This project examines population shifts that result from rail station construction. It addresses pre-existing concerns of new rail neighborhoods leading to gentrification.
In this research, investigators will study and develop mechanisms for offering incentives to organizations and companies to change the behavior of individual drivers in their organization.
This project’s objective was to study the truck parking problem and generate useful information and parking assist algorithms that could assist truck drivers in better planning their trips.
In this research, the researchers will develop a comprehensive framework that jointly optimizes the long-term infrastructure planning and short-term operational execution of a closed-loop EV battery supply chain network.
This project explores the probability of developing a centrally coordinated routing system for trucks. The project develops a method for estimating the utility functions of truck drivers based on their response to a centrally coordinated routing system that they are participating, and it also evaluates the impact of assumed wrong utility functions that could be viewed as non-compliance on the system optimum cost.
This project developed a set of traffic simulation models for the Los Angeles/Long Beach region that allowed the researchers to evaluate impacts on transportation system efficiency and on the environment.
This study will examine how transit system characteristics –including frequencies, routes, and travel times –are associated with ridership, with a focus on buses.
This project proposes to build an open-source software application programming interface that will produce new travel insights from cell phone GPS data.
