Real-time digital twin technology can enhance traffic safety of intelligent vehicular system
and provide scientific strategies for intelligent traffic management. At the same time, real …

To investigate the diversified technologies in Internet of Vehicles (IoV) under intelligent edge
computing, artificial intelligence, intelligent edge computing, and IoV are combined. Also, it …

The Internet of Vehicles (IoV) is an emerging paradigm, driven by recent advancements in
vehicular communications and networking. Meanwhile, the capability and intelligence of …

Resource-intensive applications on smart vehicles is posing difficulties to the use of
traditional cloud computing for computation offloading in vehicular networks. In particular …

In vehicular edge computing (VEC), vehicle users (VUs) can offload their computation-
intensive tasks to edge server (ES) that provides additional computation resources. Due to …

With the development of 6G wireless communication technologies, various resource-
intensive and delay-sensitive vehicle application tasks are generated. These application …

Due to the limited local computation resource, industrial vehicular computation requires
offloading the computation tasks with time-delay sensitive and complex demands to other …

Mobile edge computing (MEC) provides a novel computing paradigm to satisfy the
increasing computation requirements of mobile applications. In MEC-enabled intelligent …

Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …

Vehicular Edge Computing (VEC) is a promising paradigm for autonomous driving. It can
reduce delay and energy consumption of tasks. The problem of joint task offloading …