{"title":"高速铁路网容量利用优化研究","authors":"Weilong Chen, Q. Luo, Wei Li, Lei Gong","doi":"10.1109/ICITE50838.2020.9231332","DOIUrl":null,"url":null,"abstract":"Geographically rebalancing the capacity utilization of high-speed railway network is an effective method to reduce the idleness of network transportation capacity and optimize the railway operation organization. A mode, i.e. “originating from stations outside downtown before a temporary stop at stations in the city center” is proposed in this paper, with an intention to make full use of capacity of the high-speed railway stations and lines. Besides the target regarding the capacity, another target related to maximizing the flow of high-speed rail passengers in the whole city is also used in the optimization model, intending to make the high-speed rail service convenient to the passengers in the whole city. Lpsolve in c # is used to solve the optimization problem. The proposed mode and its corresponding optimization model as well as the way of solving it is finally validated by the data from Shenzhen, China. The results show that the optimization problem can achieve its optimized train operation plan within 10s under the proposed mode, in which 80% of the capacity of stations and lines in Shenzhen can be utilized in a geographically balanced way. The proposed organization mode and model for checking its superior effects can function as a decision support for the expansion of terminal stations and lines.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of Capacity Utilization of High-Speed Railway Network\",\"authors\":\"Weilong Chen, Q. Luo, Wei Li, Lei Gong\",\"doi\":\"10.1109/ICITE50838.2020.9231332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Geographically rebalancing the capacity utilization of high-speed railway network is an effective method to reduce the idleness of network transportation capacity and optimize the railway operation organization. A mode, i.e. “originating from stations outside downtown before a temporary stop at stations in the city center” is proposed in this paper, with an intention to make full use of capacity of the high-speed railway stations and lines. Besides the target regarding the capacity, another target related to maximizing the flow of high-speed rail passengers in the whole city is also used in the optimization model, intending to make the high-speed rail service convenient to the passengers in the whole city. Lpsolve in c # is used to solve the optimization problem. The proposed mode and its corresponding optimization model as well as the way of solving it is finally validated by the data from Shenzhen, China. The results show that the optimization problem can achieve its optimized train operation plan within 10s under the proposed mode, in which 80% of the capacity of stations and lines in Shenzhen can be utilized in a geographically balanced way. The proposed organization mode and model for checking its superior effects can function as a decision support for the expansion of terminal stations and lines.\",\"PeriodicalId\":112371,\"journal\":{\"name\":\"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITE50838.2020.9231332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITE50838.2020.9231332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of Capacity Utilization of High-Speed Railway Network
Geographically rebalancing the capacity utilization of high-speed railway network is an effective method to reduce the idleness of network transportation capacity and optimize the railway operation organization. A mode, i.e. “originating from stations outside downtown before a temporary stop at stations in the city center” is proposed in this paper, with an intention to make full use of capacity of the high-speed railway stations and lines. Besides the target regarding the capacity, another target related to maximizing the flow of high-speed rail passengers in the whole city is also used in the optimization model, intending to make the high-speed rail service convenient to the passengers in the whole city. Lpsolve in c # is used to solve the optimization problem. The proposed mode and its corresponding optimization model as well as the way of solving it is finally validated by the data from Shenzhen, China. The results show that the optimization problem can achieve its optimized train operation plan within 10s under the proposed mode, in which 80% of the capacity of stations and lines in Shenzhen can be utilized in a geographically balanced way. The proposed organization mode and model for checking its superior effects can function as a decision support for the expansion of terminal stations and lines.