Cross-domain simulation method and device for large-scale pedestrian motion in hub

Abstract

The invention discloses a cross-domain simulation method and a cross-domain simulation device for large-scale pedestrian motion in a hub. A cross-domain granular discrete element method is introduced into pedestrian simulation, so that the input magnitude and the calculation efficiency are improved on the basis of keeping the simulation precision, and simulation of the large-scale pedestrian motion in the traffic hub is realized. The method comprises the following steps: S1, acquiring physical property data of pedestrians to be simulated, and constructing a pedestrian model of the pedestrians to be simulated based on the granular discrete element method; S2, acquiring geometric property data of a channel to be simulated, and constructing a channel model of the channel to be simulated; S3, constructing a stress model of pedestrian granules based on a social force model and a contact model of the granular discrete element method; and S4, putting the pedestrian model into the channel model, updating motion states of the pedestrian granules of the pedestrian model in real time by adopting the stress model, and performing pedestrian simulation on the pedestrians to be simulated.

Description

technical field [0001] The invention relates to the technical field of pedestrian simulation, in particular to a method and device for cross-domain simulation of large-scale pedestrian movement in a hub. Background technique [0002] With the increase in demand for large-scale transportation hubs, large-scale passenger flows in and out of the station will be congested at some bottlenecks during peak traffic hours or when emergencies occur. Therefore, simulation software is used to simulate pedestrian flow movements to find pedestrian flow patterns. In order to find the dangerous area in the hub when the large-scale pedestrian flow is moving. [0003] For the simulation model, it is usually divided into macroscopic model, mesoscopic model and microscopic model. In the macroscopic model, the state characteristics of the pedestrian flow are described by the flow, average speed, and density relationship. This model mainly focuses on the group's travel decision-making and Path s...

AI Technical Summary

Problems solved by technology

[0004] For large-scale pedestrian simulation, the pedestrian macro and mesoscopic simulation models will simplify or even ignore the interaction between individual pedestrians to improve computing efficiency, and can only describe pedestrian movement from the flow, speed and density, and the obtained data is difficult to describe The influence of different scenes and infrastructure on pedestrian behavior, the detailed description of the elements and characteristics of pedestrian movement is relatively rough, which cannot represent the complex traffic behavior of individual pedestrians; and the detailed simulation of pedestrian movement process usually requires the use of micro-pedestrian Simulation software, but microscopic simulation software has low calculation efficiency for large-scale data input, and the simulation time is long or cannot be simulated. Therefore, the traditional simulation model cannot truly reflect the large-scale pedestrian movement in the transportation hub.

Images