Measuring speed behaviors for future intelligent, adaptive in-vehicle speed management systems

Abstract

Quantifying the variability in drivers' speed profiles is crucial for the development of effective intelligent speed adaptation (ISA) systems. Current ISA systems face significant challenges in achieving both acceptability and effectiveness. By adapting ISA system response to individual driving styles, drivers would be less likely to view the system as a speed limiter; instead, they would be more inclined to view it as a speed management system that assists in the maintenance of safe driving speeds. Simulator experiments were conducted to measure the variability in drivers' speed keeping behavior in different driving scenarios. Experimental results were used to develop an advanced vehicle speed adaption system (AVSAS), which provides individual drivers with customized speed warnings based on their preferred speed, deceleration rates, and lateral accelerations in curves. The developed system was integrated in the center for intelligent systems research (CISR) driving simulator and compared against informative and mandatory ISAs to evaluate its contribution towards consumer acceptance and speed reduction effectiveness.