The Connected Traveler framework seeks to boost the energy efficiency of personal travel and the overall transportation system by maximizing the accuracy of predicted traveler behavior in response to real-time feedback and incentives. It is anticipated that this approach will establish a feedback loop that 'learns' traveler preferences and customizes incentives to meet or exceed energy efficiency targets by empowering individual travelers with information needed to make energy-efficient choices and reducing the complexity required to validate transportation system energy savings. This handout provides an overview of NREL's Connected Traveler project, including graphics, milestones, and contact information.
- Publication Date:
- OSTI Identifier:
- Report Number(s):
- DOE Contract Number:
- Research Org:
- NREL (National Renewable Energy Laboratory (NREL), Golden, CO (United States))
- Sponsoring Org:
- USDOE Advanced Research Projects Agency-Energy (ARPA-E)
- Country of Publication:
- United States
- 33 ADVANCED PROPULSION SYSTEMS transportation; vehicle; THSC; connect; automate; automation; integrate; traveler; urban planning; built environment; mobility; route selection
Enter terms in the toolbar above to search the full text of this document for pages containing specific keywords.