{"title":"基于神经网络的城市交通网络平衡状态识别","authors":"Jing Dong, Jianping Wu","doi":"10.1109/ITSC.2003.1252646","DOIUrl":null,"url":null,"abstract":"This paper defines the concept of equilibriums function and equilibrium status, which exists not only in simple parallel links and paths, but also in traffic networks. Based on detailed mathematical analysis, it is found that link flow under traffic equilibrium condition is a function of OD matrix. Further, the traffic equilibrium status was developed. An example was designed to test the algorithm.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Urban traffic networks equilibrium status recognition with neural network\",\"authors\":\"Jing Dong, Jianping Wu\",\"doi\":\"10.1109/ITSC.2003.1252646\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper defines the concept of equilibriums function and equilibrium status, which exists not only in simple parallel links and paths, but also in traffic networks. Based on detailed mathematical analysis, it is found that link flow under traffic equilibrium condition is a function of OD matrix. Further, the traffic equilibrium status was developed. An example was designed to test the algorithm.\",\"PeriodicalId\":123155,\"journal\":{\"name\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"volume\":\"146 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2003.1252646\",\"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 of the 2003 IEEE International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2003.1252646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Urban traffic networks equilibrium status recognition with neural network
This paper defines the concept of equilibriums function and equilibrium status, which exists not only in simple parallel links and paths, but also in traffic networks. Based on detailed mathematical analysis, it is found that link flow under traffic equilibrium condition is a function of OD matrix. Further, the traffic equilibrium status was developed. An example was designed to test the algorithm.
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