2018
DOI: 10.1109/tcst.2017.2723574
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Game Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems

Abstract: Abstract-Autonomous driving has been the subject of increased interest in recent years both in industry and in academia. Serious efforts are being pursued to address legal, technical, and logistical problems and make autonomous cars a viable option for everyday transportation. One significant challenge is the time and effort required for the verification and validation of the decision and control algorithms employed in these vehicles to ensure a safe and comfortable driving experience. Hundreds of thousands of… Show more

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Cited by 226 publications
(154 citation statements)
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“…Above, η, ζ ≥ 0 are weighting parameters that can be varied to examine solution sensitivity or represent user preferences. The optimization problem (15) may not be easy to solve because the dimension |B k | is typically large. In what follows we introduce a simple but effective value filtering method so that the continuity term W B k (D) can be dropped.…”
Section: A Lbo Formulationmentioning
confidence: 99%
“…Above, η, ζ ≥ 0 are weighting parameters that can be varied to examine solution sensitivity or represent user preferences. The optimization problem (15) may not be easy to solve because the dimension |B k | is typically large. In what follows we introduce a simple but effective value filtering method so that the continuity term W B k (D) can be dropped.…”
Section: A Lbo Formulationmentioning
confidence: 99%
“…The level-k framework has been exploited for modeling human-human, human-machine, and machine-machine 1 interactions in automotive systems [3], [16], [19], aerospace systems [13], [14], as well as in cyber-physical security [15]. It has been revealed in [16] that an ego agent using a decision strategy corresponding to a level-k model with some fixed k may behave poorly when interacting with another agent using a decision strategy of level-σ with σ = k − 1.…”
Section: A the Level-k Frameworkmentioning
confidence: 99%
“…A majority of existing studies have focused on designing AVs' driving algorithms in various scenarios to ensure traffic efficiency, safety, or ethics (Reece and Shafer, 1993;Yoo and Langari, 2013;Kim and Langari, 2014;Yu et al, 2018;Wang et al, 2015;Talebpour et al, 2015;Wang et al, 2016;Gong et al, 2016;Gong and Du, 2018;Li et al, 2018;Huang et al, 2019a,c,b;Smith, 2019), but ignoring human drivers' behavioral adaptation to AVs as humans are exposed to more and more traffic encounters with AVs. Human drivers may have a weaker incentive to exercise "due care" when faced with AVs.…”
Section: Literature Reviewmentioning
confidence: 99%