Digital Commons Network^™

Development Of Incident Management Performance Measures Database And Supporting Training Material, Myles W. Overall, Justin Mukai, Rahul Suryakant Sakhare, Jairaj Desai, Hillary Lowther, Edward Cox, James Sturdevant, Darcy M. Bullock

JTRP Technical Reports

Secondary crashes resulting from traffic queues are a significant national safety concern. Traffic Incident Management (TIM), which involves coordinated multi-agency response to roadway incidents, is widely recognized as an effective approach to mitigating these crashes. This study aimed to develop a library of after-action case studies to support TIM training and evaluate current practices. Leveraging connected vehicle data alongside crash reports, camera footage, and dispatch audio, the research compiled 267 comprehensive after-action review reports for incidents across Indiana from June 2020 to March 2025. These reports, indexed by key attributes such as date, location, and incident type, form what is …

Resilient Modulus Improvements To Bases And Subgrades From Geosynthetic Reinforcement, Syed Faizan Husain, Issam Qamhia, Erol Tutumluer, Peter J. Becker

JTRP Technical Reports

This study investigated the benefits of geogrid stabilization in unbound aggregate base layers and developed a framework to incorporate those benefits into mechanistic–empirical (ME) pavement design. The purpose was to address limitations in current design practices that treat geosynthetic stabilized and non-stabilized bases equivalently, despite evidence of enhanced stiffness and improved stress distribution from a geogrid inclusion. Field testing was conducted along US-20 in Indiana using Automated Plate Load Testing (APLT) device during the construction of three full-scale pavement test sections: control (CS), geogrid installed at the base–subgrade interface (GG1), and geogrid installed at mid-depth (GG2). Pavement instrumentation included Bender …

Further Refinement And Integrated Platform For Indot Traffic Management And Safety Toolset, Stanley Chien, Shu Hu, Yaobin Chen, Mei Qiu, William Lorenz Reindl, Noah Meng, Liya Koshy, Sajan Kumar

JTRP Technical Reports

The SRP-4930, Further Refinement and Integrated Platform for INDOT Traffic Management and Safety Toolset, aims to further refine the previously developed Anomaly Detection and Weaving Analysis programs and create a unified, Web-based user interface for users to access TASI-developed software tools conveniently.

1. The INDOT Application Suite has been successfully developed for centralizing the digital platform developed by Purdue University’s Transportation and Autonomous Systems Institute (TASI). It offers a secure, single point of access to a range of specialized applications, consolidating multiple tools into a unified system.
2. A scalable, lane-wise highway traffic anomaly detection framework that operates exclusively on video-based data …

Worksite Speed Control System (Wscs), Jairaj Desai, Rahul Suryakant Sakhare, John Mcgregor, James Sturdevant, Darcy M. Bullock

JTRP Technical Reports

This study evaluates the effectiveness of Speed Safety Camera (SSC) deployments in reducing traffic speeds through four interstate work zones in Indiana in accordance with Indiana State Law House Enrolled Act (HEA) 1015. The initial deployment of SSC was along interstate I-70 in August 2024, with deployments on I-69, I-465, and I-65 subsequently following in 2025. To evaluate the impact of SSC deployments in Indiana, connected passenger car and connected truck data was used to quantify the change in speed characteristics before and during the SSC deployments. Approximately 100 million passenger vehicle records and 3 million commercial truck records were …

A Synthesis Study To Identify And Make Recommendations On The Appropriate Nondestructive Testing Tools For Bridge Beam Ends, Piers, And Abutments, Pan Panjehpour, Prince Baah, Sui Nawl Sang, Emmy Kliewer, Karsten Arnold

JTRP Technical Reports

The aim of this research was to identify suitable NDT methods for bridge components by evaluating their advantages, disadvantages, and limitations. The research objectives are: (1) to identify suitable NDT tools and techniques for condition evaluation of bridge beam-ends, abutments, and piers based on their advantages and disadvantages, (2) to identify gaps in NDT tools and techniques for assessing the condition of concrete bridge members (excluding decks), and (3) to recommend NDT methods for further investigation. The scope of this research was limited to reinforced and prestressed concrete bridge piers, pier caps, beam-ends, and abutments, excluding decks. Research culminated in …

Implementing An Advanced Friction Testing Program For Seamless Coverage Of Indot System, Chengcheng Tao, Yizhou Lin, Junyi Duan, Cheng Peng, Jieyi Bao, Yi Jiang, Shuo Li

JTRP Technical Reports

The interaction between tires and the road surface is crucial for maintaining vehicle stability and safety. The frictional forces at the tire-road interface, along with the coefficient of friction, affect vehicle dynamics, influencing transportation safety. Rapid advancements in transportation technology, infrastructure demands, and safety regulations pose complex transportation challenges, requiring adaptive solutions. The goal of this study is to provide actionable insights for highway agencies, offering improved friction assessment methodologies that support safer and more effective roadway maintenance and design. This study investigates and verify Locked Wheel Skid Tester (LWST) friction measurement on horizontal curves using Sideway-force Coefficient Routine Investigation …

Advancing Accelerated Bridge Construction And Fabrication In Indiana, Camila Duarte, Ashley Thrall

JTRP Technical Reports

The aim of this research was to increase the use of the accelerated bridge construction (ABC) and accelerated bridge fabrication (ABF) in Indiana. Specific research objectives included: (1) understand barriers to implementing ABC and evaluate ABF capabilities in Indiana, (2) investigate the benefits and limits of various ABC/ABF strategies specific to Indiana, and (3) develop guidelines and recommendations for implementing ABC/ABF in Indiana. The focus was on the scoping stage, with the goal of triggering which projects are candidates for ABC or ABF early in the process. Research culminated in (1) a system-level analysis tool that scores all bridges in …

A Computational Framework To Optimize Piezoelectric Power Harvesting From A Uav Wing, Hassan Koko, Gihad Ibrahim

Journal of Aviation Technology and Engineering

This paper proposes a computational framework to optimize the ambient power harvesting from an unmanned air vehicle wing by means of piezoelectricity. First, the wing shape and material are selected based on specific design factors. The wing is then subjected to a vibrational analysis in order to predict the first torsional frequency required to calculate an optimum charging speed. The harvester module is then selected so that the vibration frequency of the charging speed fails within the resonance frequency of the harvester. A finite element modeling is conducted to predict the harvester output voltage during the chagrining speed. Finally, a …

Back Matter

The Journal of Purdue Undergraduate Research

No abstract provided.

Alumni Spotlight: Alita Miller

The Journal of Purdue Undergraduate Research

Alita Miller published an article in volume 9 (2019) of the Journal of Purdue Undergraduate Research during her time spent completing her baccalaureate degree.

Alumni Spotlight: Daphne Fauber

The Journal of Purdue Undergraduate Research

Daphne Fauber published an article in volume 9 (2019) of the Journal of Purdue Undergraduate Research during her time spent completing her baccalaureate degree.

Alumni Spotlight: Ethan Edwards

The Journal of Purdue Undergraduate Research

Ethan Edwards published several articles in JPUR during his time at Purdue and as the undergraduate coordinator for JPUR, including an article in volume 9 (2019).

Origins Of Art: Demystifying The Scheuring Icon Collection, Mikayla Klemp

The Journal of Purdue Undergraduate Research

No abstract provided.

Compact Control System For Superconducting Qubits, Santiago Lopez

The Journal of Purdue Undergraduate Research

No abstract provided.

Navigating The Safety-Regulation Gap: Unraveling Systemic Challenges In Aviation Through Historical Accidents Analysis, Joshua Jackson

The Journal of Purdue Undergraduate Research

No abstract provided.

Examining Publishing Trends In Academic Libraries, Greenley Goedde

The Journal of Purdue Undergraduate Research

No abstract provided.

Profiles In Lafayette’S Underground Railroad: Martin L. Peirce, Nah'shon Zion Williams

The Journal of Purdue Undergraduate Research

No abstract provided.

Toxic Waste Dumps And Intersectionality, Kaitlyn Vasilko

The Journal of Purdue Undergraduate Research

No abstract provided.

Enhancing Bedside Nursing Care: An Artificial Neural Network Approach To Predicting Cardiac Arrest In Hospitalized Adults, Katharine Czech, Alec Pannunzio, Maddie Anderson, Numair Khan, Jacob Lacanienta, Jonghyeok Lee, Aneesh Poddutur, Emily Rastovski, Kira Voelker, Julie Wasyliw, Sei Zou

The Journal of Purdue Undergraduate Research

No abstract provided.

Change Of Carbohydrate Concentration In Reactors From Spring To Fall 2022 After Refrigeration, Amanda Ventura

The Journal of Purdue Undergraduate Research

No abstract provided.

The Impact Of Anorexia Nervosa On The Gut Microbiota, Anjali Vanamala

The Journal of Purdue Undergraduate Research

No abstract provided.

Analyzing Bacteriophage Protein Structural Motifs Utilizing A Variety Of Novel Software, Hudson Schneider, Drake Strait, Michael Perrin, Zachery Heppner, Derek Temple, Katherine Demarco

The Journal of Purdue Undergraduate Research

No abstract provided.

Multisensing Self-Powered Patch For Meltdown Prediction, Sarah Pushparaj, Sejal Rhodes, Ezekiel Ulrich

The Journal of Purdue Undergraduate Research

No abstract provided.

Development Of A Model For Fire Spread In Low-Gravity Conditions, Kathleen Martinus

The Journal of Purdue Undergraduate Research

No abstract provided.

Perceived Participant Learning Gains Attained While Participating In An Reu Program, Mridulla Ganesh

The Journal of Purdue Undergraduate Research

No abstract provided.

Engineering Faculty Perceptions Of Participating In A Sotl Professional Development Intervention, Rhea Dutta

The Journal of Purdue Undergraduate Research

No abstract provided.

Preservice Teachers’ Perceived Relevance Of Scenarios Reflecting Motivational Challenges During Field- Based Experiences, Focusing On Cost, Anshi Shastry

The Journal of Purdue Undergraduate Research

No abstract provided.

American Public Opinion And Media Representations Of The Crimean War (1853–1856), Anurag Shah

The Journal of Purdue Undergraduate Research

During the Crimean War (1853–1856), France and Britain sided with the Ottoman Empire to curb Russian expansion. Though an ocean away, the American public was not only aware of this conflict but often held strong opinions on the war and its participants. American media representations of the Crimean War are indicative of this, and a systematic examination reveals some significant trends in reporting, aligning closely to and providing nuance for larger trends in American history.

The most significant trend in newspaper reporting of the Crimean War was a North-South geographical divide. Northern states supported Britain and France throughout the conflict, …

Where To Build Food Banks: A Machine Learning Approach, Gavin Ruan

The Journal of Purdue Undergraduate Research

Over 44 million Americans currently suffer from food insecurity, of whom 13 million are children. Food insecurity has been shown to cause a wide range of both physical and developmental issues. Across the United States, thousands of food banks and pantries serve as vital sources of food and other forms of aid for food-insecure families. By optimizing food bank locations, food banks and their resources would become more accessible to families who desperately require it. The aim of this paper is to build a machine learning framework that is able to optimize food bank locations and to consider factors such …

Predictive Maintenance Analysis Of Turbofan Engine Sensor Data, Stanley A. Melkumian

The Journal of Purdue Undergraduate Research

Predictive maintenance in aviation and aerospace applications is among the most explored problems in machine learning (ML) and artificial intelligence (AI), and datasets such as NASA’s C-MAPPS turbofan engine degradation simulation data have proven invaluable, helping researchers explore numerous questions on engine performance, maintenance, and failure. The purpose of this study was to extend the current research on predicting the remaining useful life (RUL) of engines and their risk classification. Starting with simple yet under-investigated nonlinear survival and random forest models, the analysis implemented eXtreme Gradient Boosting (XGBoost) and long short-term memory (LSTM) from TensorFlow’s Keras library. For both regression …