This project aims to know how the Intelligent Vehicle Technologies (IVT) can improve Vulnerable Road Users’ (VRU) safety in different environments and conditions (e.g., sight distance and traffic flow) at signalized intersections.
This dissertation focuses on observed behavior of current PEV users. Three studies are presented that seek to improve our understanding of PEV driving and charging typified by two levels of disaggregation- vehicle level and household level.
This presentation will describe results from a two-year research project for Caltrans on local policymaking in California for transit oriented development (TOD), transit, and active transport.
These data stem from a project that developed a powerful and user-friendly web-based version of the Integrated Transport and Health Impact Model tool for the Sacramento Area Council of Governments (SACOG) six county region
This data repository provides the data used in the following research project supported by an NCST (UTC) grant: Evaluating the Sustainability Impacts of Intelligent Carpooling Systems for SOV Commuters in the Atlanta Region.
These datasets contain the raw data collected from the two separate but related surveys to explore the potential of automated parcel lockers as an alternative for residence deliveries.
Research performed in this supplemental NCST study improved model algorithms to increase analytical efficiency and to integrate ridership demographics, so that energy use impacts could be assessed across demographic groups for use in social sustainability analysis.
