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 in2015 54th IEEE Conference on Decision and Control (CDC) Vol. 54rd IEEE Conference on Decision and Control,CDC 2015; pp. 4708 - 4713
Main Authors Murgovski, Nikolce, de Campos, Gabriel Rodrigues, Sjoberg, Jonas
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2015
Subjects
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ISBN9781479978861
1479978868
ISSN0743-1546
2576-2370
DOI10.1109/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.
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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  givenname: Gabriel Rodrigues
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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
URI https://ieeexplore.ieee.org/document/7402953
https://research.chalmers.se/publication/230889
Volume 54rd IEEE Conference on Decision and Control,CDC 2015
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