pollution

This dissertation introduces new novel data-driven coordination techniques through intelligent controlled charging applied to drayage trucks operations and indirect controlled charging by proposing innovative pricing strategies for LD, MD, and HD EVs.

Data for: Recycling Diesel Soot Particles for Use as Activated Carbon in Li Ion Batteries

This is the data for the project "Advancing Active Transportation Project Evaluation". This data set contains organized data created based on data from the City of Santa Cruz, the City of Santa Barbara, and other public records.

Replication data for Utilizing Nanoscale Particulate Matter from the Combustion of Diesel Fuels as a Carbonaceous Anode Electrode for Li-ion Batteries

In this study, both stationary and comprehensive mobile monitoring platforms were developed to measure PM concentration and traffic conditions on some major highways in Southern California. The main objective is to develop a set of alternative metrics that measure particle concentrations as well as particle size.

This work proposes a strategic receptor placement method, called dynamic-receptor-grid model (DGRM), that identifies the optimal receptor positions across a region, while preserving the high-resolution pollutant concentration profiles predicted by dense receptor placement.

In this report, researchers measured how effectively soundwalls and vegetation barriers mitigated air pollution near freeways.

Exposure to traffic-related air pollution is rarely considered in the process of bike infrastructure planning. This oversight can have negative impacts on bicyclists given they are directly exposed to vehicular exhaust and experience an increased breathing rate during biking.

The main goal of this dissertation was to explore ways to change and improve efforts by local jurisdictions to mitigate climate change.