Naive Bayesian classification algorithm is widely used in big data analysis and other fields
because of its simple and fast algorithm structure. Aiming at the shortcomings of the naive …

Network congestion-related studies consist mainly of two parts: congestion detection and
congestion control. Several researchers have proposed different mechanisms to control …

Dynamic nature of Vehicular Ad-hoc Networks (VANETs) and Wireless Sensor Networks
(WSN) makes them hard to deal accordingly. For such dynamicity, Machine learning (ML) …

Vehicular ad-hoc networks have been emerging as an inevitable research topic in recent
years due to its applications in Intelligent Transportation System. Establishing end-to-end …

The emerging application of machine learning (ML) in different areas and the good results
obtained have motivated its inclusion in the intelligent transport system (ITS) with smart cities …

VANET routing is a serious concern due to some of the limitations in terms of routing costs.
More research has already worked on VANET routing strategies for enhancing the …

Vehicular ad hoc networks (VANETs) are a subset of mobile ad hoc networks (MANETs) that
can be used to communicate in intelligent transportation systems. In VANETs, each node in …

Abstract Vehicular Ad hoc Networks (VANETs) become increasingly popular in academia
and manufacturing businesses. The VANETs domain attracts massive attention from various …

The increase of congestion in the urban environment has become a major problem. The
traditional traffic control methods with poor administration of human resources do not …

Simulating urban mobility scenarios is a useful tool for researchers in multiple fields like
Urban Planning, Traffic Optimization, CO ^2 Emissions Analysis, Performance Evaluation of …