{"title":"基于密度的明尼苏达州高速公路协调匝道计量算法","authors":"N. Geroliminis, A. Srivastava, P. Michalopoulos","doi":"10.1109/ITSC.2010.5625243","DOIUrl":null,"url":null,"abstract":"A new coordinated, traffic-responsive ramp metering algorithm has been designed for Minnesota's freeways based on density measurements, rather than flows. This is motivated in view of recent research indicating that the critical value of density at which capacity is observed is less sensitive and more stable than the value of capacity, thereby resulting in more effective control. The main goals of the algorithm are to delay the onset of the breakdown and to accelerate system recovery when ramp metering is unable due to the violation of maximum allowable ramp waiting time. The effectiveness of the new control strategy is being assessed by comparison with the currently deployed version of the Stratified Zone Algorithm (SZM) through microscopic simulation of a real 12-mile, 17 ramp freeway section. Simulations show an improvement of 3–5% in the overall delays and avoidance of the maximum ramp delay violations.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Coordinated ramp metering algorithm for Minnesota's freeways based on density\",\"authors\":\"N. Geroliminis, A. Srivastava, P. Michalopoulos\",\"doi\":\"10.1109/ITSC.2010.5625243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new coordinated, traffic-responsive ramp metering algorithm has been designed for Minnesota's freeways based on density measurements, rather than flows. This is motivated in view of recent research indicating that the critical value of density at which capacity is observed is less sensitive and more stable than the value of capacity, thereby resulting in more effective control. The main goals of the algorithm are to delay the onset of the breakdown and to accelerate system recovery when ramp metering is unable due to the violation of maximum allowable ramp waiting time. The effectiveness of the new control strategy is being assessed by comparison with the currently deployed version of the Stratified Zone Algorithm (SZM) through microscopic simulation of a real 12-mile, 17 ramp freeway section. Simulations show an improvement of 3–5% in the overall delays and avoidance of the maximum ramp delay violations.\",\"PeriodicalId\":176645,\"journal\":{\"name\":\"13th International IEEE Conference on Intelligent Transportation Systems\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"13th International IEEE Conference on Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2010.5625243\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"13th International IEEE Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2010.5625243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Coordinated ramp metering algorithm for Minnesota's freeways based on density
A new coordinated, traffic-responsive ramp metering algorithm has been designed for Minnesota's freeways based on density measurements, rather than flows. This is motivated in view of recent research indicating that the critical value of density at which capacity is observed is less sensitive and more stable than the value of capacity, thereby resulting in more effective control. The main goals of the algorithm are to delay the onset of the breakdown and to accelerate system recovery when ramp metering is unable due to the violation of maximum allowable ramp waiting time. The effectiveness of the new control strategy is being assessed by comparison with the currently deployed version of the Stratified Zone Algorithm (SZM) through microscopic simulation of a real 12-mile, 17 ramp freeway section. Simulations show an improvement of 3–5% in the overall delays and avoidance of the maximum ramp delay violations.