Vehicular cloud computing (VCC) system coordinates the vehicular cloud (consisting of
vehicles' computing resources) and the remote cloud properly to provide in-time services to …

In this paper, we propose a novel adaptive cloud resource allocation model based on Semi-
Markov Decision Process (SMDP) and Reinforcement Learning (RL) algorithm in vehicular …

Vehicular ad hoc networks are expected to significantly improve traffic safety and
transportation efficiency while providing a comfortable driving experience. However …

In the era of the Internet of Things, all components in intelligent transportation systems will
be connected to improve transport safety, relieve traffic congestion, reduce air pollution, and …

Modern transportation is associated with considerable challenges related to safety, mobility,
the environment and space limitations. Vehicular networks are widely considered to be a …

Technological evolutions in the automobile industry, especially the development of
connected and autonomous vehicles, have granted vehicles more computing, storage, and …

Vehicular networking has become a significant research area due to its specific features and
applications such as standardization, efficient traffic management, road safety and …

Vehicular clouds (VCs) have become a promising research area due to its on-demand
solutions, resource pooling, unified services, autonomous cloud formation and …

Research into the requirements for mobile services has seen a growing interest in the fields
of cloud technology and vehicular applications. Integrating cloud computing and storage …

With the proliferation of automobile industry, vehicles are augmented with various forms of
increasingly powerful computation, communication, storage and sensing resources. A …