期刊
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
卷 2022, 期 6, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/1742-5468/ac7641
关键词
traffic and crowd dynamics; traffic models
资金
- National Natural Science Foundation of China [71801066, 72188101]
- Outstanding Young Talent Support Program in Universities of Anhui Province [gxyq2020028]
- Key Project of Natural Science Research in Universities of Anhui Province [KJ2020A0491]
- Fundamental Research Funds for the Central Universities of China
This research investigates the movement characteristics of pedestrians on a ramp and proposes a step-based model to simulate their movement. The experimental results show that the average speed uphill and downhill is lower than on flat surfaces, and the critical densities at which the speed begins to decrease are slightly higher on slopes. The proposed model successfully reproduces the pedestrian's walking behavior on the ramp.
Ramps, as very common building structures, are widely used in railway stations, subways, shopping malls and other public places. In order to study the movement characteristics of pedestrians both uphill and downhill, we present a group of single-file movement experiments of pedestrians on a ramp with a 9 degrees slope. It is found that in the free flow state, the average speed uphill and downhill is about 1.1 m s(-1), while the average speed on the flat surface is about 1.4 m s(-1). As the density increases, the critical densities at which the speed of pedestrians begins to decrease going uphill and downhill are both slightly higher than that on the flat surface. We also propose a step-based model considering different step frequencies and step lengths of pedestrians to simulate the movement on the ramp. Compared with the experimental results, it is shown that the model can reproduce the pedestrian's walking behavior on the ramp well.
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