Work

Using UWB for Human Trajectory Extraction

Year: 2013

Type: preprint

Abstract: In this paper we report on a methodology to model pedestrian behaviours whilst aggregate variables are concerned, with potential applications to different situations, such as evacuating a building in emergency events. The approach consists of using UWB (ultra-wide band) based data collection to characterise behaviour in specific scenarios. From a number of experiments carried out, we detail the single-file scenario to demonstrate the ability of this approach to represent macroscopic characteristics of the pedestrian flow. Results are discussed and we can conclude that UWB-based data collection shows great potential and suitability for human trajectory extraction, when compared to other traditional approaches.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1303.4696

Authors: Vasconcelos, Gonçalo, Petry, Marcelo, Almeida, João Emílio, Rossetti, Rosaldo J. F., Coelho, António Leça

Institutions: INESC TEC, Institute of Informatics of the Slovak Academy of Sciences, MD Informatics (United States), National Laboratory for Civil Engineering

Language: English

Topic: Evacuation and Crowd Dynamics

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: green

Funder: Fundação para a Ciência e a Tecnologia