Sequential game solution for lane-merging conflict between autonomous vehicles

Wu, Yang; Zhang, Zhiyong; Yuan, Jing; Ma, Qing; Gao, Lifen

doi:10.1109/itsc.2016.7795753

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…A rather unique exception is described in [103], which proposes a game-theoretic approach were two vehicles are considered at a time to play a 3-stages sequential game aimed at letting them agree on the best solution to merge. In the proposed setting two more measures are taken by the authors to find better solutions to the two-players game: communication between vehicles is allowed as a means to negotiate actions (admissible moves), and also multi-agent learning is exploited so as to let vehicles improve their own utility matrix as games are played.…”

Section: Emergentmentioning

confidence: 99%

Coordination of Autonomous Vehicles: Taxonomy and Survey

Mariani,

Cabri,

Zambonelli

2020

Preprint

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In the near future, our streets will be populated by myriads of autonomous self-driving vehicles to serve our diverse mobility needs. This will raise the need to coordinate their movements in order to properly handle both access to shared resources (e.g., intersections and parking slots) and the execution of mobility tasks (e.g., platooning and ramp merging). In this paper, we firstly introduce the general issues associated to coordination of autonomous vehicles, by identifying and framing the key classes of coordination problems. Following, we overview the different approaches that can be adopted to manage such coordination problems, by classifying them in terms of the degree of autonomy in decision making that is left to autonomous vehicles during coordination. Finally, we overview some further peculiar challenges that research will have to address before autonomously coordinated vehicles can safely hit our streets.

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Section: Emergentmentioning

confidence: 99%

Coordination of Autonomous Vehicles: Taxonomy and Survey

Mariani,

Cabri,

Zambonelli

2020

Preprint

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“…Solutions that assume that relative priorities between vehicles are given [8] or that the optimization order is known [9] have been proposed. Recently, game theory concepts have been applied to address coordination of vehicles [10].…”

Section: Introductionmentioning

confidence: 99%

A virtual vehicle based coordination framework for Autonomous Vehicles in heterogeneous scenarios

Debada

Makarem

Gillet

2017

2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES)

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Abstract-This work presents a novel virtual vehicle based decentralized coordination framework for Connected Autonomous Vehicles (CAVs). We explore the idea of CAVs being capable of positioning virtual vehicles to share their intended maneuver as well as request cooperation. This framework has potential to inspire versatile solutions and provides an intuitive interface to interact with reactive and unconnected vehicles. In this context, a preliminary coordination policy is proposed and tested on a three-legged single-lane roundabout. Simulation results show that the presented solution performs outstandingly better when it leverages the freedom at positioning virtual vehicles that our framework provides. Furthermore, the performance degradation resulting from mixing CAVs and unconnected cars is observed, and coordination assessment under this circumstance is discussed.

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Bargaining game approach for lane change maneuvers

Santos

Wolf

2019

2019 19th International Conference on Advanced Robotics (ICAR)

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Sequential game solution for lane-merging conflict between autonomous vehicles

Cited by 5 publications

References 8 publications

Coordination of Autonomous Vehicles: Taxonomy and Survey

Coordination of Autonomous Vehicles: Taxonomy and Survey

A virtual vehicle based coordination framework for Autonomous Vehicles in heterogeneous scenarios

Bargaining game approach for lane change maneuvers

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