Data-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets.
Afiya AymanMichael WilburAmutheezan SivagnanamPhilip PuglieseAbhishek DubeyAron LaszkaPublished in: SMARTCOMP (2020)
Keyphrases
- data driven
- prediction accuracy
- higher level
- levels of abstraction
- pedestrian detection
- energy minimization
- pick up and delivery
- traffic information
- prediction algorithm
- prediction error
- prediction model
- data sets
- road network
- united states
- travel time
- energy consumption
- shortest path
- route planning
- traffic congestion
- motion estimation
- neural network