Driver behavior refers to the actions and attitudes of individuals behind the wheel of a
vehicle. Poor driving behavior can have serious consequences, including accidents …

This paper describes a new approach for understanding urban mobility called geospatial
and temporal (GeoST) mapping, which translates telematics (location) data into travel …

Telematics data, primarily collected from on-board vehicle devices (OBDs), has been utilised
in this study to generate a thorough understanding of driving behaviour. The urban case …

Driving style assessment plays an important role in intelligent transportation system (ITS)
applications, such as driving feedback provision and usage-based insurance. Many …

Road crashes continue to be a leading cause of death globally, with most of these crashes
reportedly occurring due to human factors. Traditional road safety assessment utilises …

Being able to predict motor vehicle crashes which are a major public health concern would
greatly improve traffic safety. The prevalence of mobile sensing platforms now allows …

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

Large-scale geolocation telematics data acquired from connected vehicles has the potential
to significantly enhance mobility infrastructures and operational systems within smart cities …

The underlying weaknesses of crash data have led to the shift of traffic safety analysis from
reactive to proactive approaches. Using conflicts/near-crashes as crash surrogates is the …

Advanced driver assistance systems (ADAS) have a substantial impact on traffic accident
prevention through the use of forward collision warnings (FCW). However, since most FCW …