No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

Merging is, in general, a challenging task for both human drivers and autonomous vehicles,
especially in dense traffic, because the merging vehicle typically needs to interact with other …

This paper presents a hierarchical and game-theoretic decision-making strategy for
connected and automated vehicles (CAVs). A CAV can receive preview information using …

Highway merging scenarios featuring mixed traffic conditions pose significant modeling and
control challenges for connected and automated vehicles (CAVs) interacting with incoming …

Understanding the intention of vehicles in the surrounding traffic is crucial for an
autonomous vehicle to successfully accomplish its driving tasks in complex traffic scenarios …

In this letter, we present an approach for learning human driving behavior, without relying on
specific model structures or prior distributions, in a mixed-traffic environment where …

Traffic congestion is a serious social problem, while the multi-lane merging is a common and
typical road structure that easily causes traffic congestion. The advent of connected and …

A simulation environment for assessing the forced merging strategies for autonomous
vehicles (AV) is described. Such forced merging strategies need to explicitly account for …

智能驾驶是交通和汽车领域未来发展的重要方向, 决策规划作为智能驾驶系统中的关键模块,
一直是其重点研究领域之一. 当前的研究热点正在从单车智能驾驶决策向混行交通场景下的多车 …

The number of Autonomous Vehicles (AVs) coexisting with conventional human-driven
vehicles is expected to increase significantly in the coming years. This coexistence will last …