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Approximately Orchestrated Routing and Transportation Analyzer: Large-scale Traffic Simulation for Autonomous Vehicles.
Dustin Carlino, Mike
Depinet, Piyush Khandelwal, and Peter
Stone.
In Proceedings of the 15th IEEE Intelligent Transportation Systems Conference (ITSC), September 2012.
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Autonomous vehicles have seen great advancements in recent years, and suchvehicles are now closer than ever to being commercially available. The advent ofdriverless cars provides opportunities for optimizing traffic in ways notpossible before. This paper introduces an open source multiagent microscopictraffic simulator called AORTA, which stands for ApproximatelyOrchestrated Routing and Transportation Analyzer, designed for optimizingautonomous traffic at a city-wide scale. AORTA creates scale simulations of thereal world by generating maps using publicly available road data fromOpenStreetMap (OSM). This allows simulations to be set up throughAORTA for a desired region anywhere in the world in a matter of minutes. AORTAallows for traffic optimization by creating intelligent behaviors forindividual driver agents and intersection policies to be followed by theseagents. These behaviors and policies define how agents interact with oneanother, control when they cross intersections, and route agents to theirdestination. This paper demonstrates a simple application using AORTA throughan experiment testing intersection policies at a city-wide scale.
@InProceedings{ITSC2012-dcarlino,
author = {Dustin Carlino and Mike Depinet and Piyush Khandelwal and Peter Stone},
title = {Approximately Orchestrated Routing and Transportation Analyzer: Large-scale Traffic Simulation for Autonomous Vehicles},
booktitle = {Proceedings of the 15th IEEE Intelligent Transportation Systems Conference (ITSC)},
location = {Anchorage, Alaska, USA},
month = {September},
year = {2012},
abstract = {Autonomous vehicles have seen great advancements in recent years, and such
vehicles are now closer than ever to being commercially available. The advent of
driverless cars provides opportunities for optimizing traffic in ways not
possible before. This paper introduces an open source multiagent microscopic
traffic simulator called AORTA, which stands for Approximately
Orchestrated Routing and Transportation Analyzer, designed for optimizing
autonomous traffic at a city-wide scale. AORTA creates scale simulations of the
real world by generating maps using publicly available road data from
OpenStreetMap (OSM). This allows simulations to be set up through
AORTA for a desired region anywhere in the world in a matter of minutes. AORTA
allows for traffic optimization by creating intelligent behaviors for
individual driver agents and intersection policies to be followed by these
agents. These behaviors and policies define how agents interact with one
another, control when they cross intersections, and route agents to their
destination. This paper demonstrates a simple application using AORTA through
an experiment testing intersection policies at a city-wide scale.},
}
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