To monitor and predict the behaviour of a crowd, it is imperative that the technology used is based on an accurate understanding of crowd psychology. However, most simulations of evacuation scenarios rely on outdated assumptions about the way people behave or only consider the locomotion of pedestrian movement. We present a social model for pedestrian simulation based on self-categorisation pro...

To plan safe trajectories in urban environments, autonomous vehicles must be able to quickly assess the future intentions of dynamic agents. Pedestrians are particularly challenging to model, as their motion patterns are often uncertain and/or unknown a priori. This paper presents a novel changepoint detection and clustering algorithm that, when coupled with offline unsupervised learning of a G...

Agent-based simulations of pedestrian crowd behavior include a large number of agents, each of which typically decides its movement behavior in a time-based manner. Such a time-based approach makes it difficult to exploit the crowd system’s spatial and temporal heterogeneity resulting from agents’ non-uniform movements. This paper presents a discrete event approach for simulating pedestrian cro...

The idea to simulate pedestrian flow by the application of fluid dynamics equations has a certain history in that field. This approach is based on the application of partial differential equations, which makes it a macroscopic method. The need to simulate several different species of pedestrians is a need from the start, which has not been matched very well by numerical simulations of the maros...

Human occupants within indoor environments are not always stationary and their movement will lead to temporal channel variations that strongly affect the quality of indoor wireless communication systems. This paper describes a statistical channel characterization, based on experimental measurements, of human body effects on line-of-sight indoor narrowband propagation at 5.2 GHz. The analysis sh...

Existing pedestrian dynamics models differ in computational effort and their ability to authentically describe human movement behaviour. Hybrid approaches combine different models to speed up simulation time and to improve the results of the simulation. Current hybrid approaches can only combine a specific set of models. It is not possible to independently change the coupled models from the hyb...

In this paper, we propose a new approach for pedestrian dynamics. We call it a Realcoded Cellular Automata (RCA). The scheme is based on the Real-coded Lattice Gas (RLG), which has been developed for fluid simulation. Similar to RLG, the position and velocity can be freely given, independent of grid points. Our strategy including the procedure for updating the position of each pedestrian is exp...

Synthetic mobility models can be used to simulate the movement of a traffic unit or a group of traffic units in a telecommunication network. Characteristics of pedestrian and vehicular traffic, such as speed-flow, speed-density and flow density are often neglected in current synthetic mobility models. The analysis, emulation and simulation of telecommunication networks with mobile users using m...

We present a system to conduct laboratory experiments with thousands of pedestrians. Each participant is equipped with an individual marker to enable us to perform precise tracking and identification. We propose a novel rotation invariant marker design which guarantees a minimal Hamming distance between all used codes. This increases the robustness of pedestrian identification. We present an al...

We describe progress towards visual analysis of pedestrian motion. While trajectories of humans on foot are stochastic in nature, in a constrianed situation underlying patterns of motion can be identified. The work presented in this report focuses on movement of people through scenes which are under visual surveillance. In this case, analysis of continuous video footage provides a history of ma...