Road traffic prediction plays a vital role in real-time traffic management of an intelligent
transportation system (ITS). Many prediction models achieve fine results. However, most …

With the advent of the data‐driven era, deep learning approaches have been gradually
introduced to short‐term traffic flow prediction, which plays a vital role in the Intelligent …

Accurate prediction of the traffic state can help to address the issue of traffic congestion,
providing guiding advices for people's travel and traffic regulation. In this paper, we propose …

Timely and accurate traffic prediction information is essential for advanced traffic
management system (ATMS) and advanced traveler information system (ATIS). Because of …

Traffic flow prediction is an important part of intelligent transportation. The traffic data to be
processed by it are non-linear, periodic, and random, as a result, the unstable traffic flow …

With the development of mobile networks, one of the main challenges is performing accurate
prediction in order to maximize resource usage, saving energy and improving quality of …

Traffic prediction is an important and yet highly challenging problem due to the complexity
and constantly changing nature of traffic systems. To address the challenges, we propose a …

Short-term traffic flow prediction is important to realize real-time traffic instruction. However,
due to the existing strong nonlinearity and non-stationarity in short-term traffic volume data, it …

Traffic flow forecasting, as an integral part of intelligent transportation systems, plays a
critical part in traffic planning. Previous studies have primarily focused on short-term traffic …

Short-term freeway traffic speed prediction is essential to improving mobility and roadway
safety. It has been a challenging and unresolved issue. Traffic speed prediction can be …