Target Vehicle Selection Algorithm for Adaptive Cruise Control Based on Lane-changing Intention of Preceding Vehicle

• DOI: 10.1186/s10033-021-00650-8
• Publication Date: 2021-12-11T09:02:51Z
• Authors: Jun Yao; Guoying Chen; Zhenhai Gao
• Keywords: Selection algorithm; Position (finance)

Abstract To improve the ride comfort and safety of a traditional adaptive cruise control (ACC) system when preceding vehicle changes lanes, it proposes target selection algorithm based on prediction lane-changing intention for vehicle. First, Next Generation Simulation dataset is used to train sliding window support vector machine, in current lane identified by lateral position offset. Second, according collision threat vehicle, studied under three different conditions: safe lane-changing, dangerous cancellation. Finally, effectiveness proposed verified co–simulation platform. The simulation results show that can ensure smooth transfer effectively reduce longitudinal acceleration fluctuation subject lanes safely or cancels their change maneuver. In case change, this paper respond more rapidly than method ACC system; thus, avoid collisions