Academic literature on the topic 'Time travel'
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Journal articles on the topic "Time travel"
Barkasi, Michael, and Melanie G. Rosen. "Is mental time travel real time travel?" Philosophy and the Mind Sciences 1, no. 1 (May 26, 2020): 1–27. http://dx.doi.org/10.33735/phimisci.2020.1.28.
Full textSomogyvári, Márk, Peter Bayer, and Ralf Brauchler. "Travel-time-based thermal tracer tomography." Hydrology and Earth System Sciences 20, no. 5 (May 12, 2016): 1885–901. http://dx.doi.org/10.5194/hess-20-1885-2016.
Full textSeow, Victor. "Time/Travel." Historical Studies in the Natural Sciences 51, no. 3 (June 1, 2021): 420–27. http://dx.doi.org/10.1525/hsns.2021.51.3.420.
Full textLopez, Ruth Palan, and Elaine J. Amella. "Time Travel." Research in Gerontological Nursing 4, no. 2 (August 31, 2010): 127–34. http://dx.doi.org/10.3928/19404921-20100729-02.
Full textDanos, Stephen. "Time Travel." Cream City Review 37, no. 1 (2013): 69. http://dx.doi.org/10.1353/ccr.2013.0019.
Full textSantoro, Jonathan D. "Time Travel." Journal of Palliative Medicine 21, no. 9 (September 2018): 1366. http://dx.doi.org/10.1089/jpm.2018.0121.
Full textAhronheim, Sara R. "Time Travel." CJEM 22, no. 3 (February 27, 2020): 389–90. http://dx.doi.org/10.1017/cem.2019.461.
Full textLogan, Bruce. "Time Travel." Environmental Science & Technology Letters 1, no. 1 (January 14, 2014): 1. http://dx.doi.org/10.1021/ez400200t.
Full textChan, K. S., William H. K. Lam, and Mei Lam Tam. "Real-Time Estimation of Arterial Travel Times with Spatial Travel Time Covariance Relationships." Transportation Research Record: Journal of the Transportation Research Board 2121, no. 1 (January 2009): 102–9. http://dx.doi.org/10.3141/2121-11.
Full textSorensen, Roy A. "Time Travel, Parahistory and Hume." Philosophy 62, no. 240 (April 1987): 227–36. http://dx.doi.org/10.1017/s0031819100064068.
Full textDissertations / Theses on the topic "Time travel"
Wan, Ke. "Estimation of Travel Time Distribution and Travel Time Derivatives." Thesis, Princeton University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3642164.
Full textGiven the complexity of transportation systems, generating optimal routing decisions is a critical issue. This thesis focuses on how routing decisions can be computed by considering the distribution of travel time and associated risks. More specifically, the routing decision process is modeled in a way that explicitly considers the dependence between the travel times of different links and the risks associated with the volatility of travel time. Furthermore, the computation of this volatility allows for the development of the travel time derivative, which is a financial derivative based on travel time. It serves as a value or congestion pricing scheme based not only on the level of congestion but also its uncertainties. In addition to the introduction (Chapter 1), the literature review (Chapter 2), and the conclusion (Chapter 6), the thesis consists of two major parts:
In part one (Chapters 3 and 4), the travel time distribution for transportation links and paths, conditioned on the latest observations, is estimated to enable routing decisions based on risk. Chapter 3 sets up the basic decision framework by modeling the dependent structure between the travel time distributions for nearby links using the copula method. In Chapter 4, the framework is generalized to estimate the travel time distribution for a given path using Gaussian copula mixture models (GCMM). To explore the data from fundamental traffic conditions, a scenario-based GCMM is studied. A distribution of the path scenario representing path traffic status is first defined; then, the dependent structure between constructing links in the path is modeled as a Gaussian copula for each path scenario and the scenario-wise path travel time distribution is obtained based on this copula. The final estimates are calculated by integrating the scenario-wise path travel time distributions over the distribution of the path scenario. In a discrete setting, it is a weighted sum of these conditional travel time distributions. Different estimation methods are employed based on whether or not the path scenarios are observable: An explicit two-step maximum likelihood method is used for the GCMM based on observable path scenarios; for GCMM based on unobservable path scenarios, extended Expectation Maximum algorithms are designed to estimate the model parameters, which introduces innovative copula-based machine learning methods.
In part two (Chapter 5), travel time derivatives are introduced as financial derivatives based on road travel times—a non-tradable underlying asset. This is proposed as a more fundamental approach to value pricing. The chapter addresses (a) the motivation for introducing such derivatives (that is, the demand for hedging), (b) the potential market, and (c) the product design and pricing schemes. Pricing schemes are designed based on the travel time data captured by real time sensors, which are modeled as Ornstein-Uhlenbeck processes and more generally, continuous time auto regression moving average (CARMA) models. The risk neutral pricing principle is used to generate the derivative price, with reasonably designed procedures to identify the market value of risk.
Gilmore, G. Matthew. "The philosophy of time travel." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq24846.pdf.
Full textRadtke, William Joseph. "Three Attempts at Time Travel." OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/1909.
Full textNykvist, Joar. "Data-Driven Travel Time Prediction." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255023.
Full textAtt ge noggranna förutsager om restider för fordon i trafik är av intresse både för privata förare som försöker hinna med sina scheman, och företag som behöver organiska logistik för transporter. Denna rapport görs på uppdrag av svenska lastbilstillverkaren Scania CV AB, och har som mål att använda GPS-data från Scanias fordon till att träna maskininlärningsmodeller för att förutsäga hur lång tid det tar för fordon att resa mellan stopp. De prediktiva modellerna som implementeras använder variabler som konstrueras från relativt enkel information från fordonen, men lyckas ändå nå hög prediktiv prestanda i vissa scenarion. Två olika ansatser prövas för att förutsäga restider, en ansats med lokala modeller, och en ansats med global modell. I ansatsen med lokala modeller tränas flera separata regressorer på geografiska delmängder av datan, vilka sedan kombineras och ger globala förutsägor. I ansatsen med global modell tränas en enda regressor på hela datamängden. Ansatsen med global modell visar sig ha högre prestanda i experimenten, men ansatsen med lokala modeller förevisar ändå vissa lovande tendenser. Resultaten antyder att en regressor ger mycket noggrannare prediktioner när den geografiska spridningen i datan begränsas.
Swärdh, Jan-Erik. "Commuting time choice and the value of travel time." Doctoral thesis, Örebro universitet, Handelshögskolan vid Örebro universitet, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-8524.
Full textSwärdh, Jan-Erik. "Commuting time choice and the value of travel time /." Örebro : Örebro Universitet, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-8524.
Full textAlvarez, Patricio A. "A Methodology to Estimate Time Varying User Responses to Travel Time and Travel Time Reliability in a Road Pricing Environment." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/631.
Full textBusby, Janie Amber. "The development of mental time travel /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18615.pdf.
Full textSigakova, Ksenia. "Road Freight Transport Travel Time Prediction." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3031.
Full textJohansson, Martin. "Travel Time Estimations Using Bluetooth Data." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112097.
Full textBooks on the topic "Time travel"
Time travel. Detroit: KidHaven Press, 2009.
Find full textNahin, Paul J. Time travel. Cincinnati, Ohio: Writer's Digest Books, 1997.
Find full textTime travel. Edina, Minn: ABDO Pub. Co., 2007.
Find full textArias, Lisa. Time travel. Vero Beach, Florida]: Rourke Educational Media, 2015.
Find full textTime travel. London: Faber, 2006.
Find full textKajioka, Miho. Time travel. Schiedam: De Ketelfactory, 2019.
Find full textMacvey, John W. Time travel. Chelsea, Mich: Scarborough House, 1990.
Find full textJolley, Dan. Time travel. Minneapolis: Graphic Universe, 2008.
Find full textReverse time travel. London: Cassell, 1996.
Find full textParker, Barry. Cosmic Time Travel. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-6136-5.
Full textBook chapters on the topic "Time travel"
Anoshin, Dmitry, Dmitry Shirokov, and Donna Strok. "Time Travel." In Jumpstart Snowflake, 251–59. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5328-1_14.
Full textWebb, Stephen. "Time Travel." In All the Wonder that Would Be, 119–49. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51759-9_5.
Full textKirchmann, Kay. "Time Travel." In Critical Terms in Futures Studies, 313–17. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28987-4_48.
Full textMassey, Anne. "Time travel." In The Interior Architecture Theory Reader, 234–41. New York : Routledge, 2017.: Routledge, 2018. http://dx.doi.org/10.4324/9781315693002-28.
Full textRea, Michael. "Time travel." In Metaphysics, 90–101. Second edition. | Abingdon, Oxon; New York, NY: Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9780429027444-6.
Full textSpieler, Christof. "Travel Time." In Trains, Buses, People, 28–29. Washington, DC: Island Press/Center for Resource Economics, 2018. http://dx.doi.org/10.5822/978-1-61091-904-3_12.
Full textSingha Deo, P. "Time Travel." In Mesoscopic Route to Time Travel, 101–16. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4465-8_6.
Full textMcGee, Brenda, and Debbie Keiser. "Time Travel." In Reader's Theater... and So Much More! Grades 5-6, 89–90. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003237556-17.
Full textBanister, David. "Time and Travel." In Methods and Models in Transport and Telecommunications, 35–333. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-28550-4_17.
Full textSoriguera Martí, Francesc. "Travel Time Definitions." In Highway Travel Time Estimation With Data Fusion, 43–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48858-4_2.
Full textConference papers on the topic "Time travel"
Meyrowitz, Norman K. "Time Travel." In HT '20: 31st ACM Conference on Hypertext and Social Media. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3406853.3432661.
Full textBuzzo, Daniel. "Time Travel: Time Dilation." In Electronic Visualisation and the Arts (EVA 2014). BCS Learning & Development, 2014. http://dx.doi.org/10.14236/ewic/eva2014.40.
Full textTran, Nam Khanh, Andrea Ceroni, Nattiya Kanhabua, and Claudia Niederée. "Time-travel Translator." In WWW '15: 24th International World Wide Web Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2740908.2742841.
Full textTang, John, Jennifer Marlow, Aaron Hoff, Asta Roseway, Kori Inkpen, Chen Zhao, and Xiang Cao. "Time travel proxy." In the 2012 ACM annual conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2207676.2208725.
Full textMorton, S. "Automated Travel Time Estimation." In EAGE Winter Symposium - Reservoir Geophysics, the Road Ahead. European Association of Geoscientists & Engineers, 1996. http://dx.doi.org/10.3997/2214-4609.201406832.
Full textAichelburg, P. C. "Wormholes and time travel." In HADRONS AND NUCLEI: First International Symposium. AIP, 2000. http://dx.doi.org/10.1063/1.1290914.
Full textZhou, Min, and Gerard T. Schuster. "Interferometric travel time tomography." In SEG Technical Program Expanded Abstracts 2000. Society of Exploration Geophysicists, 2000. http://dx.doi.org/10.1190/1.1815871.
Full textPhang, Khoo Yit, Jeffrey S. Foster, and Michael Hicks. "Expositor: Scriptable time-travel debugging with first-class traces." In 2013 35th International Conference on Software Engineering (ICSE). IEEE, 2013. http://dx.doi.org/10.1109/icse.2013.6606581.
Full textPark, Sangjun, Hesham Rakha, and Feng Guo. "Multi-state travel time reliability model: Impact of incidents on travel time reliability." In 2011 14th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2011). IEEE, 2011. http://dx.doi.org/10.1109/itsc.2011.6082874.
Full textDay, Christopher, Stephen Remias, Howell Li, Michelle Mekker, Margaret McNamara, Edward Cox, and Darcy Bullock. "Performance Ranking of Arterial Corridors Using Travel Time and Travel Time Reliability Metrics." In Automated Traffic Signal Performance Measure Workshop. Purdue University, 2016. http://dx.doi.org/10.5703/1288284316049.
Full textReports on the topic "Time travel"
Martchouk, Maria, Fred Mannering, and Lakhwinder Singh. Travel Time Reliability in Indiana. West Lafayette, Indiana: Purdue University, 2011. http://dx.doi.org/10.5703/1288284314263.
Full textSkarsoulis, Emmanuel, Bruce Cornuelle, and Matthew Dzieciuch. Travel-Time and Amplitude Sensitivity Kernels. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada571772.
Full textChandrayadula, Tarun K. Travel Time Estimation Methods for Mode Tomography. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada542281.
Full textUnnikrishnan, Avinash, Miguel Figliozzo, and Subhash Kochar. Statistical Inference for Multimodal Travel Time Reliability. Transportation Research and Education Center (TREC), 2022. http://dx.doi.org/10.15760/trec.278.
Full textSkarsoulis, Emmanuel, and Bruce Cornuelle. Travel-Time Sensitivity Kernels In Long-Range Propagation. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada569085.
Full textDay, Christopher, Jason Wasson, Thomas Brennan, and Darcy Bullock. Application of Travel Time Information for Traffic Management. Purdue University, August 2012. http://dx.doi.org/10.5703/1288284314666.
Full textMohammadian, Abolfazl, Homa Taghipour, and Amir Bahador Parsa. Dynamic Travel Time Estimation for Northeast Illinois Expressways. Illinois Center for Transportation, June 2020. http://dx.doi.org/10.36501/0197-9191/20-012.
Full textKim, David. Wireless Data Collection System for Real-Time Arterial Travel Time Estimates: Final Report. Portland State University Library, March 2011. http://dx.doi.org/10.15760/trec.23.
Full textTufte, Kristin. Assessment and Refinement of Real-Time Travel Time Algorithms for Use in Practice. Portland State University Library, October 2008. http://dx.doi.org/10.15760/trec.91.
Full textWu, Tong Qiang, Eil Kwon, Kevin Sommers, Michael Zhang, and Ahsan Habib. Arterial Link Travel Time Estimation Using Loop Detector Data. Iowa City, Iowa: University of Iowa Public Policy Center, 1997. http://dx.doi.org/10.17077/zp8m-emq1.
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