Unsuccessful overtaking maneuvers on two-lane rural roads are one of the major causes road accidents in 21st century. The complexity this maneuver merits adoption a thorough method for developing proposed assistance system to prevent and consequently reduce high number fatalities associated economic costs. This study aims introduce an intelligent Driver Overtaking Assistance System (DOAS) assis...

The use of wireless technology based on Vehicular Ad hoc Networks (VANETs) for information exchange can influence the drivers’ behavior towards improving driving performance and reducing road accidents. This information can even be more relevant if it is presented as a video stream. In this paper we propose a system that relies on VANET technology and video-streaming technology, the See Trough ...

This paper discusses driving styles while overtaking a vulnerable road user who moves along the shoulder in urban roads. Based on data obtained from an experiment pre-defined conditions (combinations of four main effects: vehicle’s initial speed, lane width road, users’ type, and location shoulder) with immersive simulator, we analyzed different drivers approaching passing objects. It is shown ...

In safety automotive applications the system must me capable of early recognizing the maneuvers performed by the driver and the intention associated with them in order to take preventive measures or trigger warning alarms. This is done by the situation refinement level in the fusion system that processes the data provided by the on-board sensors. By recognizing relationships between entities of...

the lane change maneuver is among the most popular driving behaviors. it is also the basic element of important maneuvers like overtaking maneuver. therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (manfis) are proposed for this behavior. these models are able to simulate and predict the future behavior of a driver...

The lane change maneuver is among the most popular driving behaviors. It is also the basic element of important maneuvers like overtaking maneuver. Therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (MANFIS) are proposed for this behavior. These models are able to simulate and predict the future behavior of a Dri...

Background Early identification and interpretation of traffic maneuvers will become key elements of modern driver assistance systems. Currently, only simple traffic situations can be detected by using a decision tree (DT) procedure in most cases. Even though this approach is straightforward, it still requires an expert to build a different DT for every maneuver. Moreover, for complex driving be...