You searched for +publisher:"University of Florida" +contributor:("Lawphongpanich, Siriphong").
Showing records 1 – 13 of
13 total matches.
No search limiters apply to these results.
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
URL: https://ufdc.ufl.edu/UFE0046824 
► 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)
▼ 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 provide a clear and better understanding of the demand forecasts for a future year. GPS based surveys have picked up lot of momentum in the recent past and the usage of the same data for the research helps lapse many limitations that are being caused due to the telephone based or other ways of route choice surveys. These GPS surveys give a clear picture of the actual chosen route. Although the data is available in a more accurate manner, it also takes in equally difficult amount of post processing and analysis of the GPS data to come up with proper understanding of the route choice. This study positions itself in the same context looking at the route choice as an alternative chosen from a set of alternatives that are potentially available for the traveler or decision maker. ( en )
Advisors/Committee Members: SRINIVASAN,SIVARAMAKRISHNAN (committee chair), RAJAPAKSHE,THARANGA (committee member), LAWPHONGPANICH,SIRIPHONG (committee member).
Subjects/Keywords: Expressways; Left turns; Observed choices; Right turns; Roads; Route choice; Speed; Transportation; Travel time; Trip length; choiceset – choicesetcomposition – discretechoicemodels – routechoicemodels
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0044466
► 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)
▼ 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 specifically, in the first part, the link distribution percentage and special generator methods for performing traffic impact analysis are compared and enhanced; and in the second part, the impacts of adopting a mileage fee in
Florida are assessed. In
Florida, both the link distribution percentage and special generator methods are used to conduct traffic impact analysis. However, there is no systematic research to show whether these two methods produce similar results or if one outperforms the other. This dissertation describes an empirical study that compares these two methods. Based on the study, these two methods are observed to produce fairly consistent estimates of traffic impacts caused by the chosen hypothetical scenarios. As the link distribution percentage approach is easier to implement,this dissertation recommends this less cumbersome approach. However, both of the above mentioned approaches estimate development trips on each link from the path flow or origin-destination (O-D) specific link flow distribution. Since these two flow distributions may not be uniquely determined, an open question remains regarding the selection of a particular flow distribution as the basis for traffic impact studies. This dissertation suggests using the mean of all the path or O-D specific user equilibrium solutions as the basis for traffic impact studies. The second part of the dissertation examines the impacts of implementing mileage fees in
Florida. Four different mileage fee structures are tested. The result shows that the distributional impacts of the revenue-neutral fee are negligible. However, flat fees are found to be regressive at higher rates. In contrast, step fee, a two-level tariff structure is found to be less regressive. Fees based on vehicle fuel efficiency and vehicle type are found to be environmentally friendly, but areas regressive as flat fees. This dissertation suggests that a complex mileage fee structure is needed to balance the spatial distribution of the impacts,reduce the regressive nature of the fee, generate sufficient revenue, protect the environment, and achieve other objectives simultaneously. ( en )
Advisors/Committee Members: Yin, Yafeng (committee chair), Elefteriadou, Ageliki L (committee member), Washburn, Scott S (committee member), Srinivasan, Sivaramakrishnan (committee member), Lawphongpanich, Siriphong (committee member).
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 )
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0046869
► 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)
▼ 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 propel the vehicles. PEVs include battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). Interests in PEVs have increased dramatically in recent years due to advances in battery technologies, rising prices of petroleum, and growing concern over environment issues. Many governments have incentive policies, such as offering purchase subsidies and deploying public charging infrastructure in convenient locations, to promote the deployment of PEVs.
Advisors/Committee Members: YIN,YAFENG (committee chair), WASHBURN,SCOTT STUART (committee member), SRINIVASAN,SIVARAMAKRISHNAN (committee member), LAWPHONGPANICH,SIRIPHONG (committee member).
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
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0024494
► 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)
▼ 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. Congestion pricing has been promoted by economists and transportation researchers as one of the most efficient means to mitigate traffic congestion because it employs the price mechanism with almost all the advantages of efficiency, universality and clarity. When tolls implemented on highway lanes vary by the time of day, with higher values charged during peak traffic periods, it is called as dynamic tolling. The tolled lanes are High Occupancy/ Toll Lanes (HOT) if the high occupancy vehicles are allowed to use the lanes toll-free. As the literature review indicates, many studies have been conducted to determine optimal dynamic tolls than can be implemented to roads with high congestion levels. However, most of these studies take into consideration idealized and hypothetical situations in order to derive solutions. For instance, the travel demand is assumed to be known as well as motorists' willingness to pay, i.e., how much money they are likely to pay for using the managed facility. In addition, there is not any model that takes into consideration uncertainty of demand or capacity for the determination of the toll values. Therefore, this thesis develops a more robust and proactive approach to determine time-varying tolls for HOT lanes in response to real-time traffic conditions. The toll rates are optimized to provide free-flow conditions to managed lanes while maximizing freeway's throughput. The approach consists of several key components, including demand learning and scenario-based robust toll optimization. Simulation experiments are conducted to validate and demonstrate the proposed approach. ( en )
Advisors/Committee Members: Yin, Yafeng (committee chair), Lawphongpanich, Siriphong (committee member), Elefteriadou, Ageliki L. (committee member).
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
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0046978
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
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0021583
► 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)
▼ 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 cost and quality. Because of variability in the arrival of patients and in the delivery of health care services, successfully meeting the demand for health care services is a daunting task that requires an understanding of the inherent trade-off between its cost and quality of service. In our work, we model the general health care systems as queueing stations and incorporate queueing theory into an optimization framework. The queueing modeling approach captures the stochastic nature of arrivals and service times that is typical in health care systems. The optimization framework determines the minimum cost capacity (e.g., health care teams, beds) required to achieve a target level of customer service. The queueing equations lead to nonlinear equations in the model. In addition, for the types of health care organizations we are considering, capacity is typically available only in discrete options (e.g., number of employees or beds). Thus, the capacity planning models of interest are nonlinear optimization problems with integer variables. We develop effective solution algorithms to obtain high quality solutions particularly for realistic-sized problems. For the analysis of underlying queuing systems, we either use available results from the literature or develop approximations. For the solution of optimization models, we employ network optimization, meta-heuristic, and Lagrangian relaxation approaches to develop effective solution algorithms. We present results from extensive computational experiments to demonstrate the computational efficiency and effectiveness of the proposed solution approaches. ( en )
Advisors/Committee Members: Akcali, Elif (committee chair), AitSahlia, Farid (committee member), Lawphongpanich, Siriphong (committee member), Boykin, P. Oscar (committee member).
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
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0043702
► 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)
▼ 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, most deals with auto-based evacuation. Unfortunately, many people in risk areas do not own or have access to private vehicles during evacuation. Recent experiences with Hurricane Katrina and Rita in 2005 have highlighted a need for a plan to evacuate those who depend on public transportation. These include individuals without access to private vehicles, the poor and elderly, tourists and people with medical needs. Despite a great deal of attention and focus towards transit evacuation planning since 2005, deficiencies still remain in the emergency response plans using public transportation. There are very few attempts in the literature on modeling of transit-based evacuation.
Advisors/Committee Members: Yin, Yafeng (committee chair), Srinivasan, Sivaramakrishnan (committee member), Elefteriadou, Ageliki L (committee member), Lawphongpanich, Siriphong (committee member).
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
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0024719
► 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)
▼ 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 clusters offer a potential opportunity to shift these limits. Unfortunately, most existing serial algorithms are not easily adaptable to parallel computing systems. The objective of this work is to provide new algorithmic methods that can be easily and effectively scaled to parallel systems with large numbers of processing units. We concentrate on a scalability that comes from running a set of independent algorithms in parallel. We investigate the relationship between the parallel acceleration and properties of serial algorithms. In this dissertation, we present the algorithms based on Global Equilibrium Search method and Tabu Search method for Unconstrained Binary Quadratic Problem, Weighted MAX-SAT problem and Job Shop Scheduling Problem. These algorithm demonstrate the state-of-the-art performance comparing to the latest published work in the field. ( en )
Advisors/Committee Members: Pardalos, Panagote M. (committee chair), Smith, Jonathan (committee member), Lawphongpanich, Siriphong (committee member), Uryasev, Stanislav (committee member), Hager, William W. (committee member).
Subjects/Keywords: Algorithms; Combinatorial optimization; Computer programming; Heuristics; Job shops; Mathematical vectors; Matrices; Operations research; Scheduling; Taboos; optimization, parallel, portfolio, quadratic, restart, scheduling
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0043721
► 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)
▼ 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 of pricing projects worldwide and growing government support, congestion pricing remains largely unappealing to the general public, and it is this lack of public support that impedes its further development and implementation. This dissertation focuses on a class of congestion pricing strategies that is Pareto-improving (i.e., a pricing scheme that benefits society while ensuring that no one in the system is worse off). It is believed that such pricing strategies should be able to gain more public acceptance.
Advisors/Committee Members: Yin, Yafeng (committee chair), Elefteriadou, Ageliki L (committee member), Washburn, Scott S (committee member), Srinivasan, Sivaramakrishnan (committee member), Lawphongpanich, Siriphong (committee member).
Subjects/Keywords: Flow distribution; Marginal cost pricing; Mathematical vectors; Pricing; Rationing; Tolls; Traffic congestion; Transportation; Travel costs; Travel time; congestion – pricing – transportation
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0024767
► 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)
▼ 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 urban transportation networks. Within the framework, toll determination is decomposed into two levels: network and facilities. Empirical studies have discovered that travelers have a strong preference for simple system-wide pricing structures. For example, dynamic network pricing models are not only difficult to implement, more importantly, their pricing signals are also too complicated for travelers to understand and consequently change their travel behaviors. On the other hand, time-varying tolls at particular facilities, such as managed lanes, are acceptable and effective. Therefore, tolls at these two levels should follow different strategies due to their distinctive purposes and travelers' different response abilities. At the network level, we propose a robust static or time-of-day pricing policy to avoid complex toll structures while ensuring the network to perform reasonably well against a variety of uncertainties. Sources of uncertainty in transportation networks consist of not only randomness in demand and supply, but also travelers' stochastic and irrational behaviors. This dissertation investigates one of the uncertainties resulting from boundedly rational route-choice behaviors. Users with bounded rationality seek for acceptable paths rather than a necessarily minimum one. Boundedly rational user equilibrium (BRUE) flow distribution is generally non-unique and can be characterized as a non-convex and non-empty path flow set. A more restrictive link-based representation is also presented. A robust pricing scheme is determined by solving a nonlinear mathematical program with complementarity constraints to minimize the system travel time of the worst-case tolled BRUE flow distribution. At some critical facilities, the toll scheme determined at the network level may be further adjusted in response to real-time traffic conditions. This dissertation focuses on developing pricing strategies for managed toll lanes. Adaptive tolls may be adopted in order to provide a superior free-flow travel service to the users of the toll lanes while maximizing the freeway's throughput. Two sensible and practically implementable approaches, one feedback and one self-learning, are proposed. The self-learning approach monitors conditions of the facility through both direct observation and real-time estimation, and learns recursively motorists' willingness to pay and short-term future demand by mining the traffic data from sensors. In determination of the tolls, a detailed modeling of drivers' lane-choice behavior and traffic dynamics is adopted to explicitly consider their impacts on the performance of the facility. In summary, based on practical considerations of pricing, robust time-of-day tolls are proposed for the entire network while adaptive tolls are advocated for special facilities. This composes a hierarchical congestion pricing framework for a…
Advisors/Committee Members: Yin, Yafeng (committee chair), Elefteriadou, Ageliki L. (committee member), Washburn, Scott S. (committee member), Srinivasan, Sivaramakrishnan (committee member), Lawphongpanich, Siriphong (committee member).
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
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0021691
► 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)
▼ 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 measuring quantitative data sensitive to the water molecular diffusion, DW-MRI provides valuable information for neuronal connectivity inference and brain developmental studies. The broad aim of this dissertation is to develop mathematical models and computational tools for quantifying and extracting information contained in diffusion MR images. One of the fundamental problems in DW-MRI analysis is the mathematical modeling of the MR signal attenuation in a voxel in the presence of multiple fiber bundles. In this dissertation, we present a novel mathematical model and accompanying efficient algorithms for this problem. Our model uses a continuous probability distribution over the space of symmetric positive definite matrices and is general enough to model water molecular diffusion in a variety of situations involving complex tissue geometry including single and multiple fiber bundle occurrences. We show that the diffusion MR signals and the probability distributions for positive definite matrix-valued random variables are related by the Laplace transform defined on the space of symmetric positive definite (SPD) matrices. Another interesting observation is that when the mixing distribution is parameterized by Wishart distributions, the resulting close form of Laplace transform leads to a Rigaut-type fractal expression. This Rigaut-type function exhibits the expected asymptotic power-law behavior and has been phenomenologically used in the past to explain the MR signal decay but never with a rigorous mathematical justification until the development of the proposed model. Furthermore, both the traditional diffusion tensor model and the multi-tensor model can be interpreted as special cases of this continuous mixture of tensors model. In tackling the challenging problem of multi-fiber reconstruction from the diffusion MR images, we further develop the mixture of Wisharts (MOW) model, as a natural parametrization of the desired tensor distribution function, to describe complex tissue structure involving multiple fiber populations. The multi-fiber reconstruction using the proposed MOW model essentially leads to an inverse problem. Computational methods for solving this inverse problem are investigated under a unified deconvolution framework which also includes several existing model-based approaches. Finally, the theoretical framework we have developed for modeling and reconstruction of diffusion weighted MRI has been tested on simulated data and real rat brain data sets. The comparisons with several competing methods empirically suggest that the proposed model combined with a non-negative least squares deconvolution method yields efficient and accurate solution for the multi-fiber reconstruction problem in the presence of intra voxel orientational heterogeneity. ( en )
Advisors/Committee Members: Vemuri, Baba C. (committee chair), Rangarajan, Anand (committee member), Banerjee, Arunava (committee member), Sahni, Sartaj (committee member), Lawphongpanich, Siriphong (committee member).
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
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0042077
► 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)
▼ 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. Representing the uncertain parameter of interest as a number of scenarios and the corresponding probabilities of occurrence, the stochastic programming approach optimizes signal timings with respect to a set of high-consequence or worst-case scenarios. The resulting signal timing plans produce smaller delays and less vehicular emissions under those scenarios, thereby leading to more reliable and sustainable mobility. To illustrate the stochastic programming approach, below are three applications in traffic signal timing. The first application is to optimize the settings of fixed-time signals along arterials under day-to-day demand variations or uncertain future traffic growth. Based on a cell-transmission representation of traffic dynamics, an integrated stochastic programming model is formulated to determine cycle length, green splits, phase sequences and offsets that minimize the expected delay incurred by high-consequence scenarios of traffic demand. The stochastic programming model is simple in structure but contains a large number of binary variables. Existing algorithms, such as branch and bound, are not able to solve it efficiently. Consequently, a simulation-based genetic algorithm is developed to solve the model. The model and algorithm are validated and verified using two networks, under congested and uncongested traffic conditions. The second application further considers traffic emissions, and develops a bi-objective optimization model to make an explicit tradeoff between traffic delays and roadside human emission exposure. Based on the cell-transmission representation of traffic dynamics, a modal sensitive emission approach is used to estimate the tailpipe emission rate for each cell of a signalized arterial. A cell-based Gaussian plume air dispersion model is then employed to capture the dispersion of air pollutants and compute the roadside pollutant concentrations. Given a stochastic distribution of the wind speed and direction of a corridor, a scenario-based stochastic program is formulated to optimize the cycle length, phase splits, offsets and phase sequences of signals along a corridor simultaneously. A genetic algorithm is further developed to solve the bi-objective optimization problem for a set of Pareto optimal solutions. The solutions form an efficient frontier that presents explicit tradeoffs between total delay of the corridor and the human emission exposure of the roadside area incurred by high-consequence scenarios. The last application is to synchronize actuated signals along arterials for smooth and stable progression under uncertain traffic conditions, mainly addressing the issue of uncertain (not fixed) starts/ends of green of sync phases. The model developed is based on Little?s mixed-integer linear programming (MIP) formulation, which determines, e.g., offsets and progression speed…
Advisors/Committee Members: Yin, Yafeng (committee chair), Elefteriadou, Ageliki L. (committee member), Washburn, Scott S. (committee member), Srinivasan, Sivaramakrishnan (committee member), Lawphongpanich, Siriphong (committee member).
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
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
URL: https://ufdc.ufl.edu/UFE0043253
► 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)
▼ 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 the world have gained more support for the policy from transportation authorities and government officials, congestion pricing is still facing strong objection among the general public. This dissertation explores technical approaches to improve the public acceptability of congestion pricing and develops more acceptable and equitable pricing schemes on general multimodal transportation networks. The models proposed in this dissertation provide good tools for government agencies to develop congestion mitigation policies that proactively address the concerns of the general public and thus are more likely to gain their supports.
Advisors/Committee Members: Yin, Yafeng (committee chair), Elefteriadou, Ageliki L (committee member), Washburn, Scott S (committee member), Srinivasan, Sivaramakrishnan (committee member), Lawphongpanich, Siriphong (committee member).
Subjects/Keywords: Pricing; Public policy; Tolls; Tours; Traffic congestion; Transportation; Travel costs; Travel demand; Travel time; Travelers; acceptable – congestion – credit – equity – multimodal – pareto – pricing
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
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
. 
Open Access Theses and Dissertations