Abstract

The intersecting of pedestrian streams is a common phenomenon which would lead to the pedestrian deceleration, stopping, and even threat to the safety of walking. The organization of pedestrian flow is a critical factor which influences the intersection traffic. The aim of this paper is to study the characteristics of oblique pedestrian streams by a set of pedestrian experiments. Two groups of experiment participants, three volume levels and five intersecting angles were tested. The qualitative analysis and quantitative analysis methods were applied to find out the relationship between the pedestrian streams angle and pedestrian characteristics. The results indicated that the mean and median speed, exit traffic efficiency decreased initially and increased afterwards with the increase of intersecting angles when the volume was 1,000 p/h/m and 3,000 p/h/m, while the speed standard deviation changing inversely. However, these four factors show the opposite variation tendency in volume 5,000 p/h/m. Meanwhile, the quadratic function was selected to fit them. It is found that the worst speeds of pedestrian streams were 131° and 122° in volume 1,000 p/h/m and 3,000 p/h/m, respectively, and the greatest influence on pedestrian streams was 125° in volume 5,000 p/h/m. The results of this research can help establish the foundation for the organization and optimization of intersecting pedestrian streams.

Highlights

  • With the rapid expansion of rail network, the rail transit passenger number has exploded in Beijing

  • The aim of this paper is to study the pedestrian characteristics of oblique pedestrian streams

  • This paper studies the pedestrian characteristics of oblique pedestrian streams from the pedestrian experiments

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Summary

Introduction

With the rapid expansion of rail network, the rail transit passenger number has exploded in Beijing. Intersecting of pedestrian streams is one of the typical flows that contribute to the large crowds. It leads to deceleration and stopping, which undermines the moving efficiency of passengers and the walking service level, and even presents the threat to the safety of walking. A variety of studies were conducted to investigate the self-organization phenomenon in intersecting streams, establish mathematical models which were used to describe the status of pedestrian streams, and to analyze microcosmic characteristics of intersecting pedestrian streams. Research focused on the phenomenon of stripe formation by self-organization in intersection areas with simulation which described a distribution status of the same direction pedestrians [2,3,4,5]. A few intersecting pedestrian stream models had been established to describe the state of motion [6,7,8,9] and analysed speed variation before and after pedestrian intersecting [9,10,11,12]

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