The increasing complexity of vehicles has led to a growing demand for in-vehicle services
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …

Vehicular Edge Computing (VEC) has gained popularity due to its ability to enhance
vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power …

Vehicular edge computing (VEC) is a new computing paradigm that has great potential to
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …

For in-vehicle application, the vehicles with different speeds have different delay
requirements. However, vehicle speeds have not been extensively explored, which may …

Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …

For in-vehicle application, task type and vehicle state information, ie, vehicle speed, bear a
significant impact on the task delay requirement. However, the joint impact of task type and …

In recent years, data-driven intelligent transportation systems (ITS) have developed rapidly
and brought various AI-assisted applications to improve traffic efficiency. However, these …

Vehicular edge computing (VEC) is envisioned as a promising approach to process the
explosive computation tasks of vehicular user (VU). In the VEC system, each VU allocates …

By deploying computing, storage, and bandwidth resources at the user side, vehicular edge
computing (VEC) provides low-delay services for vehicle users. However, due to the limited …

With the rapid development of vehicular networks, various applications that require high
computation resources have emerged. To efficiently execute these applications, vehicular …