Intersections are one of the major locations where safety is a big concern to drivers. Inappropriate driver behaviors in response to frequent changes when approaching intersections often lead to intersection-related crashes or collisions. Thus to better understand driver behaviors at intersections, especially in the dilemma zone, a Hidden Markov Model (HMM) is utilized in this study. With the d...

Control of arthropod-borne diseases based on population replacement with genetically modified non-competent vectors has been proposed as a promising alternative to conventional control strategies. Due to likely fitness costs associated with vectors manipulated to carry anti-pathogen effector genes, the effector genes will need to be coupled with a strong drive system to rapidly sweep them into ...

Modeling human operator’s behavior as a controller in a closed-loop control system recently finds applications in areas such as training of inexperienced operators by expert operator’s model or developing warning systems for drivers by observing the driver model parameter variations. In this research, first, an experimental setup has been developed for collecting data from human operators as th...

A shared lane keeping assistance system supports the driver in the steering task. In contrast to an autonomous system, the shared system works in parallel with the driver by applying an additional torque on the steering wheel. This means the system and the driver perform the steering task in cooperation. As the driver is still part of the control loop a driver model is required to predict the s...

Studies of multitasking while driving have shown that drivers tend to switch attention at subtask boundaries. It is also known that the uncertainty of roadway information plays a significant role in attention switching. Yet, these two approaches have not been modeled together. In this study, we create an attention switching model that accounts for both subtask boundaries and uncertainty, and us...

Vision-based driver assistance in modern cars has to perform automated real-time understanding or modeling of traffic environments based on multiple sensor inputs, using `normal' or specialized (such as night vision) stereo cameras as default input devices. Distance measurement, lane-departure warning, traffic sign recognition, or trajectory calculation are examples of current developments in t...

Please cite this article in press as: C. Tran et a (2011), doi:10.1016/j.cviu.2011.09.008 Understanding driver behavior is an essential component in human-centric Intelligent Driver Assistance Systems. Specifically, driver foot behavior is an important factor in controlling the vehicle, though there have been very few research studies on analyzing foot behavior. While embedded pedal sensors may...

Acceleration models are at the core of operational driving behaviors, and include carfollowing models which capture interactions between a lead and following vehicles. The main assumption in these models is that the behavior of the following vehicle (e.g. change in acceleration) is directly related to a stimulus observed/perceived by the driver, defined relative to the lead vehicle (e.g. differ...