01
Vendor-neutral deployment
Connect multiple sensor and controller vendors through standardized interfaces and a common edge environment.
Discuss integration ↗Edge intelligence for modern traffic operations
Make every intersection more responsive.
A vendor-neutral edge computing platform that connects advanced sensors to existing traffic signal infrastructure, enabling real-time optimization without replacing the systems agencies already trust.
01Vendor
neutral
neutral
02Safety
preserving
preserving
03Human
centered
centered
Live intersection model
Sensor fusionPerformance feedbackExtension-based control
Built for the infrastructure agencies have today and the transportation systems they need tomorrow.
Designed for
State DOTsMunicipalitiesResearch partnersSystems integrators
The deployment gap
Research moves fast.
Infrastructure cannot.
Thousands of advanced traffic management methods have been proposed, but few make it into the field. Edge Traffic Lab provides the practical, standards-aware environment needed to move innovation from simulation to operation.
01 / Observe
Any sensor
RADARLiDARVideoV2X
Normalize high-resolution data from diverse vendors and sensing technologies.
02 / Understand
EdgeTraffic platform
- Sensor fusion
- Performance analytics
- Real-time applications
- Open, extensible APIs
03 / Improve
Existing controller
Use standards-compliant, extension-based actions while keeping core safety logic intact.
✓
Modernization without disruption. The controller retains responsibility for safety-critical operations. Edge intelligence works alongside it, not around it.
Three core capabilities
A practical foundation for smarter operations.
One integrated hardware-software platform connects sensing, performance analysis, and real-time action.
02
Feedback-based control
Continuously evaluate operational performance and gradually tune timing parameters as conditions change.
Explore operations ↗03
Sensor-integrated strategies
Use trajectories, speeds, and queues to improve dilemma zone protection, phase termination, and progression.
Explore applications ↗Operational value
More capability.
Less operational burden.
EdgeTraffic helps agencies improve system performance while protecting the investments, practices, and engineering oversight already in place.
Workforce efficiency
Continuously monitor performance, surface issues, and support timing optimization with less manual intervention.
Low-risk modernization
Add advanced capabilities without wholesale controller replacement or disruption to established operations.
Human-centered control
Keep traffic engineers informed and in the decision loop with detailed performance measures and oversight.
Future-ready foundation
Create a pathway to connected vehicles, digital twins, AI applications, and cybersecurity monitoring.
Development roadmap
From feasibility to field-proven platform.
Our phased development path validates the architecture end to end, then expands and evaluates it in real operating environments.
I
Phase I / Feasibility
Prove the deployment framework
Build an initial edge device, ingest high-resolution sensor data, execute trajectory-aware applications, and communicate with existing controllers through standards-compliant interfaces.
- Initial edge hardware
- End-to-end integration
- Feedback control prototype
II
Phase II / Validation
Develop and validate in the field
Advance the three core platform components and establish their effectiveness through field deployment and operational evaluation.
- Multi-vendor integration
- Real-time optimization
- Field performance evidence
∞
Long term / Scale
Enable an open innovation ecosystem
Provide a common, extensible foundation for agencies, researchers, and technology partners to deploy the next generation of intelligent transportation systems.
- Well-defined APIs
- Custom applications
- Nationwide scalability
Our long-term vision
The operating layer for intelligent transportation.
We envision a foundational middleware platform that standardizes how sensors, controllers, analytics tools, and intelligent transportation applications work together.
With default implementations at every layer and well-defined APIs for customization, agencies and innovators can build, test, and deploy new capabilities without sacrificing interoperability, reliability, or maintainability.
Built for the whole ecosystem
One platform. Many paths to impact.
Transportation agencies
State DOTs, counties, cities, and metropolitan organizations modernizing signal operations.
Research organizations
Universities, UTCs, laboratories, and institutes moving innovations into the field.
Industry partners
Controller manufacturers, software providers, integrators, and ITS deployment teams.
Our team
The people building Edge Traffic Lab.
A focused team combining expertise in transportation engineering, edge computing, and intelligent transportation systems.
Andalib Shams
Founder
Leading the vision to bring vendor-neutral edge computing infrastructure to modern traffic signal operations.
Shoaib Mahmud
Co-Founder
Driving the technical architecture and development of the Edge Traffic Lab platform.
Advisors
—
Advisor seats are open. Reach out to connect.
Partners
Building the future together.
We partner with transportation agencies, research institutions, and technology providers who share our commitment to safer, smarter intersections.
Partner opportunities are open across technology integration, field deployments, and research collaborations.
Become a partnerLet's build the next intersection
Bring advanced traffic technology into the real world.
We are building partnerships with transportation agencies, researchers, and technology providers.