Automated and autonomous vehicles are often required to operate in complex road
environments with potential hazards that may lead to hazardous events causing injury or …

In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …

Car telematics is a large and growing business sector aiming to collect mobility-related data
(mainly private and commercial vehicles) and to develop services of various nature both for …

Identifying dangerous events from driving behavior data has become a vital challenge in
intelligent transportation systems. In this study, we compared machine and deep learning …

The driver's behavior plays a crucial role in transportation safety. It is widely acknowledged
that driver vigilance is a major contributor to traffic accidents. However, the quantitative …

The massive and increasing availability of mobility data enables the study and the prediction
of human mobility behavior and activities at various levels. In this paper, we tackle the …

The massive and increasing availability of mobility data enables the study and the prediction
of human mobility behavior and activities at various levels. In this paper, we address the …

Comprehensive risk assessment implementation in an organization is crucial in order to
safeguard valuable organization assets and to minimize information security threats. Thus …

The exponential traffic growth hasn't been well-handled by traditional control systems.
Adaptive controls are necessary at signalized intersections since they foresee traffic demand …

Recently, software project failures have been increasing due to lack of planning and budget
constraints. In this regard, identifying the suitable software model with the consideration of …