{"title":"自主运输车辆的无冲突路线规划","authors":"Özge Aslan, A. Yazıcı","doi":"10.1109/SIU49456.2020.9302504","DOIUrl":null,"url":null,"abstract":"This study deals with the problem of conflict-free route planning for multiple autonomous transport vehicles. In this study, an algorithm based on A* algorithm to solve conflict-free routing problems for multiple autonomous transport vehicles, is proposed. While classical A* algorithm plans routes for a single start and end node at the same time, the proposed algorithm plans routes for multiple start and end nodes without conflicts. The proposed algorithm apply waiting or change the route strategies to resolve conflict types. The proposed algorithm has been tested on multiple autonomous transport vehicles having different velocities (heterogeneous). Tests conducted within the scope of the study, show that the proposed algorithm finds effective conflictfree routes.","PeriodicalId":312627,"journal":{"name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Conflict-Free Route Planning For Autonomous Transport Vehicle\",\"authors\":\"Özge Aslan, A. Yazıcı\",\"doi\":\"10.1109/SIU49456.2020.9302504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study deals with the problem of conflict-free route planning for multiple autonomous transport vehicles. In this study, an algorithm based on A* algorithm to solve conflict-free routing problems for multiple autonomous transport vehicles, is proposed. While classical A* algorithm plans routes for a single start and end node at the same time, the proposed algorithm plans routes for multiple start and end nodes without conflicts. The proposed algorithm apply waiting or change the route strategies to resolve conflict types. The proposed algorithm has been tested on multiple autonomous transport vehicles having different velocities (heterogeneous). Tests conducted within the scope of the study, show that the proposed algorithm finds effective conflictfree routes.\",\"PeriodicalId\":312627,\"journal\":{\"name\":\"2020 28th Signal Processing and Communications Applications Conference (SIU)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 28th Signal Processing and Communications Applications Conference (SIU)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU49456.2020.9302504\",\"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 28th Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU49456.2020.9302504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Conflict-Free Route Planning For Autonomous Transport Vehicle
This study deals with the problem of conflict-free route planning for multiple autonomous transport vehicles. In this study, an algorithm based on A* algorithm to solve conflict-free routing problems for multiple autonomous transport vehicles, is proposed. While classical A* algorithm plans routes for a single start and end node at the same time, the proposed algorithm plans routes for multiple start and end nodes without conflicts. The proposed algorithm apply waiting or change the route strategies to resolve conflict types. The proposed algorithm has been tested on multiple autonomous transport vehicles having different velocities (heterogeneous). Tests conducted within the scope of the study, show that the proposed algorithm finds effective conflictfree routes.