Urban anomalies may result in loss of life or property if not handled properly. Automatically
alerting anomalies in their early stage or even predicting anomalies before happening is of …

Robust prediction of citywide traffic flows at different time periods plays a crucial role in
intelligent transportation systems. While previous work has made great efforts to model …

Tensor decomposition has been demonstrated to be successful in a wide range of
applications, from neuroscience and wireless communications to social networks. In an …

Traffic anomalies, such as traffic accidents and unexpected crowd gathering, may endanger
public safety if not handled timely. Detecting traffic anomalies in their early stage can benefit …

Road network is the core component of urban transportation, and it is widely useful in
various traffic-related systems and applications. Due to its important role, it is essential to …

Personalized Route Recommendation (PRR) aims to generate user-specific route
suggestions in response to users' route queries. Early studies cast the PRR task as a …

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 …

Simulating the human mobility and generating large-scale trajectories are of great use in
many real-world applications, such as urban planning, epidemic spreading analysis, and …

With the development of location-acquisition technologies, there are a huge number of
mobile trajectories generated and accumulated in a variety of domains. However, due to the …

Since none of the existing systematic reviews of the literature related to smart cities have
focused on smart cities applications using context-aware features, this study aims to provide …