购物区的智能人流监控系统

2010 2nd International Symposium on Information Engineering and Electronic Commerce Pub Date : 2010-07-23 DOI:10.1109/IEEC.2010.5533215

Jianhu Zheng, Dongliang Yao

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引用次数: 3

摘要

人的行为和绩效研究的先决条件需要创新的方法来收集人的因素数据。人类在行人情况下表现的实验调查数据存在一些本能的缺陷，如明显偏离行人的自然行为。现场行人流量监测系统获取的实时行人动态数据，可以帮助我们通过仪器记录真实的行人情况，分析流速、密度、流量等流量参数。这个项目将帮助我们开发一个行人流量预测和风险管理系统(硬件和软件)，可以应用于许多其他购物区。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Intelligent Pedestrian Flow Monitoring Systems in Shopping Areas

The prerequisites of human behavior and performance research need innovative methods for the collection of human factors data. Data generated from experimental investigations of human performance in pedestrian situations have some instinctive drawbacks such as the obvious deviation from the natural pedestrian behaviors. Real-time pedestrian dynamic data obtained from on-site pedestrian flow monitoring system will help us record the genuine pedestrian situations by instruments and analyze the flow parameters such as velocity, density and flow rate. This project will help us develop a pedestrian flow prediction and risk management system (hardware and software) that may apply to many other shopping districts.

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2010 2nd International Symposium on Information Engineering and Electronic Commerce

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