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Title: Online Parameter Learning for Structural Condition Monitoring System.
Creator: Alqazzaz, Jaffar, Jang, Jinwoo, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: The purpose of online parameter learning and modeling is to validate and restore the properties of a structure based on legitimate observations. Online parameter learning assists in determining the unidentified characteristics of a structure by offering enhanced predictions of the vibration responses of the system. From the utilization of modeling, the predicted outcomes can be produced with a minimal amount of given measurements, which can be compared to the true response of the system. In...
Show moreThe purpose of online parameter learning and modeling is to validate and restore the properties of a structure based on legitimate observations. Online parameter learning assists in determining the unidentified characteristics of a structure by offering enhanced predictions of the vibration responses of the system. From the utilization of modeling, the predicted outcomes can be produced with a minimal amount of given measurements, which can be compared to the true response of the system. In this simulation study, the Kalman filter technique is used to produce sets of predictions and to infer the stiffness parameter based on noisy measurement. From this, the performance of online parameter identification can be tested with respect to different noise levels. This research is based on simulation work showcasing how effective the Kalman filtering techniques are in dealing with analytical uncertainties of data.
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Date Issued: 2020
PURL: http://purl.flvc.org/fau/fd/FA00013540
Subject Headings: Kalman filtering, Kalman filtering--Data processing, Simulations, Parameter estimation
Format: Document (PDF)

Title: ESTABLISHING A SCREENING TOOL TO SUPPORT DEVELOPMENT AND PRIORITIZATION OF WATERSHED BASED FLOOD PROTECTION PLANS.
Creator: Rojas, Gerardo, Bloetscher, Frederick, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Flood risk analysis is the instrument for utility managers to create a sound strategy and adaptation plans into their communities. Local municipalities are being continuously challenged every year by the impacts of climate change. The need to develop a screening tool to analyze watersheds and find risk areas is the goal of this research. Open source high-quality data is allowing climate scientists to create innovative ways to study watersheds when performing spatial analysis for inundation...
Show moreFlood risk analysis is the instrument for utility managers to create a sound strategy and adaptation plans into their communities. Local municipalities are being continuously challenged every year by the impacts of climate change. The need to develop a screening tool to analyze watersheds and find risk areas is the goal of this research. Open source high-quality data is allowing climate scientists to create innovative ways to study watersheds when performing spatial analysis for inundation areas. The development procedures for a screening tool involved combining readily available data on topography, groundwater, surface water, tidal information for coastal communities, soils, open space, and rainfall data. All efforts to help develop a planning level framework that allows investigators to target the optimal set of outcomes for a given community. This framework appears to be viable across cities that may be inundated with water due to sea-level rise, rainfall, runoff upstream, and other natural events.
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Date Issued: 2020
PURL: http://purl.flvc.org/fau/fd/FA00013538
Subject Headings: Watersheds, Floods--Risk assessment, Watersheds--Analysis, Flood protection
Format: Document (PDF)

Title: DEVELOPMENT OF GUIDELINES FOR IMPLEMENTATION OF FREIGHT AND TRANSIT SIGNAL PRIORITIES TO ENHANCE ROAD TRAFFIC SUSTAINABILITY.
Creator: Ardalan, Taraneh, Kaisar, Evangelos I., Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Lately, the attractiveness of cities has contributed to a rise in vehicle movements to and from cities. The growth of freight movements in cities predictably will be one of the critical issues of the near future. Congestion caused by the increased movements of freight impacts the flow of private and transit vehicles. Thus, it is crucial to reduce the congestion on multimodal corridors. Components of the Intelligent Transportation System (ITS) such as Freight Signal Priority (FSP) and Transit...
Show moreLately, the attractiveness of cities has contributed to a rise in vehicle movements to and from cities. The growth of freight movements in cities predictably will be one of the critical issues of the near future. Congestion caused by the increased movements of freight impacts the flow of private and transit vehicles. Thus, it is crucial to reduce the congestion on multimodal corridors. Components of the Intelligent Transportation System (ITS) such as Freight Signal Priority (FSP) and Transit Signal Priority (TSP) that promote the freight and transit vehicles may not only help solve these conditions but may assist with the sustainability of the system. The primary objective of this research is to develop guidelines for traffic agencies to implement signal priorities based on identified decision factors on certain corridors. Besides, this study evaluates the efficiency of FSP and TSP in improving the performance of freight and transit systems. Finally, inclusive guidelines are drawn up based on the literature and the conducted simulation. The developed guidelines apply to corridors where freight delay plays a vital role in the assessment of corridor benefits.
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Date Issued: 2020
PURL: http://purl.flvc.org/fau/fd/FA00013484
Subject Headings: Freight and freightage, Traffic signs and signals—Control systems, Traffic congestion, Freight transportation
Format: Document (PDF)

Title: OBJECT-BASED LAND COVER CLASSIFICATION OF UAV TRUE COLOR IMAGERY.
Creator: Castillo, Stephen M., Nagarajan, Sudhagar, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Land cover classification is necessary for understanding the state of the surface of the Earth at varying regions of interest. Knowledge of the Earth’s surface is critical in land-use planning, especially for the project study area Jupiter Inlet Lighthouse Outstanding Natural Area, where various vegetation, wild-life, and cultural components rely on adequate land-cover knowledge. The purpose of this research is to demonstrate the capability of UAV true color imagery for land cover...
Show moreLand cover classification is necessary for understanding the state of the surface of the Earth at varying regions of interest. Knowledge of the Earth’s surface is critical in land-use planning, especially for the project study area Jupiter Inlet Lighthouse Outstanding Natural Area, where various vegetation, wild-life, and cultural components rely on adequate land-cover knowledge. The purpose of this research is to demonstrate the capability of UAV true color imagery for land cover classification. In addition to the objective of land cover classification, comparison of varying spatial resolutions of the imagery will be analyzed in the accuracy assessment of the output thematic maps. These resolutions will also be compared at varying training sample sizes to see which configuration performed best.
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Date Issued: 2020
PURL: http://purl.flvc.org/fau/fd/FA00013454
Subject Headings: Land cover, Unmanned aerial vehicles, Drone aircraft in remote sensing, Images, Classification
Format: Document (PDF)

Title: A Mathematical Modeling Approach Using Time Constraints: The Case of Economies of Scale and Sustainability in Intermodal Facilities.
Creator: Goulianou, Panagiota, Kaisar, Evangelos I., Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Over the last thirty years, intermodal freight transportation has been a constantly expanding sector. The vast increase of freight volumes contributes to the increase of various issues in the freight corridors as well as the urban environment. The deterioration of congestion in the urban environment and the increase on freight movements on the highways have resulted in the increase of emissions. For this reason, new policies and regulations are put forth to address the environmental effects...
Show moreOver the last thirty years, intermodal freight transportation has been a constantly expanding sector. The vast increase of freight volumes contributes to the increase of various issues in the freight corridors as well as the urban environment. The deterioration of congestion in the urban environment and the increase on freight movements on the highways have resulted in the increase of emissions. For this reason, new policies and regulations are put forth to address the environmental effects of freight transportation. This study deals with the intermodal freight network design problem from the shipping company's perspective, aiming to simultaneously minimize emission levels and cost of freight transportation. We propose a mathematical model for optimizing the design of an intermodal freight network and the location of intermodal hubs between the origins and the destinations, under delivery time constraints. The goal is to identify the mode choice patterns considering transport cost and emissions, and the effects of new emission regulations on network costs. We consider a network with marine terminals as the origins, inland intermodal terminals as the hubs, and fulfillment centers as the destinations. Numerical experiments highlight that the proposed model can provide useful insights to the shipper.
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Date Issued: 2020
PURL: http://purl.flvc.org/fau/fd/FA00013439
Subject Headings: Intermodal transportation, Containerization, Containerization--Mathematical models, Container ships--Environmental aspects, Economies of scale
Format: Document (PDF)

Title: Non Destructive Testing for the Influence of Infill Pattern Geometry on Mechanical Stiffness of 3D Printing Materials.
Creator: Hlinka, Michael, Jang, Jinwoo, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: This experiment investigated the effect of infill pattern shape on structural stiffness for 3D printed components made out of carbon fiber reinforced nylon. In order to determine the natural frequency of each specimen, nondestructive vibrational testing was conducted and processed using data acquisition software. After obtaining the acceleration information of each component, in response to ambient vibrational conditions and excitation, frequency response functions were generated. These...
Show moreThis experiment investigated the effect of infill pattern shape on structural stiffness for 3D printed components made out of carbon fiber reinforced nylon. In order to determine the natural frequency of each specimen, nondestructive vibrational testing was conducted and processed using data acquisition software. After obtaining the acceleration information of each component, in response to ambient vibrational conditions and excitation, frequency response functions were generated. These functions provided the natural frequency of each component, making it possible to calculate their respective stiffness values. The four infill patterns investigated in this experiment were: Zig Zag, Tri-Hex, Triangle, and Concentric. Results of the experiment showed that changing the infill pattern of a 3D printed component, while maintaining a constant geometry and density, could increase mechanical stiffness properties by a factor of two. Comprehensively, the experiment showed that infill pattern geometry directly attributes to the mechanical stiffness of 3D printed components.
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Date Issued: 2020
PURL: http://purl.flvc.org/fau/fd/FA00013470
Subject Headings: 3D printing, Three-dimensional printing--Materials, Materials--Mechanical properties
Format: Document (PDF)

Title: DEVELOPMENT OF A BIOSENSOR FOR OBJECTIVELY QUANTIFYING ODORANTS.
Creator: Rahman, Sharmily, Meeroff, Daniel E., Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Nuisance odor levels produced by solid waste management operations are subject to regulatory standards due to their impacts on the quality of life of the residents living nearby the facility. Failure to meet regulatory standards may result in fines, litigation, inability to acquire permits, mitigation, and re-siting operations. Since measurement of environmental nuisance odors is currently limited to subjective techniques, monitoring odor levels to meet such standards is often problematic....
Show moreNuisance odor levels produced by solid waste management operations are subject to regulatory standards due to their impacts on the quality of life of the residents living nearby the facility. Failure to meet regulatory standards may result in fines, litigation, inability to acquire permits, mitigation, and re-siting operations. Since measurement of environmental nuisance odors is currently limited to subjective techniques, monitoring odor levels to meet such standards is often problematic. This is becoming more acute as increasing residential populations begin to encroach on properties adjacent to landfills. In order to ensure that nuisance odor issues are minimized, it is necessary to provide an objective measurement. The objective of the current research is to develop a biosensor for providing an objective, standard measurement of odors. The approach is to modify the human odorant binding protein (hOBPIIa), isolated using published biomolecular techniques, by fluorescently tagging it with a chromophore functional group. When this protein is tagged with a fluorophore marker and excited in a spectrofluorometer, it emits light of a certain wavelength that can be detected and quantified. Once odorant molecules are exposed to this complex, they start replacing the fluorophore, and as a result, the emitted light intensity decreases in proportion to the number of odorant molecules. Since the protein response depends on odorant concentration, following an inverse Beer’s Law relationship, the odorants can be quantified accurately and rapidly using fluorometric measurements. The results establish quantitation ranges for different pure and mixture of odorant gases as well as the amount of gas that can be quantified across various flow rates.
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Date Issued: 2020
PURL: http://purl.flvc.org/fau/fd/FA00013491
Subject Headings: Biosensors, Odors--Measurement, Landfills, Odorant-binding protein, Fluorescence--Measurement
Format: Document (PDF)

Title: CRITICAL EVALUATION OF LEACHATE CLOGGING POTENTIAL IN GRAVITY COLLECTION SYSTEMS AND MANAGEMENT SOLUTIONS.
Creator: Shaha, Bishow Nath, Meeroff, Daniel E., Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Leachate clogging in the Leachate Collection System (LCS) due to chemical precipitations and biofilms produced by microbial activities is a common phenomenon in any Municipal Solid Waste (MSW) landfill. This study focuses on quantifying the factors that impact the micro-environment of leachate; and microbial activities that help the precipitates to form and attach to the LCS. It also evaluates the performance of operational changes that have been implemented or the potential alternatives and...
Show moreLeachate clogging in the Leachate Collection System (LCS) due to chemical precipitations and biofilms produced by microbial activities is a common phenomenon in any Municipal Solid Waste (MSW) landfill. This study focuses on quantifying the factors that impact the micro-environment of leachate; and microbial activities that help the precipitates to form and attach to the LCS. It also evaluates the performance of operational changes that have been implemented or the potential alternatives and recommends the possible measures to reduce the severity of clogging. A field scale side-by-side pipe network, and several laboratory setups were used in this study. Calcite is identified to be the predominant phase present in the precipitates using XRD/XRF analysis which, concur with the previous studies. Microbial growth and activities enhance the precipitation of CaCO3 in LCS. Clogging in LCS pipes can be controlled if not eliminated by continuous monitoring along with frequent cleaning with physiochemical processes.
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Date Issued: 2020
PURL: http://purl.flvc.org/fau/fd/FA00013493
Subject Headings: Leachate, Solid waste management, Sanitary landfills, Calcite, Leachate--Purification
Format: Document (PDF)

Title: 2006-2007 Program Review Civil Engineering.
Creator: Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2006-2007
PURL: http://purl.flvc.org/fau/fd/FA00007721
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Civil, Environmental, and Geomatics Engineering.
Creator: Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2009-2010
PURL: http://purl.flvc.org/fau/fd/FA00007726
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Civil, Environmental, and Geomatics Engineering.
Creator: Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2010-2011
PURL: http://purl.flvc.org/fau/fd/FA00007729
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Civil, Environmental, and Geomatics Engineering.
Creator: Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2012-2013
PURL: http://purl.flvc.org/fau/fd/FA00007732
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Civil, Environmental, and Geomatics Engineering.
Creator: Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2013-2014
PURL: http://purl.flvc.org/fau/fd/FA00007735
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Civil, Environmental, and Geomatics Engineering.
Creator: Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2014-2015
PURL: http://purl.flvc.org/fau/fd/FA00007738
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Civil, Environmental, and Geomatics Engineering.
Creator: Florida Atlantic UniversityFAU Office of Institutional Effectiveness & Analysis, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2015-2016
PURL: http://purl.flvc.org/fau/fd/FA00007741
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: 2009-2010 Program Review Civil, Environmental, and Geomatics Engineering.
Creator: Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Florida Atlantic University Departmental Dashboard Indicators. Department program reviews for College of Engineering and Computer Science, Florida Atlantic University.
Date Issued: 2016-2017
PURL: http://purl.flvc.org/fau/fd/FA00007744
Subject Headings: Florida Atlantic University -- History
Format: Document (PDF)

Title: INFLUENCES OF CLIMATE CHANGE AND VARIABILITY ON BASEFLOWS.
Creator: Chen, Hao, Teegavarapu, Ramesh S. V., Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Baseflow is the portion of the streamflow that is sustained between precipitation events, fed to streams by delayed pathways. Baseflow estimation and evaluation are two critical and essential tasks for water quality and quantity, drought management, water supply, and groundwater protection. In this research study, the influences of climate change and variability on baseflow derived from hundreds of watersheds in the continental United States are evaluated. Baseflows are estimated using...
Show moreBaseflow is the portion of the streamflow that is sustained between precipitation events, fed to streams by delayed pathways. Baseflow estimation and evaluation are two critical and essential tasks for water quality and quantity, drought management, water supply, and groundwater protection. In this research study, the influences of climate change and variability on baseflow derived from hundreds of watersheds in the continental United States are evaluated. Baseflows are estimated using streamflow data from these watersheds that are least affected by anthropogenic influences. In the initial phase of the study, an exhaustive evaluation of four different baseflow separation methods is carried out using streamflow data at several sites from the South Atlantic-Gulf region which includes a geographical region comprising of nine states in the southeastern U.S. Baseflows are estimated at different temporal scales and are used to assess the performances of different methods over a 44-year period starting from the year 1970 and the best method among these methods is selected for further analysis. Assessments of climate change influence on baseflows are then carried out using two nonparametric statistical trend tests (viz., Spearman’s Rho (SR) and Mann-Kendall (MK)). Trends in baseflows are evaluated at 574 sites located within the watersheds in the U.S. that are known to be least impacted by human influences. Trends were determined for annual maximum, mean, and median baseflows for the period 1970-2013. Spatially non-uniform trends and changes in characteristics of baseflows and strong influences of past precipitation events on the baseflow extremes were noted across the continental U.S. Some regions have shown decreasing baseflow trends and these are cause for concern and have severe implications for drought mitigation plans and low-flow management strategies in several watersheds in the U.S. In the final phase of the study influences of climate variability on baseflow manifested through different phases of individual and coupled oceanic and atmospheric oscillations are evaluated. Baseflows at 574 sites separated by temporal windows that coincide with two or more phases of different decadal, quasi-decadal and multi-year oscillations (viz., Pacific decadal oscillation (PDO), North Atlantic oscillation (NAO), Atlantic multidecadal oscillation (AMO), and El Niño-southern oscillation (ENSO)) are evaluated for statistically significant changes using nonparametric statistical hypothesis tests. Results from the study indicate that unlike climate change influences, climate variability effects are noted only in few specific physiographic regions of the U.S. This study documents an exhaustive and comprehensive assessment of changes in baseflows due to changing climate and results from this work can aid in short- and long-term management of low flows at a regional level that supports sustainable aquatic environment and handle droughts effectively.
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Date Issued: 2019
PURL: http://purl.flvc.org/fau/fd/FA00013366
Subject Headings: Climatic changes, Streamflow, Base flow (Hydrology)
Format: Document (PDF)

Title: SUPPORTED ERYTHROCYTE MEMBRANES ON PIEZOELECTRIC SENSORS FOR STUDYING THE INTERACTIONS BETWEEN NANOPARTICLES AND SURFACES OF RED BLOOD CELLS.
Creator: Islam, Tanaz, Yi, Peng, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: The Supported red blood cell membrane (SRBCm) was developed on a piezoelectric sensor to study the attachment of nanoparticles to erythrocyte surfaces. A well-dispersed colloidal suspension of fragments of RBCm was prepared from whole blood, and characterized thoroughly using cryogenic transmission electron microscopy, dynamic light scattering, and zeta potential analysis. To develop SRBCm, RBCm fragments were immobilized onthe sensor in a quartz crystal microbalance with dissipation...
Show moreThe Supported red blood cell membrane (SRBCm) was developed on a piezoelectric sensor to study the attachment of nanoparticles to erythrocyte surfaces. A well-dispersed colloidal suspension of fragments of RBCm was prepared from whole blood, and characterized thoroughly using cryogenic transmission electron microscopy, dynamic light scattering, and zeta potential analysis. To develop SRBCm, RBCm fragments were immobilized onthe sensor in a quartz crystal microbalance with dissipation monitoring system. A complete monolayer of flattened fragments of RBCm was formed on the positively charged surface of the piezoelectric sensor in 1 mM NaCl and 0.2 mM NaHCO3 at pH 7.1. The surface morphology of SRBCm was characterized via atomic force microscopy. The even distribution of surface proteins expressed on erythrocytes was found on SRBCm through indirect immunofluorescence microscopy. The attachment efficiencies of model nanoparticles, e.g. hematite nanoparticles and carboxylated polystyrene nanoparticles, on the SRBCm were quantified using a classic methodology. KEYWORDS: Supported erythrocyte membrane, piezoelectric sensor, phospholipid bilayers, nanoparticles
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Date Issued: 2019
PURL: http://purl.flvc.org/fau/fd/FA00013383
Subject Headings: Erythrocyte Membrane, Piezoelectric polymer biosensors, Nanoparticles, Phospholipid bilayers, Bilayer lipid membranes
Format: Document (PDF)

Title: EVALUATION OF THEORETICAL AND PRACTICAL SIGNAL OPTIMIZATION TOOLS IN MICROSIMULATION ENVIRONMENT.
Creator: Al shayeb, Suhaib, Stevanovic, Aleksandar, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description: Traffic simulation and signal timing optimization are classified in structure into two main categories: (i) Macroscopic or Microscopic; (ii) Deterministic or Stochastic. Performance of the optimized signal timing derived by any tool is influenced by the methodology used in how calculations are executed in a particular tool. In this study, the performance of the optimal signal timing plans developed by two of the most popular traffic analysis tools, HCS and Tru-Traffic, each of them has its...
Show moreTraffic simulation and signal timing optimization are classified in structure into two main categories: (i) Macroscopic or Microscopic; (ii) Deterministic or Stochastic. Performance of the optimized signal timing derived by any tool is influenced by the methodology used in how calculations are executed in a particular tool. In this study, the performance of the optimal signal timing plans developed by two of the most popular traffic analysis tools, HCS and Tru-Traffic, each of them has its inbuilt objective function(s) to optimize signal timing for intersection, is compared with an ideal and an existing timing plans (base case) for the area of study using the microsimulation software VISSIM. An urban arterial with 29 intersections and high traffic in Fort Lauderdale, Florida serves as the test bed. To eliminate unfair superiority in the results, all experiments were performed under identical geometry and traffic conditions in each tool. Comparison of the optimized plans is conducted on the basis of average delay, average stopped delay, average number of stops, number of vehicles completed trips, latent delay, and latent demand from the simulated vehicle network performance evaluation results in VISSIM. The results indicate that, overall, HCS with its overall delay objective and the Tru-Traffic programs produce signal timing with comparable quality that performed similar to the un-optimized base case for most of the performance measures.
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Date Issued: 2019
PURL: http://purl.flvc.org/fau/fd/FA00013284
Subject Headings: Traffic simulation, Traffic signal timing, Microsimulation, Traffic signs and signals--Automatic control
Format: Document (PDF)

Title: MODIFYING SIGNAL RETIMING PROCEDURES AND POLICIES: A CASE OF HIGH-FIDELITY MODELING WITH MEDIUM-RESOLUTION DATA.
Creator: Dobrota, Nemanja, Stevanovic, Aleksandar, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description: Signal retiming, or signal optimization process, has not changed much over the last few decades. Traditional procedures rely on low-resolution data and a low-fidelity modeling approach. Such developed signal timing plans always require a fine-tuning process for deployed signal plans in field, thus questioning the very benefits of signal optimization. New trends suggest the use of high-resolution data, which are not easily available. At the same time, many improvements could be made if the...
Show moreSignal retiming, or signal optimization process, has not changed much over the last few decades. Traditional procedures rely on low-resolution data and a low-fidelity modeling approach. Such developed signal timing plans always require a fine-tuning process for deployed signal plans in field, thus questioning the very benefits of signal optimization. New trends suggest the use of high-resolution data, which are not easily available. At the same time, many improvements could be made if the traditional signal retiming process was modified to include the use of medium-resolution data and high-fidelity modeling. This study covers such an approach, where a traditional retiming procedure is modified to utilize large medium-resolution data sets, high-fidelity simulation models, and powerful stochastic optimization to develop robust signal timing plans. The study covers a 28-intersection urban corridor in Southeastern Florida. Medium-resolution data are used to identify peak-hour, Day-Of-Year (DOY) representative volumes for major seasons. Both low-fidelity and high-fidelity models are developed and calibrated with high precision to match the field signal operations. Then, by using traditional and stochastic optimization tools, signal timing plans are developed and tested in microsimulation. The findings reveal shortcomings of the traditional approach. Signal timing plans developed from medium-resolution data and high-fidelity modeling approach reduce average delay by 5%-26%. Travel times on the corridor are usually reduced by up to 10.5%, and the final solution does not transfer delay on the other neighboring streets (illustrated through latent delay), which is also decreased by 10%-49% when compared with the traditional results. In general, the novel approach has shown a great potential. The next step should be field testing and validation.
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Date Issued: 2019
PURL: http://purl.flvc.org/fau/fd/FA00013298
Subject Headings: Traffic signal timing, Traffic signs and signals--Automatic control, Traffic signs and signals--Research, Stochastic optimization
Format: Document (PDF)

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