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 prerequisite is to identify the driver’s individualities. This paper presents a driver behavior characteristics identification strategy for LCACC based on a dynamics driver model. Firstly, a driver behavior data acquisition system was established using the dSPACE real-time simulation platform, and different types of driver behavior data were collected under the typical test condition. Then, driver behavior characteristics were analyzed and identified based on the dynamics driver model, which combined the longitudinal and lateral control behavior. Finally, the proposed identification strategy was verified by the driver-in-the-loop simulator. The results show that the driver model we proposed could represent specific driver behavior characteristics and the LCACC system could work well coordinated with driver.