Transportation networks are essential to the functioning of modern societies. They provide
access to goods, services, and opportunities, connecting people and places. However, the …

In close-range air combat, highly reliable trajectory prediction results can help pilots to win
victory to a great extent. However, traditional trajectory prediction methods can only predict …

Abstracts Digital technology plays an important role in the construction of intelligent
transportation systems. The digitization of travel and traffic information contributes to the …

在智能驾驶场景中, 对高精地图的实时动态信息和静态数据的协同调用可以支持智能驾驶系统
准确地重构道路行驶场景, 并针对复杂的道路环境和突发事件做出安全高效的决策. 因此 …

Unsafe lane‐changing behaviors can easily lead to traffic accidents. Drivers usually turn on
their turn signals to signal surrounding vehicles before changing lanes. At present, there is a …

Understanding vehicles' movement in complex environments becomes cruical with the fast
development of connected automated vehicles (CAVs). Current microscopic traffic flow …

In this study, the error distribution of a highly nonlinear triangulation positioning system in a
typical short-range vehicle-to-vehicle environment is analyzed. To investigate the influence …

针对现有的驾驶员不满度模型未考虑驾驶风格而导致换道决策难以适应不同类型驾驶员的问题,
改进基于前车车速的驾驶员不满度模型, 并结合基于椭圆车辆模型的最小安全距离模型 …

To make up for the shortcomings of traditional music teaching strategies and improve the
intelligence of music teaching, this study uses a reinforcement learning (RL) algorithm to …

Objectives In the intelligent driving scene, the collaborative calls of real-time dynamic
information and static data of high definition maps can support the intelligent driving system …