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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