… particularly to the errant nature of human driving, especially in high-… human error under the
mixed traffic environment are proposed: 1) human error from inside of the vehicles; 2) human …

… HDVs follow unchanged, universal human driver behaviors, which is … human drivers tend
to behave quite differently. Learning algorithms should thus work with different human driving …

… tracking problem of autonomous vehicles rather than ADAS. … a cooperative control framework
for human driver and ARS … : (1) In this cooperative control framework, human driver is the …

… of drivers' perception of the autonomous vehicle and context on driver-vehicle cooperation…
Therefore, this work links the basic theoretical principles of driver-vehicle cooperation with …

… reaction time and space-ahead anticipation in the Human Driver Model (HDM) [99] while …
of autonomous vehicles, we present a novel microscopic Autonomous Vehicle Driving Model (…

… human driving data and vehicle dynamics for human-like autonomous driving. To control
the … to look into detailed surveys on collaborative autonomous driving mechanisms [13,109]. …

… describing the driving behavior of typical human drivers, which … in real-time and adjust
driving status accordingly. In general, … vehicles and drive cooperatively (Fig. 6). Compared with …

… variability and randomness of traffic scenarios require the automated vehicles to be with … ,
we design a driving-dedicated architecture that works by the cooperation between modules. It …

… cooperative lane-change decision-making issue of autonomous vehicles (AVs), a cooperative
coalitional game approach is utilized considering human-like driving characteristics. Firstly…

… to cooperative automated vehicles to enhance the inner cooperation (between human driver
… predicting both actor’s abilities to control the vehicle and act accordingly. In Section 4, the …