{"title":"基于FASTLANE和多级VT-macro模型的交通流与排放综合控制","authors":"Shuai Liu, B. Schutter, H. Hellendoorn","doi":"10.1109/ECC.2014.6862168","DOIUrl":null,"url":null,"abstract":"The main goal of this paper is to develop a multi-class traffic flow and emission model that is suited for on-line model-based control. Multi-class traffic flow and emission models take into account the heterogeneous nature of traffic networks. In comparison with single-class models, these models are more accurate. Using more accurate model results in better description of the traffic network. However, this also leads to lower a computation speed when the model is used for on-line model-based control. FASTLANE is a first-order multi-class traffic flow model that is faster than second-order models (such as METANET). However, FASTLANE does not yet describe emission and fuel consumption. Therefore, we propose to integrate FASTLANE with the VT-macro emission model. This results in a combined FASTLANE and multi-class VT-macro model that describes multi-class traffic flows and emissions and that yields a balanced trade-off between the accuracy and the computation speed. On-line model predictive control is used to obtain a balanced optimization of the total time spent and the total emissions. A case study is implemented to validate the efficiency of the new integrated FASTLANE and multi-class VT-macro model. The simulation results indicate that considering the heterogeneous nature of multi-class traffic leads to a better control performance than single-class models.","PeriodicalId":251538,"journal":{"name":"2014 European Control Conference (ECC)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Integrated traffic flow and emission control based on FASTLANE and the multi-class VT-macro model\",\"authors\":\"Shuai Liu, B. Schutter, H. Hellendoorn\",\"doi\":\"10.1109/ECC.2014.6862168\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main goal of this paper is to develop a multi-class traffic flow and emission model that is suited for on-line model-based control. Multi-class traffic flow and emission models take into account the heterogeneous nature of traffic networks. In comparison with single-class models, these models are more accurate. Using more accurate model results in better description of the traffic network. However, this also leads to lower a computation speed when the model is used for on-line model-based control. FASTLANE is a first-order multi-class traffic flow model that is faster than second-order models (such as METANET). However, FASTLANE does not yet describe emission and fuel consumption. Therefore, we propose to integrate FASTLANE with the VT-macro emission model. This results in a combined FASTLANE and multi-class VT-macro model that describes multi-class traffic flows and emissions and that yields a balanced trade-off between the accuracy and the computation speed. On-line model predictive control is used to obtain a balanced optimization of the total time spent and the total emissions. A case study is implemented to validate the efficiency of the new integrated FASTLANE and multi-class VT-macro model. The simulation results indicate that considering the heterogeneous nature of multi-class traffic leads to a better control performance than single-class models.\",\"PeriodicalId\":251538,\"journal\":{\"name\":\"2014 European Control Conference (ECC)\",\"volume\":\"115 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECC.2014.6862168\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECC.2014.6862168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrated traffic flow and emission control based on FASTLANE and the multi-class VT-macro model
The main goal of this paper is to develop a multi-class traffic flow and emission model that is suited for on-line model-based control. Multi-class traffic flow and emission models take into account the heterogeneous nature of traffic networks. In comparison with single-class models, these models are more accurate. Using more accurate model results in better description of the traffic network. However, this also leads to lower a computation speed when the model is used for on-line model-based control. FASTLANE is a first-order multi-class traffic flow model that is faster than second-order models (such as METANET). However, FASTLANE does not yet describe emission and fuel consumption. Therefore, we propose to integrate FASTLANE with the VT-macro emission model. This results in a combined FASTLANE and multi-class VT-macro model that describes multi-class traffic flows and emissions and that yields a balanced trade-off between the accuracy and the computation speed. On-line model predictive control is used to obtain a balanced optimization of the total time spent and the total emissions. A case study is implemented to validate the efficiency of the new integrated FASTLANE and multi-class VT-macro model. The simulation results indicate that considering the heterogeneous nature of multi-class traffic leads to a better control performance than single-class models.