Comprehensive Review and New Analysis Software for Single-file Pedestrian Experiments

Abstract

This paper offers a comprehensive examination of single-file experiments within the field of pedestrian dynamics, providing a thorough review from both theoretical and analytical perspectives. It begins by tracing the historical context of single-file movement studies in pedestrian dynamics. Then, the significance of understanding the fundamental relationships among density, speed, and flow in pedestrian dynamics through the lens of simple single-file systems is explored in depth. Furthermore, we investigate various traffic systems involving human or non-human entities such as ants, mice, bicycles, and cars, and provide insights. We explore the types of experimental setups, data collection methods, and influential factors that affect pedestrian movement. We also define and explain the common concepts concerning single-file movement, particularly in experimental research. Finally, we present a Python tool named ``SingleFileMovementAnalysis'' designed for analyzing single-file experimental data, specifically head trajectories. This tool provides a cohesive approach to preparing and calculating movement metrics like speed, density, and headway. The article aims to stimulate further research and underscore the areas where future researchers can contribute to advancing and enhancing single-file studies.