… lane-change decision process of human driver. In [28], neural reinforcement learning technique
is proposed to realize human-like longitudinal trajectory planning and control. However, …

… When turning left or turning right at an intersection, our model can plan a trajectory very
close to a human driver, as shown in Fig. 9. For the keep straight situation, we mainly …

… V2V) cooperative trajectory-planning algorithm for connected … human drivers is presented
in this paper. The algorithm of cooperative game is introduced to plan collision-free trajectories …

… is trajectory planning in the control layer. In some literature, motion planning includes trajectory
planning and path planning, … motion control with considering human driver’s behaviour. …

… trajectory prediction of the human driver model (HDM) into the framework, such that the human
… The cooperative trajectory planning is solved applying the planning framework described …

… to human driving data; [ 3 ] planning by imitating human experts holds good potential for
human-like planning. … model and imitative planning and generate a constraint imitative trajectory …

… higher than a human’s, a motion planning system might choose trajectories, that are … by a
human driver. Because of this perceived lack of safety and the anxiety it may induce in human …

… in driver-assistance systems. This paper focuses on modeling lane-change behavior as a
dynamic model and planning safe and feasible lane-change trajectories … different driving styles …

… , an integrated trajectory planning and tracking … human driver model integrated with the
trajectory-planner is assumed to be capable to obtain a prediction motion of a human driver …

… of human drivers and realize human-like and safe behaviors by proposed trajectory planning
… The proposed calibration methods directly model human drivers’ subjective evaluations …