activity
20212023
most citedModelling and Analysis of Car Following Algorithms for Fuel Economy Improvement in Connected and Autonomous Vehicles (CAVs)

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2023★ 1 cited

The Effects of Varying Penetration Rates of L4-L5 Autonomous Vehicles on Fuel Efficiency and Mobility of Traffic Networks

Ozgenur Kavas-Torris, M. Ridvan Cantas, Karina Meneses Cime +2

Microscopic traffic simulators that simulate realistic traffic flow are crucial in studying, understanding and evaluating the fuel usage and mobility effects of having a higher num…

eess.SY2022

Dynamic Speed Harmonization

Ozgenur Kavas-Torris, Levent Guvenc

In the last decade, the accelerated advancements in manufacturing techniques and material science enabled the automotive industry to manufacture commercial vehicles at more afforda…

eess.SY2022★ 1 cited

A Comprehensive Eco-Driving Strategy for Connected and Autonomous Vehicles (CAVs) with Microscopic Traffic Simulation Testing Evaluation

Ozgenur Kavas-Torris, Levent Guvenc

In this paper, a comprehensive Eco-Driving strategy for CAVs is presented. In this setup, multiple driving modes calculate speed profiles ideal for their own set of constraints sim…

eess.SY2022★ 1 cited

Modelling and Analysis of Car Following Algorithms for Fuel Economy Improvement in Connected and Autonomous Vehicles (CAVs)

Ozgenur Kavas-Torris, Levent Guvenc

Connectivity in ground vehicles allows vehicles to share crucial vehicle data, such as vehicle acceleration, with each other. Using sensors such as cameras, radars and lidars, on t…

eess.SY2021

V2X Communication Between Connected and Automated Vehicles (CAVs) and Unmanned Aerial Vehicles (UAVs)

Ozgenur Kavas-Torris, Sukru Yaren Gelbal, Mustafa Ridvan Cantas +2

Connectivity between ground vehicles can be utilized and expanded to include aerial vehicles for coordinated missions. Using Vehicle-to-Everything (V2X) communication technologies,…