Identifying accident patterns is one of the most vital research foci of driving analysis.
Environmental or safety applications and the growing area of fleet management all benefit …

Artificial Intelligence (AI) has been growing considerably over the last ten years. Machine
Learning (ML) is probably the most popular branch of AI to date. Most systems that use ML …

In-vehicle sensing technology has gained tremendous attention due to its ability to support
major technological developments, such as connected vehicles and self-driving cars. In …

Driving is considered one of the most difficult tasks because the driver is responsible for a
variety of other responsibilities in addition to driving. The primary responsibility of a driver …

Learning from human driver's strategies for undertaking complex traffic scenarios has the
potential to improve decision-making methods for designing ADAS systems, as well as for …

The assessment of driving behavior, vital for ensuring passenger safety and optimizing
resource utilization in transportation systems, faces challenges due to inherent …

Advancement in technology has resulted to a vast amount of spatio-temporal data. When
this data is properly mined it translates to knowledge, which is used for auto-theft detection …

Sažetak Aggressive driving is the main cause of road accidents and it is affected by driving
behavior which endanger not only the driver himself but also the people around. It is very …

Driver's behavior is expressed by the intentional and unintentional actions the driver
performs while driving a motor vehicle. This behavior could be influenced by several factors …

With the increasing availability of data, machine learning (ML) predictive models have
become a popular tool for making informed decisions in various fields. However, choosing …