The increasing number of road accidents is a major issue in many countries. Studying
drivers' behaviour is essential to identify the key factors of these accidents. As improving …

Modern vehicles produce big data with a wide variety of formats due to missing open
standards. Thus, abstractions of such data in the form of descriptive labels are desired to …

The main objective of this paper is to provide a study on driver behavior analysis methods.
Firstly we define the classes of applications interested in studying driver behavior which are …

Driving performance evaluations can contribute to fleet management and lead to safer and
more economical driving conditions for manned or driverless fleet vehicles. One approach to …

Research on dangerous driving behavior recognition is beneficial to regulate the driving
behavior of drivers. As the existing algorithms are sensitive to noise, and abnormal data …

The modern‐day influx of vehicular traffic along with rapid expansion of roadways has made
the selection of the best driver based on driving best practices an imperative, thus optimizing …

Nowadays, a large part of African countries, and all over the world, don't cease to make
considerable efforts, especially in recent years to advance and predict possible strategies …

eng: This research implements a model applicable to the InnoBUS Massive database
owned by the Massive Transport operator INTEGRA SA in the Central Western Metropolitan …

The automotive industry has been shifting towards leveraging intelligent software solutions
to ensure safety and ease of use. However, ensuring safety during execution heavily …

Abstract Low and Middle Income Countries (LMICs) account for 90% of road collisions that
occur globally. These collisions account for 17.63 million serious injuries and deaths while …