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
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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
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Research Archive
Active Transportation and Demand Management (ATDM)
Active Transportation and Demand Management (ATDM) is the dynamic management, control, and influence of travel demand, traffic demand, and traffic flow of transportation facilities. Through the use of available tools and assets, traffic flow is managed and traveler behavior is influenced in real time to achieve operational objectives, such as preventing or delaying breakdown conditions, improving safety, promoting sustainable travel modes, reducing omissions, and maximizing system efficiency. Under an ATDM approach the transportation system is continuously monitored. Using archived data and/or predictive methods, actions are performed in real-time to achieve or maintain system performance.
ATDM implementation strategies fall under three major categories:
- Active Traffic Management (ATM): The ability to dynamically manage recurrent and non-recurrent congestion based on prevailing and predicted traffic conditions. Examples include: adaptive ramp metering; adaptive traffic signal control; dynamic junction control; dynamic lane reversal or contraflow lane reversal; dynamic lane use control; dynamic merge control; dynamic shoulder lanes; dynamic speed limits; queue warning; and transit signal priority. For more information on ATM go to: http://ops.fhwa.dot.gov/atdm/approaches/atm.htm
- Active Demand Management (ADM): Using information and technology to dynamically manage demand, which could include redistributing travel to less congested times of day or routes, or reducing vehicle trips by influencing mode choice. Examples include: dynamic fair reduction; dynamic high-occupancy vehicle (HOV)/managed lanes; dynamic pricing; dynamic ridesharing; dynamic routing; dynamic transit capacity assignment; on-demand transit; predictive traveler information; and transfer connection protection. For more information on ADM go to: http://ops.fhwa.dot.gov/atdm/approaches/adm.htm
- Active Parking Management (APM): The dynamic management of parking facilities in a region to optimize performance and utilization of those facilities while influencing travel behavior at various stages along the trip making process. Examples include: dynamic overflow transit parking; dynamic parking reservation; dynamic wayfinding; and dynamic priced parking. http://ops.fhwa.dot.gov/atdm/approaches/apm.htm
Jim Hunt