ITSC 2024 Paper Abstract

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Paper FrAT10.4

Li, Shihao (Southeast University), Chen, Jingxu (Southeast University), Zhou, Bojian (Southeast University), Zhang, Yong (southeast university, school of transportation)

Impacts Analysis of Perceptual Anomalies on Connected Autonomous Vehicles and Platoon

Scheduled for presentation during the Regular Session "Multi-autonomous Vehicle Studies, Models, Techniques and Simulations II" (FrAT10), Friday, September 27, 2024, 11:30−11:50, Salon 18

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on October 14, 2024

Keywords Multi-autonomous Vehicle Studies, Models, Techniques and Simulations, Cooperative Techniques and Systems, Simulation and Modeling

Abstract

This study aims to analyze the impacts of perceptual anomalies on the mobility of connected autonomous vehicles (CAVs) and the performance of platoon. To achieve this, we establish a generalized model to describe the dynamics of CAVs with perceptual anomalies. Specifically, this model incorporates a bi-layer architecture to integrate various perceptual anomalies from both the vehicular and cyber layers, for capturing the cooperative nature of CAVs and the multifaceted features of perceptual anomalies. In particular, we introduce a dynamical communication scheme to characterize the communication topology changes of CAVs platoon when suffering perceptual anomalies. Subsequently, by using the intelligent driver model (IDM), we specify this model, upon which we conduct extensive simulation experiments to advance the understanding on the behaviors of CAVs and the dynamics of platoon under perceptual anomalies. The results show that perceptual anomalies, whether they originate from the vehicular layer or the cyber layer, can directly trigger the host CAV to accelerate or decelerate abruptly, indirectly leading to platoon oscillations. In some cases, the cooperation capacities of CAVs may degrade, and rear-end collisions may even occur within platoon. Furthermore, with extended durations of perceptual anomalies, there is an associated increase in the time required for CAVs platoon to normalize.

 

 

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