Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

Public transport has become one of the major transport options, especially when it comes to
reducing motorized individual transport and achieving sustainability while reducing …

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

Accurate detection of traffic accidents as well as condition analysis are essential to
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …

Train driver fatigue and distraction are the main reasons for railway accidents. One of the
new technologies to monitor drivers is by using the EEG signals, which provides vital signs …

As economic and social activities continue to increase, transportation is increasingly
contributing to climate change, air pollution and other environmental damage. The growing …

Mining the emotions in the text related to mental health-care oriented is a challenging
aspect, especially dealing with a long-text sequence of data. The extraction of emotions …

Taxi demand prediction is valuable for the decision-making of online taxi-hailing platforms.
Data-driven deep learning approaches have been widely utilized in this area, and many …

Accurate and real-time taxi demand prediction can help managers pre-allocate taxi
resources in cities, which assists drivers quickly finding passengers and reduce passengers' …

In construction automation, robotic solution is becoming an emerging technology with the
advent of artificial intelligence and advancement in mechatronic systems. In construction …