… human-like trajectory planning on curved roads has rarely been studied. In this paper, we
characterize and model human driving using extensive experimental driving … 20 novice drivers) …

… detection, driving behavior classification, traffic simulation modeling, etc. In this paper, we
focus on modeling human driving behavior in order to find simplifications for trajectory planning…

… could be much different with those of human drivers. This research proposes a humanlike
trajectory planning method by learning from naturalistic driving data. A cost function is …

… perspective of driving safety and riding comfort. However, human-like trajectory planning has
… In this paper, we characterize and model human driving trajectories using real vehicle field …

… Occurrence_Auto = 1, automation is required to be triggered and to collaborate with human
driver in trajectory planning and tracking. The HM-RRT algorithm is then activated and used …

… of human drivers based on human driver driving data, which have a natural advantage in
realizing human-like trajectory planning. Data-driven trajectory planning methods commonly …

… the human driver to achieve the driving goal since the human–machine conflict is considered
upstream in the cooperative trajectory planning. … This offers the human driver a possibility to …

… models to predict traffic scenes as realistic as possible according to human … trajectory
planning using dedicated driver models. The main idea is to first calculate a reference trajectory …

… factors of human drivers and the traffic … human-like lane-changing trajectory planning model,
which includes a longitudinal driving behavior model and a lateral lanechanging trajectory …

… for individual drivers to increase their trust is another issue for AVs. Therefore, a framework
of human-like path planning is proposed in this paper, considering driver characteristics of …