CTERH
Live Demos

Connected Transportation Ecosystem

One road,
fully connected.

Perception, edge, vehicle, and cloud — one research program threading California's corridors.

Watch the live demoExplore Research Topics
Drag to orbit · scroll to zoom
Live V2X network
Connected vehicles
Regular vehicles
Roadside units (RSU)
On-board units (OBU)
PerceptionTrackingClassificationAI Video AnalyticsDigital InfrastructureDigital TwinEdgeCloudConnected VehicleElectric VehicleVRUFreightDirect CommunicationsNetwork CommunicationsV2XRSUOBUAimsun MicrosimI-210 CorridorSPaTMAPTIMRSMCAV ApplicationCCTVHOV/HOT ManagementIntegrated Corridor ManagementIncident ManagementTraffic EvacuationPerceptionTrackingClassificationAI Video AnalyticsDigital InfrastructureDigital TwinEdgeCloudConnected VehicleElectric VehicleVRUFreightDirect CommunicationsNetwork CommunicationsV2XRSUOBUAimsun MicrosimI-210 CorridorSPaTMAPTIMRSMCAV ApplicationCCTVHOV/HOT ManagementIntegrated Corridor ManagementIncident ManagementTraffic Evacuation
The portfolio

One ecosystem supporting research, deployment, and training

Drag, or use the arrows — each connects to the same live data path.

Completed · PATH Task 4081

V2X Microsimulation

A completed Aimsun microsimulation platform (UC Berkeley PATH) evaluating five connected-vehicle applications on the I-210 corridor — per ARC-IT 9.3 — to guide where roadside units should be deployed.

Aimsun5 CV appsRSU placement
View findings
Perception · live demo

Ground Truth Generator

A native YOLOv8 + ByteTrack desktop tool that turns Caltrans CCTV into validated ground-truth datasets — with a live, in-browser detection demo.

YOLOv8 + ByteTrack9 export formatslive demo
Run the demo
Deployment · local port

CAV Application Deployment

A standardized architecture and shared nomenclature for 56+ Connected & Automated Vehicle applications across Caltrans districts, with full technical specs for ten priority use cases.

Next.js portal56+ apps10 priority specs
Open the hub
Safety data

VRU Data Generation

A distributed pipeline that mines CCTV archives for Vulnerable Road User clips — pedestrians and cyclists — with Postgres-coordinated workers and a YOLO + ByteTrack pipeline built to scale past 500k videos.

YOLO + ByteTrackPostgres workers500k+ videos
Explore CCTV & AI
Real-time perception

WATCH THE MODEL THINK

The Ground Truth Generator replays real YOLOv8 + ByteTrack output over Caltrans footage. Scrub the timeline, raise the confidence threshold, and watch the unique-vehicle tally build live.

Open the live demo
884
vehicles · one clip
Completed research · PATH Task 4081

PROVEN BEFORE DEPLOYED

Five CV applications — Curve Speed Warning, Queue Warning, Speed Harmonization, Intersection Safety Warning and Collision Avoidance (Red-Light Violation and Pedestrian-in-Crosswalk Warning), and Eco-Approach and Departure — all modeled in Aimsun on the I-210 corridor to find where connected infrastructure actually pays off.

See the findings
5
CV apps simulated
Deployment roadmap

RESEARCH TO ROLLOUT

A searchable portal of 56+ CAV applications with shared nomenclature, architecture diagrams, and full technical specs for ten priority use cases — the blueprint Caltrans districts build from.

Browse the catalog
56+
applications cataloged
1stFirst Integrated V2X Microsimulation Platform
#1Largest Microsimulation Network in the U.S.
0+
CAV applications
0
CV apps simulated
0
Ground-truth workspaces
0+
CCTV cameras
0+ TB
Video footage analyzed

Step into the connected corridor

Start with the live perception demo, then trace the data all the way to a deployment decision.

Ground Truth demo Browse the topics