Data Integration to Support Digital Infrastructure and Efficient Mobility Insights
Data is at the core of understanding mobility trends, modeling and optimizing transportation systems and informing policy and decision-making. Understanding data is also key to advancing digital infrastructure for transportation, providing technological systems and frameworks to complement physical infrastructure. This project aims to support two other initiatives (the CEM Innovation Accelerator and the Advanced Transportation Optimization and Modeling project) by serving as the “data engine” to support both modeling as well as potential innovation projects. However, this project also stands alone as a data integration effort that will support the expansion and improvement of the previously-developed CEM Data Hub and serve to provide mobility data insights and digital infrastructure frameworks geared towards understanding transportation system efficiency. This project will develop a robust data integration framework, collect, assemble, and harmonize diverse transportation datasets to support the development of actionable mobility insights. By integrating data from traffic sensors, transit systems, GPS traces, and mobile applications, the project will create a comprehensive data ecosystem that reflects real-world travel behavior, congestion patterns, and modal interactions. This foundation will enable the development of analytical tools and decision-support systems that help agencies and planners optimize transportation networks for efficiency. The integrated data platform will support advanced analytics, visualization tools, and decision-support systems that can be used by planners, engineers, and policymakers to evaluate mobility strategies. Key components of the project include: Data Ecosystem Development – Establishing a scalable and secure data architecture that supports integration of diverse transportation datasets Collaboration – Engaging with ongoing projects across the CEM consortium to ensure collaborative use of available data Analytical Tools and Insights – Developing dashboards, predictive models, and scenario planning tools to support efficient and healthy mobility decisions. Ultimately, this effort will position data as a central asset in advancing efficient mobility across urban and rural contexts.
Language
- English
Project
- Status: Proposed
- Funding: $80,000.00
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Contract Numbers:
69A3552348329
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
1111 Rellis Parkway
Bryan, Texas United States 77807 -
Project Managers:
Ocon, Monica
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Performing Organizations:
Texas A&M Transportation Institute
Texas A&M University System
3135 TAMU
College Station, TX United States 77843-3135 -
Principal Investigators:
Souza, Rodolfo
- Start Date: 20260301
- Expected Completion Date: 20261231
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
- Source Data: 03-03-TTI
Subject/Index Terms
- TRT Terms: Congestion management systems; Data fusion; Decision support systems; Digital infrastructure; Mobility; Travel behavior
- Subject Areas: Data and Information Technology; Transportation (General);
Filing Info
- Accession Number: 01979449
- Record Type: Research project
- Source Agency: Center for Advancing Research in Transportation Emissions, Energy, and Health (CARTEEH)
- Contract Numbers: 69A3552348329
- Files: UTC, RIP
- Created Date: Feb 12 2026 3:35PM