Title: Fuel economy benefit analysis of pass-at-green (PaG) V2I application on urban routes with STOP signs

Authors: Ozgenur Kavas-Torris; Mustafa Ridvan Cantas; Sukru Yaren Gelbal; Bilin Aksun-Guvenc; Levent Guvenc

Addresses: Department of Mechanical and Aerospace Engineering, Department of Electrical and Computer Engineering, The Ohio State University, Automated Driving Lab (ADL), 1320 Kinnear Rd., Columbus, OH, 43212, USA ' Department of Mechanical and Aerospace Engineering, Department of Electrical and Computer Engineering, The Ohio State University, Automated Driving Lab (ADL), 1320 Kinnear Rd., Columbus, OH, 43212, USA ' Department of Mechanical and Aerospace Engineering, Department of Electrical and Computer Engineering, The Ohio State University, Automated Driving Lab (ADL), 1320 Kinnear Rd., Columbus, OH, 43212, USA ' Department of Mechanical and Aerospace Engineering, Department of Electrical and Computer Engineering, The Ohio State University, Automated Driving Lab (ADL), 1320 Kinnear Rd., Columbus, OH, 43212, USA ' Department of Mechanical and Aerospace Engineering, Department of Electrical and Computer Engineering, The Ohio State University, Automated Driving Lab (ADL), 1320 Kinnear Rd., Columbus, OH, 43212, USA

Abstract: In this paper, the fuel economy benefit of a vehicle-to-infrastructure (V2I) algorithm called Pass-at-Green (PaG) was analysed and compared with different speed profile characteristics. The fuel-optimal speed profile calculated offline using Dynamic Programming (DP) was used for benchmarking. Manual Driving Speed Profile was included in the analysis as the human driver. Intelligent Driver Model (IDM), whose parameters were modified to model cautious, normal and aggressive behaviour, was also used for comparison. The state-of-the-art connected and autonomous driving Hardware-in-the-loop (HIL) setup enabled the use of Electronic Horizon (eHorizon), which provided localisation and detailed map information to the simulated test vehicle. An eHorizon Informed Manual Driving speed profile, where the eHorizon HIL system provided upcoming STOP sign location information, was also modelled. The results showed that having V2I capability in the longitudinal speed control of a vehicle has potential for substantial fuel consumption reduction while navigating through signalised and non-signalised intersections.

Keywords: automated vehicles; connected vehicles; V2I technology; HIL simulations; eHorizon; speed profile calculations; driver characteristics.

DOI: 10.1504/IJVD.2020.115058

International Journal of Vehicle Design, 2020 Vol.83 No.2/3/4, pp.258 - 279

Received: 01 Jun 2020
Accepted: 21 Oct 2020

Published online: 09 May 2021 *

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