ADBTF14_F Autonomous Vehicles for Mobility on Demand
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Transcript of ADBTF14_F Autonomous Vehicles for Mobility on Demand
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James Fu
Project Lead
Autonomous Vehicles
Future Urban Mobility (FM-IRG)
Singapore-MIT Alliance for Research and Technology (SMART)
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Marcelo H.AngJr.
David Hsu
Liu Wei
Shen Xiaotong
Scott Pendleton
Chen Min
Hans Andersen
Feng Mengdan
James Fu Guo Ming
Chong Zhuang Jie
Baoxing Qin
Tawit Uthaicharoenpong
Cody Kamin
Weng Zhiyong
Daniel Morton
Diluka Moratuwage
EmilioFrazzoli
DanielaRus
Sertac Karaman
Autonomous Vehicles Group
Visiting PhD Students
UROP, FYP Students
Interns
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CREATE Centre (Singapore)
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The future within reach
Credit: Minority Report (2002)
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Self-driving cars no longer
science fiction...
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and one needs not be a $300B giant to make one
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The Ultimate Transport System
Source: URA Website
Jurong Lake District
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The Ultimate Transport System
Source: URA Website
Jurong Lake District
MRT
Bus Stop
Demand
More Bus Routes!
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The Ultimate Transport System
Source: URA Website
Jurong Lake District
MRT
Bus Stop
Demand
Make them walk!
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The Ultimate Transport System
Source: URA Website
Jurong Lake District
MRT
Bus Stop
Demand
Dynamic Route
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Demand Supply
Predictive
Real-time
Autonomous Vehicles
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Why Automated Vehicles?
Safety Accessibility
Productivity
EfficiencyEnvironment
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Safety:
Cost of a statistical life: $9.1M
2011 AAA report (2009 data):
The societal cost of traffic accidents is about
$300B/year.
Cost of congestion:
Texas Transportation Institute, 2012: approx.
$100B/year
Health costs of congestion:
Harvard School of Public Health, 2010:
approx. $50B/year
Increased productivity/leisure:
Estimate $1.2T/year
Car sharing:
Assuming a sharing factor of 4, estimate
$1.8T/year of benefits to individuals.
Other studies [Burns et al., 13, Fagnant,
Kockelman 14] suggest higher sharing
factors, up to ~10.
A financial perspective (US Market)
Safety Congestion
Health
ProductivitySharing
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Reinventing the Automobile
Active Safety
Availability
Accessibility
Native integrationHigh utilization
Efficient design
Affordability
Autonomy Car Sharing
Electric Vehicles
Disruptive technology:
Automation can enable new
ways of thinking aboutautomobiles and
transportation systems in
general. In particular, it can
provide affordable,
convenient, on-demand
mobility.
Does not require infrastructure
Complements and encourages publictransport
Higher throughput
Fewer vehicles
Less congestion
Decreased travel times
Better accessibility
Increased productivity
Increased safety
Lower environmental impact
Reclaim parking and excess roads Complement mass transit
Higher travel flexibility
Lower cost
...
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Our work insummary
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Our work in summary More videos are available at youtube:
search FMAutonomy channel
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If only autonomous vehicles
In 2011, Singapore had:
Total population: 5,184,000
Total vehicles: 956,704
How many autonomous vehiclesfor Mobility-on-Demand would
be required?
Approximately 300,000 shared cars
(vs. ~800,000 passenger vehicles) couldsatisfy the mobility needs of the entire
population, with waiting times within 15-20
minutes at peak hours.
K. Spieser, K. Treleaven, R. Zhang, E. Frazzoli, D. Morton, and M. Pavone. Toward a systematic approach to the design and
evaluation of automated mobility-on-demand systems: a case study in Singapore. In S. Beiker, editor, Road Vehicle Automation,Lecture Notes in Mobility. Springer, 2014. To appear.
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The Next Step
Sept - Nov 2014
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