Traffic congestion is a growing problem in urban transportation networks around the world,
having major consequences for the economy and the environment. As metropolitan …

Accurate traffic data imputation aims to fill in missing traffic values with observations as much
as possible, which has long been a challenging task that affects its exploitation and …

Traffic flow forecasting is an essential aspect of intelligent traffic management. It enables
timely and proactive management of modern transport systems, increasing efficiency and …

Intelligent transportation systems need to realize accurate traffic congestion prediction. The
spatio-temporal features of traffic flow are essential to analyze and predict congestion. Our …

Traffic flow prediction is one of the challenges in the development of an Intelligent
Transportation System (ITS). Accurate traffic flow prediction helps to alleviate urban traffic …

This study proposes a novel air pollution exposure index (APEI) metric, drawing from
traditional elements in rhythmanalysis and public-life studies to help understand how people …

Congestion in major cities poses a serious threat to long-term city planning and growth.
There are several factors that contribute to traffic congestion, including construction zones …

This article presents a quantum computing approach to designing of similarity measures and
kernels for classification of stochastic symbolic time series. In the area of machine learning …

In smart mobility, large networks of geographically distributed sensors produce vast amounts
of high-frequency spatio-temporal data that must be processed in real time to avoid major …

Traffic controller hand gesture detection and classification plays a vital role in traffic
management due to the growing vehicles mobility in urban areas. Besides, there is a need …