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Automated Intersection Control: Performance of a Future Innovation Versus Current Traffic Signal Control.
David
Fajardo, Tsz-Chiu Au, Travis Waller,
Peter Stone, and David Yang.
Transportation
Research Record (TRR), 2259:223–32, 2012.
Congestion is one of the biggest challenges faced by the transportation community, accounting for an estimated 87.2 billion dollars in losses in 2007 alone. As such, transportation professionals need to go beyond capacity expansion projects and explore novel strategies to mitigate traffic congestion. One such novel strategy, automated intersection management, has been identified with the potential to greatly reduce intersection delay and improve safety. While the implementation of such a system is contingent on the development of automated vehicles, competitions such as DARPA's Grand and Urban Challenges have shown that this technology is feasible and will be available in the future. As such, it becomes critical to develop the infrastructure and associated control methods required to fully exploit the benefits of such technology at the system level. This research explores one such innovative strategy, an Automated Intersection Control protocol based on a First Come First Serve (FCFS) reservation system. In particular, it's shown that the FCFS reservation system can significantly reduce intersection delay by exploiting the features of autonomous vehicles. We present microscopic simulation experimental results and show that the FCFS reservation system significantly outperforms a traditional traffic signal in reducing delay.
@article(trr11,
author="David Fajardo and Tsz-Chiu Au and Travis Waller and Peter Stone and David Yang",
title="Automated Intersection Control: Performance of a Future Innovation Versus Current Traffic Signal Control",
journal="Transportation Research Record (TRR)",
year="2012",
volume="2259",
pages="223--32",
abstract="
Congestion is one of the biggest challenges faced by
the transportation community, accounting for an
estimated 87.2 billion dollars in losses in 2007
alone. As such, transportation professionals need to
go beyond capacity expansion projects and explore
novel strategies to mitigate traffic congestion. One
such novel strategy, automated intersection
management, has been identified with the potential
to greatly reduce intersection delay and improve
safety. While the implementation of such a system is
contingent on the development of automated vehicles,
competitions such as DARPA's Grand and Urban
Challenges have shown that this technology is
feasible and will be available in the future. As
such, it becomes critical to develop the
infrastructure and associated control methods
required to fully exploit the benefits of such
technology at the system level. This research
explores one such innovative strategy, an Automated
Intersection Control protocol based on a First Come
First Serve (FCFS) reservation system. In
particular, it's shown that the FCFS reservation
system can significantly reduce intersection delay
by exploiting the features of autonomous
vehicles. We present microscopic simulation
experimental results and show that the FCFS
reservation system significantly outperforms a
traditional traffic signal in reducing delay.",
)
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