iDriving (Intelligent Driving)
Software
·
OSTI ID:1232089
iDriving identifies the driving style factors that have a major impact on fuel economy. An optimization framework is used with the aim of optimizing a driving style with respect to these driving factors. A set of polynomial metamodels is constructed to reflect the responses produced in fuel economy by changing the driving factors. The optimization framework is used to develop a real-time feedback system, including visual instructions, to enable drivers to alter their driving styles in responses to actual driving conditions to improve fuel efficiency.
- Short Name / Acronym:
- IDRIVING; 003377MLTPL00
- Version:
- 00
- Programming Language(s):
- Medium: X; OS: Any system which can run Matlab; Compatibility: Multiplatform
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1232089
- Country of Origin:
- United States
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