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Connected Cruise and Traffic Control for Pairs of Connected Automated Vehicles

Sicong Guo, Gábor Orosz, Tamás G. Molnár

2023IEEE Transactions on Intelligent Transportation Systems18 citationsDOI

Abstract

This paper considers mixed traffic consisting of connected automated vehicles equipped with vehicle-to-everything (V2X) connectivity and human-driven vehicles. A control strategy is proposed for communicating pairs of connected automated vehicles, where the two vehicles regulate their longitudinal motion by responding to each other, and, at the same time, stabilize the human-driven traffic between them. Stability analysis is conducted to find stabilizing controllers, and simulations are used to show the efficacy of the proposed approach. The impact of the penetration of connectivity and automation on the string stability of traffic is quantified. It is shown that, even with moderate penetration, connected automated vehicle pairs executing the proposed controllers achieve significant benefits compared to when these vehicles are disconnected and controlled independently.

Topics & Concepts

Cruise controlAutomationCooperative Adaptive Cruise ControlStability (learning theory)Computer sciencePenetration rateVehicle dynamicsEngineeringControl engineeringControl (management)Control theory (sociology)Automotive engineeringArtificial intelligenceGeotechnical engineeringMechanical engineeringMachine learningTraffic control and managementAutonomous Vehicle Technology and SafetyVehicular Ad Hoc Networks (VANETs)
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