Abstract Automatic Number Plate Recognition (ANPR) technology has been intensively
engaged in managing the smartification and digitalization of cities in recent years as an …

If last decade viewed computational services as a utilitythen surely this decade has
transformed computation into a commodity. Computation is now progressively integrated …

Efficiently predicting traffic congestion benefits various traffic stakeholders, from regular
commuters and logistic operators to urban planners and responsible authorities. This study …

This study empirically investigates the causes of urban traffic congestion to bring into focus
the variety of beliefs that provide support for policy interventions to mitigate traffic congestion …

Traffic prediction is highly significant for intelligent traffic systems and traffic management.
eXtreme Gradient Boosting (XGBoost), a scalable tree lifting algorithm, is proposed and …

Due to the rapid development of vehicular transportation and urbanization, traffic congestion
has been increasing and becomes a serious problem in almost all major cities worldwide …

Drivers and traffic system planners require accurate forecasting of future travel times. To
alleviate traffic congestion on Taiwan's Provincial Highway No. 61, this study considers …

Identifying the root cause of congestion and taking appropriate strategies to improve traffic
network performance are important goals of Advanced Traffic Management Systems …

This paper presents an adaptive signal controller for managing traffic delays and urban bus
service reliability with fully adaptable acyclic timing plans. The signal controller is built upon …

Mixed traffic flows are opening up new areas for research and are seen as key drivers in the
field of data and services that will make roads safer and more environmentally friendly …