Paper MoB2.1
Zare, Arian (University of Minnesota), Stern, Raphael (University of Minnesota)
Discussing the Need for Multi-Phase Car Following for Electric Vehicle Car Following
Scheduled for presentation during the Regular Session "Control for cooperative driving and adaptive cruise control" (MoB2), Monday, June 16, 2025,
15:30−15:50, Jos
AAC 2025 11th IFAC International Symposium on Advances in Automotive Control, June 15-18, 2025, Eindhoven, Netherlands
This information is tentative and subject to change. Compiled on May 31, 2025
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Keywords Advanced Driver Assist Systems, Driver-in-the-loop and driver assistance systems, Intelligent transportation systems
Abstract
Electric vehicles (EVs) are revolutionizing the transportation industry by offering sustainability benefits over internal combustion engine (ICE) vehicles. Currently, most commercially available vehicles are equipped with advanced driver assistance systems (ADAS), such as adaptive cruise control (ACC). However, existing car-following models are unable to adequately capture the unique driving dynamics of electric vehicles with ACC and their resulting impacts on overall traffic flow stability, throughput, and energy consumption. To address this gap, we discuss the need for novel multi-phase car-following models for EV-ACC vehicles. This discussion is based on recent results that demonstrate the ability of multi-phase models to outperform existing car following models for electric vehicles. Furthermore, we discuss the stability impacts of EV-ACC vehicles on the overall traffic flow. The results show the superiority of the EVM in representing the unique car-following behavior of EV-ACC vehicles compared to traditional car-following models. Moreover, traffic simulations highlight how EV-ACC vehicles can enhance traffic stability, throughput, and efficiency compared to ICE-ACC vehicles.
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