{"title":"基于时间序列分析的公交流量预测","authors":"Haolong Pei, Liang Chen, Zhihui Zhang, Junhao Lu, Shuanglin Shu, Xinyu Liang","doi":"10.1145/3448734.3450803","DOIUrl":null,"url":null,"abstract":"In today’s rapid urban development, traffic problems have become a major challenge for city management. A good bus operation system can greatly alleviate this problem and improve people’s happiness and satisfaction. It is of great research significance to find out how to control the bus operation and make it have a better departure plan in each time period. In this paper, the time series analysis is used to analyze the trend of passenger flow at each time of the day to obtain a specific model and to predict the future passenger flow data. This paper studies and solves the problem of predicting bus passenger flow for bus scheduling, and provides a reference for bus operation scheme.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bus traffic prediction based on time series analysis\",\"authors\":\"Haolong Pei, Liang Chen, Zhihui Zhang, Junhao Lu, Shuanglin Shu, Xinyu Liang\",\"doi\":\"10.1145/3448734.3450803\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In today’s rapid urban development, traffic problems have become a major challenge for city management. A good bus operation system can greatly alleviate this problem and improve people’s happiness and satisfaction. It is of great research significance to find out how to control the bus operation and make it have a better departure plan in each time period. In this paper, the time series analysis is used to analyze the trend of passenger flow at each time of the day to obtain a specific model and to predict the future passenger flow data. This paper studies and solves the problem of predicting bus passenger flow for bus scheduling, and provides a reference for bus operation scheme.\",\"PeriodicalId\":105999,\"journal\":{\"name\":\"The 2nd International Conference on Computing and Data Science\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2nd International Conference on Computing and Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3448734.3450803\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd International Conference on Computing and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3448734.3450803","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bus traffic prediction based on time series analysis
In today’s rapid urban development, traffic problems have become a major challenge for city management. A good bus operation system can greatly alleviate this problem and improve people’s happiness and satisfaction. It is of great research significance to find out how to control the bus operation and make it have a better departure plan in each time period. In this paper, the time series analysis is used to analyze the trend of passenger flow at each time of the day to obtain a specific model and to predict the future passenger flow data. This paper studies and solves the problem of predicting bus passenger flow for bus scheduling, and provides a reference for bus operation scheme.