{"title":"基于地球遥感数据的应急区域地面交通组织中交通流强度计算方法","authors":"M. A. Skvaznikov, D. L. Kolygin","doi":"10.33764/2411-1759-2023-28-3-77-91","DOIUrl":null,"url":null,"abstract":"When carrying out emergency recovery work to eliminate the consequences of an emergency, it is necessary to promptly provide information on the state of transport infrastructure facilities, which is possible only when using aerospace survey data. The aim of the study is to increase the efficiency of transportation in the emergency zone using heterogeneous vehicles under the conditions of synchronization of its movement, based on the use of Earth remote sensing data. Data source analysis for traffic flow modeling was carried out. Land transportation typical network graph description is presented. The dependences of the intensity of traffic flows along the edges of the network graph on traffic conditions, infrastructure characteristics and loading and unloading operations, parameters of wheeled, tracked vehicles and railway cars are revealed. It is proposed to use the minimax criterion when calculating the maximum traffic flow intensity along the network graph path and the entire transport network capacity. Based on the analysis of the tasks of monitoring the state of transport infrastructure facilities, the possibility of using Earth remote sensing data to reveal damage and flooding in the emergency zone was assessed. Based on the simulation modeling results of the ground transportation organization in the area of emergency response based on the Earth remote sens-ing data, the applicability of the proposed approach to the traffic flows intensity calculating based on the Earth remote sensing data was confirmed.","PeriodicalId":486194,"journal":{"name":"Vestnik SGUGiT","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An approach to traffic flows intensity calculating in the organization of groundtransportation in the area of emergency response based on the Earth remote sensing data\",\"authors\":\"M. A. Skvaznikov, D. L. Kolygin\",\"doi\":\"10.33764/2411-1759-2023-28-3-77-91\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When carrying out emergency recovery work to eliminate the consequences of an emergency, it is necessary to promptly provide information on the state of transport infrastructure facilities, which is possible only when using aerospace survey data. The aim of the study is to increase the efficiency of transportation in the emergency zone using heterogeneous vehicles under the conditions of synchronization of its movement, based on the use of Earth remote sensing data. Data source analysis for traffic flow modeling was carried out. Land transportation typical network graph description is presented. The dependences of the intensity of traffic flows along the edges of the network graph on traffic conditions, infrastructure characteristics and loading and unloading operations, parameters of wheeled, tracked vehicles and railway cars are revealed. It is proposed to use the minimax criterion when calculating the maximum traffic flow intensity along the network graph path and the entire transport network capacity. Based on the analysis of the tasks of monitoring the state of transport infrastructure facilities, the possibility of using Earth remote sensing data to reveal damage and flooding in the emergency zone was assessed. Based on the simulation modeling results of the ground transportation organization in the area of emergency response based on the Earth remote sens-ing data, the applicability of the proposed approach to the traffic flows intensity calculating based on the Earth remote sensing data was confirmed.\",\"PeriodicalId\":486194,\"journal\":{\"name\":\"Vestnik SGUGiT\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vestnik SGUGiT\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33764/2411-1759-2023-28-3-77-91\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vestnik SGUGiT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33764/2411-1759-2023-28-3-77-91","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An approach to traffic flows intensity calculating in the organization of groundtransportation in the area of emergency response based on the Earth remote sensing data
When carrying out emergency recovery work to eliminate the consequences of an emergency, it is necessary to promptly provide information on the state of transport infrastructure facilities, which is possible only when using aerospace survey data. The aim of the study is to increase the efficiency of transportation in the emergency zone using heterogeneous vehicles under the conditions of synchronization of its movement, based on the use of Earth remote sensing data. Data source analysis for traffic flow modeling was carried out. Land transportation typical network graph description is presented. The dependences of the intensity of traffic flows along the edges of the network graph on traffic conditions, infrastructure characteristics and loading and unloading operations, parameters of wheeled, tracked vehicles and railway cars are revealed. It is proposed to use the minimax criterion when calculating the maximum traffic flow intensity along the network graph path and the entire transport network capacity. Based on the analysis of the tasks of monitoring the state of transport infrastructure facilities, the possibility of using Earth remote sensing data to reveal damage and flooding in the emergency zone was assessed. Based on the simulation modeling results of the ground transportation organization in the area of emergency response based on the Earth remote sens-ing data, the applicability of the proposed approach to the traffic flows intensity calculating based on the Earth remote sensing data was confirmed.