In recent years, various deep learning architectures have been proposed to solve complex
challenges (eg spatial dependency, temporal dependency) in traffic domain, which have …

Intelligent vehicular networks emerge as a promising technology to provide efficient data
communication in transportation systems and smart cities. At the same time, the …

In the recent years, important key factor for urban planning is to analyze the sustainability
and its functionality towards smart cities. Presently, many researchers employ the …

To alleviate the range anxiety fear of electric vehicle (EV) drivers, dynamic wireless charging
(DWC) systems are being developed to supply energy to the EV during its motion, thereby …

Nowadays, vehicles have been increasingly adopted in many spatial crowdsourcing (SC)
applications. Similar to other SC applications, location privacy is of great concern to vehicle …

We are witnessing a rapid growth of electrified vehicles because of the ever-increasing
concerns over urban air quality and energy security. Compared with other electric vehicles …

Our society is witnessing a rapid taxi electrification process. Compared to conventional gas
taxis, a key drawback of electric taxis is their prolonged charging time, which potentially …

Nowadays, a large amount of services are deployed on the edge of the network from the
cloud since processing data at the edge can reduce response time and lower bandwidth …

Nowadays, most of the taxi drivers have become users of the relocation recommendation
service offered by online ride-hailing platforms (eg, Uber and Didi Chuxing), which could …

Limitations such as the driving range, a lack of charging facilities, and the inconvenience of
charging services hamper the further market development of EVs. With the development of …