An adaptive fuzzy logic controller is described which assists the driver in vehicle speed and distance control by offering a driving strategy via an active accelerator and brake pedal. In order to be accepted by the driver, the behavior of the system called ACC (Adaptive Cruise Control) has to meet the expectations of the human driver to a certain degree. The Fuzzy-ACC provides separate control...

objective: since the study of driving behavior is of great  importance, we conducted this research to ‎investigate the psychometric properties and the factorial structure of the manchester driver ‎behavior questionnaire (dbq) in iranian drivers.‎ method: this cross – sectional research was performed on a sample of 800 drivers (of category d and ‎c) aged 23- 75 who were referred to imam sajjad c...

Within the past decade, analyzing and modeling human behavior by processing large amounts of collected data has become an active research field in the area of human–machine interaction. The research community is striving to find principled ways to explain and represent important behavioral characteristics of humans, with the goal of developing more efficient and more effective cooperative inter...

Consider the problem of driver behavior recognition from images captured by a camera installed in a vehicle [4]. Recognition of driver behavior is crucial for driver assistance systems that make driving comfortable and safe. One notable requirement for real applicatioins is that we would like to predict and classify a behavior as quickly as possible: if we detect a sign of dangerous movements s...

I n t e l l i g e n t T r a n s p o r t a t i o n S y s t e m s intervention. Many DAS applications are safety oriented, such as lane departure warning systems. Some are comfort oriented, such as automated parking assistants. Still others are designed to alleviate the driver's attentional load—for example, traffic signal detectors or the already deployed intelligent cruise control systems. Thes...

Advanced driver assistance systems (ADAS) can be significantly improved with effective driver action prediction (DAP). Predicting driver actions early and accurately can help mitigate the effects of potentially unsafe driving behaviors and avoid possible accidents. In this paper, we formulate driver action prediction as a timeseries anomaly prediction problem. While the anomaly (driver actions ...

Few previous studies of driver situation awareness (SA) have focused on behavior in hazard negotiation. The objective of this research was to assess the effect of hazard exposure on driver SA and interactions with age and roadway complexity. Ten young (18–25 yrs) and ten older (65–81 yrs) participants drove in a simulator under two levels of environment complexity (simple – rural vs. complex – ...

This paper tries to answer the following question: What type of support should be given to an automobile driver when it is determined, via some method to monitor the driver’s behavior and the traffic environment, that the driver’s intent may not be appropriate to a traffic condition? With a medium fidelity, moving-base driving simulator, three conditions were compared: (a) Warning type support ...

Overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. In this study, two novel prediction models for overtaking behavior are proposed. These models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (MANFIS). They are validated at microscopic level and are able to simulate and predict the fut...