Applications of Knowledge Discovery in Massive Transportation Data: The Development of a Transportation Research Informatics Platform (TRIP)

Investigators: Panagiotis Ch. AnastasopoulosAdel Sadek

Funding Source: Federal Highway Administration

Abstract: This project adapts methodologies to handle, process, and analyze massive safety-related data. These methods and tools are directed at the existing transportation research community’s data resources, including the Second Strategic Highway Research Program (SHRP 2) Naturalistic Driving Study (NDS) data. The goals of the project include a two-phase effort. The first phase has two primary steps: 1) the development of a Transportation Research Informatics Platform (TRIP) capable of integrating large data sets and supporting analyst requirements; and 2) demonstration of TRIP using the Highway Safety Information System (HSIS), Clarus/Meteorological Assimilation Data Ingest System (MADIS) Weather Data, and the SHRP 2 Roadway Information Database (RID).  The second phase of the effort demonstrates the ability of TRIP to operate on a broader set of transportation safety data resources, including the SHRP 2 NDS data. A system oriented view is undertaken, which envisions this project as part of broader informatics driven approach to provide safety analysts with tools to study the SHRP 2 NDS and other data.