Convex modeling of conflict resolution at traffic intersections
We stud the problem of optimally controlling autonomous vehicles to safely cross an intersection. The problem is approached by solving an optimal control subproblem for all permutations of crossing sequences. For a chosen crossing sequence, we show that the subproblem of optimal longitudinal vehicle...
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Published in | 2015 54th IEEE Conference on Decision and Control (CDC) Vol. 54rd IEEE Conference on Decision and Control,CDC 2015; pp. 4708 - 4713 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.12.2015
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Online Access | Get full text |
ISBN | 9781479978861 1479978868 |
ISSN | 0743-1546 2576-2370 |
DOI | 10.1109/CDC.2015.7402953 |
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Abstract | We stud the problem of optimally controlling autonomous vehicles to safely cross an intersection. The problem is approached by solving an optimal control subproblem for all permutations of crossing sequences. For a chosen crossing sequence, we show that the subproblem of optimal longitudinal vehicle control, subject to collision avoidance constraints, can be formulated as a convex program. The proposed method transforms the problem from the original time domain to a space domain, and introduces a change of optimization variables by replacing vehicles' speed with its inverse. A case study is provided showing the effectiveness of the proposed method. |
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AbstractList | We stud the problem of optimally controlling autonomous vehicles to safely cross an intersection. The problem is approached by solving an optimal control subproblem for all permutations of crossing sequences. For a chosen crossing sequence, we show that the subproblem of optimal longitudinal vehicle control, subject to collision avoidance constraints, can be formulated as a convex program. The proposed method transforms the problem from the original time domain to a space domain, and introduces a change of optimization variables by replacing vehicles' speed with its inverse. A case study is provided showing the effectiveness of the proposed method. We study the problem of optimally controlling autonomous vehicles to safely cross an intersection. The problem is approached by solving an optimal control subproblem for all permutations of crossing sequences. For a chosen crossing sequence, we show that the subproblem of optimal longitudinal vehicle control, subject to collision avoidance constraints, can be formulated as a convex program. The proposed method transforms the problem from the original time domain to a space domain, and introduces a change of optimization variables by replacing vehicles’ speed with its inverse. A case study is provided showing the effectiveness of the proposed method. |
Author | Murgovski, Nikolce de Campos, Gabriel Rodrigues Sjoberg, Jonas |
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Snippet | We stud the problem of optimally controlling autonomous vehicles to safely cross an intersection. The problem is approached by solving an optimal control... We study the problem of optimally controlling autonomous vehicles to safely cross an intersection. The problem is approached by solving an optimal control... |
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StartPage | 4708 |
SubjectTerms | Accidents Collision avoidance Cost function Optimal control Safety Vehicles |
Title | Convex modeling of conflict resolution at traffic intersections |
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