The researchers created a model to understand the traffic and environmental impacts of truck-only lanes, using a proposed highway project in Georgia as a case study.
This research primarily aims to evaluate the effects of two newly-constructed Express Toll Lanes, with particular emphasis on economic, energy and environmental impacts.
In this white paper, the researcher examines travel and environmental effects of automated vehicles (AV), focusing on how AVs may change travel demand.
In this research project, the research team developed an environmentally-friendly driving feedback system for heavy-duty trucks, which was adapted from a similar system previously developed for light-duty cars.
This research establishes a framework for traffic-related air pollution evaluation using sparse mobile data and traffic volume data from California Performance Measurement System.
The researchers used mobile crowd-sourced data to create an effective tool that evaluates the environmental impact of traffic congestion in an accurate, timely and economic way.
This project focuses on safety, mobility, and environmental sustainability Measures of Effectiveness (MOEs) of Connected and Automated Vehicle (CAV) applications.
This project focuses on Connected and/or Automated Vehicle (CAV) applications. The researchers studied different types of CAV applications in terms of measures of effectiveness.