IDOT-ICT Research Showcase brings together industry, academia

Illinois Center for Transportation researchers shared their Illinois Department of Transportation-sponsored research at the IDOT-ICT Research Showcase on Wednesday, October 9.

The event allowed IDOT staff members to learn about research collaboration with the Bureau of Research and ICT.

Showcased IDOT-ICT projects included designing smart work zone systems, analyzing transit ridership, developing guidelines for dynamic message signs, advancing Illinois’ air mobility, predicting bridge deterioration, improving pavement design, and more.

IDOT and ICT bring together industry members, academic professionals and government agencies to improve the transportation system in Illinois and beyond. Altogether, they’ve completed over 320 joint projects, with over 40 scheduled to be in progress by this fall.

Their goal is to steer the development and implementation of cost-effective technologies that enhance safety, reduce congestion and minimize environmental impacts.

Examples of implementation include developing software, creating decision-making tools, training IDOT staff and contractors, developing steering committees, and updating IDOT’s policies, procedures and specifications.

Below is a full list of IDOT-ICT projects featured at the Research Showcase:

• R27-213: Reducing Concrete Cure Times Based on a Quantitative Assessment of Resistivity and Porosity
• R27-214: 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2
• R27-216: Optimizing the Use of Local Aggregates in Stone-Matrix Asphalt
• R27-227: Moisture Content and In-Place Density of Cold Recycle Treatments
• R27-230: Performance and Design of Continuously Reinforced Concrete Pavements
• R27-233: Mechanistic-Empirical Design Procedures for Flexible Pavements
• R27-238: Developing Deterioration Curves for Bridge Elements
• R27-241: Advancing Air Mobility in Illinois
• R27-245-HS: Quantification of the Effectiveness and External Noise of Rumble Strip Designs
• R27-246: Development of Design Guidance for Smart Work Zone Systems
• R27-247: Automated and Contactless Identification of Asphalt Pavement Surface Friction Based on Computer Vision Image-based 3D Reconstruction and Machine Learning Techniques
• R27-252: Impact of Commercial Electric Vehicles on Flexible Pavement Performance
• R27-SP53: Statistical Analysis of COVID-19’s Impact on Transit Ridership for CTA Rail, CTA Bus, PACE and METRA (Pilot Study)
• R27-SP55: Development of Guidelines for Messages in Dynamic Messaging Signs to Improve Safety, Compliance, and Avoid Distraction
• R27-SP59: Field Performance of Unacceptable Hot Mix Asphalt Test Parameters