After a successful 2024, Miovision kicked off the new year by participating in the 104th Transportation Research Board (TRB) Annual Meeting. We had the privilege of connecting with industry leaders, peers, and customers, all sharing a common goal: revolutionizing transportation safety and efficiency.
Representing our team at one of the most prestigious conferences in the industry, we showcased our commitment to innovation and collaboration to address some of the most pressing challenges in traffic safety. From presenting groundbreaking research to earning recognition for our cutting-edge intersection safety system, Miovision’s contributions at TRB underscore our dedication to driving transformative change in transportation. In this post, we’ll review the events and accolades that took place at the TRB annual meeting between January 6 and 9, 2025 in Washington, DC.
Engaging with the Transportation Community
The TRB Annual Meeting brings together over 10,000 transportation professionals, including engineers, planners, policymakers, and researchers, to exchange ideas, explore new technologies, and collaborate on solutions to transportation challenges. For Miovision, this event was an invaluable opportunity to share our insights and learn from the wealth of expertise within the community!
Conferences like TRB serve as a hub for innovation and progress, where the brightest minds in the industry discuss how to improve transportation systems worldwide. Miovision’s presence at TRB reflects our role as a leader in this space—from bringing advancements in traffic detection to deploying EVP technology (and many more mobility solutions)—we’re committed to shaping the future of mobility and roadway safety.
A Spotlight on Miovision’s Presentation
Miovision was honored to present at Poster Session 2239, where we shared our research: A High-Low Fidelity Dual Traffic Modeling Approach to Support Traffic-Aware Powertrain Automation Application Development. This project, conducted in collaboration with Toyota Engineering North America and sponsored by the U.S. Department of Energy, focused on traffic modelling techniques designed to enhance connected powertrain automation systems. By using a dual modelling approach—combining high-fidelity and low-fidelity simulations—we offered insights into how automation technologies can adapt to real-world traffic scenarios.
The presentation resonated with attendees, sparking meaningful discussions about how traffic simulation can play a needed role in developing connected and automated vehicles. As transportation technologies evolve, research like this serves as a foundation for creating safer, smarter, and more efficient roadways.
Advancing Intersection Safety: Miovision’s Award-Winning System
One of the standout moments for Miovision at TRB was being recognized for our work in intersection safety. We were proud to win Stage 1B of the U.S. Department of Transportation (DOT) Intersection Safety Challenge, a competition dedicated to improving intersection safety through innovative technologies!
The $166,666 prize will enable us to continue refining and scaling our technology, bringing us closer to widespread deployment. But beyond the monetary reward, this recognition highlights the importance of innovation and collaboration in addressing critical transportation challenges.
Why the Intersection Safety Challenge Matters
This challenge aims to tackle dangerous intersections by encouraging the development of Intersection Safety Systems (ISS) that leverage technologies like AI and machine learning to reduce risks.
The challenge aligns with the National Roadway Safety Strategy (NRSS) and supports its ultimate goal: zero fatalities and serious injuries. Intersection monitoring and safety systems are crucial. By focusing on scalable solutions, intersections can be safer for everyone, particularly vulnerable road users, such as pedestrians and cyclists.
The Technology Behind Miovision’s Solution
Miovision’s award-winning intersection safety system results from collaboration with industry leaders like Carnegie Mellon University, Amazon Web Services, and Telus. The system leverages advanced technologies to predict and prevent collisions at intersections. Here’s how it works:
- Data collection and integration: Cameras and LiDAR sensors are strategically placed at intersections to gather real-time data. This combination ensures precise traffic detection and tracking of road users, including cars, cyclists, and pedestrians.
- Advanced perception technology: Our system uses a specialized YOLO model for 2D object detection, along with multi-camera tracking and 3D localization. This comprehensive approach allows the system to understand and predict the movements of all road users.
- Movement prediction models: By analyzing historical and real-time data, our system predicts the future movements of vehicles and pedestrians, enabling proactive measures to prevent potential conflicts.
- Conflict prediction framework: Using sophisticated algorithms, the system identifies risky situations, reduces false alarms, and ensures accurate collision predictions. This framework is key to improving the safety and efficiency of intersections.
By combining these elements, Miovision’s solution provides actionable insights that help reduce risks and enhance safety at intersections, contributing to the broader vision of Vision Zero—a future with no roadway deaths.
Reflections on TRB 2025
TRB 2025 was more than a conference—it was an opportunity to engage with a global community of transportation professionals who share our passion for safety and SaaS traffic solutions and innovations. From our poster presentation to networking with industry leaders, the event was filled with inspiring moments that reinforced the importance of collaboration.
The TRB Annual Meeting reminds us of the collective effort required to tackle transportation challenges. Each session, conversation, and presentation contributes to the broader goal of improving mobility and safety for all. Miovision is proud to be part of this effort, bringing our expertise and innovations to the table.
Looking Ahead to TRB 2026
As we look to the future, Miovision is excited to continue building on the momentum from TRB 2025. We look forward to reconnecting with the TRB community in 2026 at booth #821, where we’ll share new insights, advancements, and success stories.
In the meantime, we remain dedicated to developing scalable solutions that improve roadway safety and efficiency. Through partnerships, research, and cutting-edge technology, Miovision is driving change that will benefit communities around the world.
Summary of our TRB 2025 experience
Conference Highlights: Miovision presented at the TRB 104th Annual Meeting during Poster Session 2239, sharing research on traffic modelling approaches to support connected powertrain automation.
Award Recognition: Miovision won Stage 1B of the U.S. DOT Intersection Safety Challenge, earning a $166,666 prize for its innovative AI-powered intersection safety system.
Cutting-Edge Technology: The safety system uses cameras, LiDAR, AI, and machine learning to predict and prevent collisions at intersections, improving safety for pedestrians, cyclists, and drivers.
Partnerships: Collaboration with Carnegie Mellon University, Amazon Web Services, Telus, and others played a vital role in advancing these technologies.
Looking Ahead: Miovision will continue to refine its safety solutions and looks forward to engaging with the TRB community again in 2026 at booth #821!