optimizing hybrid vehicles via route prediction
TRANSCRIPT
Optimizing Hybrid Vehicles via Route Prediction
jon froehlich & john krumm HCI Intern Talk July 26th, 2007
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U.S. Department of Energy, 2007 http://www.eia.doe.gov/emeu/international/gas1.html
u.s. gas prices
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Belgium
France
Germany
Italy
Netherlands
UK
US
global gas prices
U.S. Department of Energy, 2007 http://www.eia.doe.gov/emeu/international/gas1.html
1.60%
1.70%
2.00%
2.10%
2.90%
4.50%
4.60%
5.40%
13.70%
15.20%
21.20%
0.0% 5.0% 10.0% 15.0% 20.0% 25.0%
Italy
South Korea
United Kingdom
Canada
Germany
Japan
India
Russia
European Union
China
United States
CO2 emissions (2003)
2003 United Nations Statistics Division http://www.un.org/
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Industrial
Residential and commercial
Electric utilities
u.s. oil demand by sector
U.S. Department of Transportation, 2005 http://www.bts.gov/publications/national_transportation_statistics/html/table_04_03.html
International Energy Agency http://www.iea.org/
why
hybrids?
U.S. Department of Energy, 2001 http://www.fueleconomy.gov/feg/tech/TechSnapPrius1_5_01b.pdf
how
hybrids work
series
Combustion Engine
parallel
Combustion Engine
at low speeds
http://www.toyota.com/vehicles/2007/prius
highway cruising
http://www.toyota.com/vehicles/2007/prius
heavy acceleration
http://www.toyota.com/vehicles/2007/prius
engine idling
http://www.toyota.com/vehicles/2007/prius
regenerative braking
http://www.toyota.com/vehicles/2007/prius
what if we could
predict a driver’s
route?
road grade road curvature traffic conditions
HEV Charge/Discharge Control System Based on Navigation Information
Convergence Transportation Electronics Association 2004 Nissan Motor Company
road grade traffic conditions
Predestination: Inferring Destinations from Partial Trajectories Ubiquitous Computing 2006
John Krumm and Eric Horvitz
Trip starts, uniform destination probability
4 squares south, half of region eliminated
More squares in trip, ¾ of region eliminated
msmls dataset
As of today 251 subjects 2,131,440 data points
UbiComp 2006 189 subjects 1,351,669 points 73,903 miles 9414 trips
predestination
for routes?
gps massaging route segmentation route comparison route periodicity (recurrence) route prediction
gps massaging
Breaking the sound barrier (and all other sorts of physical feats) on the way to work
GPS can be noisy
route recurrence
And they often have a temporal pattern: 8 of the 9 trips along this route occurred between 8:00 & 9:30AM
Yes, people do drive the exact same routes over and over again
route profiles
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Elev
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n (
fee
t)
Elevation Gain
evaluation
stage 1
Mine the MSMLS dataset Check our route prediction algorithm Check our deceleration prediction algorithms
stage 2
Create (or purchase) hybrid simulator Dynamically shift power train policies Compare with baseline Evaluate based on better electrical motor utilization, state of charge, and fuel economy
contributions
Predicting speed, acceleration (and deceleration), and elevation along route
Automatic route prediction
Studying effect of route prediction and dynamic power train policies through simulation
questions?
comments?
other ideas?