Driver Behavior Characteristics Identification Strategy for Adaptive Cruise Control System with Lane Change Assistance

摘要

Adaptive cruise control system with lane change assistance (LCACC) is a novel advanced driver assistance system (ADAS), which enables dual-target tracking, safe lane change, and longitudinal ride comfort. To design the personalized LCACC system, one of the most important prerequisites is to identify the driver's individualities. This paper presents a real-time driver behavior characteristics identification strategy for LCACC system. Firstly, a driver behavior data acquisition system was established based on the driver-in-the-loop simulator, and the behavior data of different types of drivers were collected under the typical test condition. Then, the driver behavior characteristics factor Ks we proposed, which combined the longitudinal and lateral control behaviors, was used to identify the driver behavior characteristics. And an individual safe inter-vehicle distances field (ISIDF) was established according to the identification results. Finally, the ISIDF was verified by the vehicle with LCACC system through simulation software of Panosim and Matlab/Simulink. The results show that the driver behavior characteristics identification strategy we proposed could achieve good real-time performance and ISIDF could provide basic guarantee for the safety, tracking, and comfort performance of LCACC system.