Anomalous data is called to a data sample or a sequence of data that significantly differs
from the others. Accurately and on-time detection of anomalies (abnormalities) is crucial for …

Edge computing is one of the key features of the 5G technology-scape that is realizing new
and enhanced automotive use cases for improving road safety and emergency response …

The main objective of this research is to compare different methods for short-term forecasting
of urban traffic parameters, as well as simulation of traffic parameters in the MATLAB …

Accurate time series prediction techniques are becoming fundamental to modern decision
support systems. As massive data processing develops in its practicality, machine learning …

Relevance. The study is a fundamentally new approach to such an extremely important
problem as the congestions in large cities. The solution of this global problem is a step in the …

Due to the complex and changeable road traffic environment, the actual traffic flow
prediction is characterized by strong nonlinearity, time variability, and randomness. Based …

Анотація Проведено оцінку сучасних тенденцій розвитку інтелектуальних систем
управління дорожнім рухом та їхня ролі у забезпеченні ефективності функціонування …

Les systèmes de transport intelligents sont au cœur des recherches multidisciplinaires
visant à améliorer la sécurité et l'efficacité de la mobilité. Les systèmes d'aide à la conduite …

Traffic volume forecasting is important to dynamically adjust traffic conditions for operations
of intelligent transportation systems. To deal with this, this paper employed support vector …