infrastructure

This work is the first to examine households’ decision to maintain at least two plug-in electric vehicles (PEVs) in their household fleets.

This dissertation introduces a novel online prediction algorithm to forecast solar generation and EV charging power and two real-world microgrid applications equipped with solar generation and battery energy storage systems.

In this project, the researchers consider the issue of coordinating the parking decisions of a large number of long-haul trucks. More specifically, how to model the behavior of a region’s driver population and how it could be influenced.

The manufacturing of Portland cement leads to notable greenhouse gas (GHG) emissions, which has driven interest in alternative concrete mixture designs, cement production processes, and other emissions mitigation strategies. To demonstrate the efficacy of such mitigation strategies, environmental impact assessments are commonly performed. However, examination of the probability that a reduction in GHG emissions will occur given known limitations on data quality and variability in data remains poorly studied.

This study explores bicyclist behavior in San Francisco using data collected before and after major bike infrastructure investments.

This publication presents findings from a two-wave survey on the preferences of current and potential cyclists in areas where bicycling for transportation is still emerging