A method for detecting drivers’ intentions is essential to facilitate operating mode transitions between driver and driver assistance systems. We propose a driver behavior recognition method using Hidden Markov Models (HMMs) to characterize and detect driving maneuvers and place it in the framework of a cognitive model of human behavior. HMM-based steering behavior models for emergency and norm...

The MCA (Motion Cueing Algorithm) for driving simulator takes into account the simulator’s workspace limits and the driver’s motion perception thresholds to reproduce simulated vehicle’s accelerations. For the motion based driving simulators, the most applied MCAs are the classical and the optimal filters. This paper presents a new algorithm, called MPC (Model Predictive Control) explicit algor...

One of the many areas in which artificial intelligence (AI) techniques are used is development systems for recognition vital emotions to control human health and safety. This study biometric sensors a multimodal approach capture signals stressful situations. The great advances technology have allowed portable devices capable monitoring different physiological measures an inexpensive, non-invasi...

In our country, Student transportations’ security and driving accidents statistics for students is one of the major concerns for relevant organizations such as educational organization. In current year, a system, was named Sepand, was formed in city taxi driver ::::::union:::::: by educational organization, NAJA traffic and city taxi driver ::::::union::::::. In this systems’ plan, ...

Driver fatigue is a popular problem which has attracted people’s views. Many research departments are researching driver fatigue detection in order to improve the traffic safety. This paper presented a driver fatigue detection system based on DM3730. The system calculated the inter-image difference between frames captured by near-infrared light irradiation, which included identification of the ...

The goal of this work is the detection and classification of driver activities in an automobile using computer vision. To this end, this paper presents a novel two-step classification algorithm, namely, an unsupervised clustering algorithm for grouping the actions of a driver during a certain period of time, followed by a supervised activity classification algorithm. The main contribution of th...

We show how data collected from a GPS device can be incorporated in motor insurance ratemaking. The calculation of premium rates based upon driver behaviour represents an opportunity for the insurance sector. Our approach is based on count data regression models for frequency, where exposure is driven by the distance travelled and additional parameters that capture characteristics of automobile...