Using a dataset of 2,229 scholarly outputs from the Web of Science on the sharing economy
(SE), our scientometric review provides a taxonomy of the current research on the SE in …

With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …

In this era of the Internet of Everything (IoE), edge computing has emerged as the critical
enabling technology to solve a series of issues caused by an increasing amount of …

The increasing severity of global climate change has made reductions in carbon emissions
an urgent global issue. The relative lack of carbon footprint analyses of urban public …

Traffic flow prediction is an integral part of an intelligent transportation system and thus
fundamental for various traffic-related applications. Buses are an indispensable way of …

Significant research has been carried out in the field of User Behavior Analysis, focused on
understanding, modeling and predicting past, present and future behaviors of users …

Short-term traffic flow forecasting is a fundamental and challenging task due to the stochastic
dynamics of the traffic flow, which is often imbalanced and noisy. This paper presents a …

The rapid development of wireless infrastructure and data acquisition technologies
contributes to the explosive growth of data, especially trajectory data with rich information …

Travel time prediction is the basis for the implementation of advanced traveler information
systems and advanced transport management systems in intelligent transportation systems …

The spatio-temporal prediction task in the transportation network is the core of the solutions
for various traffic problems. On one hand, the mobility pattern in traffic can be reflected in the …