In a cut-in scenario, traditional adaptive cruise control usually cannot effectively identify the vehicle and respond to it in advance. This paper proposes an (ACC) strategy based on MPC algorithm for scenarios. A finite state machine (FSM) is designed manage different For method quantify possibility of proposed. At same time, safety distance model established as basis transition machine. Takin...

Dear Editor, This letter addresses the resilient model predictive control (MPC) problems for adaptive cruise (ACC) systems under sensor attacks. In light of vulnerabilities ACC to attacks, an intrusion detection mechanism is proposed at controller side distinguish abnormal data. Then, robust gains are derived design terminal region constraint MPC. Further, improved event-triggered scheme presen...

Abstract. In order to solve the problems of low path-tracking accuracy, poor safety, and stability intelligent vehicles with variable speeds obstacles on road, a double-layer adaptive model predictive controller (MPC) is designed. A vehicle point mass used in an obstacle avoidance planning controller, safety collision distance established according relationship between improve driving vehicle. ...

Under complex working conditions, vehicle adaptive cruise control (ACC) systems with fixed weight coefficients cannot guarantee good car following performance under all conditions. In order to improve the tracking and comfort of vehicles in different modes, a fuzzy model predictive (Fuzzy-MPC) algorithm is proposed. Based on comprehensive consideration safety, comfort, fuel economy limitations,...

Utilizing Vehicle-to-everything (V2X) communication technologies, vehicle platooning systems are expected to realize a new paradigm of cooperative driving with higher levels traffic safety and efficiency. Connected Autonomous Vehicles (CAVs) need have proper awareness the context. The platoon’s performance will be influenced by strategy. In particular, time-triggered or event-triggered interest...

In order to ensure that safety and reliability of tractor semitrailer combinations (TSCs) on the road, human drivers’ steering decisions need comprehensively consider trajectories states semitrailer. For this purpose, a dual predictive model adaptive switching control decision for directional is proposed. Firstly, multi-point preview algorithm general regression neural network are designed perc...