Dissertation / Thesis | National Center for Sustainable Transportation

Bias Estimation of Spatiotemporal Traffic Sensor Data with Physics-informed Deep Learning Techniques

Research Product Type

Dissertation / Thesis

Efficient operations of intelligent transportation systems rely on high-quality traffic data.

Biological Conversion of Alamo Switchgrass Carbohydrates Following Co-Solvent Pretreatment

Research Product Type

Dissertation / Thesis

In this thesis, the reasons behind increased digestibility of Alamo switchgrass after CELF were investigated in comparison to research benchmark dilute sulfuric acid (DSA) pretreatment.

Bridging the Gap Between Emission Simulators and Near-Road PM2.5 Measurements

Research Product Type

Dissertation / Thesis

Vehicle emissions are a major source of particulate matter (PM2.5) in urban areas with emissions from on-road vehicles significantly impacting human health and the environment.

Conservation Strategies That Address Habitat Loss and Fragmentation: Implications for Forest Cover Change and Wildlife Behavior

Research Product Type

Dissertation / Thesis

Habitat loss and fragmentation is currently the primary driver of biodiversity decline. Community forest management and wildlife crossing structures are two common conservation strategies applied to mitigate habitat loss and fragmentation.

Conversion of Poplar Carbohydrates and Lignin into Fuel Ethanol and Polyurethane Following Co-Solvent Pretreatment

Research Product Type

Dissertation / Thesis

In this thesis, Co-Solvent Enhanced Lignocellulosic Fractionation (CELF) pretreatment conditions were defined to maximize sugar yields and lignin recovery from hardwood poplar for the combined operations of CELF pretreatment and subsequent fungal enzyme hydrolysis.

Critical Infrastructure Systems: Distributed Decision Processes over Network and Uncertainties

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Dissertation / Thesis

This dissertation focuses primarily on the system analysis of critical infrastructure systems (CIS), with a particular interest to address the modeling and computational challenges brought by uncertainties, interdependencies and distributed decision making of various components and stakeholders involved in CIS.

Data-Driven Behavior Analysis and Implications in Plug-in Electric Vehicle Policy Studies

Research Product Type

Dissertation / Thesis

The adoption of plug-in electric vehicles (PEVs) is considered to be a potential solution to reduce transportation-related emissions. People’s vehicle choice and driving behavior will have important implications for the realized emissions reductions from PEVs. Therefore, PEV-related policy studies require good understanding of human behavior. This dissertation proposes data-driven approaches to simulate behavior and provides a discussion of the implications for three PEV-related topics.

Data-Driven Intelligent Charging Models and Innovative Pricing Strategies for Managing Electric Vehicles

Research Product Type

Dissertation / Thesis

This dissertation introduces new novel data-driven coordination techniques through intelligent controlled charging applied to drayage trucks operations and indirect controlled charging by proposing innovative pricing strategies for LD, MD, and HD EVs.

Developing Agent-Based Distributed Cooperative Vehicle-Infrastructure Systems in the Connected and Automated Vehicle Environment

Research Product Type

Dissertation / Thesis

The rapid development of our transportation systems has brought much convenience to our daily lives, while also introducing various issues related to safety, mobility, and environmental sustainabil

Development of a real-time connected corridor data-driven digital twin and data imputation methods

Research Product Type

Dissertation / Thesis

Smart cities -- equipped with connected infrastructure -- receive significant real-time traffic data.