With the advent of the electric power big data era, semantic interoperability and
interconnection of power data have received extensive attention. Knowledge graph …

The construction of a new power system based on new energy sources can support the
successful transition of energy consumption toward a low-carbon environment. Large-scale …

Software-Defined Vehicular Network (SDVN) is a networking architecture that can provide
centralized control for vehicular networks. However, the design for routing policies in SDVNs …

Due to the complicated and changing urban traffic conditions and the dynamic mobility of
vehicles, the network topology can rapidly change which causes the communication links …

Recently, there is an emerging trend to apply deep reinforcement learning to solve the
vehicle routing problem (VRP), where a learnt policy governs the selection of next node for …

Each group in a data-driven automobile network has its cluster head. A group can
communicate with each other and members of other groups once it has been founded …

Reliable emergency message (EM) transmission in vehicular adhoc networks (VANETs)
necessitates an effective routing scheme. Position-based routing is considered more …

With the increasing market penetration of electric vehicles (EVs), the charging behavior and
driving characteristics of EVs have an increasing impact on the operation of power grids and …

Accidents are inevitable in the transportation systems; however, harnessing the big data
generated from traffic accidents can significantly enhance the intelligence of the …

This paper proposes joint mobile node participation and routing protocol for multi-hop
device-to-device (MD2D) networking in intelligent transportation systems, called fuzzy …