{"title":"spc -人群路面标度初探","authors":"Tsung-Hsiang Wu, Chih-Wei Yi, Ching-yao Chan, Ya-Lan Chang, C. Tseng, Chun-Fu Chung","doi":"10.1109/APNOMS.2015.7275353","DOIUrl":null,"url":null,"abstract":"In most developed and developing countries, the maintenance of roadway pavement consumes considerable resources and represents a major item in government budget. However, due to the lack of sustainable and systematic approaches to implement long-term road pavement monitoring and assessment, the cost-effectiveness of performing such tasks is often a concern. In this paper, a crowdsourcing framework is proposed as a solution based on a smart probe car (SPC) system that utilizes mobile sensing technologies to collect environmental roadway data. Built upon the probe-vehicle system, the proposed method not only has the potential to save a significant amount of resources but also makes it possible to acquire real-time pavement information in a large scale.","PeriodicalId":269263,"journal":{"name":"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A preliminary study on SPC-crowd pavement indexing\",\"authors\":\"Tsung-Hsiang Wu, Chih-Wei Yi, Ching-yao Chan, Ya-Lan Chang, C. Tseng, Chun-Fu Chung\",\"doi\":\"10.1109/APNOMS.2015.7275353\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In most developed and developing countries, the maintenance of roadway pavement consumes considerable resources and represents a major item in government budget. However, due to the lack of sustainable and systematic approaches to implement long-term road pavement monitoring and assessment, the cost-effectiveness of performing such tasks is often a concern. In this paper, a crowdsourcing framework is proposed as a solution based on a smart probe car (SPC) system that utilizes mobile sensing technologies to collect environmental roadway data. Built upon the probe-vehicle system, the proposed method not only has the potential to save a significant amount of resources but also makes it possible to acquire real-time pavement information in a large scale.\",\"PeriodicalId\":269263,\"journal\":{\"name\":\"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APNOMS.2015.7275353\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APNOMS.2015.7275353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A preliminary study on SPC-crowd pavement indexing
In most developed and developing countries, the maintenance of roadway pavement consumes considerable resources and represents a major item in government budget. However, due to the lack of sustainable and systematic approaches to implement long-term road pavement monitoring and assessment, the cost-effectiveness of performing such tasks is often a concern. In this paper, a crowdsourcing framework is proposed as a solution based on a smart probe car (SPC) system that utilizes mobile sensing technologies to collect environmental roadway data. Built upon the probe-vehicle system, the proposed method not only has the potential to save a significant amount of resources but also makes it possible to acquire real-time pavement information in a large scale.