In recent years, traffic congestion prediction has led to a growing research area, especially
of machine learning of artificial intelligence (AI). With the introduction of big data by …

Despite the promising results of deep learning research, construction industry applications
are still limited. Facility Management (FM) in construction has yet to take full advantage of …

Accurate short-time traffic flow prediction has gained gradually increasing importance for
traffic plan and management with the deployment of intelligent transportation systems (ITSs) …

Abstract Intelligent Transportation Systems (ITS) have attracted an increasing amount of
attention in recent years. Thanks to the fast development of vehicular computing hardware …

Long short-term memory (LSTM) is widely used to process and predict events with time
series, but it is difficult to solve exceedingly long-term dependencies, possibly because the …

Accurate and timely traffic flow information is important for the successful deployment of
intelligent transportation systems. Over the last few years, traffic data have been exploding …

Transportation systems might be heavily affected by factors such as accidents and weather.
Specifically, inclement weather conditions may have a drastic impact on travel time and …

Short-term traffic flow analysis is the core part of the intelligent transportation system, and
also the critical basis for traffic management and control system to guide traffic flow. Real …

Accurate traffic flow prediction is becoming increasingly important for transportation
planning, control, management, and information services of successful. Numerous existing …

Predicting traffic flow on traffic networks is a very challenging task, due to the complicated
and dynamic spatial-temporal dependencies between different nodes on the network. The …