ITSC 2025 Paper Abstract

Paper FR-EA-T44.6

bouadi, marouane (hefei university of technology)

Impact of Commercial ACC Vehicles on Traffic Stability Considering Inter-Driver and Intra-Driver Heterogeneity in Human-Driven Vehicles

Scheduled for presentation during the Regular Session "S44b-Human Factors and Human Machine Interaction in Automated Driving" (FR-EA-T44), Friday, November 21, 2025, 14:50−15:30, Currumbin

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 18, 2025

Keywords Trust, Acceptance, and Public Perception of Autonomous Transportation Technologies, Cooperative Driving Systems and Vehicle Coordination in Multi-vehicle Scenarios, Multi-vehicle Coordination for Autonomous Fleets in Urban Environments

Abstract

This paper studies the impact of commercial Adaptive Cruise Control (ACC) vehicles on traffic stability in a mixed traffic flow, accounting for inter-driver and intra-driver heterogeneity in human-driven vehicles. Inter-driver heterogeneity captures variability in driving styles and powertrain dynamics across vehicles, while intra-driver heterogeneity reflects temporal stochasticity in vehicle dynamics. These heterogeneities explain two key phenomena: the probabilistic nature of traffic instability and the concave growth pattern of traffic oscillations. Qualitatively, we have found that ACC vehicles cannot suppress traffic oscillations generated by human drivers. Quantitatively, their ability to reduce oscillation strength is insignificant even at high penetration rates for long vehicle platoons. These findings challenge assumptions about ACC’s benefits and provide a foundation for designing next-generation automated vehicles capable of mitigating human-induced traffic oscillations.