Game theoretic decision making for autonomous vehicles' merge manoeuvre in high traffic scenarios

Mario Garzón; Anne Spalanzani

doi:10.1109/ITSC.2019.8917314

Game theoretic decision making for autonomous vehicles' merge manoeuvre in high traffic scenarios

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

10 Citations (Scopus)

Abstract

This paper presents a game theoretic decision making process for autonomous vehicles. Its goal is to provide a solution for a very challenging task: the merge manoeuvre in high traffic scenarios. Unlike previous approaches, the proposed solution does not rely on vehicle-to-vehicle communication or any specific coordination, moreover, it is capable of anticipating both the actions of other players and their reactions to the autonomous vehicle's movements.

Original language	English
Title of host publication	2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Pages	3448-3453
Number of pages	6
ISBN (Electronic)	9781538670248
DOIs	https://doi.org/10.1109/ITSC.2019.8917314
Publication status	Published - Oct 2019
Externally published	Yes
Event	2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, New Zealand Duration: 27 Oct 2019 → 30 Oct 2019

Conference

Conference	2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Country/Territory	New Zealand
City	Auckland
Period	27/10/19 → 30/10/19

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10.1109/ITSC.2019.8917314

Cite this

@inproceedings{630adcf3ed784290850a1026c3f9e339,

title = "Game theoretic decision making for autonomous vehicles' merge manoeuvre in high traffic scenarios",

abstract = "This paper presents a game theoretic decision making process for autonomous vehicles. Its goal is to provide a solution for a very challenging task: the merge manoeuvre in high traffic scenarios. Unlike previous approaches, the proposed solution does not rely on vehicle-to-vehicle communication or any specific coordination, moreover, it is capable of anticipating both the actions of other players and their reactions to the autonomous vehicle's movements.",

author = "Mario Garz{\'o}n and Anne Spalanzani",

year = "2019",

month = oct,

doi = "10.1109/ITSC.2019.8917314",

language = "English",

pages = "3448--3453",

booktitle = "2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019",

note = "2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 ; Conference date: 27-10-2019 Through 30-10-2019",

}

Garzón, M & Spalanzani, A 2019, Game theoretic decision making for autonomous vehicles' merge manoeuvre in high traffic scenarios. in 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019., 8917314, pp. 3448-3453, 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Auckland, New Zealand, 27/10/19. https://doi.org/10.1109/ITSC.2019.8917314

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T1 - Game theoretic decision making for autonomous vehicles' merge manoeuvre in high traffic scenarios

AU - Garzón, Mario

AU - Spalanzani, Anne

PY - 2019/10

Y1 - 2019/10

N2 - This paper presents a game theoretic decision making process for autonomous vehicles. Its goal is to provide a solution for a very challenging task: the merge manoeuvre in high traffic scenarios. Unlike previous approaches, the proposed solution does not rely on vehicle-to-vehicle communication or any specific coordination, moreover, it is capable of anticipating both the actions of other players and their reactions to the autonomous vehicle's movements.

AB - This paper presents a game theoretic decision making process for autonomous vehicles. Its goal is to provide a solution for a very challenging task: the merge manoeuvre in high traffic scenarios. Unlike previous approaches, the proposed solution does not rely on vehicle-to-vehicle communication or any specific coordination, moreover, it is capable of anticipating both the actions of other players and their reactions to the autonomous vehicle's movements.

UR - http://www.scopus.com/inward/record.url?scp=85076812458&partnerID=8YFLogxK

U2 - 10.1109/ITSC.2019.8917314

DO - 10.1109/ITSC.2019.8917314

M3 - Conference contribution

AN - SCOPUS:85076812458

SP - 3448

EP - 3453

BT - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

T2 - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

Y2 - 27 October 2019 through 30 October 2019

ER -

Game theoretic decision making for autonomous vehicles' merge manoeuvre in high traffic scenarios

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