… models (eg [6-8]) developed during last several decades that better represent the mobility
in the traffic with vehicle dynamics and human driving characteristics taken into consideration. …

… We admit that there are still a lot of traffic situations we cannot handle smoothly and naturally
as our human drivers, such as traffic free intersections, imminent situations, construction …

… simulator to develop a scenario straight lane for a free lanechanging test in order to
collect the lane-changing features of human drivers for trajectory planning. Compared to …

… , which is preferred by most human drivers. This indicates that we … driver assistance systems
for human drivers. It should also be pointed out that the proposed indirect trajectory planning …

… In this section, we introduce a social trajectory planning method framework with … -turn
trajectory planning framework, followed by an analysis of the interaction features of human drivers …

… Finally, comparing the presented decision-making with that of a human driver reveals that
human drivers do not perform this kind of risk-based reasoning but primarily act instinctively 34 …

… Moreover, LL is more efficient method than PV to represent the on-road trajectory planning
because a human driver makes an on-road driving strategy with two separate directions, such …

… experiments and compare the performance of the proposed method to that of human driving.
… learned trajectory planning strategy in terms of safety, driving comfort (trajectory jerkiness), …

… roads have been performed to compare the lateral driving comfort resulting from the actuations
by the two controller models to the human driving behaviour. Therefore the test vehicle (…

… And for each option, a human driver is likely to find an optimal solution, see Fig. 2. To
illustrate this with a simple example: Consider following a slower car which exposes two options: …