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Sneha Chityala

Florida State University · US
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Area of research
Safety, Risk, Reliability and Quality · Control and Systems Engineering
Research interest
Research topics from publications: Driver Behavior at a Freeway Merge to Mixed Traffic of Conventional and Connected Autonomous Vehicles. Representative work: Freeway merge ramps serve as one of the most challenging areas in traffic operations. This paper primarily focuses on creating a mixed traffic of conventional and connected/autonomous vehicles (CAVs) on freeways, and capturing driver behaviors both for the merging vehicle on the ramp and the freeway vehicles. The mixed distribution of vehicle headways of the freeway vehicles, developed based on various market penetration rates of the CAVs, was used to randomly generate vehicles through Monte Carlo simulation, and assigned as headways in a driving simulator. Based on perception, young drivers on the merge ramp were observed to choose critical headway gaps of 2.9 s, 1.8 s, and 1.7 s for freewa
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Recent publications

Driver Behavior at a Freeway Merge to Mixed Traffic of Conventional and Connected Autonomous Vehicles
Transportation Research Record Journal of the Transportation Research Board 2020cited by 24position: firstdoi

Grants

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Frequent collaborators

John Sobanjo · Florida State University1 papers (2020–2020)Eren Erman Özgüven · Florida State University1 papers (2020–2020)Thobias Sando · Florida International University1 papers (2020–2020)Richard Twumasi-Boakye · Florida State University1 papers (2020–2020)
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