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Autonomous Intersection Management for Semi-Autonomous Vehicles.
Tsz-Chiu
Au, Shun Zhang, and Peter
Stone.
In Dusan Teodorovi'c, editors, Handbook of Transportation, pp. 88–104, Routledge, 2016.
Recent advances in autonomous vehicle technology will open the door to highlyefficient transportation systems in the future, as demonstrated by Autonomous Intersection Management, an intersection control protocol designed for fully autonomous vehicles. We, however, anticipate there will be a long transition period during which most vehicles have some but not all capabilities of fully autonomous vehicles. This paper introduces a new protocol called Semi-Autonomous Intersection Management, which allows vehicles with partially-autonomous features such as adaptive cruise control to enter an intersection from different directions simultaneously. Our experiments show that this protocol can greatly decrease traffic delay when most vehicles are semi-autonomous. Our incremental deployment study reveals that traffic delay keeps decreasing as more and more vehicles employ features of autonomy.
@InCollection{Routledge15-Au,
author = {Tsz-Chiu Au and Shun Zhang and Peter Stone},
title = {Autonomous Intersection Management for Semi-Autonomous Vehicles},
booktitle = {Handbook of Transportation},
publisher={Routledge},
editor="Dusan Teodorovi'c",
year = {2016},
pages = {88--104},
abstract = {Recent advances in autonomous vehicle technology will open the door to highly
efficient transportation systems in the future, as demonstrated by Autonomous Intersection
Management, an intersection control protocol designed for fully autonomous vehicles. We,
however, anticipate there will be a long transition period during which most vehicles have some
but not all capabilities of fully autonomous vehicles. This paper introduces a new protocol called
Semi-Autonomous Intersection Management, which allows vehicles with partially-autonomous
features such as adaptive cruise control to enter an intersection from different directions
simultaneously. Our experiments show that this protocol can greatly decrease traffic delay when
most vehicles are semi-autonomous. Our incremental deployment study reveals that traffic delay
keeps decreasing as more and more vehicles employ features of autonomy.
},
}
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