Phantom traffic jams may emerge “out of nowhere” from small fluctuations rather than being triggered by large, exceptional events. We show how phantom jams arise in a model of single lane highway traffic, which mimics human driving behavior. Surprisingly, the optimal state of highest efficiency, with the largest throughput, is a critical state with traffic jams of all sizes. We demonstrate that...

The work is devoted to the development of new algorithms describing complex interaction drivers for parallel numerical implementation traffic flow model developed by authors based on cellular automata theory. As known from observations, behaviour largely determines how difficult it will be pass a section with bottleneck (a narrowing, motionless obstacle, etc.) or even without at same values. In...

Most computer vision systems for vehicle guidance developed in the past were designed for the comparatively simple highway scenario. Autonomous driving in the much more complex scenario of urban traffic or driver assistance systems like Intelligent Stop&Go are new challenges not only from the algorithmic but also from the system architecture point of view. This contribution describes our curren...

Inhibitory control, the ability to stop or modify preplanned actions under changing task conditions, is an important component of cognitive functions. Two lines of models of inhibitory control have previously been proposed for human response in the classical stop-signal task, in which subjects must inhibit a default go response upon presentation of an infrequent stop signal: (1) the race model,...

This paper presents a framework of stop-and-go algorithms for the blind equalization of QAM data communication systems. Based on the proposed framework, three new stop-and-go algorithms are presented. It is discussed that each of the existing and proposed stop-and-go algorithm forces the equalizer output to match some statistical contour on QAM constellation space. Using computer simulations, i...

Conjunction analysis methods were used in functional magnetic resonance imaging to investigate brain regions commonly activated in subjects performing different versions of go/no-go and stop tasks, differing in probability of inhibitory signals and/or contrast conditions. Generic brain activation maps highlighted brain regions commonly activated in (a) two different go/no-go task versions, (b) ...

Traffic oscillations such as stop-and-go waves in a traffic system can be caused by reasons such as instabilities. In this paper, we intend to study a type of periodic oscillations caused by network geometry with a microscopic simulation model, Paramics. With careful tuning in Paramics, we successfully simulate such periodic oscillations, in which traffic states change periodically between a di...