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,...
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...
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...
Automobile transportation is among the leading sources of greenhouse gas emissions in the United States, and reducing vehicle miles traveled must be part of our climate change mitigation efforts. One recent trend that, if accelerated, could aid in this effort is the increase in bicycling for transportation in large US...
The term Connected Vehicle (CV) is broadly used to identify any ‘smart vehicle’ with wireless connectivity to the roadside infrastructure and other vehicles. CVs with automation capabilities are called connected automated vehicles (CAVs). With real-time communication and data transmission capability, CAVs have the potential to improve the transportation system’s traffic...
Two recent developments in the transportation industry – shared-use mobility services and fully-autonomous vehicles (AVs) – have the potential to fundamentally transform urban mobility. Shared-use mobility services (e.g. Uber, Lyft, Via, Chariot, ZipCar, and Car2go) are already beginning to bridge the gap between personal vehicles and fixed-route transit service in...
Connected and automated vehicle (CAV) technology is a disruptive transportation development with potentially transformative impacts on society and the economy. CAV systems promise to significantly reduce human-caused road crashes, improve traffic flow performance, and lower pollutant emissions. However, realizing those benefits requires strategic planning for the deployment of CAV systems...
Context: Crowd logistics is a novel shipping concept where delivery operations are carried out by employing existing vehicle capacity and drivers from the crowd, relying on their planned tours, thereby offering potential for economic, social, and environmental benefits. Despite the promise of this new logistics model, little is known about...