Developing a standardized system architecture for deploying Connected & Automated Vehicle applications across all Caltrans districts. This roadmap ensures uniform, safe, and scalable V2I equipment and CAV application deployment statewide.
Caltrans is actively piloting V2I equipment including Road-Side Units (RSUs) and Roadside Processors (RSPs) across State Highway Systems. However, all existing deployments use non-standard or proprietary system architectures, creating long-term design and deployment challenges across districts.
This research delivers a comprehensive Caltrans CAV Application Deployment Roadmap consisting of a common nomenclature, a designer toolkit with technical specifications, and internal webpages for searching and managing CAV applications, their architectures, and deployment status.
Selected in collaboration with Caltrans for statewide deployment, each with detailed technical specifications and deployment guidelines.
Alerts drivers of downstream traffic queues to prevent rear-end collisions
Warns drivers when approaching curves at unsafe speeds
Collision avoidance at intersections through V2X communication
Protects pedestrians and cyclists through connected alerts
Dynamically adjusts speed limits to smooth traffic flow
Optimizes speed at signalized intersections to reduce emissions
Gives priority signal timing to transit and freight vehicles
Clears signal phases for approaching emergency vehicles
Detects and warns wrong-way drivers on highways and ramps
Manages traffic safety and flow through active work zones
Production-ready applications and tools built to support the CAV deployment roadmap.
A comprehensive Next.js web portal cataloging 56 CAV applications with advanced filtering, search, and detailed metadata for each application including architecture diagrams and deployment maturity levels.
An Electron desktop application (Caltrans Recorder) for recording traffic camera streams with weather-triggered automation, multi-camera selection, and loop recording capabilities. Packaged as a macOS installer.
A YOLOv11 + ByteTrack vehicle detection and tracking system with fine-tuning capabilities, multi-format export (CSV, JSON, JSONL), and annotated video generation for traffic analysis.
A Python utility for standardized CCTV video file organization with metadata extraction, intelligent filename parsing, and hierarchical reorganization by resolution, weather, district, and camera ID.
Facilitating communication with Caltrans through quarterly reports, meetings, and advisory panel coordination.
Comprehensive review of CAV applications from ARC-IT 9.3, CVRIA, and NOCoE. Each application assigned a unique Caltrans Use Case Name, ID, and Deployment Maturity Level.
Specifications for 10 essential CAV applications covering benefits, impacts, hardware/software requirements, communications, and block diagrams for each use case.
Searchable web portal for CAV applications with architecture views, filtering by deployment status, hardware needs, and application type.
Comprehensive documentation of all findings and a knowledge-transfer workshop for Caltrans staff on using the roadmap and web tools.
The roadmap guarantees all districts meet federal safety and mobility standards while reducing duplication and cost across the state.
Uniform deployment across all Caltrans districts with a pre-defined system architecture
Eliminates training on different technologies for the same CAV use case statewide
Ensures all deployments meet federal safety and mobility standards