choices in mobility
DESCRIPTION
Choices in mobility Francisco Pereira Future Urban Mobility project Singapore-MIT Alliance for Research and Technology (SMART/FM)TRANSCRIPT
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Choices in mobility
Francisco Pereira
Future Urban Mobility projectSingapore-MIT Alliance for Research and Technology
(SMART/FM)
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From www.robertperterson.org
From www.transport.asiaone.com
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From www.greenprophet.com
From thisandthatandmoreofthesame.blogspot.com
From dailymail.co.uk
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From www.wallpaperup.com
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• Transportation is ultimately about people
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• Transportation is ultimately about people
– Where they want to be
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• Transportation is ultimately about people
– Where they want to be
– How they want to go (mode and path)
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• Transportation is ultimately about people
– Where they want to be
– How they want to go (mode and path)
– When
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Key point
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Key point
• A holistic discussion of fuel choices should involve ripple effects on/from behavior
E.g. Electric autonomous vehicles imply(?) lighter vehicles, shorter headways, safer traffic
Will there be a behavior shift? To where?
What about the impacts on the grid?
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…and there are many other changes happening
• New emergent (sharing) modes optimize capacity
• Better predictions decrease travel time
• Smoother traffic control decreases congestion
• Less human factor (adaptive CC, autonomy, coordination w/ control system) should lead to less fuel consumption...
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Research agenda in SMART/FM
Behavior
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Research agenda in SMART/FM
Behavior
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Research agenda in SMART/FM
Behavior
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Research agenda in SMART/FM
Behavior
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Research agenda in SMART/FM
Behavior
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Behavior sensing
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HITS vs FMS
• HITS captures origins, destinations, and modes
• FMS also captures routes
• In FMS, user activity pattern varies across different days
18
FMS, MON, 06-05-2013 FMS, FRI, 10-05-2013FMS, THU, 09-05-2013
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Modeling and simulation
Driverless cars
No control infrastructure
Same capacity in less space
Pervasive travel information
Different fuel choices
Fully networked vehicles
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SimMobility
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Difference in travel times?
Congestion levels?
Land use impacts?
Mode shares?
Environmental impact?
Safety impacts? Ripple effects (e.g. to power grid)?
Forecasting
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Forecasting (real time)Traffic prediction
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singapore | future urban mobility symposium | january 11-12,
2012
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singapore | future urban mobility symposium | january 11-12,
2012
Comparison of Traffic Congestion Evolution
Without DynaMIT Guidance With DynaMIT Guidance
MaximumQueue Length
Without DynaMIT 4 km
With DynaMIT 1.5 km
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Comparison of Queue Evolution
singapore | future urban mobility symposium | january 11-12,
2012
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Wrapping up
• Discussions on fuel choices need to consider behavioral response at multiple levels
• Society and environment need both appropriate fuel choices and an optimized transportation system
• Tools and research exist to help study these factors
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Francisco Pereira
Future Urban Mobility projectSingapore-MIT Alliance for Research and Technology
(SMART/FM)
Thank you!