Associated Publication

This study explores the impacts of latent attitudes, socio-demographic characteristics, and neighborhood effects on consumers’ current vehicle fuel type choice and their interest in purchasing or leasing an alternative fuel vehicles in the future.

Researchers critically review the methods used by the Environmental Protection Agency to project near- and long-term compliance costs under the Renewable Fuel Standard (RFS), and draw lessons from the RFS experience to date that would improve the program’s efficiency.

In this paper, researchers propose a generic framework of online energy management system for plug-in hybrid electric vehicles that is based on an evolutionary algorithm.

This paper describes the development and deployment of a monitoring network of accurate ozone sensor nodes to provide parallel monitoring in an air monitoring site relocation study.

This study used 79,328 receptor-link pairs randomly selected from the Atlanta Metropolitan area to train and test a machine learning random forest classification algorithm.

This paper presents a distributed framework for AVs to share inertial navigation system information and studies this framework by varying both the number of collaborating AVs and the probability of communication failure.

In this study, the researchers examine the rate of bike-share adoption by individuals from different socio-demographic groups and living in different bicycling contexts.

Researchers tested whether placing affordable housing close to rail or in jobs-rich communities increases development costs on a per-unit basis.

Investigators tested the influence of an array of explanatory factors on driver’s license possession, using a binomial logistic model, and on license timing, using multilevel survival analysis and censored regression models.

This publication reviews some of the papers researchers have written developing and estimating dynamic structural econometric models of dynamic games in the ethanol industry