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 …

With the rapid increase of wireless application demand, 6G Wireless Systems need to further
support the heterogeneous communication service contents with limited spectrum …

In future smart cities supported by cyber-physical social intelligence, autonomous behavioral
decision for vehicular agents is going to become a general demand. Despite much progress …

Purpose Big data challenges and opportunities on the Internet of Vehicles (IoV) have
emerged as a transformative paradigm to change intelligent transportation systems. With the …

Urban sensing provides a fundamental computing environment for smart cities, in which
ubiquitous vehicular networks are an important component. Due to the limitation of urban …

Enhancing the reliability of high-speed railway traction system is critical important to the
safety of entire trains. Data-driven based FDD (Fault Detection and Diagnosis) schemes …

Based on the characteristics of behavioral patterns, this paper constructs a data-driven
knowledge discovery framework for smart education management. The aim is to realize …

Large bandwidth, Low latency and intensive computing are the main challenge in high-
performance virtual reality (VR) video transmission. As mobile edge computing (MEC) can …

Device to device (D2D) is becoming one of the critic technologies of green smart cities. The
uplink power allocation is investigated, when D2D users reuse subchannels of cellular …

With the advent of the 6G era, addressing the increasing demand for mobile computing has
become crucial. In the next-generation Internet of Vehicles (IoVs), widespread deployment of …