A traffic network can be viewed as a geometric graph with the nodes representing traffic
infrastructures and the edges standing for the links between these nodes. In order to reduce …

With the development of complex networks in urban rail transit (URT), the topological
structure changes accordingly and node importance also redistributes dynamically …

Blockchain technology and, in particular, blockchain-based transaction offers us information
that has never been seen before in the financial world. In contrast to fiat currencies …

The rise of connected vehicles and intelligent transportation lead to the emergence of novel
complex risks. Of particular concern is the potential for large-scale attacks to disrupt road …

With the ability to acquire and process large-scale traffic big data, a cooperative intelligent
transport system can be realized. Identifying important nodes in a traffic network contributes …

Road networks are the backbones of urban communities and can be vulnerable to many
disruptions caused by natural hazards, crashes, and rush hours, etc. Numerous efforts have …

A comprehensive understanding of the relationship between public transportation supply
and demand is crucial for the construction and sustainable development of urban …

A method for citywide traffic analysis is introduced based on the combination of visual and
analytical approaches. Large volumes of GPS data collected from urban vehicles are …

The congestion propagation pattern in urban traffic networks has long been viewed as a
complex question. Inspired by the fact that virus spread patterns are similar to traffic …

Driving safety analysis has recently experienced unprecedented improvements thanks to
technological advances in precise positioning sensors, artificial intelligence (AI)-based …