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Eric Horvitz Microsoft Research
CCC RISES Washington DC, Feb. 2011
Eric Horvitz Microsoft Research CCC RISES Washington DC, Feb. 2011 - - PowerPoint PPT Presentation
Eric Horvitz Microsoft Research CCC RISES Washington DC, Feb. 2011 - - PowerPoint PPT Presentation
Eric Horvitz Microsoft Research CCC RISES Washington DC, Feb. 2011 Transportation Work distribution Green computing Datacenter efficiencies Energy usage forecasting, tracking, controls Tools for others ~175,000 people ~55,000 in Puget
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~175,000 people ~55,000 in Puget Sound Region
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Copenhagen meeting Emissions abatement 450 ppm by 2030 (~2
- ).
(IEA 10/09)
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Matching algorithms: planned and instant Incentives: mechanism design for truthful reporting Collaboration & plans with related goals Preferences and comfort: social component Daily workflow: Outlook/Exchange
Coordination with King County Metro, WashDOT, MS Facilities, MS Sustainability.
More details: Collaboration and Shared Plans in the Open World: Studies of Ridesharing, IJCAI 2009.
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GPS data: AM/PM commutes to & from Microsoft
With E. Kamar
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Cost-benefit
Earlier departure Delayed arrival Increased travel Savings on effort Fuel, environment
Start time to +
- Start time
to +
- Arrive time
to +
- Arrive time
to +
- D Trip Duration
to +
- D Trip Duration
to +
- Shared & divergent preferences
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Arrive time to +
- Arrive time
to +
- Cost-benefit
Earlier departure Delayed arrival Increased travel Savings on effort Fuel, environment
Start time to +
- Start time
to +
- D Trip Duration
to +
- D Trip Duration
to +
- Shared & divergent preferences
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- Assignments based
- n observed trips.
- Cost-benefit
- Departure change
- Delayed arrival
- Increased travel
- Savings on effort,
fuel, environment
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Rideshare queued Commute request Rideshare starts Single rider starts
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Rideshare queued Commute request Rideshare starts Single rider starts
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Normal commute Computed rideshares
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10 20 30 40 50 60 108 215 430 860
System Efficiency Number of agents
Efficiency on number of commutes Efficiency on total cost
Number of participants
"What If?" Studies
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Fuel Cost
"What If?" Studies
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Best Park & Ride Locations?
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Challenge: Understanding acceptance, perceptions, social considerations
Address concerns, leverage opportunities Trusted organizations Referral, reputation
- e.g., existing online social networks (e.g., link distance bounds)
?
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Autonomous vehicles? …Yes. But…preferences, incentives, optimization!
- Direction: Public microtransit