To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …

Forecasting future driving conditions such as acceleration, velocity, and driver behaviors can
greatly contribute to safety, mobility, and sustainability issues in the development of new …

In order to solve the manual labelling, long-tail effect and driving conservatism of the existing
decision-making algorithm. This paper proposed an integrated decision-making framework …

Diverse passengers have various driving habits and driving preferences, thus the function of
personalized driving is one of the most important features for autonomous vehicles (AVs). In …

In this article, we propose a novel personalized planning and control approach for lane
change assistance system which can efficiently learn a model prediction control (MPC) …

研究了驾驶特性的识别方法, 驾驶人接管能力评估的进展, 驾驶特性在智能汽车领域中的应用;
将驾驶人状态监测划分为驾驶人疲劳监测, 分心监测和不良驾驶行为监测 …

The methods for the recognition of driving characteristics, the research progress on driver
takeover ability, and the application of driving characteristics to the field of intelligent …

Human-driven vehicles and different levels of autonomous vehicles are expected to coexist
on roads in the future. However, autonomous systems behave differently from their human …

The quantification and estimation of the driving style are crucial to improve the safety on the
road and the acceptance of drivers with level2–level3 (L2–L3) intelligent vehicles. Previous …

Since the existing control strategy for electro-hydraulic composite braking (EHB) system is
essentially" vehicle-centered", it is liable to cause incompatibility with current driving …