{"title":"基于小波分析的交通流量短期预测研究","authors":"G. He, Shoufeng Ma","doi":"10.1109/ITSC.2002.1041309","DOIUrl":null,"url":null,"abstract":"An approach based on wavelet decomposition and reconstruction is put forward, this approach can be used to predict traffic volume effectively. The determination of the parameters is discussed and simulation results are given.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"183 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"A study on the short-term prediction of traffic volume based on wavelet analysis\",\"authors\":\"G. He, Shoufeng Ma\",\"doi\":\"10.1109/ITSC.2002.1041309\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An approach based on wavelet decomposition and reconstruction is put forward, this approach can be used to predict traffic volume effectively. The determination of the parameters is discussed and simulation results are given.\",\"PeriodicalId\":365722,\"journal\":{\"name\":\"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems\",\"volume\":\"183 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2002.1041309\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2002.1041309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on the short-term prediction of traffic volume based on wavelet analysis
An approach based on wavelet decomposition and reconstruction is put forward, this approach can be used to predict traffic volume effectively. The determination of the parameters is discussed and simulation results are given.