Due to its paramount relevance in transport planning and logistics, road traffic forecasting
has been a subject of active research within the engineering community for more than 40 …

This paper systematically reviews studies that forecast short-term traffic conditions using
spatial dependence between links. We extract and synthesise 130 research papers …

An accurate and reliable traffic flow prediction is of great significance, especially the long-
term traffic flow prediction eg, 24 hours, which can help the traffic decision-makers formulate …

In recent years, complex network theory has become an important approach to the study of
the structure and dynamics of traffic networks. However, because traffic data is difficult to …

Short-term traffic flow forecasting is a key step to achieve the performance of intelligent
transportation system (ITS). Timely and accurate traffic information prediction is also the …

A low power wide area network (LPWAN) is becoming a popular technology since more and
more industrial Internet of things (IoT) applications rely on it. It is able to provide long …

Short-term traffic flow forecasting is a key problem in the area of intelligent transportation
systems (ITS). Timely and accurate traffic state prediction is also the prerequisite of realizing …

One contemporary policy to deal with traffic congestion is the design and implementation of
forecasting methods that allow users to plan ahead of time and decision makers to improve …

Truck drivers adhere to delivery schedules making them more likely to reroute rather than
cancel a trip when faced with inclement weather. While previous studies modeled the direct …

Traffic flow forecasting is an important part of intelligent transportation systems. Accurate
traffic flow forecasting can not only provide travel advice for people, but also improve traffic …