This paper proposes a rule-based car-following model to simulate the driver decision process and model the associated vehicle longitudinal action in the car-following regime. In order to analyze individual driver characteristics and extract driving behavior rules, a fuzzy rule based neural network is constructed with the objective of presenting driver action rules under the associated traffic s...

Investigation of Human Machine Interface (HMI) is on the top level of the interest when studying the reliability of the human operators. We do this investigation using a complex measuring system involving a realistic Car Driving Simulators. The first part of this paper gives an overview of requirement on design of such an experimental laboratory equipped with driving simulator. Our research is ...

BACKGROUND Most older drivers continue to drive as they age. To maintain safe and independent transport, mobility is important for all individuals, but especially for older drivers. OBJECTIVE The objective of this study was to investigate whether automatic transmission, compared with manual transmission, may improve the driving behavior of older drivers. METHOD In total, 31 older drivers (m...

AIMS To investigate the relationship between marijuana use prior to driving, habitual marijuana use and car crash injury. DESIGN AND SETTING Population based case-control study in Auckland, New Zealand. PARTICIPANTS Case vehicles were all cars involved in crashes in which at least one occupant was hospitalized or killed anywhere in the Auckland region, and control vehicles were a random sam...

i is the current concentration of the protein i and is a function that keeps of the sum of all protein concentrations equal to 1. and ⇥ are two constants that set up the speed of reaction of the regulatory network. The higher these values, the more sudden the transitions in the GRN. The lower they are, the smoother the transitions are. Whereas the input proteins of a GRN can be used to describe...

This paper describes eyeDriver, a hardware and software setup to drive an autonomous car with eye movement. The movement of the operator’s iris is tracked with an infrared sensitive camera built onto a HED4 interface by SMI. The position of the iris is then propagated by eyeDriver to control the steering wheel of “Spirit of Berlin”, a completely autonomous car developed by the Free University o...

Perception in intelligent systems is closely coupled with action and the actual environment the system is situated in. Embodied robots exploit by means of sensory-motor coordination the environment in simplifying a complex visually guided task, yielding successful robust perceptual behavior. This active vision approach enables robots to sequentially and interactively select and analyze only the...

In this paper we consider the problem of safe driving of the Dubins’ car on a straight road where the steering control is in the form (1−h)s+hv where v represents a free control and s is an automatic control preventing the system from undesired behaviors that may result from the action of v. We design the safety control s steering the car to the center of the road in minimum time which fact imp...

The models introduced in this chapter are derived from assumptions about real driving behavior such as keeping a “safe distance” from the leading vehicle, driving at a desired speed, or preferring accelerations to be within a comfortable range. Additionally, kinematical aspects are taken into account, such as the quadratic relation between braking distance and speed. We introduce two examples: ...

We describe a set of simulations to evolve omnidirectional active vision, an artificial retina scanning over images taken via an omnidirectional camera, being applied to a car driving task. While the retina can immediately access features in any direction, it is asked to select behaviorally-relevant features so as to drive the car on the road. Neural controllers which direct both the retinal mo...