基于机器人技术的灾害垃圾处理路径规划

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) Pub Date : 2014-12-01 DOI:10.1109/RIISS.2014.7009173

T. Takeda, Y. Mori, N. Kubota, Y. Arai

{"title":"基于机器人技术的灾害垃圾处理路径规划","authors":"T. Takeda, Y. Mori, N. Kubota, Y. Arai","doi":"10.1109/RIISS.2014.7009173","DOIUrl":null,"url":null,"abstract":"This paper describes a transportation management system for disaster wastes to support early recovery from great the effect of earthquakes and other natural disasters. The system consists of a route selection process and a waste allocation process. For the system, the simplification map is made from arterial roads, temporally storage yards and disposal facilities. And, a directed graph with traveling times and transportation distances of adjacent nodes was generated from the simplification map. The route selection process calculates path length between all pairs of nodes by Warshall-Floyd algorithm. The allocation process decides transportation amount for each disposal facility by linear programming method. In the experiment, we confirm our method is able to manage waste transportation by using a map that simulated south Tokyo. Our system selected the shortest route from a disaster waste source to the nearest disposal facility with related to traffic conditions. The system allocated simulated disaster wastes for the facilities in proper quantities.","PeriodicalId":270157,"journal":{"name":"2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A route planning for disaster waste disposal based on robot technology\",\"authors\":\"T. Takeda, Y. Mori, N. Kubota, Y. Arai\",\"doi\":\"10.1109/RIISS.2014.7009173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a transportation management system for disaster wastes to support early recovery from great the effect of earthquakes and other natural disasters. The system consists of a route selection process and a waste allocation process. For the system, the simplification map is made from arterial roads, temporally storage yards and disposal facilities. And, a directed graph with traveling times and transportation distances of adjacent nodes was generated from the simplification map. The route selection process calculates path length between all pairs of nodes by Warshall-Floyd algorithm. The allocation process decides transportation amount for each disposal facility by linear programming method. In the experiment, we confirm our method is able to manage waste transportation by using a map that simulated south Tokyo. Our system selected the shortest route from a disaster waste source to the nearest disposal facility with related to traffic conditions. The system allocated simulated disaster wastes for the facilities in proper quantities.\",\"PeriodicalId\":270157,\"journal\":{\"name\":\"2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RIISS.2014.7009173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIISS.2014.7009173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 13

摘要

本文介绍了一种灾害废物运输管理系统，以支持地震和其他自然灾害的早期恢复。该系统包括路线选择过程和废物分配过程。对于该系统，简化图由主干道、临时堆场和处置设施组成。并从简化图中生成包含相邻节点的行驶时间和运输距离的有向图。路由选择过程采用Warshall-Floyd算法计算所有节点对之间的路径长度。分配过程采用线性规划方法确定各处置设施的运输量。在实验中，我们通过模拟东京南部的地图证实了我们的方法能够管理废物运输。我们的系统根据交通状况选择了从灾难废物来源到最近的处置设施的最短路线。该系统为各设施分配了适量的模拟灾害废物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A route planning for disaster waste disposal based on robot technology

This paper describes a transportation management system for disaster wastes to support early recovery from great the effect of earthquakes and other natural disasters. The system consists of a route selection process and a waste allocation process. For the system, the simplification map is made from arterial roads, temporally storage yards and disposal facilities. And, a directed graph with traveling times and transportation distances of adjacent nodes was generated from the simplification map. The route selection process calculates path length between all pairs of nodes by Warshall-Floyd algorithm. The allocation process decides transportation amount for each disposal facility by linear programming method. In the experiment, we confirm our method is able to manage waste transportation by using a map that simulated south Tokyo. Our system selected the shortest route from a disaster waste source to the nearest disposal facility with related to traffic conditions. The system allocated simulated disaster wastes for the facilities in proper quantities.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS)

自引率

0.00%

发文量