Microcosmic driving behavior includes car-following and lane-changing. Lane-changing
may induce traffic oscillations and incidents. In real traffic circumstances, each driver has …

With an increasing reliance on autonomous driving technologies, mixed traffic is expected to
emerge as a dominant mode in the traffic ecosystem of the coming future, which will …

This paper investigates the autonomous driving lane change problem with reinforcement
learning methods. A two-stage control method is proposed which includes a decision …

It is crucial for automated vehicles to interact with the surrounding vehicles properly in urban
environment that can make both passengers and surrounding drivers feel safe and at ease …

In a lane change (LC) scenario, the lane change vehicle interacts with surrounding vehicles.
The interactions not only affect their driving behaviors but also influence the traffic flow. This …

In recent years, due to growing interest in automated driving, the need for better
understanding the humans driving behavior, and particularly the lane changing and car …

Safe and efficient autonomous driving maneuvers in an interactive and complex
environment can be considerably challenging due to the unpredictable actions of other …

Recent years have shown great progress in driving assistance systems, approaching
autonomous driving step by step. Many approaches rely on lane markers however, which …

Driving is a highly complex task that involves the execution of multiple cognitive tasks
belonging to different levels of abstraction. Traffic emerges from the interaction of a big …

Autonomous cars have to navigate in dynamic environment which can be full of
uncertainties. The uncertainties can come either from sensor limitations such as occlusions …