Modeling Car-Following Behavior of Electric Adaptive Cruise Control Vehicles Using Experimental Testbed Data

Arian Zare, Mingfeng Shang, Xingan David Kan, Raphael Stern

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Automated vehicles (AVs) have the potential to revolutionize the transportation industry. While extensive research has been conducted to explore the benefits of AVs on traffic flow, commercially available adaptive cruise control (ACC) vehicles with advanced driver assistance features have been shown adverse effects on traffic flow. As vehicle automation advances, electric vehicles (EVs) equipped with ACC are emerging as an alternative to traditional internal combustion engine (ICE) vehicles. However, there is still a limited understanding of the differences in vehicle dynamics between EV-ACC and ICE-ACC vehicles. This study utilizes microscopic car-following models to describe the vehicle dynamics of EV-ACC vehicles. The model parameters are calibrated based on an experiment conducted with commercially available EV-ACC vehicles. The calibration results indicate that the optimal velocity relative velocity (OVRV) model outperforms the intelligent driver model (IDM) in most gap settings by up to 37%, suggesting that the OVRV model can effectively capture the driving behavior of EV-ACC vehicles. However, simulations of a string of vehicles imply that the IDM is more accurate in capturing amplifications due to velocity disturbances. Therefore, the development of higher-fidelity microscopic car-following models specifically for EV-ACC vehicles is necessary.

Original languageEnglish (US)
Title of host publication2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5585-5590
Number of pages6
ISBN (Electronic)9798350399462
DOIs
StatePublished - 2023
Event26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 - Bilbao, Spain
Duration: Sep 24 2023Sep 28 2023

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)2153-0009
ISSN (Electronic)2153-0017

Conference

Conference26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
Country/TerritorySpain
CityBilbao
Period9/24/239/28/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

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