AUTOMATED DRIVING LAB | CENTER FOR AUTOMOTIVE RESEARCH | COLLEGE OF ENGINEERING
Smart Shuttle
A Scalable and Replicable Architecture for Low Speed Automated Shuttles in Smart Cities
Prof.Dr. Levent Guvenc, Prof.Dr. Bilin Aksun Guvenc (The Ohio State University)
Randall Bowman (City of Columbus)
SHORT DESCRIPTION
The City of Columbus was recently named as one of the
seven finalists in the US Department of Transportation
Smart City Challenge.
Our GCTC 2016 project, therefore, concentrates on a
scalable and replicable low speed automated shuttle
solution for use in a Smart City.
This automated shuttle solution will use a small (twoseater) electric driverless vehicle with a scalable and
replicable software, hardware control and decision
making architecture.
The eventual aim of the project is pilot deployment in an
urban driving environment with low speed vehicles and
intersections at/near the outdoor shopping area of the
Easton Town Center in Columbus.
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The scalable and replicable approach will enable the easy
adaptation of the same system to other parts of the City
of Columbus and to other similar pilot deployment sites
in other cities in the US.
Ford Fusion Hybrid Autonomous Vehicle
Power Distribution,
MABx and GPS
Dash EV autonomous vehicle
GOALS
In addition to Columbus, Ohio, five cities have already
joined the Smart Shuttle cluster and are candidates for
the replication of the architecture that will be
developed. Two of these cities are USDOT Smart City
Challenge finalists. More cities are expected to join.
The development of a unified software, hardware,
control and decision making architecture that uses a
model based design approach consisting of generic
interfaces for typical sensors like GPS, camera, lidar, radar
and V2V modem, generic steering, throttle and brake
actuators, all within a generic multi-agent automated
driving architecture connected by generic and scalable
control and decision making blocks.
Two vehicles will be used for demonstrating scalability
and replicability of the proposed architecture.
The 2015 Ford Fusion Hybrid is fully automated.
The development of a scalable and replicable method of
designing longitudinal and lateral vehicle dynamics
controllers using a parametric approach.
The Dash EV by Innova UEV is being automated as the
main deployment vehicle.
An evaluation and rating system to evaluate different
automated driving control systems utilizing the unified
and scalable architecture that will be developed.
The results will be demonstrated using proof-of-concept
demo deployments in the Easton Town Center outdoor
shopping area to solve first-mile and last-mile problems.
Scalability and replicability of the proposed architecture
will be demonstrated by application to a small two seater
electric vehicle and a mid-sized hybrid electric sedan.
LIDAR
Hardware architecture
IMPACT/BENEFITS TO THE RESIDENTS
AND CITIES
The scalable and replicable nature of the Smart Shuttle
approach will allow it to be easily transferred and adapted
to other deployment sites and different cities.
We will be providing a full mobility solution to people
who could not easily commute to work due to the firstmile, last-mile problem increasing their chances of getting
a job.
Mobileye Camera
There will be a reduction in traffic jams which will
increase the quality of life of those people who are
affected by it.
There will be an improvement in air quality and heavily
populated area due to the use of electric vehicles.
RADAR
CURRENT STATUS
The cities taking part in Smart Shuttle will experience
economic growth due to the new jobs created by the
automated shuttle industry including development,
operation and maintenance.
FUTURE PLANS AND NEXT STEPS
Work on finding funding for the Smart Shuttle concept
is in progress.
Two vehicles representing a small neighborhood
electric vehicle and a passenger car are being
automated using the same architecture.
Model based design is being used. The Smart Shuttle
concept will be developed and tested in a simulation
environment first, followed by testing in a parking lot
and a proving ground.
Proof-of-concept deployment will take place in the
Easton Town Center outdoor shopping area in
Columbus, Ohio.
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