Relevant bibliographies by topics / Optimal Transportation

Academic literature on the topic 'Optimal Transportation'

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Published: 4 June 2021
Last updated: 14 March 2023

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Journal articles on the topic "Optimal Transportation"

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Mansur, Salwa Salsabila, Sri Widowati, and Mahmud Imrona. "Determination of Optimal Public Transportation Routes Using Firefly and Tabu Search Algorithms." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 5 (October 30, 2020): 884–91. http://dx.doi.org/10.29207/resti.v4i5.2259.

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Traffic congestion problems generally caused by the increasing use of private vehicles and public transportations. In order to overcome the situation, the optimization of public transportation’s route is required particularly the urban transportation. In this research, the performance analysis of Firefly and Tabu Search algorithm is conducted to optimize eleven public transportation’s routes in Bandung. This optimization aims to increase the dispersion of public transportation’s route by expanding the scope of route that are crossed by public transportation so that it can reach the entire Bandung city and increase the driver’s income by providing the passengers easier access to public transportations in order to get to their destinations. The optimal route is represented by the route with most roads and highest number of incomes. In this research, the comparison results between the reference route and the public transportation’s optimized route increasing the dispersion of public transportation’s route to 60,58% and increasing the driver’s income to 20,03%.
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Ekeland, Ivar, and Maurice Queyranne. "Optimal pits and optimal transportation." ESAIM: Mathematical Modelling and Numerical Analysis 49, no. 6 (November 2015): 1659–70. http://dx.doi.org/10.1051/m2an/2015026.

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Cui, Li, Xin Qi, Chengfeng Wen, Na Lei, Xinyuan Li, Min Zhang, and Xianfeng Gu. "Spherical optimal transportation." Computer-Aided Design 115 (October 2019): 181–93. http://dx.doi.org/10.1016/j.cad.2019.05.024.

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Klötzler, R. "Optimal Transportation Flows." Zeitschrift für Analysis und ihre Anwendungen 14, no. 2 (1995): 391–401. http://dx.doi.org/10.4171/zaa/681.

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J, Ravi, Dickson S, and Sathya K. "An Optimal Solution for Transportation problem-DFSD." Journal of Computational Mathematica 3, no. 1 (June 30, 2019): 40–48. http://dx.doi.org/10.26524/cm46.

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Wolansky, G. "From optimal transportation to optimal teleportation." Annales de l'Institut Henri Poincaré C, Analyse non linéaire 34, no. 7 (December 2017): 1669–85. http://dx.doi.org/10.1016/j.anihpc.2016.12.003.

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Narayanamoorthy, S., and S. Kalyani. "The Intelligence of Dual Simplex Method to Solve Linear Fractional Fuzzy Transportation Problem." Computational Intelligence and Neuroscience 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/103618.

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An approach is presented to solve a fuzzy transportation problem with linear fractional fuzzy objective function. In this proposed approach the fractional fuzzy transportation problem is decomposed into two linear fuzzy transportation problems. The optimal solution of the two linear fuzzy transportations is solved by dual simplex method and the optimal solution of the fractional fuzzy transportation problem is obtained. The proposed method is explained in detail with an example.
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M. Chu, K., and A. Abdulrazik. "Optimal Biomass Transportation Model." Journal of Chemical Engineering and Industrial Biotechnology 7, no. 1 (April 29, 2021): 23–31. http://dx.doi.org/10.15282/jceib.v7i1.5642.

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The transportation represents a key proportion of the operational cost for the biomass industries worldwide. As biomasses are mainly carried by trucks for parts of the transportation, the focus of this paper is on the transport of treated and untreated biomass (rice husk, empty fruit bunch, and woody biomass) by large, medium and small trucks. The objectives were to formulate biomass transportation model for transporting treated and untreated biomass resources and to obtain optimal result for selecting the best transportation mode. By screening of biomass types, locations for treated and untreated biomass resources and screening of suitable transportation mode used, the important model parameters were obtained and linear programming for minimizing overall transportation costs was formulated. General Algebraic Modelling System (GAMS) software was used to solve the optimization formulations. From the optimization result obtained by using GAMS, large truck was selected to be the best transportation mode for treated, untreated and hybrid biomass since it showed minimal overall transportation cost.
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Ekeland, Ivar. "Notes on optimal transportation." Economic Theory 42, no. 2 (November 28, 2008): 437–59. http://dx.doi.org/10.1007/s00199-008-0426-9.

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Bacon, Xavier. "Multi-species Optimal Transportation." Journal of Optimization Theory and Applications 184, no. 2 (September 26, 2019): 315–37. http://dx.doi.org/10.1007/s10957-019-01590-z.

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Dissertations / Theses on the topic "Optimal Transportation"

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Giddings, Robin Douglas. "Mesh movement via optimal transportation." Thesis, University of Reading, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515757.

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Cavalletti, Fabio. "Optimal transportation in geodesic spaces." Doctoral thesis, SISSA, 2011. http://hdl.handle.net/20.500.11767/4213.

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Zhang, Xiaoning. "Optimal road pricing in transportation networks /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202003%20ZHANG.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 230-240). Also available in electronic version. Access restricted to campus users.
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Figalli, Alessio. "Optimal transportation and action-minimizing measures." Doctoral thesis, Lyon, École normale supérieure (sciences), 2007. http://www.theses.fr/2007ENSL0422.

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Figalli, Alessio. "Optimal transportation and action-minimizing measures." Doctoral thesis, Scuola Normale Superiore, 2007. http://hdl.handle.net/11384/85683.

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Bonnotte, Nicolas. "Unidimensional and Evolution Methods for Optimal Transportation." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00946781.

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In dimension one, optimal transportation is rather straightforward. The easiness with which a solution can be obtained in that setting has recently been used to tackle more general situations, each time thanks to the same method. First, disintegrate your problem to go back to the unidimensional case, and apply the available 1D methods to get a first result; then, improve it gradually using some evolution process.This dissertation explores that direction more thoroughly. Looking back at two problems only partially solved this way, I show how this viewpoint in fact allows to go even further.The first of these two problems concerns the computation of Yann Brenier's optimal map. Guillaume Carlier, Alfred Galichon, and Filippo Santambrogio found a new way to obtain it, thanks to an differential equation for which an initial condition is given by the Knothe--Rosenblatt rearrangement. (The latter is precisely defined by a series of unidimensional transformations.) However, they only dealt with discrete target measures; I~generalize their approach to a continuous setting. By differentiation, the Monge--Ampère equation readily gives a PDE satisfied by the Kantorovich potential; but to get a proper initial condition, it is necessary to use the Nash--Moser version of the implicit function theorem.The basics of optimal transport are recalled in the first chapter, and the Nash--Moser theory is exposed in chapter 2. My results are presented in chapter 3, and numerical experiments in chapter 4.The last chapter deals with the IDT algorithm, devised by François Pitié, Anil C. Kokaram, and Rozenn Dahyot. It builds a transport map that seems close enough to the optimal map for most applications. A complete mathematical understanding of the procedure is, however, still lacking. An interpretation as a gradient flow in the space of probability measures is proposed, with the sliced Wasserstein distance as the functional. I also prove the equivalence between the sliced and usual Wasserstein distances.
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Nenna, Luca. "Numerical Methods for Multi-Marginal Optimal Transportation." Thesis, Paris Sciences et Lettres (ComUE), 2016. http://www.theses.fr/2016PSLED017/document.

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Dans cette thèse, notre but est de donner un cadre numérique général pour approcher les solutions des problèmes du transport optimal (TO). L’idée générale est d’introduire une régularisation entropique du problème initial. Le problème régularisé correspond à minimiser une entropie relative par rapport à une mesure de référence donnée. En effet, cela équivaut à trouver la projection d’un couplage par rapport à la divergence de Kullback-Leibler. Cela nous permet d’utiliser l’algorithme de Bregman/Dykstra et de résoudre plusieurs problèmes variationnels liés au TO. Nous nous intéressons particulièrement à la résolution des problèmes du transport optimal multi-marges (TOMM) qui apparaissent dans le cadre de la dynamique des fluides (équations d’Euler incompressible à la Brenier) et de la physique quantique (la théorie de fonctionnelle de la densité ). Dans ces cas, nous montrons que la régularisation entropique joue un rôle plus important que de la simple stabilisation numérique. De plus, nous donnons des résultats concernant l’existence des transports optimaux (par exemple des transports fractals) pour le problème TOMM
In this thesis we aim at giving a general numerical framework to approximate solutions to optimal transport (OT) problems. The general idea is to introduce an entropic regularization of the initialproblems. The regularized problem corresponds to the minimization of a relative entropy with respect a given reference measure. Indeed, this is equivalent to find the projection of the joint coupling with respect the Kullback-Leibler divergence. This allows us to make use the Bregman/Dykstra’s algorithm and solve several variational problems related to OT. We are especially interested in solving multi-marginal optimal transport problems (MMOT) arising in Physics such as in Fluid Dynamics (e.g. incompressible Euler equations à la Brenier) and in Quantum Physics (e.g. Density Functional Theory). In these cases we show that the entropic regularization plays a more important role than a simple numerical stabilization. Moreover, we also give some important results concerning existence and characterization of optimal transport maps (e.g. fractal maps) for MMOT
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Jeong, Young-Sik. "Optimal military transportation in a Korean wartime theater." Thesis, Monterey California. Naval Postgraduate School, 2006. http://hdl.handle.net/10945/2439.

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Due to their high dependency on highway transportation, Republic of Korea's (ROK's) military and industry suffer from congestion, shortfall of means (convoys in the military case), high cost and increase in environmental damage. Our research develops an optimization model to guide TOK's military planning using multi-modal transportation. We apply our Military Logistics Transportation Model (MLTM) to a realistic scenario. MLTM provides guidance on the optimal frequency of transportation services and the optimal routes for the freight. By comparing the solution of MLTM with current practice for Wartime Transportation Planning (represented by a heuristic method), our MLTM can reduce the transportation cost up to 29%. This is enabled by the activitation of multi-modal transportation and service sharing by multiple demands. We also analyze scenarios in which either sea-port of debarkation (SPOD) where the supply originates has been shut down by enemy attacks. We find that losing Busan SPOD is more damaging than losing Kwangyang SPOD.
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Lai, Ming Fai. "Optimal assignment of ferry fleet for waterborne transportation /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202002%20LAI.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002.
Includes bibliographical references (leaves 60-61). Also available in electronic version. Access restricted to campus users.
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Bardelloni, Mauro. "The decomposition of optimal transportation problems with convex cost." Doctoral thesis, SISSA, 2014. http://hdl.handle.net/20.500.11767/3902.

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Books on the topic "Optimal Transportation"

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Pajot, Herve, Yann Ollivier, and Cedric Villani, eds. Optimal Transportation. Cambridge: Cambridge University Press, 2009. http://dx.doi.org/10.1017/cbo9781107297296.

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Mikami, Toshio. Stochastic Optimal Transportation. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1754-6.

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Topics in optimal transportation. Providence, RI: American Mathematical Society, 2003.

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Ambrosio, Luigi, Luis A. Caffarelli, Yann Brenier, Giuseppe Buttazzo, Cedric Villani, and Sandro Salsa. Optimal Transportation and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/b12016.

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Optimal transportation: Theory and applications. Cambridge, United Kingdom: Cambridge University Press, 2014.

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Buttazzo, Giuseppe, Aldo Pratelli, Eugene Stepanov, and Sergio Solimini. Optimal Urban Networks via Mass Transportation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85799-0.

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Optimal urban networks via mass transportation. Berlin: Springer, 2008.

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Buttazzo, Giuseppe. Optimal urban networks via mass transportation. Berlin: Springer, 2008.

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Jim, Sullivan. Efficiency in transportation: Optimal transit networks for Vermont. Burlington, VT: The University of Vermont Transportation Research Center, 2012.

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Nowlan, David M. Optimal pricing of urban trips with budget restrictions and distributional concerns. Toronto: Dept. of Economics and Institute for Policy Analysis, University of Toronto, 1992.

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Book chapters on the topic "Optimal Transportation"

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Teodorović, Dušan, and Miloš Nikolić. "Optimal paths." In Quantitative Methods in Transportation, 77–100. First edition. | Boca Raton, FL : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429286919-2.

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Klötzler, Rolf. "Restricted Optimal Transportation Flows." In Variational Calculus, Optimal Control and Applications, 15–20. Basel: Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8802-8_2.

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Villani, Cédric. "Geometry of optimal transportation." In Graduate Studies in Mathematics, 47–105. Providence, Rhode Island: American Mathematical Society, 2003. http://dx.doi.org/10.1090/gsm/058/03.

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Mikami, Toshio. "Stochastic Optimal Transportation Problem." In SpringerBriefs in Mathematics, 21–75. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1754-6_2.

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Buttazzo, Giuseppe, and Luigi De Pascale. "Optimal Shapes and Masses, and Optimal Transportation Problems." In Optimal Transportation and Applications, 11–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44857-0_2.

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Caffarelli, Luis A. "The Monge-Ampère Equation and Optimal Transportation, an elementary review." In Optimal Transportation and Applications, 1–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44857-0_1.

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Villani, Cedric. "Optimal transportation, dissipative PDE’s and functional inequalities." In Optimal Transportation and Applications, 53–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44857-0_3.

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Brenier, Yann. "Extended Monge-Kantorovich Theory." In Optimal Transportation and Applications, 91–121. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44857-0_4.

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Ambrosio, Luigi, and Aldo Pratelli. "Existence and stability results in the L1 theory of optimal transportation." In Optimal Transportation and Applications, 123–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44857-0_5.

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Bakry, Dominique, Ivan Gentil, and Michel Ledoux. "Optimal Transportation and Functional Inequalities." In Grundlehren der mathematischen Wissenschaften, 433–69. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00227-9_9.

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Conference papers on the topic "Optimal Transportation"

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Osiadacz and Swierczewski. "Optimal control of gas transportation systems." In Proceedings of IEEE International Conference on Control and Applications CCA-94. IEEE, 1994. http://dx.doi.org/10.1109/cca.1994.381219.

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Zhang, Youzhi, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, and Nicholas R. Jennings. "Optimal Escape Interdiction on Transportation Networks." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/550.

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Preventing crimes or terrorist attacks in urban areas is challenging. Law enforcement officers need to respond quickly to catch the attacker on his escape route, which is subject to time-dependent traffic conditions on transportation networks. The attacker can strategically choose his escape path and driving speed to avoid being captured. Existing work on security resource allocation has not considered such scenarios with time-dependent strategies for both players. Therefore, in this paper, we study the problem of efficiently scheduling security resources for interdicting the escaping attacker. We propose: 1) a new defender-attacker security game model for escape interdiction on transportation networks; and 2) an efficient double oracle algorithm to compute the optimal defender strategy, which combines mixed-integer linear programming formulations for best response problems and effective approximation algorithms for improving the scalability of the algorithms. Experimental evaluation shows that our approach significantly outperforms baselines in solution quality and scales up to realistic-sized transportation networks with hundreds of intersections.
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Mi, Liang, Wen Zhang, Junwei Zhang, Yonghui Fan, Dhruman Goradia, Kewei Chen, Eric M. Reiman, Xianfeng Gu, and Yalin Wang. "An Optimal Transportation Based Univariate Neuroimaging Index." In 2017 IEEE International Conference on Computer Vision (ICCV). IEEE, 2017. http://dx.doi.org/10.1109/iccv.2017.29.

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Stephanedes, Y. J., E. Kwon, S. G. Tzafestas, and C. Botsaris. "Optimal control of nonlinear dynamic transportation systems." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.203898.

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Zhang, Tianyun, and Makan Fardad. "On the Optimal Interdiction of Transportation Networks." In 2020 American Control Conference (ACC). IEEE, 2020. http://dx.doi.org/10.23919/acc45564.2020.9147435.

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Rioul, Olivier. "Optimal transportation to the entropy-power inequality." In 2017 Information Theory and Applications Workshop (ITA). IEEE, 2017. http://dx.doi.org/10.1109/ita.2017.8023467.

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Rodrigo, Carlson,. "Optimal Mainstream Traffic Flow Control of Motorway Networks." In Control in Transportation Systems, edited by Chassiakos, Anastasios, Chair De Schutter, and Ioannou, Petros. Elsevier, 2009. http://dx.doi.org/10.3182/20090902-3-us-2007.00001.

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FONTE, M. "AN OPTIMAL TRANSPORTATION METRIC FOR TWO NONLINEAR PDE'S." In Proceedings of the 6th International ISAAC Congress. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789812837332_0038.

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Karamlou, Aman, and Paolo Bocchini. "Optimal Bridge Restoration Sequence for Resilient Transportation Networks." In Structures Congress 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413357.127.

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Andrei, Geanina, Catherine Mancel, and Felix Mora-Camino. "Optimal Allocation of Transportation Aircraft Actuators During Maneuver." In 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-5851.

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Reports on the topic "Optimal Transportation"

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McKenna, Mike, and Stavros A. Zenios. An Optimal Parallel Implementation of a Quadratic Transportation Algorithm. Fort Belvoir, VA: Defense Technical Information Center, March 1990. http://dx.doi.org/10.21236/ada459551.

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Woods, A. L., E. Miller-Hooks, and H. S. Mahmassani. Optimal routing of hazardous substances in time-varying, stochastic transportation networks. Office of Scientific and Technical Information (OSTI), July 1998. http://dx.doi.org/10.2172/663396.

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Ukkusuri, Satish, Stanislav Sobolevsky, Milind Kulkarni, Zengxiang Lei, Jiawei Xue, Xinwu Qian, Charitha Saumya, et al. Multi-modal Energy-optimal Trip Scheduling in Real-time (METS-R) for Transportation Hubs. Office of Scientific and Technical Information (OSTI), March 2022. http://dx.doi.org/10.2172/1859675.

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Gombeda, Matthew, Estevan Rivera, and Zoe Lallas. Optimal Approach for Addressing Reinforcement Corrosion for Concrete Bridge Decks in Illinois. Illinois Center for Transportation, April 2022. http://dx.doi.org/10.36501/0197-9191/22-005.

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This report presents the results of a comprehensive literature review focusing on corrosion performance of reinforced concrete bridge decks, with a particular emphasis on the relative performance of alternative corrosion-resistant reinforcement types. Examples of alternative corrosion-protection options examined herein include epoxy-coated, galvanized, stainless-steel, and A1035 bars, considering conventional black reinforcing bars as the standard. Based upon the results of the literature review, a framework for determining the optimal reinforcement option for a bridge deck is presented as a function of the properties of each reinforcement type and other factors, such as design service life, location of the bridge, estimated maintenance/repair cycles, and relative costs. Several examples are also provided to demonstrate the procedure for using the framework and its applicability for different bridge types with varying design considerations, such as a congested urban artery and a rural interstate. The literature review findings and the optimal approach framework were crafted for use by bridge design engineers as preliminary guidance when determining the type of reinforcement for a given bridge deck and its corresponding conditions. Furthermore, the approach can also be used by Illinois Department of Transportation officials when deciding whether to invest in higher performing corrosion-protection systems for a given application or for updating current bridge design policies to reflect the latest developments in alternative corrosion-resistant reinforcement options.
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Asvapathanagul, Pitiporn, Leanne Deocampo, and Nicholas Banuelos. Biological Hydrogen Gas Production from Food Waste as a Sustainable Fuel for Future Transportation. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2021.2141.

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In the global search for the right alternative energy sources for a more sustainable future, hydrogen production has stood out as a strong contender. Hydrogen gas (H2) is well-known as one of the cleanest and most sustainable energy sources, one that mainly yields only water vapor as a byproduct. Additionally, H2 generates triple the amount of energy compared to hydrocarbon fuels. H2 can be synthesized from several technologies, but currently only 1% of H2 production is generated from biomass. Biological H2 production generated from anaerobic digestion is a fraction of the 1%. This study aims to enhance biological H2 production from anaerobic digesters by increasing H2 forming microbial abundance using batch experiments. Carbon substrate availability and conversion in the anaerobic processes were achieved by chemical oxygen demand and volatile fatty acids analysis. The capability of the matrix to neutralize acids in the reactors was assessed using alkalinity assay, and ammonium toxicity was monitored by ammonium measurements. H2 content was also investigated throughout the study. The study's results demonstrate two critical outcomes, (i) food waste as substrate yielded the highest H2 gas fraction in biogas compared to other substrates fed (primary sludge, waste activated sludge and mixed sludge with or without food waste), and (ii) under normal operating condition of anaerobic digesters, increasing hydrogen forming bacterial populations, including Clostridium spp., Lactococcus spp. and Lactobacillus spp. did not prolong biological H2 recovery due to H2 being taken up by other bacteria for methane (CH4) formation. Our experiment was operated under the most optimal condition for CH4 formation as suggested by wastewater operational manuals. Therefore, CH4-forming bacteria possessed more advantages than other microbial populations, including H2-forming groups, and rapidly utilized H2 prior to methane synthesis. This study demonstrates H2 energy renewed from food waste anaerobic digestion systems delivers opportunities to maximize California’s cap-and-trade program through zero carbon fuel production and utilization.
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Asvapathanagul, Pitiporn, Leanne Deocampo, and Nicholas Banuelos. Biological Hydrogen Gas Production from Food Waste as a Sustainable Fuel for Future Transportation. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2022.2141.

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In the global search for the right alternative energy sources for a more sustainable future, hydrogen production has stood out as a strong contender. Hydrogen gas (H2) is well-known as one of the cleanest and most sustainable energy sources, one that mainly yields only water vapor as a byproduct. Additionally, H2 generates triple the amount of energy compared to hydrocarbon fuels. H2 can be synthesized from several technologies, but currently only 1% of H2 production is generated from biomass. Biological H2 production generated from anaerobic digestion is a fraction of the 1%. This study aims to enhance biological H2 production from anaerobic digesters by increasing H2 forming microbial abundance using batch experiments. Carbon substrate availability and conversion in the anaerobic processes were achieved by chemical oxygen demand and volatile fatty acids analysis. The capability of the matrix to neutralize acids in the reactors was assessed using alkalinity assay, and ammonium toxicity was monitored by ammonium measurements. H2 content was also investigated throughout the study. The study's results demonstrate two critical outcomes, (i) food waste as substrate yielded the highest H2 gas fraction in biogas compared to other substrates fed (primary sludge, waste activated sludge and mixed sludge with or without food waste), and (ii) under normal operating condition of anaerobic digesters, increasing hydrogen forming bacterial populations, including Clostridium spp., Lactococcus spp. and Lactobacillus spp. did not prolong biological H2 recovery due to H2 being taken up by other bacteria for methane (CH4) formation. Our experiment was operated under the most optimal condition for CH4 formation as suggested by wastewater operational manuals. Therefore, CH4-forming bacteria possessed more advantages than other microbial populations, including H2-forming groups, and rapidly utilized H2 prior to methane synthesis. This study demonstrates H2 energy renewed from food waste anaerobic digestion systems delivers opportunities to maximize California’s cap-and-trade program through zero carbon fuel production and utilization.
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Mwamba, Isaiah C., Mohamadali Morshedi, Suyash Padhye, Amir Davatgari, Soojin Yoon, Samuel Labi, and Makarand Hastak. Synthesis Study of Best Practices for Mapping and Coordinating Detours for Maintenance of Traffic (MOT) and Risk Assessment for Duration of Traffic Control Activities. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317344.

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Maintenance of traffic (MOT) during construction periods is critical to the success of project delivery and the overall mission of transportation agencies. MOT plans may include full road closures and coordination of detours near construction areas. Various state DOTs have designed their own manuals for detour mapping and coordination. However, very limited information is provided to select optimal detour routes. Moreover, closures or detours should provide not only measurable consequences, such as vehicle operating costs and added travel time, but also various unforeseen qualitative impacts, such as business impacts and inconvenience to local communities. Since the qualitative aspects are not easily measurable they tend to be neglected in systematic evaluations and decision-making processes. In this study, the current practices obtained based on an extensive literature review, a nation-wide survey, as well as a series of interviews with INDOT and other state DOTs are leveraged to (1) identify a comprehensive set of Key Performance Indicators (KPIs) for detour route mapping, (2) understand how other state DOTs address the qualitative criteria, (3) identify how the involved risks during the planning, service time, and closure of the detour routes are managed, and (4) recommend process improvements for INDOT detour mapping guidelines. As demonstrated by two sample case studies, the proposed KPIs can be taken as a basis for developing a decision-support tool that enables decision-makers to consider both qualitative and quantitative aspects for optimal detour route mapping. In addition, the current INDOT detour policy can be updated based on the proposed process improvements.
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Iyer, Ananth V., Samuel Labi, Steven R. Dunlop, Dutt J. Thakkar, Sayak Mishra, Lavanya Krishna Kumar, Runjia Du, Miheeth Gala, Apoorva Banerjee, and Gokul Siddharthan. Heavy Fleet and Facilities Optimization. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317365.

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The Indiana Department of Transportation (INDOT) is responsible for timely clearance of snow on state-maintained highways in Indiana as part of its wintertime operations. For this and other maintenance purposes, the state’s subdistricts maintain 101 administrative units spread throughout the state. These units are staffed by personnel, including snow truck drivers and house snow removal trucks and other equipment. INDOT indicated a need to carry out value engineering analysis of the replacement timing of the truck fleet. To address these questions, this study carried out analysis to ascertain the appropriate truck replacement age, that is different across each of the state's three weather-based regions to minimize the truck life cycle cost. INDOT also indicated a need for research guidance in possible revisions to the administrative unit locations and optimal routes to be taken by trucks in each unit in order to reduce deadhead miles. For purposes of optimizing the truck snow routes, the study developed two alternative algorithmic approaches. The first uses mathematical programming to select work packets for trucks while ensuring that snow is cleared at all snow routes and allowing the users to identify optimal route and unit location. The second approach uses network routing concepts, such as the rural postman problem, and allows the user to change the analysis inputs, such as the number of available drivers and so on. The first approach developed using opensolver (an open source tool with excel) and the second approach coded as an electronic tool, are submitted as part of this report. Both approaches can be used by INDOT’s administrative unit managers for decision support regarding the deployment of resources for snow clearing operations and to minimize the associated costs.
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Qamhia, Issam, Erol Tutumluer, and Han Wang. Aggregate Subgrade Improvements Using Quarry By-products: A Field Investigation. Illinois Center for Transportation, June 2021. http://dx.doi.org/10.36501/0197-9191/21-017.

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This report presents a case study for constructing aggregate subgrade improvement (ASI) layers using quarry by-product aggregates (QBA), a quarry mix of large primary crushed rocks (PCR) and sand-sized quarry fines. The construction took place at Larry Power Road in Bourbonnais Township in Kankakee County, Illinois, where the Illinois Department of Transportation placed two QBA mixes. The first mix (QBA_M1) consisted of 45% quarry by-products and 55% railroad ballast–sized 3×1 PCR. The second mix (QBA_M2) consisted of 31% and 69% quarry by-products and PCR, respectively. Two conventional ASI sections were also constructed conforming to Illinois Department of Transportation’s CS02 gradation. All sections consisted of a 9 in. (229 mm) QBA/PCR layer topped with a 3 in. (76 mm) dense-graded capping layer. Laboratory studies preceded the construction to recommend optimum quarry by-product content in the QBA materials and construction practice. The Illinois Center for Transportation research team monitored the quality and uniformity of the construction using nondestructive testing techniques such as dynamic cone penetrometer, lightweight deflectometer, and falling weight deflectometer. The segregation potential was monitored by visual inspection and imaging-based techniques. Short-term field evaluation of the constructed QBA layers, particularly QBA_M2 with a 31% quarry by-product content, showed no evidence of abnormal segregation and did not jeopardize the structural integrity of the QBA ASI layers, which had slightly lower but comparable strength and stiffness profiles to the conventional ASI sections. The use of QBA materials in ASI was field validated as a sustainable construction practice to provide stable pavement foundation layers.
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Wei, Fulu, Ce Wang, Xiangxi Tian, Shuo Li, and Jie Shan. Investigation of Durability and Performance of High Friction Surface Treatment. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317281.

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The Indiana Department of Transportation (INDOT) completed a total of 25 high friction surface treatment (HFST) projects across the state in 2018. This research study attempted to investigate the durability and performance of HFST in terms of its HFST-pavement system integrity and surface friction performance. Laboratory tests were conducted to determine the physical and mechanical properties of epoxy-bauxite mortar. Field inspections were carried out to identify site conditions and common early HFST distresses. Cyclic loading test and finite element method (FEM) analysis were performed to evaluate the bonding strength between HFST and existing pavement, in particular chip seal with different pretreatments such as vacuum sweeping, shotblasting, and scarification milling. Both surface friction and texture tests were undertaken periodically (generally once every 6 months) to evaluate the surface friction performance of HFST. Crash records over a 5-year period, i.e., 3 years before installation and 2 years after installation, were examined to determine the safety performance of HFST, crash modification factor (CMF) in particular. It was found that HFST epoxy-bauxite mortar has a coefficient of thermal expansion (CTE) significantly higher than those of hot mix asphalt (HMA) mixtures and Portland cement concrete (PCC), and good cracking resistance. The most common early HFST distresses in Indiana are reflective cracking, surface wrinkling, aggregate loss, and delamination. Vacuum sweeping is the optimal method for pretreating existing pavements, chip seal in particular. Chip seal in good condition is structurally capable of providing a sound base for HFST. On two-lane highway curves, HFST is capable of reducing the total vehicle crash by 30%, injury crash by 50%, and wet weather crash by 44%, and providing a CMF of 0.584 in Indiana. Great variability may arise in the results of friction tests on horizontal curves by the use of locked wheel skid tester (LWST) due both to the nature of vehicle dynamics and to the operation of test vehicle. Texture testing, however, is capable of providing continuous texture measurements that can be used to calculate a texture height parameter, i.e., mean profile depth (MPD), not only for evaluating friction performance but also implementing quality control (QC) and quality assurance (QA) plans for HFST.
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