Modelling the unidirectional and bidirectional flow of pedestrians based on convolutional neural networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Modelling the unidirectional and bidirectional flow of pedestrians based on convolutional neural networks

Published:2024-10 Issue: Volume:651 Page:130021
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Wang Tao,Zhang Zhichao,Nong Tingting,Tan Jingyu,Lan Wenfei,Zhang Wenke,Lee Eric Wai Ming,Shi Meng

Publisher

Elsevier BV

Reference45 articles.

1. Macroscopic and microscopic movement properties of the fast walking pedestrian flow with single-file experiments;Zeng;Phys. A,2023

2. Exploring crossing times and congestion patterns at scramble intersections in pedestrian dynamics models: A statistical analysis;Stock;Phys. A,2024

3. Effect of S-shaped guardrails on pedestrian crowd flows in bottleneck areas;Chen;Saf. Sci. 159,2023

4. Comparison study in single-file pedestrian flow dynamics: foot motion perspective versus head motion perspective;Zeng;Phys. A,2023

5. Crowd behavior analysis: a review where physics meets biology;Kok;Neurocomputing,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP