Modeling the severity of accidents based on the most effective variables accounts for
developing a high‐precision model presenting the possibility of occurrence of each category …

Traffic congestion is becoming the issues of the entire globe. This study aims to explore and
review the data mining and machine learning technologies adopted in research and industry …

The purpose of this study is to investigate and determine the factors affecting vehicle and
pedestrian accidents taking place in the busiest suburban highway of Guilan Province …

This paper aims to present an autonomous intelligent system that improves the performance
of conventional manufacturing processes to make them friendly to the environment. This …

Determining the demands for products and services is an issue of interest to the
international scientific community and represents an effective tool to raise the economic …

Traffic accidents are the leading causes beyond death; it is the concern of most countries
that strive for finding radical solutions to this problem. There are several methods used in the …

The traffic problem in Intelligent Transportation Systems has recently become a very
important issue. Thanks to Intelligent Transportation Systems, the formation of large amounts …

Road accidents pose a substantial concern for all individuals. On a daily basis, a substantial
number of precious lives are tragically lost due to vehicular collisions. The research …

In this research, factors affecting the severity of property damage only (PDO) and injury/fatal
accidents were examined using taxi-related accident data from March 2015 to March 2021 …

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