real traffic for practical and ethical reasons. In this article, without putting anyone at risk, we present a study using a VR driving simulator in a critical scenario with a substantial risk of running out of battery. Two separate groups (N=10) each drove on the same test track using two different range displays. One group had a typical range display showing the distance left to empty (out of battery) and the other group a novel and more transparent display. The novel display shows how speed is affecting the range. Both displays allow the driver to set a target driving range. The results indicate that the novel display allows for a more agile and adaptive driving style by changing between specific speeds rather than searching and "guessing" which speed is the most optimal as with typical range displays. Although, it can hide other affecting factors, such as acceleration and road height. Which was more prevalent amongst drivers who had to search and guess.
Batterielbilar blir allt vanligare men når inte riktigt upp till samma nivå som bilar med förbränningsmotorer när det handlar om räckvidd och laddtid. Den kvarstående körsträckan som visas i elbilars instrumentpanel kan vara en instabil variabel och plötsligt sjunka med 10-20%, när man till exempel ökar hastigheten. Vilket kan leda till ett tillstånd som kallas räckviddsångest . Därav intresset för att undersöka i detalj hur förare agerar och tänker i scenarier där räckvidd är extra viktigt och bilens kvarstående körsträcka kan ändras drastiskt beroende på körstil. Sådana scenarier är problematiska att testa ute i trafiken av både praktiska och etiska skäl. I denna artikel, utan att placera någon i en verklig riskfylld situation, presenterar vi en studie där en bilsimulator i VR används för att testa ett kritiskt scenario där risken för att strömmen tar slut är stor. Två separata grupper (N=10) körde samma sträcka fast med olika instrumentpaneler. Där den ena är mer konventionell och endast visar kvarstående körsträcka. Medan den andra är mer originell och visar hur hastighet påverkar kvarstående körsträcka. Båda instrumentpanelerna tillåter föraren att ställa in hur långt man vill köra. Resultaten indikerar på att den originella instrumentpanelen tillåter en mer agil och adaptiv körstil, genom att byta mellan specifika hastigheter istället för att leta och gissa vilken hastighet som är optimal, vilket skedde med den konventionella instrumentpanelen. Men den kan även dölja andra faktorer som påverkar körsträckan, såsom acceleration och höjdskillnader. Vilket  användare av den originella instrumentbrädan noterade i större utsträckning.
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Zhang, Ao. "Object Detection from FMCW Radar Using Deep Learning." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42512.

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Sensors, as a crucial part of autonomous driving, are primarily used for perceiving the environment. The recent deep learning development of different sensors has demonstrated the ability of machines recognizing and understanding their surroundings. Automotive radar, as a primary sensor for self-driving vehicles, is well-known for its robustness against variable lighting and weather conditions. Compared with camera-based deep learning development, Object detection using automotive radars has not been explored to its full extent. This can be attributed to the lack of public radar datasets. In this thesis, we collect a novel radar dataset that contains radar data in the form of Range-Azimuth-Doppler tensors along with the bounding boxes on the tensor for dynamic road users, category labels, and 2D bounding boxes on the Cartesian Bird-EyeView range map. To build the dataset, we propose an instance-wise auto-annotation algorithm. Furthermore, a novel Range-Azimuth-Doppler based multi-class object detection deep learning model is proposed. The algorithm is a one-stage anchor-based detector that generates both 3D bounding boxes and 2D bounding boxes on Range-AzimuthDoppler and Cartesian domains, respectively. Our proposed algorithm achieves 56.3% AP with IOU of 0.3 on 3D bounding box predictions, and 51.6% with IOU of 0.5 on 2D bounding box predictions. Our dataset and the code can be found at https://github.com/ZhangAoCanada/RADDet.git.
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Myška, Miroslav. "Design robotického sběrače golfových míčků." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-231967.

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The main aim of this master's thesis is create golf ball picker with charging station. These two components create the system, which automates process of golf ball collection on driving range. The robot replaces human manual activity in this branch and it eliminates injury. On the other hand, robot respects functional, psychological, ecological and aesthetic demands. It demarcates standard principles of these days and new way how to collect balls on driving range.
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Oliva, Alonso Javier Antonio Verfasser], Torsten [Akademischer Betreuer] [Bertram, and Walter [Gutachter] Sextro. "Model-based prognostics for energy-constrained mobile systems operating in stochastic environments : Applied to the remaining driving range estimation of electric vehicles / Javier Antonio Oliva Alonso ; Gutachter: Walter Sextro ; Betreuer: Torsten Bertram." Dortmund : Universitätsbibliothek Dortmund, 2017. http://d-nb.info/1136471634/34.

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Oliva, Alonso Javier Antonio [Verfasser], Torsten [Akademischer Betreuer] Bertram, and Walter [Gutachter] Sextro. "Model-based prognostics for energy-constrained mobile systems operating in stochastic environments : Applied to the remaining driving range estimation of electric vehicles / Javier Antonio Oliva Alonso ; Gutachter: Walter Sextro ; Betreuer: Torsten Bertram." Dortmund : Universitätsbibliothek Dortmund, 2017. http://d-nb.info/1136471634/34.

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Dula, Chris S. "Validity and Reliability Assessment of a Dangerous Driving Self-Report Measure." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/26606.

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The Dula Dangerous Driving Index (DDDI) was created to measure drivers' self-reported propensity to drive dangerously (Dula & Ballard, in press). In the early stages of development, the DDDI and each of its subscales (Dangerous Driving Total, Aggressive Driving, Negative Emotional Driving, and Risky Driving) were found to have strong internal reliability (alphas from .83 to .92), and there was evidence of construct validity. In Study One, the alpha coefficient of .91 for the DDDI Total scale indicated excellent internal reliability for the measure and good internal reliability was demonstrated for its subscales with coefficient alphas equal to .81 for the DDDI Risky Driving subscale, .79 for the DDDI Negative Emotional subscale, and the DDDI Aggressive Driving subscale. Additionally, convergent and divergent validity was shown for the DDDI, but evidence was weaker for the validity of the separate subscales. Factor analysis demonstrated that the DDDI seemed to measure a unitary construct. In Study Two, coefficients of stability were generated from a four-week test-retest procedure, which were .76 for the DDDI Risky Driving subscale, .68 for the DDDI Negative Emotional subscale, .55 for the DDDI Aggressive Driving subscale, and .73 for the DDDI Total. In Study Three, the percentage of variance accounted for in criterion variables by different models ranged from 13.6% to 47.7%, where the DDDI Negative Emotional and DDDI Total scales frequently accounted for large portions of variance. In Study Four, the percent of variance accounted for in criterion variables by different models ranged from 22.0% to 65.6%, where some of the DDDI scales were regularly found to account for significant variance. Thus, it was concluded that the DDDI is a measure with high levels of internal reliability and reasonable stability across time, and that face, construct, and predictive validity was demonstrated. However, the evidence in support of the present division of subscales was weak, though present. Therefore, should further data fail to produce more substantial evidence for the validity of the DDDI subscales, a singular dangerous driving measure would be warranted, and the number of items should be shortened as guided by results from factorial analysis.
Ph. D.
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Teräsvirta, Jukka. "Tendency to Aggressive Driving and Road Rage : Identifying Drivers Prone to Aggressive Driving and Road Rage in Motor Vehicle Traffic in Sweden." Thesis, Stockholms universitet, Psykologiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-63803.

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In the present study possible associations between driver characteristics and aggressive driving were examined. 210 participants responded to a questionnaire consisting of self-report measures of emotion regulation ability, personality traits, and attitudes towards traffic behaviours in a Swedish translation of the Propensity for Angry Driving Scale (PADS). The main results showed that females, older age, agreeableness, openness, and social desirability were negatively correlated with angry driving behaviour as measured by the PADS. Impulsivity, attention seeking, trait irritability, verbal trait aggression, positive attitude towards speeding, and a high self-reported car manoeuvring ability were positively correlated with angry driving. Partial correlations showed that social desirability, trait irritability, and a positive attitude towards speeding explained most of the unique variance. Multiple regression analysis showed that trait irritability, positive attitude towards speeding, and a high self-reported car manoeuvring ability were the most important predictors of angry driving.
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Books on the topic "Driving range"

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Home on the range: The complete practice guide for the golf range. Seattle, Wash: Golf in the 80's, 1996.

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Peach, Clyde. From the driving range: The three-hole match. New Orleans: Magazine St. Press, 1996.

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Home on the range. Titusville, FL: Pyramid Press, 1996.

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Bergstrom, Leslie. Trips on wheels: 15 driving tours from the Front Range. Colorado Springs, Colo: Printed by Graphic Services, 1985.

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General Consumer Council for Northern Ireland. Driving range: The cost of car insurance for young drivers in Northern Ireland. Belfast: General Consumer Council for Northern Ireland, 2003.

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Arai, Shinʼichi. Renshūjō de kakujitsu ni umaku naru: Gorufu no kihon = Driving range helps you to progress : basics of golf. Tōkyō: Takahashi Shoten, 2006.

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Messer, W. The sink: The last days of driving. Gravenhurst, Ont: Breller Books, 2002.

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Sawatsky, John. The psychology of driving: Responding to road rage. 2nd ed. Scarborough, Ont: Henley Publishing, 1999.

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Confessions of a reformed road warrior: The testimony and learning of aggressive driving leading to road rage that can be overcome through awareness and faith. Seattle, Wash: A Class Act, 1999.

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Diane, Nahl, ed. Road rage and aggressive driving: Steering clear of highway warfare. Amherst, N.Y: Prometheus Books, 2000.

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Book chapters on the topic "Driving range"

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Hebert, Martial. "SMARTY: Point-Based Range Processing for Autonomous Driving." In Intelligent Unmanned Ground Vehicles, 87–103. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_6.

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Kchaou Boujelben, Mouna, and Celine Gicquel. "Location of Electric Vehicle Charging Stations Under Uncertainty on the Driving Range." In Lecture Notes in Computer Science, 475–86. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00898-7_32.

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Beringer, Nicole. "Improving the Environment Model for Highly Automated Driving by Extending the Sensor Range." In Proceedings, 18–29. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-23751-6_2.

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Petersen, Patrick, Jacob Langner, Stefan Otten, Eric Sax, Stefan Scheubner, Moritz Vaillant, Sebastian Fünfgeld, and F. Porsche. "Validation of range estimation for electric vehicles based on recorded real-world driving data." In Proceedings, 331–44. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25939-6_29.

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Mali, Vima, and Brijesh Tripathi. "Role of Supercapacitor for Increasing Driving Range of Electric Vehicles Under Indian Climatic Conditions." In Springer Proceedings in Energy, 987–99. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0235-1_76.

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Zhang, Ting, Jun Bi, Pan Wang, and Longhui Li. "Modeling and Analysis of the Driving Range for Electric Passenger Vehicles Based on Robust Regression Analysis." In Lecture Notes in Electrical Engineering, 295–302. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6445-6_33.

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Fujimoto, Hiroshi, Hideki Yoshida, and Yoshi Ri. "Range Extension Autonomous Driving for Electric Vehicles Based on Optimization of Velocity Profile Considering Traffic Signal Information." In Power Electronics and Power Systems, 67–84. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33672-1_4.

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Kriescher, Michael, Sebastian Scheibe, and Tilo Maag. "Development of the Safe Light Regional Vehicle (SLRV): A Lightweight Vehicle Concept with a Fuel Cell Drivetrain." In Small Electric Vehicles, 179–89. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65843-4_14.

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AbstractThe safe light regional vehicle (SLRV) concept was developed within the DLR project next-generation car (NGC). NGC SLRV addresses the safety concern of typical L7e vehicles. The SLRV is therefore specifically designed to demonstrate significant improvements to the passive safety of small vehicles. Another important goal of the NGC SLRV concept is to offer solutions to some of the main challenges of electric vehicles: to provide an adequate range and at the same time a reasonable price of the vehicle. In order to address these challenges a major goal of the concept is to minimize the driving resistance of the vehicle, by use of lightweight sandwich structures. A fuel cell drivetrain also helps to keep the overall size and weight of the vehicle low, while still providing sufficient range.
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Donaldson, Liam. "Safer Care: Shaping the Future." In Textbook of Patient Safety and Clinical Risk Management, 53–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59403-9_5.

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AbstractFundamental characteristics of healthcare, including approaches to priority-setting, culture, traditions of professional practice, leadership styles, and accountability mechanisms mean that many deep-seated causes of unsafe care have proved intractable to transformation. The wisdom and experience of patients and families that have suffered harm is enormous and should be better harnessed. The World Health Organization has led a diverse range of global action on patient safety over two decades. This has been highly successful in promoting interest, understanding, and commitment as well as driving specific programmes of action throughout the world. The organisation has also played a powerful convening role in bringing experts, organisations, and countries together to discuss and plan initiatives. This focus must be maintained in the face of slow and inconsistent improvement.
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Denisov, S., J. Klafter, and M. Urbakh. "Directed Transport in AC-Driven Hamiltonian Systems." In Processes with Long-Range Correlations, 193–209. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44832-2_11.

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Conference papers on the topic "Driving range"

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Lundström, Anders. "Differentiated Driving Range." In AutomotiveUI '14: 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2667317.2667347.

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Meyer, Gerard, Renee Slick, Daniel Westra, Nicolas Noblot, and Louis-Ann Kuntz. "Virtual Truck Driver Training and Validation: Preliminary Results for Range and Skid Pad." In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2001. http://dx.doi.org/10.17077/drivingassessment.1034.

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Bärgman, Jonas, Julia Werneke, Christian-Nills Boda, Johan Engström, and Kip Smith. "Using Manual Measurements on Event Recorder Video and Image Processing Algorithms to Extract Optical Parameters and Range." In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2013. http://dx.doi.org/10.17077/drivingassessment.1485.

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Umbarkar, Yogesh, and Hemant Khalane. "BEV Range: Challenges for Indian Driving Conditions." In Symposium on International Automotive Technology 2019. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2019. http://dx.doi.org/10.4271/2019-26-0127.

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Yu, Hai, Finn Tseng, and Ryan McGee. "Driving pattern identification for EV range estimation." In 2012 IEEE International Electric Vehicle Conference (IEVC). IEEE, 2012. http://dx.doi.org/10.1109/ievc.2012.6183207.

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Zhang, Yuhe, Wenjia Wang, Yuichi Kobayashi, and Keisuke Shirai. "Remaining driving range estimation of electric vehicle." In 2012 IEEE International Electric Vehicle Conference (IEVC). IEEE, 2012. http://dx.doi.org/10.1109/ievc.2012.6183172.

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Ko, Byungjin, Byungkyu Park, Haengju Lee, and Sang Hyuk Son. "Eco-Driving System Using Dedicated Short Range Communication." In 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 2016. http://dx.doi.org/10.1109/rtcsa.2016.55.

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Zhuoming, Li. "Wide dynamic range microwave attenuator and driving circuit." In 2013 IEEE 11th International Conference on Electronic Measurement & Instruments (ICEMI). IEEE, 2013. http://dx.doi.org/10.1109/icemi.2013.6743005.

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De Nunzio, Giovanni, and Laurent Thibault. "Energy-optimal driving range prediction for electric vehicles." In 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2017. http://dx.doi.org/10.1109/ivs.2017.7995939.

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De Pinto, Stefano, Qian Lu, Pablo Camocardi, Christoforos Chatzikomis, Aldo Sorniotti, Domenico Ragonese, Gregorio Iuzzolino, Pietro Perlo, and Constantina Lekakou. "Electric Vehicle Driving Range Extension Using Photovoltaic Panels." In 2016 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2016. http://dx.doi.org/10.1109/vppc.2016.7791674.

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Reports on the topic "Driving range"

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Anton, D., K. Wipke, and S. Sprik. EVALUATION OF RANGE ESTIMATES FOR TOYOTA FCHV-ADV UNDER OPEN ROAD DRIVING CONDITIONS. Office of Scientific and Technical Information (OSTI), July 2009. http://dx.doi.org/10.2172/962822.

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Pelham, Sarah, Tamara Göth, Jorrit Kamminga, Husnia Alkadri, Manizha Ehsan, and Anna Tonelli. 'Leading the Way': Women driving peace and security in Afghanistan, the Occupied Palestinian Territory and Yemen. Oxfam, January 2021. http://dx.doi.org/10.21201/2021.7222.

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In Afghanistan, the Occupied Palestinian Territory (OPT) and Yemen, women’s rights organizations are leading efforts to realize the Women, Peace and Security (WPS) agenda, in spite of ongoing conflict, insecurity and occupation. But without national duty bearers and international actors stepping up to meet their commitments, implement National Action Plans (NAPs) and provide resources and support, the full potential of the agenda will not be reached. This briefing paper explores challenges, lessons learned and opportunities related to realizing the WPS agenda, and makes recommendations to a range of national and international stakeholders on how to support its implementation in Afghanistan, OPT and Yemen.
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Ghil, Michael, Mickael D. Chekroun, Dmitri Kondrashov, Michael K. Tippett, Andrew Robertson, Suzana J. Camargo, Mark Cane, et al. Extended-Range Prediction with Low-Dimensional, Stochastic-Dynamic Models: A Data-driven Approach. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada572180.

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Chapman, J., T. Mihevc, and A. McKay. Groundwater flow near the Shoal Site, Sand Springs Range, Nevada: Impact of density-driven flow. Office of Scientific and Technical Information (OSTI), September 1994. http://dx.doi.org/10.2172/10117392.

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Downing, W. Logan, Howell Li, William T. Morgan, Cassandra McKee, and Darcy M. Bullock. Using Probe Data Analytics for Assessing Freeway Speed Reductions during Rain Events. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317350.

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Rain impacts roadways such as wet pavement, standing water, decreased visibility, and wind gusts and can lead to hazardous driving conditions. This study investigates the use of high fidelity Doppler data at 1 km spatial and 2-minute temporal resolution in combination with commercial probe speed data on freeways. Segment-based space-mean speeds were used and drops in speeds during rainfall events of 5.5 mm/hour or greater over a one-month period on a section of four to six-lane interstate were assessed. Speed reductions were evaluated as a time series over a 1-hour window with the rain data. Three interpolation methods for estimating rainfall rates were tested and seven metrics were developed for the analysis. The study found sharp drops in speed of more than 40 mph occurred at estimated rainfall rates of 30 mm/hour or greater, but the drops did not become more severe beyond this threshold. The average time of first detected rainfall to impacting speeds was 17 minutes. The bilinear method detected the greatest number of events during the 1-month period, with the most conservative rate of predicted rainfall. The range of rainfall intensities were estimated between 7.5 to 106 mm/hour for the 39 events. This range was much greater than the heavy rainfall categorization at 16 mm/hour in previous studies reported in the literature. The bilinear interpolation method for Doppler data is recommended because it detected the greatest number of events and had the longest rain duration and lowest estimated maximum rainfall out of three methods tested, suggesting the method balanced awareness of the weather conditions around the roadway with isolated, localized rain intensities.
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BOSTON COLL CHESTNUT HILL MA. Generation and Amplification of Radiation in Millimeter/Submillimeter Range through Current Driven Plasma Instabilities in Modulated Lower Dimensional Solid State Systems. Fort Belvoir, VA: Defense Technical Information Center, September 1998. http://dx.doi.org/10.21236/ada358302.

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Gupte, Jaideep, Sarath MG Babu, Debjani Ghosh, Eric Kasper, and Priyanka Mehra. Smart Cities and COVID-19: Implications for Data Ecosystems from Lessons Learned in India. Institute of Development Studies (IDS), March 2021. http://dx.doi.org/10.19088/sshap.2021.034.

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This brief distils best data practice recommendations through consideration of key issues involved in the use of technology for surveillance, fact-checking and coordinated control during crisis or emergency response in resource constrained urban contexts. We draw lessons from how data enabled technologies were used in urban COVID-19 response, as well as how standard implementation procedures were affected by the pandemic. Disease control is a long-standing consideration in building smart city architecture, while humanitarian actions are increasingly digitised. However, there are competing city visions being employed in COVID-19 response. This is symptomatic of a broader range of tech-based responses in other humanitarian contexts. These visions range from aspirations for technology driven, centralised and surveillance oriented urban regimes, to ‘frugal innovations’ by firms, consumers and city governments. Data ecosystems are not immune from gendered- and socio-political discrimination, and technology-based interventions can worsen existing inequalities, particularly in emergencies. Technology driven public health (PH) interventions thus raise concerns about 1) what types of technologies are appropriate, 2) whether they produce inclusive outcomes for economically and socially disadvantaged urban residents and 3) the balance between surveillance and control on one hand, and privacy and citizen autonomy on the other.
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Brandt, Leslie A., Cait Rottler, Wendy S. Gordon, Stacey L. Clark, Lisa O'Donnell, April Rose, Annamarie Rutledge, and Emily King. Vulnerability of Austin’s urban forest and natural areas: A report from the Urban Forestry Climate Change Response Framework. U.S. Department of Agriculture, Northern Forests Climate Hub, October 2020. http://dx.doi.org/10.32747/2020.7204069.ch.

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The trees, developed green spaces, and natural areas within the City of Austin’s 400,882 acres will face direct and indirect impacts from a changing climate over the 21st century. This assessment evaluates the vulnerability of urban trees and natural and developed landscapes within the City Austin to a range of future climates. We synthesized and summarized information on the contemporary landscape, provided information on past climate trends, and illustrated a range of projected future climates. We used this information to inform models of habitat suitability for trees native to the area. Projected shifts in plant hardiness and heat zones were used to understand how less common native species, nonnative species, and cultivars may tolerate future conditions. We also assessed the adaptability of planted and naturally occurring trees to stressors that may not be accounted for in habitat suitability models such as drought, flooding, wind damage, and air pollution. The summary of the contemporary landscape identifies major stressors currently threatening trees and forests in Austin. Major current threats to the region’s urban forest include invasive species, pests and disease, and development. Austin has been warming at a rate of about 0.4°F per decade since measurements began in 1938 and temperature is expected to increase by 5 to 10°F by the end of this century compared to the most recent 30-year average. Both increases in heavy rain events and severe droughts are projected for the future, and the overall balance of precipitation and temperature may shift Austin’s climate to be more similar to the arid Southwest. Species distribution modeling of native trees suggests that suitable habitat may decrease for 14 primarily northern species, and increase for four more southern species. An analysis of tree species vulnerability that combines model projections, shifts in hardiness and heat zones, and adaptive capacity showed that only 3% of the trees estimated to be present in Austin based on the most recent Urban FIA estimate were considered to have low vulnerability in developed areas. Using a panel of local experts, we also assessed the vulnerability of developed and natural areas. All areas were rated as having moderate to moderate-high vulnerability, but the underlying factors driving that vulnerability differed by natural community and between East and West Austin. These projected changes in climate and their associated impacts and vulnerabilities will have important implications for urban forest management, including the planting and maintenance of street and park trees, management of natural areas, and long-term planning.
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Liberman, Babe, and Viki Young. Equity in the Driver’s Seat: A Practice-Driven, Equity-Centered Approach for Setting R&D Agendas in Education. Digital Promise, July 2020. http://dx.doi.org/10.51388/20.500.12265/100.

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Education research is too often based on gaps in published research or the niche interests of researchers, rather than the priority challenges faced by schools and districts. As a result, the education studies that researchers design and publish are often not applicable to schools’ most pressing needs. To spur future research to address the specific equity goals of schools and districts, Digital Promise set out to define and test a collaborative process for developing practice-driven, equity-centered R&D agendas. Our process centered on convening a range of education stakeholders to listen to and prioritize the equity-related challenges that on-the-ground staff are facing, while considering prominent gaps in existing research and solutions. We selected two challenge topics around which to pilot this approach and create sample agendas (adolescent literacy and computational thinking).
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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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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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