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Articles 1351 - 1380 of 10898
Full-Text Articles in Entire DC Network
Connectionless Edge-Cache Servers For Reducing Cellular Bandwidth Usage In Vehicular Networks, Rui Wang, Jayanthi Rao, Ce Zhou, Subir Biswas
Connectionless Edge-Cache Servers For Reducing Cellular Bandwidth Usage In Vehicular Networks, Rui Wang, Jayanthi Rao, Ce Zhou, Subir Biswas
Computer Science Faculty Research & Creative Works
This paper presents a novel caching mechanism based on Connectionless Edge Cache Servers in vehicular networks. The goal is to intelligently cache content within the vehicles and the edge servers so that majority of the vehiclerequested content can be obtained from those caches, thus minimizing the amount of cellular network usage needed for fetching content from a central server. A notable feature of the cache servers in this work is that they do not have backhaul connectivity. This makes the connectionless servers to be relatively less expensive compared to the usual Roadside Service Units (RSUs), and potentially moveable in response …
A Time Series Sustainability Assessment Of A Partial Energy Portfolio Transition, Jacob Hale, Suzanna Long
A Time Series Sustainability Assessment Of A Partial Energy Portfolio Transition, Jacob Hale, Suzanna Long
Engineering Management and Systems Engineering Faculty Research & Creative Works
Energy portfolios are overwhelmingly dependent on fossil fuel resources that perpetuate the consequences associated with climate change. Therefore, it is imperative to transition to more renewable alternatives to limit further harm to the environment. This study presents a univariate time series prediction model that evaluates sustainability outcomes of partial energy transitions. Future electricity generation at the state-level is predicted using exponential smoothing and autoregressive integrated moving average (ARIMA). The best prediction results are then used as an input for a sustainability assessment of a proposed transition by calculating carbon, water, land, and cost footprints. Missouri, USA was selected as a …
Cf⁺ Excitation In The Interstellar Medium, Benjamin Desrousseaux, François Lique, Javier R. Goicoechea, Ernesto Quintas-Sánchez, Richard Dawes
Cf⁺ Excitation In The Interstellar Medium, Benjamin Desrousseaux, François Lique, Javier R. Goicoechea, Ernesto Quintas-Sánchez, Richard Dawes
Chemistry Faculty Research & Creative Works
The detection of CF+ in interstellar clouds potentially allows astronomers to infer the elemental fluorine abundance and the ionization fraction in ultraviolet-illuminated molecular gas. Because local thermodynamic equilibrium (LTE) conditions are hardly fulfilled in the interstellar medium (ISM), the accurate determination of the CF+ abundance requires one to model its non-LTE excitation via both radiative and collisional processes. Here, we report quantum calculations of rate coefficients for the rotational excitation of CF+ in collisions with para- and ortho-H2 (for temperatures up to 150 K). As an application, we present non-LTE excitation models that reveal population inversion …
Finding All ∈-Good Arms In Stochastic Bandits, Blake Mason, Lalit Jain, Ardhendu S. Tripathy, Robert Nowak
Finding All ∈-Good Arms In Stochastic Bandits, Blake Mason, Lalit Jain, Ardhendu S. Tripathy, Robert Nowak
Computer Science Faculty Research & Creative Works
The pure-exploration problem in stochastic multi-armed bandits aims to find one or more arms with the largest (or near largest) means. Examples include finding an ∈-good arm, best-arm identification, top-k arm identification, and finding all arms with means above a specified threshold. However, the problem of finding all ∈-good arms has been overlooked in past work, although arguably this may be the most natural objective in many applications. For example, a virologist may conduct preliminary laboratory experiments on a large candidate set of treatments and move all ∈-good treatments into more expensive clinical trials. Since the ultimate clinical efficacy is …
Distributed De Novo Assembler For Large-Scale Long-Read Datasets, Sayan Goswami, Kisung Lee, Seung Jong Park
Distributed De Novo Assembler For Large-Scale Long-Read Datasets, Sayan Goswami, Kisung Lee, Seung Jong Park
Computer Science Faculty Research & Creative Works
Third-generation DNA sequencing technologies such as single-molecule real-time sequencing (SMRT) and nanopore sequencing have the potential to fill the gaps in the existing genome databases since the raw sequences produced by these machines are much longer than those of previous generations and therefore result in more contiguous assemblies. However, these long reads have a high error rate, which makes the assembly process computationally challenging. Moreover, since existing long-read assemblers are designed to run on a single machine, they either take days to complete or run out of memory on even moderate-sized datasets. In this paper, we present a distributed long-read …
Preparation And Characterization Of Silicon-Metal Fluoride Reactive Composites, Siva Kumar Valluri, Mirko Schoenitz, Edward Dreizin
Preparation And Characterization Of Silicon-Metal Fluoride Reactive Composites, Siva Kumar Valluri, Mirko Schoenitz, Edward Dreizin
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Fuel-rich composite powders combining elemental Si with the metal fluoride oxidizers BiF3 and CoF2 were prepared by arrested reactive milling. Reactivity of the composite powders was assessed using thermoanalytical measurements in both inert (Ar) and oxidizing (Ar/O2) environments. Powders were ignited using an electrically heated filament; particle combustion experiments were performed in room air using a CO2 laser as an ignition source. Both composites showed accelerated oxidation of Si when heated in oxidizing environments and ignited readily using the heated filament. Elemental Si, used as a reference, did not exhibit appreciable oxidation when heated under the same conditions and could …
Modular Framework For Implementation And Analysis Of Recursive Filters With Considered And Neglected Parameters, Kyle J. Demars, Kari C. Ward
Modular Framework For Implementation And Analysis Of Recursive Filters With Considered And Neglected Parameters, Kyle J. Demars, Kari C. Ward
Mechanical and Aerospace Engineering Faculty Research & Creative Works
This paper develops novel covariance and square-root factor formulations of a consider-neglect Kalman filter for navigation applications. The proposed filter partitions system parameters into three distinct categories: those to be estimated by the filter, those whose contribution to the system are considered without being explicitly estimated, and those with sufficiently low effect on the system such that their contribution can be neglected altogether. Discussion on appropriate selection of parameters to be considered and neglected is provided with specific attention given to descent-to-landing navigation. Monte Carlo simulations and analysis are performed to assess the performance of the developed square-root consider-neglect filter …
Coalescence Speed Of Two Equal-Sized Nanobubbles, Eric Bird, Jun Zhou, Zhi Liang
Coalescence Speed Of Two Equal-Sized Nanobubbles, Eric Bird, Jun Zhou, Zhi Liang
Mechanical and Aerospace Engineering Faculty Research & Creative Works
In This Work, We Use Molecular Dynamics (MD) Simulations Coupled with Continuum-Based Theoretical Analysis to Study the Coalescence Dynamics of Two Equal-Sized Nanobubbles (NBs). We First Derive a Governing Equation for the Evolution of the Capillary Bridge Radius between Two Coalescing NBs from the Axisymmetric Navier-Stokes Equation. to Verify the Prediction from the Governing Equation, We Carry Out MD Simulations of the Coalescence of Two NBs in a Lennard-Jones Fluid System and Directly Measure the Bridge Radius, Rb, as a Function of Time, T. by Varying the Bubble Diameter, We Change the NB Ohnesorge Number from 0.46 to 0.33. in …
Optimal Matching Reactance Design And Validation In Wireless Power Transfer System For Electric Vehicle Based On Sae J2954-Rp, Anfeng Huang, Dongwook Kim, Qiusen He, Hanyu Zhang, Yuyu Zhu, Hongseok Kim, Jun Fan
Optimal Matching Reactance Design And Validation In Wireless Power Transfer System For Electric Vehicle Based On Sae J2954-Rp, Anfeng Huang, Dongwook Kim, Qiusen He, Hanyu Zhang, Yuyu Zhu, Hongseok Kim, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
Wireless power transfer (WPT) is foreseen as a suitable technology to provide charging without cables to electric vehicles. The charging requires a specific charging profile for different type of battery. In addition, the loading condition of the charging circuit could change drastically as following the charging profile. Due to the dependencies on loading condition, the transmission efficiency of a WPT system could degrade during the charging process. Nevertheless, the sensitivity of efficiency to loading condition could be reduced with proper design of compensation network, e.g., LCC. In this paper, a SPICE-simulation based optimization flow is demonstrated for matching reactance optimization …
The Missouri Miner, November 4, 2020
The Missouri Miner, November 4, 2020
The Missouri Miner Newspaper
No abstract provided.
Investigation Of The Evaporation Rate Of Water From Colloidal Unimolecular Polymer (Cup) Systems By Isothermal Tga, Peng Geng, Ashish Zore, Michael R. Van De Mark
Investigation Of The Evaporation Rate Of Water From Colloidal Unimolecular Polymer (Cup) Systems By Isothermal Tga, Peng Geng, Ashish Zore, Michael R. Van De Mark
Chemistry Faculty Research & Creative Works
Studies of the evaporation of aqueous nanoparticle solutions have been limited due to lack of homogeneity of the solution, difficulties in obtaining reproducible samples and stability of substrates, as well as the effect of other volatile components or contaminants such as surfactants. Colloidal unimolecular polymer (CUP) is a spheroidal nanoparticle with charged hydrophilic groups on the surface, and the particle size ranges from 3 to 9 nm. The large amount of surface water on the CUP surface provides the opportunity to evaluate the evaporation of surface water, which may contribute to the investigation the factors that affect the evaporation rate …
A Family Of High Voltage Gain Three-Level Step-Up Converters For Photovoltaic Module Integration Applications, Ahmad Alzahrani, Pourya Shamsi, Mehdi Ferdowsi
A Family Of High Voltage Gain Three-Level Step-Up Converters For Photovoltaic Module Integration Applications, Ahmad Alzahrani, Pourya Shamsi, Mehdi Ferdowsi
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes a family of step-up three-level DC-DC converter topologies suitable for photovoltaic panel integration applications. The proposed family is suitable to convert the 10-30 V from photovoltaic panels to a 150 V direct current distribution bus. The proposed family enhances the three-level topology in terms of the voltage gain, power density, and filtering requirements at the input level. The filtration is reduced by interleaving. The three-level boost converter's voltage gain is enhanced by utilizing several options such as switched capacitor cells, switched inductor cells, and flyback transformers or coupled inductors. The enhancement techniques are illustrated by providing the …
Efficient Yield Estimation Of Multiband Patch Antennas By Polynomial Chaos-Based Kriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel
Efficient Yield Estimation Of Multiband Patch Antennas By Polynomial Chaos-Based Kriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Yield estimation of antenna systems is important to check their robustness with respect to the uncertain sources. Since direct Monte Carlo sampling of accurate physics-based models can be computationally intensive, this work proposes the use of the polynomial chaos–Kriging (PC-Kriging) metamodeling method for fast yield estimation of multiband patch antennas. PC-Kriging integrates the polynomial chaos expansion (PCE) as the trend function of Kriging metamodel since the PCE is good at capturing the function tendency and Kriging is good at matching the observations at training points. The PC-Kriging method is demonstrated on two analytical cases and two multiband patch antenna cases …
Detection Of Corrosion-Indicating Oxidation Product Colors In Steel Bridges Under Varying Illuminations, Shadows, And Wetting Conditions, Dayakar L. Naik, Hizb Ullah Sajid, Ravi Kiran, Genda Chen
Detection Of Corrosion-Indicating Oxidation Product Colors In Steel Bridges Under Varying Illuminations, Shadows, And Wetting Conditions, Dayakar L. Naik, Hizb Ullah Sajid, Ravi Kiran, Genda Chen
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Early detection of corrosion in steel bridges is essential for strategizing the mitigation of further corrosion damage. Although various image-based approaches are available in the literature for corrosion detection, most of these approaches are tested on images acquired under uniform natural daylight illuminations i.e., inherent variations in the ambient lighting conditions are ignored. Owing to the fact that varying natural daylight illuminations, shadows, water wetting, and oil wetting are unavoidable in real-world scenarios, it is important to devise a robust technique for corrosion identification. In the current study, four different color spaces namely ‘RGB’, ‘rgb’, ‘HSV’ and ‘CIE La*b*’ along …
Gwtc-2: Compact Binary Coalescences Observed By Ligo And Virgo During The First Half Of The Third Observing Run, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, Download The Pdf.
Gwtc-2: Compact Binary Coalescences Observed By Ligo And Virgo During The First Half Of The Third Observing Run, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, Download The Pdf.
Physics Faculty Research & Creative Works
We report on gravitational wave discoveries from compact binary coalescences detected by Advanced LIGO and Advanced Virgo between 1 April 2019 15:00 UTC and 1 October 2019 15:00 UTC. By imposing a false-alarm-rate threshold of two per year in each of the four search pipelines that constitute our search, we present 39 candidate gravitational wave events. At this threshold, we expect a contamination fraction of less than 10%. Of these, 26 candidate events were reported previously in near real-time through GCN Notices and Circulars; 13 are reported here for the first time. The catalog contains events whose sources are black …
Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli
Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
The role of human-machine teams in society is increasing, as big data and computing power explode. One popular approach to AI is deep learning, which is useful for classification, feature identification, and predictive modeling. However, deep learning models often suffer from inadequate transparency and poor explainability. One aspect of human systems integration is the design of interfaces that support human decision-making. AI models have multiple types of uncertainty embedded, which may be difficult for users to understand. Humans that use these tools need to understand how much they should trust the AI. This study evaluates one simple approach for communicating …
Faculty Senate Meeting Minutes Oct 22, 2020, Missouri University Of Science And Technology Faculty Senate
Faculty Senate Meeting Minutes Oct 22, 2020, Missouri University Of Science And Technology Faculty Senate
Minutes & Agendas
No abstract provided.
Competition Between Solvent-Solvent And Solvent-Solute Interactions In The Microhydration Of The Hexafluorophosphate Anion, Pf6⁻(H2o)N=1,2, Yasmeen A. Abdo, Gregory S. Tschumper
Competition Between Solvent-Solvent And Solvent-Solute Interactions In The Microhydration Of The Hexafluorophosphate Anion, Pf6⁻(H2o)N=1,2, Yasmeen A. Abdo, Gregory S. Tschumper
Chemistry Faculty Research & Creative Works
This study systematically examines the interactions of the hexafluorophosphate anion (PF6-) with one or two solvent water molecules (PF6-(H2O)n where n = 1, 2). Full geometry optimizations and subsequent harmonic vibrational frequency computations are performed on each stationary point using a variety of common density functional theory methods (B3LYP, B3LYP-D3, M06-2X, and ωB97XD) and the MP2 and CCSD(T) ab initio methods with a triple-ζ correlation consistent basis set augmented with diffuse functions on all non-hydrogen atoms (cc-pVTZ for H and aug-cc-pVTZ for P, O, and F; denoted as haTZ). Five new stationary …
The Missouri Miner, October 21, 2020
The Missouri Miner, October 21, 2020
The Missouri Miner Newspaper
No abstract provided.
Gate Diffusion Input Multi-Threshold Null Convention Logic Circuit Design Approach, Prashanthi Metku, Minsu Choi, Kyung Ki Kim, Yong Bin Kim
Gate Diffusion Input Multi-Threshold Null Convention Logic Circuit Design Approach, Prashanthi Metku, Minsu Choi, Kyung Ki Kim, Yong Bin Kim
Electrical and Computer Engineering Faculty Research & Creative Works
Multi-Threshold null convention logic (MTNCL) is a novel low power paradigm for designing asynchronous null convention logic (NCL) circuits. To further reduce the dynamic power consumption, a new methodology that utilizes gate diffusion input technique is proposed. The proposed approach is used to realize MTNCL gates and a decrease in the transistor count is observed that tend to reduce the dynamic power consumption. Compared to SMTNCL approach, the proposed methodology shows a 5.6% is reduction in the power consumption for the MTNCL gates.
Enhancement Of Fracture Toughness In Secondary Bonded Cfrp Using Hybrid Thermoplastic/Thermoset Bondline Architecture, A. Yudhanto, M. Almulhim, F. Kamal, R. Tao, L. Fatta, M. Alfano, G. Lubineau
Enhancement Of Fracture Toughness In Secondary Bonded Cfrp Using Hybrid Thermoplastic/Thermoset Bondline Architecture, A. Yudhanto, M. Almulhim, F. Kamal, R. Tao, L. Fatta, M. Alfano, G. Lubineau
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Structures made of carbon fiber-reinforced polymer (CFRP) can be assembled using adhesive bonding. However, such bonding is prone to brittle delamination, and a method to improve delamination resistance is desirable. Here, we propose a technique to introduce crack-arrest features that increase the R-curve response by engineering the adhesive bond line/interface. We specifically designed a wavy net-like thermoplastic insert that was embedded into the thermoset adhesive bond line where the new mechanisms of energy dissipation were generated. We demonstrate that the technique is effective at improving mode I fracture toughness of secondary bonded carbon/epoxy by more than 400%. The hybrid thermoset/thermoplastic …
The Missouri Miner, October 14, 2020
The Missouri Miner, October 14, 2020
The Missouri Miner Newspaper
No abstract provided.
The Application Of Fuzzy Analytic Hierarchy Process In Sustainable Project Selection, Rakan Alyamani, Suzanna Long
The Application Of Fuzzy Analytic Hierarchy Process In Sustainable Project Selection, Rakan Alyamani, Suzanna Long
Engineering Management and Systems Engineering Faculty Research & Creative Works
The project selection process is a crucial step in sustainable development. Effective sustainable development depends on the ability to select the appropriate sustainable project to implement to ensure that the desired goals are met. Some of the most common characteristics or criteria used in evaluating sustainable projects include novelty, uncertainty, skill and experience, technology information transfer, and project cost. Prioritizing these criteria based on relative importance helps project managers and decision makers identify elements that require additional attention, better allocate resources, as well as improve the selection process when evaluating different sustainable project alternatives. The aim of this research is …
Zombie Ent(R)Ailments In Risk Communication: A Rhetorical Analysis Of The Cdc’S Zombie Apocalypse Preparedness Campaign, Ryan Cheek
English and Technical Communication Faculty Research & Creative Works
Apocalypticism is a powerful brew of eschatological belief and political imagination that is extremely persuasive. This article addresses the intersections between apocalyptic rhetoric and the technical communication of risk, disease outbreak, and disaster preparedness by analyzing the Centers for Disease Control and Prevention's zombie apocalypse preparedness campaign. Specifically, I argue that the framing of the Centers for Disease Control and Prevention's campaign relies on and extends problematic iterations of apocalypticism and undermines the educational objectives of disaster preparedness and response. I conclude with suggestions for how technical communicators designing public awareness and outreach campaigns can use existential risk rhetoric for …
Review Of Multimode Space Propulsion, Joshua L. Rovey, Christopher T. Lyne, Alex J. Mundahl, Nicolas Rasmont, Matthew S. Glascock, Mitchell J. Wainwright, Steven P. Berg
Review Of Multimode Space Propulsion, Joshua L. Rovey, Christopher T. Lyne, Alex J. Mundahl, Nicolas Rasmont, Matthew S. Glascock, Mitchell J. Wainwright, Steven P. Berg
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Multimode propulsion is the integration of two or more propulsive modes with shared propellant into a single spacecraft propulsion system. Multimode propulsion is emerging as an enabling technology that promises enhanced capabilities for spacecraft and space missions and can therefore play an important role in the future of in-space propulsion. Multimode propulsion has the potential to provide unprecedented flexibility and adaptability to spacecraft as a direct result of shared propellant and can provide mass savings for certain missions. These benefits can apply regardless of spacecraft size. Additional mass savings may be realized by sharing thruster hardware between modes, especially for …
An Evaluation Of The 6tisch Distributed Resource Management Mode, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi
An Evaluation Of The 6tisch Distributed Resource Management Mode, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi
Computer Science Faculty Research & Creative Works
The IETF is currently defining the 6TiSCH architecture for the Industrial Internet of Things to ensure reliable and timely communication. 6TiSCH relies on the IEEE TSCH MAC protocol and defines different scheduling approaches for managing TSCH cells, including a distributed (neighbor-to-neighbor) scheduling scheme, where cells are allocated by nodes in a cooperative way. Each node leverages a Scheduling Function (SF) to compute the required number of cells, and the 6top (6P) protocol to negotiate them with neighbors. Currently, the Minimal Scheduling Function (MSF) is under consideration for standardization. However, multiple SFs are expected to be used in real deployments, in …
Cusz: An Efficient Gpu-Based Error-Bounded Lossy Compression Framework For Scientific Data, Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, For Full List Of Authors, See Publisher's Website.
Cusz: An Efficient Gpu-Based Error-Bounded Lossy Compression Framework For Scientific Data, Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, For Full List Of Authors, See Publisher's Website.
Computer Science Faculty Research & Creative Works
Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC applications because it not only significantly reduces storage overhead but also can retain high fidelityfor postanalysis. Because supercomputers and HPC applicationsare becoming heterogeneous using accelerator-based architectures,in particular GPUs, several development teams have recently released GPU versions of their lossy compressors. However, existingstate-of-the-art GPU-based lossy compressors suffer from eitherlow compression and decompression throughput or low compression quality. In this paper, we present an optimized GPU version,cuSZ, for one of the best error-bounded lossy compressors-SZ.To the best of our knowledge, cuSZ is the first error-boundedlossy compressor on GPUs for scientific data. …
An Explainable And Statistically Validated Ensemble Clustering Model Applied To The Identification Of Traumatic Brain Injury Subgroups, Dacosta Yeboah, Louis Steinmeister, Daniel B. Hier, Bassam Hadi, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi
An Explainable And Statistically Validated Ensemble Clustering Model Applied To The Identification Of Traumatic Brain Injury Subgroups, Dacosta Yeboah, Louis Steinmeister, Daniel B. Hier, Bassam Hadi, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi
Electrical and Computer Engineering Faculty Research & Creative Works
We present a framework for an explainable and statistically validated ensemble clustering model applied to Traumatic Brain Injury (TBI). The objective of our analysis is to identify patient injury severity subgroups and key phenotypes that delineate these subgroups using varied clinical and computed tomography data. Explainable and statistically-validated models are essential because a data-driven identification of subgroups is an inherently multidisciplinary undertaking. In our case, this procedure yielded six distinct patient subgroups with respect to mechanism of injury, severity of presentation, anatomy, psychometric, and functional outcome. This framework for ensemble cluster analysis fully integrates statistical methods at several stages of …
Uav-Enabled Measurement For Spatial Magnetic Field Of Smart Rocks In Bridge Scour Monitoring, Genda Chen
Uav-Enabled Measurement For Spatial Magnetic Field Of Smart Rocks In Bridge Scour Monitoring, Genda Chen
INSPIRE Archived Webinars
This lecture will present an overview of the research, development, validation, and implementation of 'smart' rocks as in-situ agents to assist in remote monitoring of bridge scour in real time. It will start with a brief review of fundamental concepts such as magnet, polarization, magnetic field, and field measurement principle. It will then introduce the concept of ‘smart’ rocks, demonstrate it through small-scale laboratory tests, and design and fabricate gravity-controlled ‘smart’ rocks for field implementation based on river hydrodynamics and riverbed conditions. Next, a ‘smart’ rock localization optimization algorithm will be formulated analytically and validated experimentally in open fields. It …
Heterogenous Trip Distance-Based Route Choice Behavior Analysis Using Real-World Large-Scale Taxi Trajectory Data, Yajuan Deng, Meiye Li, Qing Tang, Renjie He, Xianbiao Hu
Heterogenous Trip Distance-Based Route Choice Behavior Analysis Using Real-World Large-Scale Taxi Trajectory Data, Yajuan Deng, Meiye Li, Qing Tang, Renjie He, Xianbiao Hu
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Most early research on route choice behavior analysis relied on the data collected from the stated preference survey or through small-scale experiments. This manuscript focused on the understanding of commuters' route choice behavior based on the massive amount of trajectory data collected from occupied taxicabs. The underlying assumption was that travel behavior of occupied taxi drivers can be considered as no different than the well-experienced commuters. To this end, the DBSCAN algorithm and Akaike information criterion (AIC) were first used to classify trips into different categories based on the trip length. Next, a total of 9 explanatory variables were defined …