- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
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| Citation: | HU Zuoan, WEI Yidong, ZENG Tian, MA Yi. A Social Force Model Considering Falls and Injuries of Pedestrian Counterflow on Slopes[J]. Journal of Southwest Jiaotong University, 2023, 58(5): 1100-1109. doi: 10.3969/j.issn.0258-2724.20220296
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When pedestrians move on the slope, their force condition, speed, and mental states are different from those on the flat road, so it is difficult to apply the existing social force model for effective simulation. Therefore, the social force model was improved by considering the movement characteristics of pedestrians on slopes. The improved model calibrated pedestrian speed on slopes based on previous empirical data to a desired value, and the probability calculation method of pedestrian falls under the pushing behavior was proposed. Meanwhile, pedestrian falls, injuries, and impatience were simulated according to their weight, acceleration, body pressure, and waiting time in real time. The simulation results of pedestrian counterflow on slopes show that the increase in slope gradient and initial pedestrian density prolongs the movement time and increases the per capita accident rate of the crowd to 38.0%. Pedestrian impatience contributes to the formation of lane effects but reduces the movement efficiency of the crowd. In the fundamental pedestrian flow diagram, the trend of the flow-density relationship under high slopes is not as obvious as that under a flat road, and the average speed of pedestrians under different slopes is relatively close.
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