{"title":"Fix Me Up: Smart Pathways Status Detection","authors":"Massimo Marchiori","doi":"10.1109/ISNCC.2018.8531009","DOIUrl":null,"url":null,"abstract":"Pedestrian pathways are a crucial networking components of our cities, and yet they are somehow seen as subordinate to streets in many areas that are not central. As a result, detection of their actual status, and corresponding maintenance, is often far from optimal. In this work we look for solutions to the problem of pathways status detection, and look for novel solutions that allow us to assess the status of a pedestrian pathway. We develop a system that enables to collect data from the pathways in a very economical and flexible way, and then experiment to see whether the data allow to actually produce a reliable status prediction. The results, tested on the field, show that the obtained system is both convenient to use and precise, paving the way for better ways of handling pedestrian pathways networking within a smarter city environment.","PeriodicalId":313846,"journal":{"name":"2018 International Symposium on Networks, Computers and Communications (ISNCC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Symposium on Networks, Computers and Communications (ISNCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISNCC.2018.8531009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Pedestrian pathways are a crucial networking components of our cities, and yet they are somehow seen as subordinate to streets in many areas that are not central. As a result, detection of their actual status, and corresponding maintenance, is often far from optimal. In this work we look for solutions to the problem of pathways status detection, and look for novel solutions that allow us to assess the status of a pedestrian pathway. We develop a system that enables to collect data from the pathways in a very economical and flexible way, and then experiment to see whether the data allow to actually produce a reliable status prediction. The results, tested on the field, show that the obtained system is both convenient to use and precise, paving the way for better ways of handling pedestrian pathways networking within a smarter city environment.