Abstract
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.
| Original language | American English |
|---|---|
| Number of pages | 2 |
| State | Published - 2016 |
NREL Publication Number
- NREL/FS-5400-65714
Keywords
- automate
- automation
- built environment
- connect
- integrate
- mobility
- route selection
- THSC
- transportation
- traveler
- urban planning
- vehicle
