Lorenzo Lorgna, Giulia Ceccarelli, Andrea Gorrini, Michele Ciavotta
{"title":"通过视频分析了解公共场所的行人流动模式：米兰案例","authors":"Lorenzo Lorgna, Giulia Ceccarelli, Andrea Gorrini, Michele Ciavotta","doi":"10.17815/cd.2024.172","DOIUrl":null,"url":null,"abstract":"The main objective of this research was to characterize public spaces through a mobility study on pedestrian patterns analyzed by means of video analytics (i.e., object detection, crowd counting, pedestrian tracking), for the case study of Piazza Duomo (Milan, Italy). The analysis focused on defining different pedestrian profiles through observable behavioural parameters (e.g., density conditions, speeds, trajectories, etc.). The results of the research could support the definition of an evidence-based approach for regeneration projects of urban public spaces.","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":"19 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Video Analytics for Understanding Pedestrian Mobility Patterns in Public Spaces: The Case of Milan\",\"authors\":\"Lorenzo Lorgna, Giulia Ceccarelli, Andrea Gorrini, Michele Ciavotta\",\"doi\":\"10.17815/cd.2024.172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main objective of this research was to characterize public spaces through a mobility study on pedestrian patterns analyzed by means of video analytics (i.e., object detection, crowd counting, pedestrian tracking), for the case study of Piazza Duomo (Milan, Italy). The analysis focused on defining different pedestrian profiles through observable behavioural parameters (e.g., density conditions, speeds, trajectories, etc.). The results of the research could support the definition of an evidence-based approach for regeneration projects of urban public spaces.\",\"PeriodicalId\":93276,\"journal\":{\"name\":\"Collective dynamics\",\"volume\":\"19 8\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Collective dynamics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17815/cd.2024.172\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Collective dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17815/cd.2024.172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Video Analytics for Understanding Pedestrian Mobility Patterns in Public Spaces: The Case of Milan
The main objective of this research was to characterize public spaces through a mobility study on pedestrian patterns analyzed by means of video analytics (i.e., object detection, crowd counting, pedestrian tracking), for the case study of Piazza Duomo (Milan, Italy). The analysis focused on defining different pedestrian profiles through observable behavioural parameters (e.g., density conditions, speeds, trajectories, etc.). The results of the research could support the definition of an evidence-based approach for regeneration projects of urban public spaces.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
