Vision

Transportation systems in megacities in the United States occupy a unique position from which to showcase for the world what a safe, sustainable, and environmentally sound integrated multimodal 21st-century urban transportation system looks like. To make this showcase a reality, i²dEAS Lab's vision would be to create, test, and validate state-of-the-art methods and analytical tools to optimize the efficiency of the U.S. transportation system through research and synergetic collaboration with transportation providers, communities, and researchers in other disciplines. 

The i²dEAS Lab collaboratively works to pursue this vision of developing innovative and generalizable theories and computational algorithms through big sensory data analytics, simulations, and artificial intelligence. We target major federally funded centers to advance this vision further, facilitate effective technology transfer, develop transformative toolsets, and create new interdisciplinary project-based training and mentoring programs for students. 

The i²dEAS Lab's goal is the pursuit of excellence in transportation research by developing a cutting-edge interdisciplinary research program and by fostering collaboration in a vibrant network among academia, government, and industry. The lab’s efforts to pursue these goals would address the nation’s specific transportation challenges while also deepening the knowledge base for transportation theorists and practitioners.

"Most basic methods and tools for transportation planning and management have been around for centuries. Therefore, dramatic progress may be possible by developing groundbreaking decision-support tools or smart systems. For example, the adaptive power of Artificial Intelligence that makes increased automation possible can result in significant savings of millions of taxpayers' dollars and in implementing automated models and tools that would be much smarter and greener than any in existence today." 
-Dr. KC Choi-

Four Core Pillars

i²dEAS Lab has achieved this vision by supporting the four (4) core pillars of the lab’s strategic research.

Pillar 1: Artificial Intelligence Digital Twinning (AID) 
mixed mobility digital twins; roadway management; predictive intelligence for extreme events

Pillar 2: Alternative Contracting Methods (ACM)
cost-schedule-change-risk-productivity tradeoff analysis of what-if construction scenarios

Pillar 3: Transportation Infrastructure Sustainability (TIS)
life-cycle assessment; life-cycle cost analysis; renewable energy modeling

Pillar 4: Transportation Construction Management (TCM)
schedule-cost-traffic integrated analysis; contingency; phasing; construction work zones