Recent advancements in the Internet of Vehicles (IoV) technology have pathed the way for
the use of various smart services for the management of urban traffic, including …

It aims to improve the efficiency of information collection and extraction in the current
intelligent transportation system, and accurately mine the vehicle trajectory data By using …

At present, the explosive growth of data and the mass storage state have brought many
problems such as computational complexity and insufficient computational power to …

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 …

In order to strengthen school security and build a wireless smart campus, this article
optimizes the existing wireless video surveillance system based on the Internet of Things …

Mobility trajectory data is of great significance for mobility pattern study, urban computing,
and city science. Self-driving, traffic prediction, environment estimation, and many other …

Vehicle-to-vehicle interaction and collaboration can provide us with a large number of
mobile traffic trajectories that can be used to analyze driving behavior. In this article, we …

Intelligent transportation systems (ITS) with surveillance cameras capture traffic images or
videos. However, images or videos in ITS often encounter blurs due to various reasons …

The autonomous control and communication are the key technologies for unmanned
earthwork machinery, and vehicle control terminals with compatibility are essential. This …

Network representation learning (NRL) is an effective graph analytics technique and
promotes users to deeply understand the hidden characteristics of graph data. It has been …