In the fields of vehicle telematics and navigation, there are algorithms for recommending potential travel routes from a given origin to a desired destination. Such potential routes may be presented as candidate routes from which a vehicle user may choose to travel. Further, in the field of vehicle energy use prediction, there are techniques for estimating vehicle energy consumption as a function of the vehicle’s driving cycle/speed profile. To predict vehicle energy consumption over a specified route that has not yet been driven, a driving cycle/speed profile associated with that route is needed. Using such profile, the energy that the vehicle would expend by traveling from the origin to destination via the specified route can be predicted.
Engineers at the National Renewable Energy Laboratory (NREL) have developed a system to predict the energy a vehicle would expend while traversing a route or a segment of the route, wherein the route has not yet been travelled by the vehicle or generally, where there is no drive cycle data associated with the vehicle for the route. After establishing one or more potential driving routes to travel between a given origin and destination this invention draws on information such as road segment type, traffic data, driver aggression, intersection and traffic sign/signal location in order to predict representative cycle metrics over each segment of the driving route.
For more information, contact Eric Payne at Eric.Payne@nrel.gov
Applications and Industries
- Intelligent Transportation Systems
- Green routing
- Vehicle energy use prediction
- Reduction in fuel consumption
- Monetary savings
- Increased compliance with environmental standards