Uncertainty-aware and safety-enhanced management of CAVs for safer mixed traffic

Research Project, 2024 – 2025

Safety of connected and autonomous vehicles (CAVs) within mixed traffic environments, characterized by a coexistence of CAVs and human-driven vehicles (HDVs), necessitates a comprehensive approach that takes into account the multifaceted uncertainties inherent in real traffic scenarios and driving environments.  This project mainly aims to achieve the following two objectives to enhance safe operation of CAVs in real-world complex traffic environment:

1, Uncertainty perception and quantification in mixed traffic scenarios to identify and quantify risk. This objective aims to develop advanced perception and quantification models that can predict and quantify the uncertainties that may result in safety issues of CAVs.

2, Safety-enhanced and uncertainty-aware operational control of CAVs in mixed traffic environments. This objective aims to develop adaptive and robust operation control methodologies for CAVs in mixed traffic, including cooperative decision-making and real-time adjustments of control based on perceived/predicted uncertainties to enhance the safe operation.