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Design Autonomous Vehicle Behaviors in Heterogeneous Traffic Flow

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dc.contributor.authorLi, Jia
dc.contributor.authorChen, Di
dc.contributor.authorZhang, Michael
dc.date.accessioned2022-03-17T14:56:41Z
dc.date.available2022-03-17T14:56:41Z
dc.date.issued2022-03-31
dc.descriptionFinal Reporten_US
dc.description.abstractWhile much attention was paid to the interactions of human-driven and automated vehicles at the microscopic level in recent years, the understanding of the macroscopic properties of mixed autonomy traffic flow still remains limited. In this report, we present an equilibrium model of traffic flow with mixed autonomy based on the theory of two-player games. We consider self-interested traffic agents (i.e., human-driven and automated vehicles) endowed with different speed functions and interacting with each other simultaneously in both longitudinal and lateral dimensions. We propose a two-player game model to encapsulate their interactions and characterize the equilibria the agents may reach. We show that the model admits two types of Nash equilibria, one of which is always Pareto efficient. Based on this equilibrium structure, we propose a speed policy that guarantees the realized equilibria are Pareto efficient in all traffic regimes. We present two examples to illustrate the applications of this model. In one example, we construct flux functions for mixed autonomy traffic based on behavior characteristics of agents. In the other example, we consider a lane policy and show that mixed autonomy traffic may exhibit counterintuitive behaviors even though all the agents are rational. In addition, we present empirical evidence concerning the assumptions made in the model.en_US
dc.description.sponsorshipU.S. Department of Transportation 69A3551747119en_US
dc.identifier.urihttps://hdl.handle.net/1813/111136
dc.language.isoen_USen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectmixed autonomy trafficen_US
dc.subjectautomated vehicle behavior designen_US
dc.subjectgame theoryen_US
dc.titleDesign Autonomous Vehicle Behaviors in Heterogeneous Traffic Flowen_US
dc.typereporten_US
schema.accessibilityFeaturereadingOrderen_US
schema.accessibilityFeaturestructuralNavigationen_US
schema.accessibilityFeaturetaggedPDFen_US
schema.accessibilityHazardunknownen_US

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