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You searched for +publisher:"University of Florida" +contributor:("Lawphongpanich, Siriphong"). Showing records 1 – 13 of 13 total matches.

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University of Florida

1. Geda, Avinash. Effect of Choice Set Composition on Route Choice Models.

Degree: MS, Civil Engineering - Civil and Coastal Engineering, 2014, University of Florida

 Route choice models are the basis for the link level demand values. Unlike the traditional User Equilibrium and System Optimum models discrete level choice models… (more)

Subjects/Keywords: Expressways; Left turns; Observed choices; Right turns; Roads; Route choice; Speed; Transportation; Travel time; Trip length; choiceset  – choicesetcomposition  – discretechoicemodels  – routechoicemodels

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APA (6th Edition):

Geda, A. (2014). Effect of Choice Set Composition on Route Choice Models. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0046824

Chicago Manual of Style (16th Edition):

Geda, Avinash. “Effect of Choice Set Composition on Route Choice Models.” 2014. Masters Thesis, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0046824.

MLA Handbook (7th Edition):

Geda, Avinash. “Effect of Choice Set Composition on Route Choice Models.” 2014. Web. 05 Mar 2021.

Vancouver:

Geda A. Effect of Choice Set Composition on Route Choice Models. [Internet] [Masters thesis]. University of Florida; 2014. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0046824.

Council of Science Editors:

Geda A. Effect of Choice Set Composition on Route Choice Models. [Masters Thesis]. University of Florida; 2014. Available from: https://ufdc.ufl.edu/UFE0046824


University of Florida

2. Mamun, Md Shahid. Impact Analysis of Site Development and Mileage Fee.

Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2012, University of Florida

 This dissertation focuses on two types of impact studies: one is related to site developments; the other examines the socioeconomic effects of mileage fees. More… (more)

Subjects/Keywords: Business revenue; Consumer surplus; Entropy; Fees; Flow distribution; Fuel efficiency; Social welfare; Taxes; Transportation; Vehicles; average  – distribution  – fees  – generator  – link  – meue  – mileage  – nonuniqueness  – solution  – special  – tia  – vmt; Town of Suwannee ( local )

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APA (6th Edition):

Mamun, M. S. (2012). Impact Analysis of Site Development and Mileage Fee. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044466

Chicago Manual of Style (16th Edition):

Mamun, Md Shahid. “Impact Analysis of Site Development and Mileage Fee.” 2012. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0044466.

MLA Handbook (7th Edition):

Mamun, Md Shahid. “Impact Analysis of Site Development and Mileage Fee.” 2012. Web. 05 Mar 2021.

Vancouver:

Mamun MS. Impact Analysis of Site Development and Mileage Fee. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0044466.

Council of Science Editors:

Mamun MS. Impact Analysis of Site Development and Mileage Fee. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044466


University of Florida

3. He, Fang. Optimal Deployment and Operations of Public Charging Infrastructure for Plug-In Electric Vehicles.

Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2014, University of Florida

 Plug-in electric vehicles (PEVs) are vehicles whose battery packs can be recharged from power grids, and the electricity stored on board propels or contributes to… (more)

Subjects/Keywords: Algorithms; Batteries; Electric vehicles; Electricity; Energy consumption; Prices; Recharging; Transportation; Travel time; Vehicles; plug-in-electric-vehicles  – price-of-electricity  – public-charging-stations  – regional-level-budget-allocation  – urban-level-location

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APA (6th Edition):

He, F. (2014). Optimal Deployment and Operations of Public Charging Infrastructure for Plug-In Electric Vehicles. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0046869

Chicago Manual of Style (16th Edition):

He, Fang. “Optimal Deployment and Operations of Public Charging Infrastructure for Plug-In Electric Vehicles.” 2014. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0046869.

MLA Handbook (7th Edition):

He, Fang. “Optimal Deployment and Operations of Public Charging Infrastructure for Plug-In Electric Vehicles.” 2014. Web. 05 Mar 2021.

Vancouver:

He F. Optimal Deployment and Operations of Public Charging Infrastructure for Plug-In Electric Vehicles. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0046869.

Council of Science Editors:

He F. Optimal Deployment and Operations of Public Charging Infrastructure for Plug-In Electric Vehicles. [Doctoral Dissertation]. University of Florida; 2014. Available from: https://ufdc.ufl.edu/UFE0046869


University of Florida

4. Michalaka, Dimitra. Proactive and Robust Dynamic Pricing Strategies for High Occupancy/Toll Lanes.

Degree: MS, Civil Engineering - Civil and Coastal Engineering, 2009, University of Florida

 Congestion pricing is to reduce congestion in transportation infrastructure by charging motorists a certain amount of money-known as a toll-for the use of the roads.… (more)

Subjects/Keywords: Demand determinants; High occupancy toll lanes; Motor vehicle traffic; Pricing; Tolls; Traffic congestion; Traffic models; Transportation; Travel costs; Travel time; cell, congestion, demand, dynamic, high, hot, lanes, learning, managed, model, occupancy, optimization, pay, pricing, to, toll, transmission, willingness

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APA (6th Edition):

Michalaka, D. (2009). Proactive and Robust Dynamic Pricing Strategies for High Occupancy/Toll Lanes. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0024494

Chicago Manual of Style (16th Edition):

Michalaka, Dimitra. “Proactive and Robust Dynamic Pricing Strategies for High Occupancy/Toll Lanes.” 2009. Masters Thesis, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0024494.

MLA Handbook (7th Edition):

Michalaka, Dimitra. “Proactive and Robust Dynamic Pricing Strategies for High Occupancy/Toll Lanes.” 2009. Web. 05 Mar 2021.

Vancouver:

Michalaka D. Proactive and Robust Dynamic Pricing Strategies for High Occupancy/Toll Lanes. [Internet] [Masters thesis]. University of Florida; 2009. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0024494.

Council of Science Editors:

Michalaka D. Proactive and Robust Dynamic Pricing Strategies for High Occupancy/Toll Lanes. [Masters Thesis]. University of Florida; 2009. Available from: https://ufdc.ufl.edu/UFE0024494


University of Florida

5. Dang, Cong Dinh. Randomized First Order Methods for Convex and Nonconvex Optimization.

Degree: PhD, Industrial and Systems Engineering, 2015, University of Florida

In this dissertation, we propose some first order methods for solving various problems of convex Advisors/Committee Members: LAN,GUANGHUI (committee chair), LAWPHONGPANICH,SIRIPHONG (committee member), XIA,YE (committee member).

Subjects/Keywords: Algorithms; Approximation; Convexity; Coordinate systems; Datasets; Machine learning; Mathematical programming; Random variables; Saddle points; Systems engineering; first  – methods  – order  – randomized

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APA (6th Edition):

Dang, C. D. (2015). Randomized First Order Methods for Convex and Nonconvex Optimization. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0046978

Chicago Manual of Style (16th Edition):

Dang, Cong Dinh. “Randomized First Order Methods for Convex and Nonconvex Optimization.” 2015. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0046978.

MLA Handbook (7th Edition):

Dang, Cong Dinh. “Randomized First Order Methods for Convex and Nonconvex Optimization.” 2015. Web. 05 Mar 2021.

Vancouver:

Dang CD. Randomized First Order Methods for Convex and Nonconvex Optimization. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0046978.

Council of Science Editors:

Dang CD. Randomized First Order Methods for Convex and Nonconvex Optimization. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0046978


University of Florida

6. Lin, Jinyi. Optimization Models for Capacity Planning in Health Care Delivery.

Degree: PhD, Industrial and Systems Engineering, 2008, University of Florida

 Health care capacity planning is the art and science of predicting the quantity of resources required to deliver health care service at specified levels of… (more)

Subjects/Keywords: Capacity costs; Health care costs; Health care industry; Health planning; Hospital beds; Hospitals; Lagrangian function; Minimization of cost; Modeling; Operations research; capacity, healthcare, metaheuristic, optimization, queueing

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APA (6th Edition):

Lin, J. (2008). Optimization Models for Capacity Planning in Health Care Delivery. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0021583

Chicago Manual of Style (16th Edition):

Lin, Jinyi. “Optimization Models for Capacity Planning in Health Care Delivery.” 2008. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0021583.

MLA Handbook (7th Edition):

Lin, Jinyi. “Optimization Models for Capacity Planning in Health Care Delivery.” 2008. Web. 05 Mar 2021.

Vancouver:

Lin J. Optimization Models for Capacity Planning in Health Care Delivery. [Internet] [Doctoral dissertation]. University of Florida; 2008. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0021583.

Council of Science Editors:

Lin J. Optimization Models for Capacity Planning in Health Care Delivery. [Doctoral Dissertation]. University of Florida; 2008. Available from: https://ufdc.ufl.edu/UFE0021583


University of Florida

7. Kulshrestha, Ashish. Transit-Based Evacuation Planning Under Demand Uncertainty.

Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2011, University of Florida

 Evacuation planning has drawn a significant amount of attention over the past several decades. Previous studies have focused on different aspects of evacuation planning, however,… (more)

Subjects/Keywords: Disasters; Emergency evacuations; Emergency management; Hurricanes; Mathematical vectors; Robust optimization; Shelters; Transportation; Transportation planning; Travel demand; evacuation  – optimization  – pick-up  – planning  – shelter  – transit  – uncertainty

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APA (6th Edition):

Kulshrestha, A. (2011). Transit-Based Evacuation Planning Under Demand Uncertainty. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043702

Chicago Manual of Style (16th Edition):

Kulshrestha, Ashish. “Transit-Based Evacuation Planning Under Demand Uncertainty.” 2011. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0043702.

MLA Handbook (7th Edition):

Kulshrestha, Ashish. “Transit-Based Evacuation Planning Under Demand Uncertainty.” 2011. Web. 05 Mar 2021.

Vancouver:

Kulshrestha A. Transit-Based Evacuation Planning Under Demand Uncertainty. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0043702.

Council of Science Editors:

Kulshrestha A. Transit-Based Evacuation Planning Under Demand Uncertainty. [Doctoral Dissertation]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0043702


University of Florida

8. Shylo, Oleg. New Tools For Large-Scale Combinatorial Optimization Problems.

Degree: PhD, Industrial and Systems Engineering, 2009, University of Florida

 Many traditional algorithmic techniques used in combinatorial optimization have reached the computational limits of their scope. A relatively low cost and availability of parallel multi-core… (more)

Subjects/Keywords: Algorithms; Combinatorial optimization; Computer programming; Heuristics; Job shops; Mathematical vectors; Matrices; Operations research; Scheduling; Taboos; optimization, parallel, portfolio, quadratic, restart, scheduling

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APA (6th Edition):

Shylo, O. (2009). New Tools For Large-Scale Combinatorial Optimization Problems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0024719

Chicago Manual of Style (16th Edition):

Shylo, Oleg. “New Tools For Large-Scale Combinatorial Optimization Problems.” 2009. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0024719.

MLA Handbook (7th Edition):

Shylo, Oleg. “New Tools For Large-Scale Combinatorial Optimization Problems.” 2009. Web. 05 Mar 2021.

Vancouver:

Shylo O. New Tools For Large-Scale Combinatorial Optimization Problems. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0024719.

Council of Science Editors:

Shylo O. New Tools For Large-Scale Combinatorial Optimization Problems. [Doctoral Dissertation]. University of Florida; 2009. Available from: https://ufdc.ufl.edu/UFE0024719


University of Florida

9. Song, Ziqi. Pareto-Improving Pricing for Transportation Networks.

Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2011, University of Florida

 Since its inception over 90 years ago, congestion pricing has been recognized by many as an efficient method for alleviating traffic congestion. Despite the successes… (more)

Subjects/Keywords: Flow distribution; Marginal cost pricing; Mathematical vectors; Pricing; Rationing; Tolls; Traffic congestion; Transportation; Travel costs; Travel time; congestion  – pricing  – transportation

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APA (6th Edition):

Song, Z. (2011). Pareto-Improving Pricing for Transportation Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043721

Chicago Manual of Style (16th Edition):

Song, Ziqi. “Pareto-Improving Pricing for Transportation Networks.” 2011. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0043721.

MLA Handbook (7th Edition):

Song, Ziqi. “Pareto-Improving Pricing for Transportation Networks.” 2011. Web. 05 Mar 2021.

Vancouver:

Song Z. Pareto-Improving Pricing for Transportation Networks. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0043721.

Council of Science Editors:

Song Z. Pareto-Improving Pricing for Transportation Networks. [Doctoral Dissertation]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0043721


University of Florida

10. Lou, Yingyan. A Hierarchical Framework for Congestion Pricing of Transportation Networks.

Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2009, University of Florida

 To further advance road pricing to be a more efficient and pragmatic tool for congestion mitigation, this dissertation proposes a hierarchical congestion pricing framework for… (more)

Subjects/Keywords: Flow distribution; High occupancy toll lanes; Motor vehicle traffic; Pricing; Simulations; Tolls; Traffic congestion; Transportation; Travel time; Travelers; adaptive, bounded, congestion, network, pricing, rationality, transportation

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APA (6th Edition):

Lou, Y. (2009). A Hierarchical Framework for Congestion Pricing of Transportation Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0024767

Chicago Manual of Style (16th Edition):

Lou, Yingyan. “A Hierarchical Framework for Congestion Pricing of Transportation Networks.” 2009. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0024767.

MLA Handbook (7th Edition):

Lou, Yingyan. “A Hierarchical Framework for Congestion Pricing of Transportation Networks.” 2009. Web. 05 Mar 2021.

Vancouver:

Lou Y. A Hierarchical Framework for Congestion Pricing of Transportation Networks. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0024767.

Council of Science Editors:

Lou Y. A Hierarchical Framework for Congestion Pricing of Transportation Networks. [Doctoral Dissertation]. University of Florida; 2009. Available from: https://ufdc.ufl.edu/UFE0024767


University of Florida

11. Jian, Bing. Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2009, University of Florida

 Diffusion-weighted magnetic resonance imaging (DW-MRI) is a non-invasive imaging technique that allows neural tissue architecture to be probed at a microscopic scale in vivo. By… (more)

Subjects/Keywords: Diffusion coefficient; Diffusion magnetic resonance imaging; Fiber orientation; Imaging; Laplace transformation; Least squares; Magnetic resonance imaging; Matrices; Signals; Tensors; deconvolution, diffusion, dtmri, dwmri, hardi, mow, nnls

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APA (6th Edition):

Jian, B. (2009). Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0021691

Chicago Manual of Style (16th Edition):

Jian, Bing. “Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images.” 2009. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0021691.

MLA Handbook (7th Edition):

Jian, Bing. “Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images.” 2009. Web. 05 Mar 2021.

Vancouver:

Jian B. Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0021691.

Council of Science Editors:

Jian B. Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images. [Doctoral Dissertation]. University of Florida; 2009. Available from: https://ufdc.ufl.edu/UFE0021691


University of Florida

12. Zhang, Lihui. Signal Timing Optimization for Reliable and Sustainable Mobility.

Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2010, University of Florida

 This dissertation develops a stochastic programming approach to proactively consider a variety of uncertainties associated with signal timing optimization for fixed-time or actuated traffic signals.… (more)

Subjects/Keywords: Modeling; Motor vehicle traffic; Pollutant emissions; Propagation delay; Signals; Simulations; Traffic delay; Traffic flow; Traffic models; Transportation; actuated, bandwidth, cell, coordination, delay, demand, emission, genetic, optimization, pareto, robust, signal, simulation, stochastic, sustainable, timing, uncertainties

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APA (6th Edition):

Zhang, L. (2010). Signal Timing Optimization for Reliable and Sustainable Mobility. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0042077

Chicago Manual of Style (16th Edition):

Zhang, Lihui. “Signal Timing Optimization for Reliable and Sustainable Mobility.” 2010. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0042077.

MLA Handbook (7th Edition):

Zhang, Lihui. “Signal Timing Optimization for Reliable and Sustainable Mobility.” 2010. Web. 05 Mar 2021.

Vancouver:

Zhang L. Signal Timing Optimization for Reliable and Sustainable Mobility. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0042077.

Council of Science Editors:

Zhang L. Signal Timing Optimization for Reliable and Sustainable Mobility. [Doctoral Dissertation]. University of Florida; 2010. Available from: https://ufdc.ufl.edu/UFE0042077


University of Florida

13. Wu,Di. Designing More Acceptable and Equitable Congestion Pricing Schemes for Multimodal Transportation Networks.

Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2011, University of Florida

 Congestion pricing is to impose tolls on transportation facilities to influence people's travel choices in order to alleviate traffic congestion. Although recent successful implementations around… (more)

Subjects/Keywords: Pricing; Public policy; Tolls; Tours; Traffic congestion; Transportation; Travel costs; Travel demand; Travel time; Travelers; acceptable  – congestion  – credit  – equity  – multimodal  – pareto  – pricing

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APA (6th Edition):

Wu,Di. (2011). Designing More Acceptable and Equitable Congestion Pricing Schemes for Multimodal Transportation Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043253

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Wu,Di. “Designing More Acceptable and Equitable Congestion Pricing Schemes for Multimodal Transportation Networks.” 2011. Doctoral Dissertation, University of Florida. Accessed March 05, 2021. https://ufdc.ufl.edu/UFE0043253.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Wu,Di. “Designing More Acceptable and Equitable Congestion Pricing Schemes for Multimodal Transportation Networks.” 2011. Web. 05 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Wu,Di. Designing More Acceptable and Equitable Congestion Pricing Schemes for Multimodal Transportation Networks. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2021 Mar 05]. Available from: https://ufdc.ufl.edu/UFE0043253.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Wu,Di. Designing More Acceptable and Equitable Congestion Pricing Schemes for Multimodal Transportation Networks. [Doctoral Dissertation]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0043253

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

.