Transportation and Mobility Management Commons^™

Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury

Dissertations

The environmental benefits of electric vehicle (EV) adoption depend on more than replacing internal combustion engine vehicles with electric powertrains. EV adoption reshapes electricity demand, interacts with regional generation mixes, and influences travel behavior and congestion, creating a coupled transportation-energy system in which vehicle and power-plant emissions must be evaluated together. This dissertation develops machine-learning frameworks for predicting energy consumption and emissions from vehicles and power grids under rising EV adoption. The first component forecasts grid emissions from EV charging. Using simulation data from NREL's Cambium database, a Prophet-based time-series framework predicts carbon dioxide, nitrous oxide, and methane emission rates …

Meeting The Moment With Ai-Employer Informed Education, Brent Terwilliger, John Faraca

Publications

As artificial intelligence transforms aviation, aerospace, and autonomy-related sectors, higher education must adapt to meet evolving workforce demands. This session shares emerging findings from a nationwide study led by Embry-Riddle Aeronautical University, focused on employer perceptions of AI adoption, responsible use, and workforce preparedness in domains including uncrewed systems, space systems, robotics, and advanced air mobility. Based on a structured survey and follow-up interviews, the presentation explores how organizations are using AI tools, from generative platforms to enterprise systems, and defining effective and inappropriate use in operational contexts. Participants will gain insight into critical concerns (e.g., data privacy, compliance, security, …

Optimizing Port Logistics Through Generative Ai: Revolutionizing Efficiency And Resilience In The Maritime Industry, Minodora Badea, Olga Bucovetchi, Adrian V. Gheorghe, Gabriel Raicu

Engineering Management & Systems Engineering Faculty Publications

The maritime industry faces growing challenges in optimizing port logistics due to increasing trade volumes, environmental regulations, and supply chain disruptions. This comprehensive literature review examines the transformative role of artificial intelligence (AI), with particular focus on generative AI, in enhancing efficiency and resilience in port operations. Through systematic analysis of 23 peer-reviewed studies published between 2021-2025, this review synthesizes advancements in real-time data integration, machine learning, digital twins, IoT, and autonomous systems that collectively improve operational decision-making, risk management, and environmental sustainability. Key findings reveal that machine learning applications achieve 90% effectiveness ratings in operational optimization, while predictive analytics …

Cyberattacks On Port Infrastructures: A Decade Of Trends, Incidents, And Mitigation Strategies (2011-2024), Minodora Badea, Olga Bucovetchi, Adrian V. Gheorghe, Gabriel Raicu

Engineering Management & Systems Engineering Faculty Publications

Port infrastructures are critical to global trade, handling over 80% of the world's cargo by volume. However, their increasing reliance on digital technologies has exposed them to a wide range of cyber threats. This paper provides a comprehensive analysis of cyberattacks targeting port infrastructures from 2011 to the present. We examine the types of attacks, geographical distribution, notable incidents, and underlying vulnerabilities. Additionally, we discuss mitigation strategies and future directions for enhancing cybersecurity in the maritime sector. Our findings highlight the urgent need for robust regulatory frameworks, advanced technological solutions, and collaborative efforts to safeguard critical port operations.

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

A Hybrid Deep Learning Approach For Crude Oil Price Prediction, Hind Aldabagh, Xianrong Zheng, Ravi Mukkamala

Computer Science Faculty Publications

Crude oil is one of the world’s most important commodities. Its price can affect the global economy, as well as the economies of importing and exporting countries. As a result, forecasting the price of crude oil is essential for investors. However, crude oil price tends to fluctuate considerably during significant world events, such as the COVID-19 pandemic and geopolitical conflicts. In this paper, we propose a deep learning model for forecasting the crude oil price of one-step and multi-step ahead. The model extracts important features that impact crude oil prices and uses them to predict future prices. The prediction model …

Sistem Penyewaan Kereta Melalui Internet, Alexander Anita

Student Works (2000-2009)

Kini, di era teknologi maklumat, penggunaan sistem pengkomputeran semakin meluas dan menjadi satu keperluan utama kepada manusia. Begitu juga dengan sistem penyewaan kereta. Pengurusan pengangkutan adalah penting untuk memastikan pengguna dapat menjalankan aktiviti-aktiviti mereka mengikut perancangan. Sistem Penyewaan Kereta melalui Internet adalah merupakan satu sistem yang dibangunkan untuk memudahkan penyewa kereta. Secara dasarnya, sistem ini merupakan aplikasi berasaskan-web yang menyediakan lebih kemudahan dan fungsi kepada pengguna. Ia boleh dicapai oleh pengguna melalui Internet dan membenarkan pengguna membuat proses penyewaan serta tempahan. Sistem ini akan dibangunkan menggunakan Lotus Notes dan Domino RS[l], daripada Lotus Development Corporation[2]. Dengan adanya sistem senibina pangkalan …

Sistem Tempahan Tiket Bas Atas Talian Ekspresnasional.Com, Idris Elisabrina

Student Works (2000-2009)

Projek yang dijalankan adalah bertujuan untuk membangunkan satu sistem berasaskan web untuk tempahan tiket bas atas talian yang menggabungkan pelbagai syarikat bas ekspres di seluruh Malaysia. Sistem ini terbuka kepada semua individu yang menggunakan perkhidmatan bas ekspres. Sistem ini dinamakan EkspresNasional.com kerana terdapat penglibatan dari pelbagai syarikat bas ekspres di seluruh Semenanjung Malaysia. Oleh itu pengguna mempunyai banyak pilihan dari segi memilih destinasi yang hendak dituju. Pengguna boleh mencapai sistem ini pada bila-bila masa menerusi capaian internet ke laman web sistem EkspresNasional.com ini untuk membuat tempahan tiket bas atas talian. Terdapat dua modul dalam sistem yang akan dibangunkan ini iaitu …

Sistem Penyelenggaraan Kenderaan Jpphb, Ideris Ahmad Hazimin

Student Works (2000-2009)

Pembangunan sistem berasaskan web menjadi semakin penting dan mendapat perhatian Jantaran kemudahan capaian yang luas dan mudah untuk diselenggarakan. Tidak seperti sistem persekitaran pengguna tunggal yang perlu di'install' ke dalam setiap komputer pengguna, sistem berasaskan web ini boleh diakses serta dikemaskini secara terus pada bila-bila masa dan di mana-mana sahaja tempat yang mempunyai kemudahan internet. Dengan sebab itu, Sistem Penyelenggaraan Kenderaan JPPHB ini dibangunkan dalam persekitaran web bagi memudahkan pengurusan maklumat kenderaan di bawah kendalian Jabatan Pembangunan Harta Benda Universiti Malaya (JPPHB). Sistem ini diharap dapat menggantikan sistem manual yang ada dengan mengautomasikan banyak kerja yang remeh dan sekaligus meringankan …

Sistem Penjadualan Perjalanan Bas Elektronik Puduraya, Shi Leng Chong

Student Works (2000-2009)

Laporan ini membincangkan proses pembangunan suatu sistem baru yang bertajuk Sistem Penjadualan Perjalanan Bas Elektronik Puduraya (SPPBEP). Sistem baru ini diperkenalkan, direkabentuk dan dibangunkan setelab mengkaji kelemahan sistem penjadualan perjalanan bas yang sedia ada di Puduraya. Maklumat untuk membangunkan sistem ini dikumpulkan melalui temuramah dengan kakitangan syarikat bas. Maklumnat juga didapati daripada soalan soal selidik yang diberi kepada penumpang di Perhentian Bas Puduraya. Kajian bagi sistem bas syarikat bas lain juga dilakukan melalui pelayaran internet untuk mendapatkan maklumat yang berguna bagi membangunkan sistem baru ini. Sistem baru ini membolehkan penumpang mendapatkan maklumat yang perlu tanpa pergi bertauya ke semua kaunter. …