Considering that human-driven vehicles and autonomous vehicles (AVs) will coexist on
roads in the future for a long time, how to merge AVs into human drivers' traffic ecology and
minimize the effect of AVs and their misfit with human drivers, are issues worthy of
consideration. Moreover, different passengers have different needs for AVs, thus, how to
provide personalized choices for different passengers is another issue for AVs. Therefore, a
human-like decision making framework is designed for AVs in this paper. Different driving …

There may exist long-term mixed traffic that consists of human-driven vehicles (HDV) and
autonomous driving vehicles (ADV). Hence, a formidable challenge arises: the effective
decision-making process among these heterogeneous vehicle types. The disparity in the
level of decision-making among heterogeneous vehicles is significant. Human driving
behaviors and volition, performed in HDV, are speculative and uncertain, while ADV's
behavior is unitary and conservative. To address this issue, a human-like decision-making …