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CONNECTED VEHICLES APPLICATION
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Edge AI Video Analytics for Intersection Monitoring & Safety Intervention

USDOT FY22 SBIR Phase II; City of Bellevue, WA; City of Tucson, AZ

Process video streams from city’s existing intersection cameras at the edge, detect, classify, and track various road users, identify safety-critical events in real time, and communicate low-latency interventions to the TMC and traffic signal controllers 

Dynamic dilemma zone protection using upstream detection to adjust signal timing

Trajectory conflict-informed adaptive signal control, such as:

o    Dynamic left-turn phasing operations.
o    Dynamic "No Turn on Red" sign activation.
o    Passive pedestrian detection for automatic walk time extension.
o    Dynamic extension of pedestrian clearance intervals.

RURAL ROAD SAFETY

Rural Traffic Safety Data Collection & Traveler Information System, Toppenish, Yakama Nation

Safety data collection (traffic, roadway surface conditions, visibility, environmental conditions, etc.)

Real-time warning of dangerous events (speeding, collision/near-miss, stopped vehicle, snow and icy road surface, low visibility/heavy fog, etc.)

TRAFFIC & ROADWAY CONDITIONS MONITORING

Norwegian Public Road Administration, Norway

Traffic monitoring, travel time estimation, & roadway conditions monitoring on E8 Corridor, Norway 

Travel time estimation based on MAC address detection and image data processing.

Roadway surface conditions (dry, wet, icy and snowy) detection based on image data processing and environmental sensing.

Artificial Intelligence for Transportation Planning and Design (TPD)

AI-Powered Data Generation and Analysis for Safe and Efficient Transportation Planning

TPD Copilot

Scalable AI/CV Data Generation: Automate extraction and fusion of TPD data, covering infrastructure, traffic and safety, and contextual information, from diverse multimodal sources (e.g., satellite imagery, street-level imagery, traffic camera feeds, and IoT sensors) and convert them into standardized, GIS-compatible datasets.

Transportation-Standards-Informed LLMs, VLMs, and AI Agents: that can respond to practitioner prompts, generate contextualized scenario insights, and recommend data-driven infrastructure improvements.

SMART PARKING & CURB MANAGEMENT

New York City Department of Transportation, NY; Bellevue, WA

Curb space parking events monitoring

Events (i.e., Event Type, Vehicle Type, Location, Duration, Ingress/Egress Time);

Parking Availability & Occupancy

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Applications

AIWAYSION INC.

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