Multi-modal fusion is a basic task of autonomous driving system perception, which has
attracted many scholars' attention in recent years. The current multi-modal fusion methods …

Vehicle speed prediction plays a critical role in energy management strategy (EMS). Based
on the adaptive particle swarm optimization–least squares support vector machine (APSO …

The economy and safety of passages through the urban road intersection environment is an
important research topic in the field of intelligent transportation systems, but vehicle speed …

To exploit the energy-saving potential and optimize the battery state of charge (SOC)
maintaining capability of energy management strategies for fuel cell hybrid vehicles in …

The accurate prediction of vehicle speed is crucial for the energy management of vehicles.
The existing vehicle speed prediction (VSP) methods mainly focus on road vehicles and …

Vehicle speed prediction can facilitate many applications, such as optimizing vehicle
propulsion systems and designing advanced driver assistance control systems. In a complex …

Multi-modal fusion is a basic task of autonomous driving system perception, which has
attracted many scholars' interest in recent years. The current multi-modal fusion methods …

为了提高车辆在城市交叉口自由行驶状态下的车速预测性能, 提出一种考虑本车与其他交通参与
者交互特性的车速预测新方法. 首先, 提出一种车辆目标细分方法来区分其他车辆相对于本车的 …

The rapid expansion of large urban areas underscores the critical importance of road
infrastructure. An accurate understanding of traffic flow on road networks is essential for …

Many intelligent vehicular and transportation applications require the ability to predict
vehicle speed. However, it is challenging to accurately predict on-road vehicle speed since …