The COVID-19 pandemic disrupted the status quo of the telemobility landscape in the United States, forcing millions of Americans into lock down, significantly changing the way we work, travel, and spend our time and money for an extended period of time. After several months of adaptation, adoption, learning, and unlearning,...
Machine learning-based techniques have shown great promises in perception, prediction, planning, and general decision-making for improving task performance of autonomous driving. Connectivity technology has also presented great potentials in improving the safety and efficiency of transportation systems by providing information beyond the perception and prediction capabilities of individual vehicles. However,...
This dissertation models and simulates optimization problems to find the optimal set of strategies to allocate network space (lanes or zones) to autonomous vehicles (AVs) in partially automated dynamic networks. This dissertation aims to develop a set of methods to determine the appropriate AV managed space strategies. Managed space strategies...
With the potential to bypass congested urban road networks and take advantage of the openness of the sky, advanced air mobility (AAM) promises to provide a faster alternative mode for people and goods. However, AAM will also require a new paradigm for the movement of aircraft around an airspace network...
Urban Air Taxi (UAT) is the use case of passenger-carrying Urban Air Mobility (UAM) at its mature state, and it offers a ubiquitous on-demand (or nearly on-demand) per-seat service that moves passengers in urban or suburban areas using groundbreaking aircraft. However, the absence of a dominant electric vertical take-off and...
This dissertation is a culmination of work spanning several modes of travel, multiple datasets, and different contexts. Because the proliferation of new mobility services disrupted the transportation ecosystem, I aim to understand travel behavior and investigate how new and traditional modes intermingle. I focus my attention on Mobility-on-Demand which encompasses...
In the past decade, the e-hail service provided by transportation network companies (TNCs) gained popularity in major cities around the world. By allowing passengers to virtually “hail” vehicles on mobile phones, e-hail has revolutionized the matching process in ride-hail, drastically reducing the existing search friction. However, previous studies found the...
Travel time is a key aspect of capturing and evaluating the operational performance and service quality of transportation systems, and travel time improvement is a common objective for travelers, service providers, transportation practitioners and agencies. However, the reliability of travel times, including the probability of unexpected delays, is an important...
This dissertation present a Compound Poisson Mixture Regression model of the distribution of transaction frequency and monetary value, and apply it to study donations at a private university in the Midwestern United States. The model captures the joint effect of covariates, recognizing that both response variables emanate from one statistical...
This dissertation is motivated by the decision process of the supply chain team of a major furniture retailer that delivers its products at the customer's home. In retail supply chains for companies offering home delivery services, demand surges are observed at the store level, which translate to a high volume...
