F. Cruz, Joseph Bryan G. Ibarra, Kristel Anne D. Jazmin, Jason R. Cirio, Elain Camile B. Buyagao, Steven A. Tobilla
{"title":"Magneto-Resistive Sensor Nodes for Vehicle Traffic Detection","authors":"F. Cruz, Joseph Bryan G. Ibarra, Kristel Anne D. Jazmin, Jason R. Cirio, Elain Camile B. Buyagao, Steven A. Tobilla","doi":"10.1109/HNICEM.2018.8666293","DOIUrl":null,"url":null,"abstract":"This paper presents the use of magneto-resistive sensor for the detection of vehicle traffic. The developed traffic detection system provides an approximation of the number of vehicles per hour in two-lane roads. Based on the quantity of vehicles in the road, traffic status is classified as light, moderate or heavy. A traffic volume of less than 420 vehicles/hour is considered as a light traffic, between 420 and 1200 vehicles/hour as a moderate traffic, and greater than 1201 vehicles/hour as heavy traffic. The traffic detection in this study uses a threshold algorithm with peak counting. Overall, the study shows that magneto-resistive sensor can be used as a tool in determining traffic volume condition with a percent accuracy of 91.67%.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"23 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM.2018.8666293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the use of magneto-resistive sensor for the detection of vehicle traffic. The developed traffic detection system provides an approximation of the number of vehicles per hour in two-lane roads. Based on the quantity of vehicles in the road, traffic status is classified as light, moderate or heavy. A traffic volume of less than 420 vehicles/hour is considered as a light traffic, between 420 and 1200 vehicles/hour as a moderate traffic, and greater than 1201 vehicles/hour as heavy traffic. The traffic detection in this study uses a threshold algorithm with peak counting. Overall, the study shows that magneto-resistive sensor can be used as a tool in determining traffic volume condition with a percent accuracy of 91.67%.