Enhancing Driver Decision-Making Through Head-Up Display: A Study on Information Sensitivity and Visualization Methods

With the increasing integration of advanced on-board sensors and vehicle-to-everything (V2X) communication systems in modern vehicles, a wide range of real-time information, such as traffic conditions, can be captured and displayed in intelligent cabins to assist drivers in making driving decision more effectively. However, it remains unclear which types of information are most sensitive to driving behavior and how to effectively visualize them to enhance driver assistance. This work investigates the impact of different information types and methods of presentation on driving behavior. Particularly, we focus on the usage of Head-Up Displays (HUDs) through the method that combines survey and simulation experiments. The survey will first capture drivers' preferences regarding in-formation from the HUD and their subjective assessment of display clarity and effectiveness. Subsequently, we design a simulation-based driving experiment using Webots simulator to evaluate the impact of HUD on driving performance in typical platoon scenarios. Results indicate that, by providing key real-time information such as navigation, speed, and vehicle distance in HUDs, driving stability can be significantly enhanced. The study concludes that HUD is an effective way for improving driver decision-making plan in complex traffic environments, offering insights into optimizing information presentation ways for future intelligent cabin designs.