Academic literature on the topic 'Models of time travel'
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Journal articles on the topic "Models of time travel"
Roden, David B. "Forecasting Travel Time." Transportation Research Record: Journal of the Transportation Research Board 1518, no. 1 (January 1996): 7–12. http://dx.doi.org/10.1177/0361198196151800102.
Full textDaly, Hannah E., Kalai Ramea, Alessandro Chiodi, Sonia Yeh, Maurizio Gargiulo, and Brian Ó. Gallachóir. "Incorporating travel behaviour and travel time into TIMES energy system models." Applied Energy 135 (December 2014): 429–39. http://dx.doi.org/10.1016/j.apenergy.2014.08.051.
Full textCarey, Malachy, and Y. E. Ge. "Comparing whole-link travel time models." Transportation Research Part B: Methodological 37, no. 10 (December 2003): 905–26. http://dx.doi.org/10.1016/s0191-2615(02)00091-7.
Full textYang, Shu, and Yao-Jan Wu. "Mixture Models for Fitting Freeway Travel Time Distributions and Measuring Travel Time Reliability." Transportation Research Record: Journal of the Transportation Research Board 2594, no. 1 (January 2016): 95–106. http://dx.doi.org/10.3141/2594-13.
Full textCarey, Malachy, Paul Humphreys, Marie McHugh, and Ronan McIvor. "Travel-Time Models With and Without Homogeneity Over Time." Transportation Science 51, no. 3 (August 2017): 882–92. http://dx.doi.org/10.1287/trsc.2016.0674.
Full textvan Hinsbergen, C. P. IJ, and J. W. C. van Lint. "Bayesian Combination of Travel Time Prediction Models." Transportation Research Record: Journal of the Transportation Research Board 2064, no. 1 (January 2008): 73–80. http://dx.doi.org/10.3141/2064-10.
Full textCarey, Malachy, and Y. E. Ge. "Efficient Discretisation for Link Travel Time Models." Networks and Spatial Economics 4, no. 3 (September 2004): 269–90. http://dx.doi.org/10.1023/b:nets.0000039783.57975.f0.
Full textMacGregor Smith, J., and F. R. B. Cruz. "state dependent travel time models and properties." Physica A: Statistical Mechanics and its Applications 395 (February 2014): 560–79. http://dx.doi.org/10.1016/j.physa.2013.10.048.
Full textMamdoohi, Amir Reza, Amin Delfan Azari, and Mehrdad Alomoradi. "Estimating Bus Travel Time Using Survival Models." Journal of Planning and Budgeting 24, no. 3 (December 1, 2019): 111–32. http://dx.doi.org/10.29252/jpbud.24.3.111.
Full textKuehnel, Nico, Dominik Ziemke, Rolf Moeckel, and Kai Nagel. "The end of travel time matrices: Individual travel times in integrated land use/transport models." Journal of Transport Geography 88 (October 2020): 102862. http://dx.doi.org/10.1016/j.jtrangeo.2020.102862.
Full textDissertations / Theses on the topic "Models of time travel"
Lu, Chenxi. "Improving Analytical Travel Time Estimation for Transportation Planning Models." FIU Digital Commons, 2010. http://digitalcommons.fiu.edu/etd/237.
Full textSikder, Sujan. "Spatial Transferability of Activity-Based Travel Forecasting Models." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4771.
Full textSidhu, Bobjot Singh. "Exploring Data Driven Models of Transit Travel Time and Delay." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1601.
Full textJung, Sungyong. "Spatial variability of travel time coefficients in travel demand models and its implication for transportation equilibrium /." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487758680162211.
Full textYusuf, Adeel. "Advanced machine learning models for online travel-time prediction on freeways." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50408.
Full textKachani, S. (Soulaymane). "Dynamic travel time models for pricing and route guidance : a fluid dynamics approach." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8527.
Full textIncludes bibliographical references (leaves 193-201).
This thesis investigates dynamic phenomena that arise in a variety of systems that share similar characteristics. A common characteristic of particular interest in this work is travel time. We wish to address questions of the type: How long does it take a driver to traverse a route in a transportation network? How long does a unit of product remain in inventory before being sold? As a result, our goal is not only to develop models for travel times as they arise in a variety of dynamically evolving environments, but also to investigate the application of these models in the contexts of dynamic pricing, inventory management, traffic control and route guidance. To address these issues, we develop general models for travel times. To make these models more accessible, we describe them as they apply to transportation systems. We propose first-order and second-order fluid models. We enhance these models to account for spillback and bottleneck phenomena. Based on piecewise linear and piecewise quadratic approximations of the departure or exit flows, we propose several classes of travel time functions. In the area of supply chain, we propose and study a fluid model of pricing and inventory management for make-to-stock manufacturing systems. This model is based on how price and level of inventory affect the time a unit of product remains in inventory. The model applies to non-perishable products. Our motivation is based on the observation that in inventory systems, a unit of product incurs a delay before being sold. This delay depends on the level of inventory of this product, its unit price, and prices of competitors.
(Cont.) The model includes joint pricing, production and inventory decisions in a competitive capacitated multi-product dynamic environment. Finally, we consider the anticipatory route guidance problem, an extension of the dynamic user-equilibrium problem. This problem consists of providing messages to drivers, based on forecasts of traffic conditions, to assist them in their path choice decisions. We propose two equivalent formulations that are the first general analytical formulations of this problem. We establish, under weak assumptions, the existence of a solution to this problem.
by Soulaymane Kachani.
Ph.D.
Emam, Emam. "UTILIZING A REAL LIFE DATA WAREHOUSE TO DEVELOP FREEWAY TRAVEL TIME ELIABILITY STOCHASTIC MODELS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3987.
Full textPh.D.
Department of Civil and Environmental Engineering
Engineering and Computer Science
Civil Engineering
Tringides, Constantinos A. "Alternative formulations of joint model systems of departure time choice and mode choice for non-work trips." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000240.
Full textNehra, Ram S. "Modeling time space prism constraints in a developing country context." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000299.
Full textYang, Shu, and Shu Yang. "Estimating Freeway Travel Time Reliability for Traffic Operations and Planning." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/623003.
Full textBooks on the topic "Models of time travel"
Chen, Huey-Kuo. Dynamic travel choice models: A variational inequality approach. Berlin: Springer, 1999.
Find full textKōtsū no jikan kachi no riron to jissai: Value of travel time : theory and practice. Tōkyō-to Chiyoda-ku: Gihōdō Shuppan, 2013.
Find full textNerhagen, Lena. Travel demand and value of time: Towards an understanding of individuals choice behavior. Gothenburg: Dept. of Economics, Gothenburg University, 2001.
Find full textJean-Pierre, Maquerlot, and Willems Michèle, eds. Travel and drama in Shakespeare's time. Cambridge [England]: Cambridge University Press, 1996.
Find full textGarrow, Laurie A. Discrete choice modelling and air travel demand: Theory and applications. Farnham, Surrey: Ashgate, 2010.
Find full textLapparent, Matthieu de. L' analyse de la valeur du temps dans les déplacements professionnels: De l'approche classique à l'introduction d'incertitude sur les temps de transport. Arcueil: INRETS, 2005.
Find full textMees, Romain M. Locating suppression resources by travel times to wildfires. Berkeley, Calif: U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1986.
Find full textEvans, Carolyn L. Distance, time, and specialization. Washington, D.C: Federal Reserve Board, 2003.
Find full textEvans, Carolyn L. Distance, time, and specialization. Cambridge, Mass: National Bureau of Economic Research, 2003.
Find full textUrban travel demand modeling: From individual choices to general equilibrium. New York: Wiley, 1995.
Find full textBook chapters on the topic "Models of time travel"
Banister, 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 textChen, Huey-Kuo. "Dynamic User-Optimal Departure Time/Route Choice Model." In Dynamic Travel Choice Models, 85–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59980-4_6.
Full textChen, Huey-Kuo. "Network Flow Constraints and Link Travel Time Function Analysis." In Dynamic Travel Choice Models, 37–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59980-4_3.
Full textRan, Bin, and David E. Boyce. "Link Travel Time Functions for Dynamic Network Models." In Lecture Notes in Economics and Mathematical Systems, 337–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-00773-0_16.
Full textRan, Bin, and David Boyce. "Link Travel Time Functions for Dynamic Network Models." In Modeling Dynamic Transportation Networks, 291–309. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80230-0_13.
Full textBarceló, Jaume, Xavier Ros-Roca, and Lidia Montero. "Data Analytics and Models for Understanding and Predicting Travel Patterns in Urban Scenarios." In The Evolution of Travel Time Information Systems, 201–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89672-0_7.
Full textHolland, Samantha. "‘A Form of Time Travel’: Everyday Vintage." In Modern Vintage Homes & Leisure Lives, 65–91. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-57618-7_4.
Full textKorcek, Pavol, Lukas Sekanina, and Otto Fucik. "Calibration of Traffic Simulation Models Using Vehicle Travel Times." In Lecture Notes in Computer Science, 807–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33350-7_84.
Full textCandela, Rosa, Pietro Michiardi, Maurizio Filippone, and Maria A. Zuluaga. "Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting." In Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 513–29. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67667-4_31.
Full textAndersen, Ove, and Kristian Torp. "A Data Model for Determining Weather’s Impact on Travel Time." In Lecture Notes in Computer Science, 437–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44406-2_37.
Full textConference papers on the topic "Models of time travel"
Kormaksson, Matthias, Luciano Barbosa, Marcos R. Vieira, and Bianca Zadrozny. "Bus Travel Time Predictions Using Additive Models." In 2014 IEEE International Conference on Data Mining (ICDM). IEEE, 2014. http://dx.doi.org/10.1109/icdm.2014.107.
Full textComi, Antonio, Agostino Nuzzolo, Stefano Brinchi, and Renata Verghini. "Bus dispatching irregularity and travel time dispersion." In 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2017. http://dx.doi.org/10.1109/mtits.2017.8005632.
Full textLiu, Zhe, Jiancheng Weng, Qiang Tu, and Ledian Zhang. "Public Transit Based Commuting Travel Time Impact Models." In 18th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481523.090.
Full textShen, Bo, and Guojun Chen. "Evaluation of Travel Time Estimation Models with Different Inputs." In Fifth International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479384.164.
Full textNarayanan, Aakash Kumar, Chaitra Pranesh, Sarat Chandra Nagavarapu, B. Anil Kumar, and Justin Dauwels. "Data-driven Models for Short-term Travel Time Predictio." In 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE, 2019. http://dx.doi.org/10.1109/itsc.2019.8917456.
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 textBilal, Muhammad Tabish, Samra Sarwar, and Davide Giglio. "Optimization of public transport route assignment via travel time reliability." In 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2021. http://dx.doi.org/10.1109/mt-its49943.2021.9529303.
Full textMane, Ajinkya S., and Srinivas S. Pulugurtha. "Link-level Travel Time Prediction Using Artificial Neural Network Models." In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. http://dx.doi.org/10.1109/itsc.2018.8569731.
Full textLiu, Junjuan, Fenyi Dong, and Bingjun Li. "An Inhabitant Travel Time Distribution Model." In Seventh International Conference on Traffic and Transportation Studies (ICTTS) 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41123(383)57.
Full textGhanem, Ahmed, Mohammed Elhenawy, Mohammed Almannaa, Huthaifa I. Ashqar, and Hesham A. Rakha. "Bike share travel time modeling: San Francisco bay area case study." In 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2017. http://dx.doi.org/10.1109/mtits.2017.8005582.
Full textReports on the topic "Models of time travel"
Ballard, Sanford. Analytic solutions for seismic travel time and ray path geometry through simple velocity models. Office of Scientific and Technical Information (OSTI), December 2007. http://dx.doi.org/10.2172/1004383.
Full textArhin, Stephen, Babin Manandhar, Hamdiat Baba Adam, and Adam Gatiba. Predicting Bus Travel Times in Washington, DC Using Artificial Neural Networks (ANNs). Mineta Transportation Institute, April 2021. http://dx.doi.org/10.31979/mti.2021.1943.
Full textWenzel, Tom P. Relationship between US Societal Fatality Risk per Vehicle Miles of Travel and Mass, for Individual Vehicle Models over Time (Model Year). Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1345202.
Full textArhin, Stephen, Babin Manandhar, Kevin Obike, and Melissa Anderson. Impact of Dedicated Bus Lanes on Intersection Operations and Travel Time Model Development. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2040.
Full textKim, Jinwon, and Jucheol Moon. Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data. Mineta Transportation Institute, March 2022. http://dx.doi.org/10.31979/mti.2022.2031.
Full textYaremchuk, Olesya. TRAVEL ANTHROPOLOGY IN JOURNALISM: HISTORY AND PRACTICAL METHODS. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11069.
Full textKruse, C., Dong Hun Kang, Kenneth Mitchell, Patricia DiJoseph, and Marin Kress. Freight fluidity for the Port of Baltimore : vessel approach and maritime mobility metrics. Engineer Research and Development Center (U.S.), January 2022. http://dx.doi.org/10.21079/11681/43000.
Full textLiu, Hongrui, and Rahul Ramachandra Shetty. Analytical Models for Traffic Congestion and Accident Analysis. Mineta Transportation Institute, November 2021. http://dx.doi.org/10.31979/mti.2021.2102.
Full textWang, Chih-Hao, and Na Chen. Do Multi-Use-Path Accessibility and Clustering Effect Play a Role in Residents' Choice of Walking and Cycling? Mineta Transportation Institute, June 2021. http://dx.doi.org/10.31979/mti.2021.2011.
Full textYu, Haichao, Haoxiang Li, Honghui Shi, Thomas S. Huang, and Gang Hua. Any-Precision Deep Neural Networks. Web of Open Science, December 2020. http://dx.doi.org/10.37686/ejai.v1i1.82.
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