Transportation Commons^™

Hlcg: A Hierarchical Lane-Changing Gaming Decision Model For Heterogeneous Traffic Flow On Two-Lane Highways, Tianyi Wang, Chong He, Hao Li, Yixuan Li, Yiming Xu, Yangyang Wang, Junfeng Jiao

Research Collection College of Integrative Studies

Discretionary lane-changing behavior is one of the most common highway operations, which seriously affects traffic efficiency and safety. Nowadays, connected and automated vehicles (CAVs) are advancing rapidly, though not yet fully widespread. As a result, a mixed traffic environment with traditional human-driven vehicles (HDVs) and CAVs will persist for the foreseeable future. To achieve effective automatic lane-changing maneuvers, it’s necessary to propose a lane-changing decision model for heterogeneous traffic flow on two-lane highways. This paper firstly extends longitudinal car-following models based on the intelligent driver model and lateral lane-changing models using quintic polynomial curves to accommodate heterogeneous traffic flow, and …

Large Lithium-Ion Battery Model For Secure Shared E-Bike Battery In Smart Cities, Donghui Ding, Zhao Li, Linhao Luo, Ming Jin, Bin Zhu, Yichen Zhong, Junhao Hu, Peng Cai, Huiqi Hu

Research Collection School Of Computing and Information Systems

Electric bikes powered by lithium-ion batteries are increasingly used in smart cities to promote sustainable mobility and efficient delivery services. However, limited battery range and slow plug-in charging remain key challenges. Shared electric bike battery systems, facilitated by battery swapping stations, offer a promising solution by enabling quick and efficient battery replacements. However, their success hinges on accurate anomaly detection, battery health estimation and remain range prediction. These tasks remain challenging due to data scarcity, battery diversity and environmental variability. Here we show that a large-scale lithium-ion battery model trained on over ten million battery time series data enables robust …

Development Of An Access Charge Framework For High-Speed Rail Incorporating Rail Replacement Costs And Dynamic Train Characteristics, Nitesh Kumar Yadav

UNLV Theses, Dissertations, Professional Papers, and Capstones

This thesis develops a framework to determine track access charges for shared high-speed rail corridors, with a focus on rail replacement cost driven by train-induced loads. The method explicitly accounts for both static loads, resulting from axle weights, and dynamic loads that arise from train speed and track geometry, particularly curvature. Train characteristics such as axle load, operating speed, frequency of service, and number of wheels are integrated with track parameters, including curve radius, to calculate the total vertical load. These loads are used to estimate the cumulative tonnage threshold for rail replacement and the resulting service life of the …

Roadside Asset Extraction From Mobile Lidar Point Cloud, Yushin Ahn, Riadh Munjy, Stephen Choi

Mineta Transportation Institute

Mobile LiDAR systems are powerful tools that help us map roads and their surroundings in 3D with great speed and precision. The data provided by these systems support urban planning efforts, digital mapping, transportation infrastructure maintenance, and more. This report presents a comprehensive workflow for roadside asset extraction using Mobile Terrestrial Laser Scanning (MTLS) data, focusing on road lane detection, cross-section slope analysis, and point cloud classification. Roadside asset extraction is the identification and classification of roadside features like signs and poles. The dataset, acquired using a high-resolution mobile LiDAR system, contains over 5.7 billion points (pieces of data) across …

Evaluating Demand-Responsive Scheduling In Public Transportation Service Offerings To Retirement Communities, Steven D. Silver

Mineta Transportation Institute

This project addresses alternatives to fixed schedule local transportation service offerings to members of retirement communities. The project design measures the effects of the contrast between fixed schedule (Fixed) service and demand-responsive services (DRT) in retirement communities in Santa Clara County that are closely matched in demographic profiles and geographic location. The research team investigates the effects of scheduling alternatives in a diary format with a within-person variable of four recent trips. The measure of public transportation usage under the Fixed schedule and DRT service offerings is supplemented by a measure of subjective well-being (STS) for each trip—in other words, …

Understanding Residential Development In A High-Quality Transit Area (Hqta): An Application Of Deep Learning, Dohyung Kim

Mineta Transportation Institute

Considerable research addresses the dynamics between land use and public transportation, including the impacts of transit systems on urban development and vice versa. However, this research has underestimated the heterogeneity of contributing factors to urban developments near transit by property type: vacant lot and occupied property. That is, what drives development in vacant lots differs from what drives development in already-occupied property. A lack of comprehensive data that differentiates development records based on the type of property is one explanation for this research gap. This project fills this research gap by employing a deep learning algorithm and separately examining the …

Constructing A State: Canals And The Transformation Of The Economy, Politics, And Finance In Nineteenth-Century New York, Youwei Xing

All Dissertations

This dissertation consists of three essays in economic history, unified by a focus on one of America's earliest transportation infrastructures, the canal system, in nineteenth-century New York. Each chapter explores a different aspect of the state's transformation: its economy, politics, and finance, each of which helped construct New York as the Empire State.

The first chapter studies the economic impact of canals on economic modernization from three aspects: sectoral transition, urbanization, and banking development. Contrary to much of the modern literature finds transportation infrastructure leads to decentralization, I find the opposite-evidence of centralization. Specially: (1) canal towns experienced a transition …

Resilience Of Interdependent Transportation And Healthcare Systems: A Simulation-Driven Framework Incorporating Social Equity And Facility Optimization, S. Yasaman Ahmadi

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The overarching goal of this dissertation is to develop an integrated, simulation-driven framework to assess and enhance the resilience of interdependent transportation and healthcare systems before, during, and after natural hazards. By examining how spatial disruptions, social vulnerability, operational constraints, and infrastructure interdependencies affect access to and functionality of hospitals, this research offers a multifaceted evaluation of system performance under stress. This dissertation examines the impact of natural hazards, particularly floods, on the interdependent transportation and healthcare systems. The proposed approach combines and advances GIS-based network analysis, graph-theoretical modeling, and discrete-event simulation to evaluate system performance under different scenarios. The …

Application Of Distributed Fiber Optic Sensing (Dfos) For Monitoring Asphalt Pavement Strains Under Accelerated Loading Conditions, Sebastian Morales

Open Access Theses & Dissertations

This thesis presents a study on the application of Distributed Fiber Optic Sensing (DFOS) technology for detecting pavement's strain response with high spatial resolution. Using a Rayleigh-based optical frequency domain reflectometry (OFDR) system, DFOS sensors were calibrated and embedded in full-scale asphalt slabs subjected to accelerated loading using a Model Mobile Load Simulator 3 (MMLS3). Calibration of the DFOS sensors was conducted using a three-point bending flexural test with known load conditions and reference strain gauges to validate theoretical and numerical models. The results demonstrate DFOS's capability to detect pavement response under static and dynamic loading, as well as changes …

Exploring Commuter Cyclists' Experiences Commuting In And Around Clemson University, Trevor S. Romans

All Theses

Climate change is a global issue, and high rates of automobile usage contribute to substantial social, environmental, and economic issues. One potential partial solution is creating bicycle-friendly communities. Research suggests that bicycle use leads to benefits in physical health, environmental sustainability, economic savings, and social justice. Research supports the roles of infrastructure development, safety policies, and other transportation planning initiatives in increasing bicycling, but less research has been completed about what is needed to develop bicycle-friendly communities. While physical infrastructure affects willingness to commute by bicycle, research suggests that understanding psychological factors and other behavioral aspects is also important for …

Developing An Integrated Risk Assessment Framework To Quantify The Resilience Of Critical Railway Infrastructure: Characterization Of Risks And Hazards To The U.S. Rail Network Through Empirical Data And Past Events, Haizhong Wang, Brian M. Staes, Benyamin Ghoreishi

Mineta Transportation Institute

To improve understanding of the impact of natural hazards on the U.S. railway system, this project developed a comprehensive, geospatially precise dataset that maps historical hazard events to specific rail segments. The project provides insight into when, where, and how much damage natural hazards have inflicted on rail infrastructure across the country. While a rail-specific hazard database did not previously exist, this research combines data from the Geological Survey (USGS) Flood Events Database, Hydrologic Unit Codes (HUC), the National Centers for Environmental Information (NCEI) from the National Oceanic and Atmospheric Administration (NOAA), and the National Weather Service (NWS) forecast zones. …

An Ambient Nox Reduction Reactor System With And Without Forced Air, Hamid Rahai, Rylan Moffit, Komal Gada, Jeremy Bonifacio

Mineta Transportation Institute

Ambient nitrogen oxide (NOX) is one of the main ingredients involved in the formation of ground-level ozone (smog), which contributes to global warming and the formation of particulates in the atmosphere and causes respiratory illnesses, especially in children, older adults, and people with lung diseases. Investigations on adding titanium dioxide (TiO2) nanoparticles to the paint used on concrete surfaces such as buildings and its potential in reducing ambient NOX concentration have provided opportunities for the research and development of methods for passive control and filtration of the ambient NOX. The present research used numerical geometrical optimization to identify an optimized …

Hydrogen Fuel Cell Application For Port Drayage Truck: Integrated Transportation And Energy Modeling, Shams Tanvir, Emu Ghosh

Mineta Transportation Institute

This report investigates the viability of hydrogen Fuel Cell Electric Vehicles (FCEVs) for port drayage applications, focusing on both energy modeling and economic feasibility. Port drayage—trucking operations that move goods a short distance to and from ports—is a key part of freight logistics and the critical movement of goods in American communities. This project developed a microscopic energy consumption model using second-by-second activity data from 38 Class 8 diesel drayage trucks operating in Southern California. The model emulated FCEV operations and determined an average hydrogen fuel consumption of 0.15 kg/mile across 749 trips. This data informed a levelized cost of …

Assessing Vulnerabilities Associated With High-Risk Dams In Utah, Courtney Flint Dr., Michael Englert, Upmanu Lall Dr.

I-GUIDE Forum

Across the United States, the age of dam infrastructure presents a substantial threat. The potential for structural failure associated with these aging dams is exacerbated by increased climate uncertainty and the threat of dam overtopping due to extreme and prolonged precipitation events. These compound threats place downstream areas at pronounced risk. These downstream areas vary widely. Some are relatively free of vulnerable elements, while others have a complex mix of infrastructure, populations, and ecologically important elements. This paper highlights the risk situation associated with aging dams and hydroclimatic extremes, the methodological and geospatial challenges and opportunities associated with mapping the …

Changing Minds, Changing Modes: Optimizing Public Perception Strategies For Urban Cycling Through Behavior Change Theory, Brandon Barnhart

University Honors Theses

This thesis addresses the recent decline in bicycle mode share in cities like Portland, Oregon, despite decades of investment in cycling infrastructure. While the "build it, and they will come" approach succeeded through the early 2000s, it no longer meets targets for bicycle use or broader goals related to sustainability, congestion, health, and safety. A new approach is needed that effectively rebuilds the cultural and behavioral components of cycling. This research asks: What role can behavior change theory play in increasing the effectiveness of public perception campaigns to promote urban cycling? Using a qualitative methodology, this study draws on behavior …

Developing Indicators For Comprehensive Evaluation Of Equity In Transportation Systems, Ruqaya Emad Alfaris

Theses and Dissertations

Achieving transportation equity is essential for social inclusion, access to opportunities, and reducing disparities. However, traditional evaluation methods are often fragmented and fail to capture equity’s multidimensional nature. This dissertation develops a comprehensive framework for creating indicators to evaluate transportation equity effectively. It begins with a literature review to comprehend the theoretical background, followed by expert interviews highlight gaps in current evaluation practices. Statistical modeling and machine learning analysis was conducted to first explore indicators’ impact on transportation equity, and then investigate transportation safety disparities in underserved communities. Findings from literature review, interview with professionals, and analysis results are used …

Is Ride-Hailing A Potential Solution For Older Adults After Driving Cessation? The Role Of Objective And Perceived Accessibility, Minju Kim Song

Dissertations and Theses

Due to age-related physical and cognitive changes, older drivers have a greater risk of crashes and are restricted by age-dependent regulation. Nonetheless, many older adults in the United States maintain a car-dependent lifestyle and still prefer driving. When driving cessation or reduction becomes necessary, a primary concern is finding suitable alternative transportation modes. However, the availability of alternative transportation modes does not guarantee their actual use of these options.

As a relatively new transportation mode, ride-hailing services, such as Uber and Lyft, offer on-demand, door-to-door transportation and may be a feasible transportation solution for older adults who stop driving. While …

Strategized Reduction Of Greenhouse Gas Emissions Through Predicting And Extending The Service Life Of Concrete Pavements And Bridges, Fariborz M. Tehrani

Mineta Transportation Institute

Strong, durable concrete is key to resilient, long-lasting transportation infrastructure—especially in the face of climate change. This project explores innovative strategies for predicting and enhancing the service life of concrete in pavement and bridge systems, addressing the pressing need for sustainable transportation infrastructure. As concrete is pivotal to the durability and resilience of such structures, its environmental impact demands urgent attention. This project aims to reduce greenhouse gas emissions throughout their lifecycle by extending the service life of concrete pavements and bridge decks. A significant focus of the research is on the indications of chloride ion penetration in concrete, which …

Addressing Urban Traffic Congestion: A Deep Reinforcement Learning-Based Approach, Tairan Liu

Mineta Transportation Institute

In an innovative venture, the research team embarked on a mission to redefine urban traffic flow by introducing an automated way to manage traffic light timings. This project integrates two critical technologies, Deep Q-Networks (DQN) and Auto-encoders, into reinforcement learning, with the goal of making traffic smoother and reducing the all-too-common road congestion in simulated city environments. Deep Q-Networks (DQN) are a form of reinforcement learning algorithms that learns the best actions to take in various situations through trial and error. Auto-encoders, on the other hand, are tools that help simplify complex data, making it easier for the DQN to …

Built Environment And Public Electric Vehicle Charging: An Investigation Using Poi Data And Computer Vision, Junfeng Jiao, Seung Jun Choi

Research Collection College of Integrative Studies

Public electric vehicle charging stations (EVCSs) are vital for boosting EV adoption. This study investigates Seoul’s public EV charging patterns, taking into account the surrounding urban built environment. We collected built-environment data from land-use maps, Point of Interest (POI) data, and panorama images near public EVCS. The computer-vision technique was used to extract scene features from panorama images. We conducted a spatiotemporal analysis of public EVCS usage. The built-environment factors underwent dimensionality reduction and were assessed for outliers. Descriptive analysis revealed afternoon peak charging times and variations between chargers. Additional peaks are observed in the weekday late evening for chargers …