A. Sen, S. Adeniye, K. Basu, S. Ravishankar, J. Sefair, D. Roe-Sepowitz, E. Helderop, T. Grubesic, A. B. Sen
{"title":"阻止人口贩运问题:数据驱动的建模和分析方法","authors":"A. Sen, S. Adeniye, K. Basu, S. Ravishankar, J. Sefair, D. Roe-Sepowitz, E. Helderop, T. Grubesic, A. B. Sen","doi":"10.1109/HST56032.2022.10025431","DOIUrl":null,"url":null,"abstract":"Based on the human trafficking incidence data from the Las Vegas Metropolitan Police Department (LVMPD), we have built a model of movement patterns of traffickers within the contiguous US states. We utilized the model for developing interdiction strategies for the law enforcement authorities, with the goal of maximizing interdiction pay-off within the agency budget, where pay-off is measured in terms of the number of trafficking incidences disrupted. In addition, from the U.S. Interstate Highway Map, we have built a U.S. Interstate Network Graph (USING) to test our interdiction pay-off maximization algorithm. This is a realistic approximation of the U.S. highway system and will be made available to researchers engaged in trafficking interdiction research. Finally, we evaluate our techniques on the data from LVMPD on USING and present the results.","PeriodicalId":162426,"journal":{"name":"2022 IEEE International Symposium on Technologies for Homeland Security (HST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Human Trafficking Interdiction Problem: A Data Driven Approach to Modeling and Analysis\",\"authors\":\"A. Sen, S. Adeniye, K. Basu, S. Ravishankar, J. Sefair, D. Roe-Sepowitz, E. Helderop, T. Grubesic, A. B. Sen\",\"doi\":\"10.1109/HST56032.2022.10025431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the human trafficking incidence data from the Las Vegas Metropolitan Police Department (LVMPD), we have built a model of movement patterns of traffickers within the contiguous US states. We utilized the model for developing interdiction strategies for the law enforcement authorities, with the goal of maximizing interdiction pay-off within the agency budget, where pay-off is measured in terms of the number of trafficking incidences disrupted. In addition, from the U.S. Interstate Highway Map, we have built a U.S. Interstate Network Graph (USING) to test our interdiction pay-off maximization algorithm. This is a realistic approximation of the U.S. highway system and will be made available to researchers engaged in trafficking interdiction research. Finally, we evaluate our techniques on the data from LVMPD on USING and present the results.\",\"PeriodicalId\":162426,\"journal\":{\"name\":\"2022 IEEE International Symposium on Technologies for Homeland Security (HST)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Symposium on Technologies for Homeland Security (HST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HST56032.2022.10025431\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Technologies for Homeland Security (HST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HST56032.2022.10025431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Human Trafficking Interdiction Problem: A Data Driven Approach to Modeling and Analysis
Based on the human trafficking incidence data from the Las Vegas Metropolitan Police Department (LVMPD), we have built a model of movement patterns of traffickers within the contiguous US states. We utilized the model for developing interdiction strategies for the law enforcement authorities, with the goal of maximizing interdiction pay-off within the agency budget, where pay-off is measured in terms of the number of trafficking incidences disrupted. In addition, from the U.S. Interstate Highway Map, we have built a U.S. Interstate Network Graph (USING) to test our interdiction pay-off maximization algorithm. This is a realistic approximation of the U.S. highway system and will be made available to researchers engaged in trafficking interdiction research. Finally, we evaluate our techniques on the data from LVMPD on USING and present the results.