Peter Stone's Selected Publications

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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. Automated Intersection Control: Performance of a Future Innovation Versus Current Traffic Signal Control. Transportation Research Record (TRR), 2259:223–32, 2012.

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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.

BibTeX Entry

@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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