S. Mak, W. F. Tang, C. H. Li, W. H. Chiu, H. Chan, C. C. Lee
{"title":"The Development of Smart Traffic Analysis System","authors":"S. Mak, W. F. Tang, C. H. Li, W. H. Chiu, H. Chan, C. C. Lee","doi":"10.1109/ISPCE-CN48734.2019.8958620","DOIUrl":null,"url":null,"abstract":"Traffic density on roads directly affects the arrival time of emergency services. Effective monitoring of traffic flow and shortly time of traffic control will help facilitate the arrival time of emergency services. In this paper, some traffic monitoring measurements systems are included. Vehicle tracking algorithms are one of the systems that can provide traffic data, and the system can be configured to project visual images for analysis. Congested transportation is a key issue in Hong Kong. Being able to collect traffic density data for analysis can provide effective and substantive data for sustainable development. To provide unobstructed traffic, thereby reducing lane density and reducing obstruction to emergency services. There are video processing methods to understand traffic conditions. These systems can only capture different traffic conditions to evaluate traffic details. But it cannot control traffic conditions.","PeriodicalId":221535,"journal":{"name":"2019 IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPCE-CN48734.2019.8958620","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
Traffic density on roads directly affects the arrival time of emergency services. Effective monitoring of traffic flow and shortly time of traffic control will help facilitate the arrival time of emergency services. In this paper, some traffic monitoring measurements systems are included. Vehicle tracking algorithms are one of the systems that can provide traffic data, and the system can be configured to project visual images for analysis. Congested transportation is a key issue in Hong Kong. Being able to collect traffic density data for analysis can provide effective and substantive data for sustainable development. To provide unobstructed traffic, thereby reducing lane density and reducing obstruction to emergency services. There are video processing methods to understand traffic conditions. These systems can only capture different traffic conditions to evaluate traffic details. But it cannot control traffic conditions.