With the implementation of the freeway free policy during the holidays, traffic congestion in
the freeway becomes a common phenomenon. In order to alleviate traffic pressure, traffic …

Moving vehicles interact with IoT devices deployed in cities and establish social
relationships to provide proactive and intelligent services for smart cities. For example, big …

Traffic management in a city has become a major problem due to the increasing number of
vehicles on roads. Intelligent Transportation System (ITS) can help the city traffic managers …

Developing a new leading edge IA-32 micro-processor is an immensely complicated
undertaking. In the case of the Pentium© 4 processor, the microarchitecture is significantly …

Accurate short-term traffic flow prediction plays an indispensable role for solving traffic
congestion. However, the structure of traffic data is nonlinear and complicated. It is a …

While exploring human mobility can benefit many applications such as smart transportation,
city planning, and urban economics, there are two key questions that need to be …

Aiming at the traffic flow prediction problem of the traffic network, this paper proposes a
multistep traffic flow prediction model based on attention‐based spatial‐temporal‐graph …

Traffic flow prediction (TFP) has attracted increasing attention with the development of smart
city. In the past few years, neural network-based methods have shown impressive …

Timely and accurate large-scale traffic prediction has gained increasing importance for traffic
management. However, it is a challenging task due to the high nonlinearity of traffic flow and …

The traffic volume of each movement at signalized intersections can provide valuable
information on real-time traffic conditions that enable traffic control systems to dynamically …