About
The Intelligent Transportations Systems Joint Program Office (ITS JPO)
OUR VISION:
Accelerate the use of ITS to transform the way society moves.
OUR MISSION:
Lead collaborative and innovative research, development, and implementation of ITS to improve the safety and mobility of people and goods.
Planning for the Future of ITS
The ITS Joint Program Office’s 2020-2025 ITS Strategic Plan
About ITS JPO
Current Research
The U.S. Department of Transportation’s ITS research focuses on several high-priority areas including Emerging and Enabling Technologies, Data Access and Exchanges, ITS Cybersecurity Research, Automation, ITS4US, and Accelerating ITS Deployment. The ITS Strategic Plan includes in-depth discussion of the ITS Program’s strategic goals, these research areas, and four technology transfer programs.
Learn more in the 2020-2025 ITS Strategic Plan.
Research Areas
Intelligent Transportation Systems Deployment
Connected Vehicle Pilots | ||
View NYCDOT pilot |
View THEA pilot |
View WYDOT pilot |
ITS Deployment
- ITS4US
- Vehicle-to-Infrastructure Resources
- Connected Vehicle Pilots
- Connected Vehicle News and Events
- Connected Vehicle Deployer Resources
- Connected Vehicle Deployment Assistance
- Connected Vehicle Applications
- Sample Deployment Concepts
- Connected Vehicle Publications
- National ITS Architecture
- Smart City Challenge
Technology Transfer
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Technology Transfer
Contact Us
Social Media
Research Archive
- Safety
- Vehicle-to-Vehicle (V2V) Communications for Safety
- Truck V2V Research
- Transit V2V Research
- Connected Vehicle Safety Pilot
- Vehicle-to-Infrastructure (V2I) Communications for Safety
- Truck V2I Research/Smart Roadside
- Transit V2I Research
- Connected Vehicle Safety for Rail
- Vehicle-to-Pedestrian (V2P) Communications for Safety
- Ann Arbor Connected Vehicle Test Environment (AACVTE)
- Mobility
- Environment
- Road Weather
- Policy
- Connected Vehicle Technology
- CV Pilots Deployment Project
- Automated Vehicle
- Intermodal
- Exploratory
- ITS Cross-Cutting Support
- Success Stories
- Clarus
- Commercial Vehicle Information Systems and Networks (CVISN) Core and Expanded Deployment Program
- Congestion Initiative
- Cooperative Intersection Collision Avoidance Systems (CICAS)
- Electronic Freight Management
- Emergency Transportation Operations (ETO)
- Integrated Vehicle-Based Safety Systems (IVBSS)
- Intelligent and Efficient Border Crossings
- Mobility Services for All Americans (MSAA)
- Next-Generation 9-1-1
- Rural Safety Initiative
- Vehicle Infrastructure Integration
Vehicle-to-Infrastructure (V2I) Communications
for Safety
V2I Communications for Safety is the wireless exchange of critical safety and operational data between vehicles and highway infrastructure, intended primarily to avoid motor vehicle crashes and enable a wide range of other safety, mobility, and environmental benefits. Preliminary studies show that an additional 12 percent of potential crash scenarios could be addressed by V2I safety applications. The vision for the V2I research is to enable safety applications that are designed to avoid or mitigate vehicle crashes (inclusive of automobiles, trucks, motor coaches, and transit vehicles), particularly for those crash scenarios not addressed by V2V research.
Resources
- Connected Vehicle Impacts on Transportation Planning - Technical Memorandum #2: Connected Vehicle Planning Processes and Products and Stakeholder Roles and Responsibilities
- Connected Vehicle Impacts on Transportation Planning - Technical Memorandum #3: Analysis of the Need for New and Enhanced Analysis Tools, Techniques, and Data
- Connected Vehicle Impacts on Transportation Planning - Technical Memorandum #6: Skills and Expertise Required to Incorporate Connected Vehicles into Transportation Planning
- Connected Vehicle Impacts on Transportation Planning - Analysis of the Need for New and Enhanced Analysis Tools, Techniques, and Data-Highway Capacity Manual Briefing
- Connected Vehicle Impacts on Transportation Planning - Analysis of the Need for New and Enhanced Analysis Tools, Techniques, and Data-Briefing for Traffic Simulation Models
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