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Automated and Cooperative Vehicle Merging at Highway On-Ramps

IEEE Transactions on Intelligent Transportation Systems · 2016 · Vol. 18(4) · pp. 780–789
Jackeline Rios-TorresAndreas A. Malikopoulos

Abstract

Recognition of necessities of connected and automated vehicles (CAVs) is gaining momentum. CAVs can improve both transportation network efficiency and safety through control algorithms that can harmonically use all existing information to coordinate the vehicles. This paper addresses the problem of optimally coordinating CAVs at merging roadways to achieve smooth traffic flow without stop-and-go driving. We present an optimization framework and an analytical closed-form solution that allows online coordination of vehicles at merging zones. The effectiveness of the efficiency of the proposed solution is validated through a simulation, and it is shown that coordination of vehicles can significantly reduce both fuel consumption and travel time.

Traffic control and managementAutonomous Vehicle Technology and SafetyTransportation Planning and OptimizationFuel efficiencyEngineeringAutomotive engineeringControl (management)Traffic flow (computer networking)Intelligent transportation systemComputer scienceVehicle dynamicsTransport engineeringControl engineering
Citations
467
FWCI
28.96
field-weighted impact
References
64
Percentile
100%
vs. same field & year
Citations per year
References
ALINEA: A LOCAL FEEDBACK CONTROL LAW FOR ON-RAMP METERING
Transportation Research Record Journal of the Transportation Research Board · 1991 · 673 citations
Freeway ramp metering: an overview
IEEE Transactions on Intelligent Transportation Systems · 2002 · 687 citations
A Survey on the Coordination of Connected and Automated Vehicles at Intersections and Merging at Highway On-Ramps
IEEE Transactions on Intelligent Transportation Systems · 2016 · 781 citations
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