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高铁车站行人过闸行为仿真及参数校核
Pedestrian Behavior Simulation Crossing Automatic Ticket Check Machine and Parameters Calibration

DOI: 10.12677/OJTT.2020.92012, PP. 101-109

Keywords: 社会力模型,行人过闸行为,参数校正,行人仿真,假设检验
Social Force Model
, Pedestrian Crossing Auto Gate, Parameter Correction, Pedestrian Simulation, Hypothesis Testing

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Abstract:

面对春运等时期高峰出行量,如何保证旅客在规定时间内检票上车是一个值得研究的问题。检票系统作为车站枢纽内部行人流通过时的瓶颈地带,行人检票的效率直接影响高铁车站的运营效率,也是确定车站规模的重要因素。本文将从微观角度研究行人过闸行为。首先,以社会力模型理论为基础,分别建立携带小件行李乘客、中大件行李乘客以及不同年龄乘客的过闸社会力模型。然后,通过对长沙市高铁南站内乘客自主检票过闸时的行为进行调查统计分析,对模型的重要参数进行校正,再进行过匝行为仿真。最后,对实际和仿真过闸时间数据进行对比分析,验证了乘客过闸社会力模型的有效性。
In the face of peak travel demand during the Spring Festival and other rush periods, how to ensure that passengers check in on train station within the specified time is a problem worth studying. As the bottleneck zone when the pedestrian flow inside the station hub passes, the efficiency of pede-strian ticket checking directly affects the operational efficiency of the high-speed rail station, and which is also an important factor in determining the station scale. This article studies the pede-strian crossing behavior from micro-simulation perspective. First, the social force model of the passengers carrying small luggage passengers, medium and large luggage passengers and passengers of different ages was established. Then, through the statistical analysis of the behavior of the passengers in the Changsha High-speed Railway South Station, the important parameters of the model are calibrated before the behavior of the pedestrian ticket checking is simulated. Finally, the actual and simulated gate time data are compared and analyzed to verify the effectiveness of the passengers’ social force model.

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