Protected turning movements of noncooperative automated vehicles: geometrics, trajectories, and saturation flow
File(s)
Author(s)
Liu, Xiaobo
Lai, Lijuan
Kong, You
Le Vine, Scott
Type
Journal Article
Abstract
This study is the first to quantify throughput (saturation flow) of noncooperative automated vehicles when performing turning maneuvers, which are critical bottlenecks in arterial road networks. We first develop a constrained optimization problem based on AVs’ kinematic behavior during a protected signal phase which considers both ABS-enabled and wheels-locked braking, as well as avoiding encroaching into oncoming traffic or past the edge-of-receiving-lane. We analyze noncooperative (“defensive”) behavior, in keeping with the Assured Clear Distance Ahead legal standard to which human drivers are held and AVs will likely also be for the foreseeable future. We demonstrate that, under plausible behavioral parameters, AVs appear likely to have positive impacts on throughput of turning traffic streams at intersections, in the range of +0.2% (under the most conservative circumstances) to +43% for a typical turning maneuver. We demonstrate that the primary mechanism of impact of turning radius is its effect on speed, which is likely to be constrained by passenger comfort. We show heterogeneous per-lane throughput in the case of “double turn lanes.” Finally, we demonstrate limited sensitivity to crash-risk criterion, with a 4% difference arising from a change from 1 in 10,000 to 1 in 100,000,000. The paper concludes with a brief discussion of policy implications and future research needs.
Date Issued
2018-01-10
Date Acceptance
2017-11-15
Citation
Journal of Advanced Transportation, 2018, 2018
ISSN
0197-6729
Publisher
Hindawi Publishing Corporation
Journal / Book Title
Journal of Advanced Transportation
Volume
2018
Copyright Statement
© 2018 Xiaobo Liu et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000423031400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Engineering, Civil
Transportation Science & Technology
Engineering
Transportation
ADAPTIVE CRUISE CONTROL
SIGNALIZED INTERSECTIONS
AUTONOMOUS VEHICLES
LANES
DISCHARGE
Publication Status
Published
Article Number
1879518
Date Publish Online
2018-01-10