The Intelligent Transportations Systems Joint Program Office (ITS JPO)
Accelerate the use of ITS to transform the way society moves.
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 Officeís 2020-2025 ITS Strategic Plan
About ITS JPO
The U.S. Department of Transportationís 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 Programís strategic goals, these research areas, and four technology transfer programs.
Learn more in the 2020-2025 ITS Strategic Plan.
Intelligent Transportation Systems Deployment
|Connected Vehicle Pilots|
View NYCDOT pilot
View THEA pilot
View WYDOT pilot
- 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
- 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)
- Road Weather
- Connected Vehicle Technology
- CV Pilots Deployment Project
- Automated Vehicle
- ITS Cross-Cutting Support
- Success Stories
- 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
Applications for the Environment: Real-Time
Synthesis (AERIS) Program
Track 2 – Identify Candidate Strategies and Applications
This phase will identify a number of strategies to improve environmental decisions by public agencies and consumers or to improve environmental outcomes through ITS strategies. A key component of this step is to undertake initial benefit/cost analyses and modeling for the purpose of identifying a preliminary set of candidate applications/strategies.
The approach may include:
- Screening and characterization of applications/strategies - Candidate applications/strategies identified and a knowledge base will be developed and characterized sufficiently to enable initial evaluation. This will include the definition of preliminary data requirements.
- Assessing technology needs – Some of the applications/strategies are likely to need technologies beyond data to enable them, and these technologies must be assessed. In some cases, experimental prototypes or models will be developed or other testing conducted in order to fully understand the technologies needed to achieve an environmental improvement strategy and to assess their potential.
- Review and down-select – The candidate applications/strategies will be reviewed with various stakeholder communities and the most promising initial applications/strategies will be selected for further analyses. Criteria will include stakeholders’ acceptance of the strategies with respect to state of the research, research investments already made or anticipated, size and significance of the environmental improvements expected, and potential for deployment. This down-select of applications/strategies will necessarily depend upon others’ research and other available information, which must be validated in subsequent research by this project.
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