{"title":"交通信息预测改进算法研究","authors":"Dakai Yang, Li Wang, Jian Wang, Cai Baigen","doi":"10.1109/MAPE.2017.8250906","DOIUrl":null,"url":null,"abstract":"Predictions for traffic conditions, especially short-term prediction, is one of the central topics in traffic information simulation and controlling relevant research and practice. However, it is not easy to select the most appropriate traffic prediction method for one particular application. In this paper we select two typical methods in this field, then compared about the advantages and disadvantages. Based on this, we provide an improved algorithm to combine the advantages of these methods. To prove the effects, some real data were adopted for the calculation and simulation which were also shown in this paper.","PeriodicalId":320947,"journal":{"name":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on improved algorithm for traffic information prediction\",\"authors\":\"Dakai Yang, Li Wang, Jian Wang, Cai Baigen\",\"doi\":\"10.1109/MAPE.2017.8250906\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Predictions for traffic conditions, especially short-term prediction, is one of the central topics in traffic information simulation and controlling relevant research and practice. However, it is not easy to select the most appropriate traffic prediction method for one particular application. In this paper we select two typical methods in this field, then compared about the advantages and disadvantages. Based on this, we provide an improved algorithm to combine the advantages of these methods. To prove the effects, some real data were adopted for the calculation and simulation which were also shown in this paper.\",\"PeriodicalId\":320947,\"journal\":{\"name\":\"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MAPE.2017.8250906\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MAPE.2017.8250906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on improved algorithm for traffic information prediction
Predictions for traffic conditions, especially short-term prediction, is one of the central topics in traffic information simulation and controlling relevant research and practice. However, it is not easy to select the most appropriate traffic prediction method for one particular application. In this paper we select two typical methods in this field, then compared about the advantages and disadvantages. Based on this, we provide an improved algorithm to combine the advantages of these methods. To prove the effects, some real data were adopted for the calculation and simulation which were also shown in this paper.