The purpose of this project is to develop technology that finds regional patterns, trends, etc. And distills meaning from massive, diverse data sets. There is a need to make sense of the plethora of…

Cambridge Systematics, Inc., a transportation consulting firm based in Medford, Massachusetts, received a delivery order contract valued at $164,325.71 from the Federal Highway Administration (FHWA) with an ultimate completion date of December 31, 2018. Awarded on August 2, 2015, this firm fixed-price contract supports the development of analytical methods and technologies designed to identify regional patterns, trends, and meaningful insights from large, diverse datasets. The specific objective is to create methods and analytics for summarizing and analyzing data to support transportation operations and decision-making, addressing the government's need to process, integrate, and extract actionable intelligence from massive volumes of heterogeneous data sources. No set-aside designation was applied to this award, indicating open competition.

The contract represents a continuation of Cambridge Systematics' extensive work with federal transportation agencies. The firm, which operates under UEI FNXDK49XHH74, maintains multiple significant indefinite delivery vehicles with the FHWA and Federal Transit Administration totaling over $138 million in combined capacity. Cambridge Systematics' portfolio with federal transportation agencies demonstrates expertise across transportation planning, policy analysis, safety initiatives, and advanced analytics. The firm regularly collaborates with subcontractors including ICF Incorporated, Leidos, Inc., and academic institutions, and has established partnerships with the National Academy of Sciences on transportation research initiatives, positioning the company as a key technical resource for federal transportation infrastructure and operational strategy development.

The purpose of this project is to develop technology that finds regional patterns, trends, etc. And distills meaning from massive, diverse data sets. There is a need to make sense of the plethora of new data - develop technology that finds regional patterns, profiles, trends, etc. And extracts meaning from these massive, diverse data sets (i.e., processing, summarizing, analyzing and integrating this data for the appropriate applications).