The deployment of vehicle location services generates increasingly massive vehicle
trajectory data, which incurs high storage and transmission costs. A range of studies target …

Road traffic networks are rapidly growing in size with increasing complexities. To simplify
their analysis in order to maintain smooth traffic, a large urban road network can be …

The urban road networks undergo frequent traffic congestions during the peak hours and
around the city center. Capturing the spatiotemporal evolution of the congestion scenario in …

Large-scale planned special events in cities including concerts, football games and fairs can
significantly impact urban mobility. The lack of reliable models for understanding and …

Urban traffic management is increasingly critical in the future to ensure the livability,
efficiency, and sustainability of the city. Urban road network partition is a fundamental step in …

Deep neural networks are being increasingly used for short-term traffic flow prediction,
which can be generally categorized as convolutional (CNNs) or graph neural networks …

With the increasing availability of mobility-related data, such as GPS-traces, Web queries
and climate conditions, there is a growing demand to utilize this data to better understand …

The operational phase of public private partnership (PPP) projects in Nigeria has
consistently witnessed serious challenges. Researches by various authors suggest that the …

Traffic congestion has become a global concern due to continuous increase in traffic
demand and limited road capacity. The ability to predict traffic congestion propagation …

Urban social media mining is the process of discovering urban patterns from spatio‐
temporal social media datasets. Urban social clusters are the clusters formed by the social …