{"title":"空间数据库中的动态团体旅行计划查询","authors":"Farhana Aklam, W. Osborn","doi":"10.1109/CCECE47787.2020.9255682","DOIUrl":null,"url":null,"abstract":"Trip planning queries are considered an integral part of Location Based Services. In this paper, we investigate Sequential Group Trip Planning Queries (SGTPQ). Given a set of starting and destination locations and an ordered sequence of Categories of Interests (COIs) for a group of users, a SGTP query returns the trip route for all users that minimizes the overall travel distance. We propose two approaches: Dynamic Group Trip Planning (DGTP) and Modified Dynamic Group Trip Planning (M-DGTP). The proposed DGTP approach enables users to plan a group trip in a more flexible manner, while the M-DGTP approach optimizes the total travel distance of the group. We compare the results of our proposed strategies with an existing strategy through experimental evaluation.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Group Trip Planning Queries in Spatial Databases\",\"authors\":\"Farhana Aklam, W. Osborn\",\"doi\":\"10.1109/CCECE47787.2020.9255682\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Trip planning queries are considered an integral part of Location Based Services. In this paper, we investigate Sequential Group Trip Planning Queries (SGTPQ). Given a set of starting and destination locations and an ordered sequence of Categories of Interests (COIs) for a group of users, a SGTP query returns the trip route for all users that minimizes the overall travel distance. We propose two approaches: Dynamic Group Trip Planning (DGTP) and Modified Dynamic Group Trip Planning (M-DGTP). The proposed DGTP approach enables users to plan a group trip in a more flexible manner, while the M-DGTP approach optimizes the total travel distance of the group. We compare the results of our proposed strategies with an existing strategy through experimental evaluation.\",\"PeriodicalId\":296506,\"journal\":{\"name\":\"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)\",\"volume\":\"169 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE47787.2020.9255682\",\"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 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE47787.2020.9255682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
旅行计划查询被认为是基于位置的服务的一个组成部分。在本文中，我们研究了顺序群旅行计划查询(SGTPQ)。给定一组用户的一组起始和目的地位置以及兴趣类别(Categories of interest, coi)的有序序列，SGTP查询将返回所有用户的行程路线，从而使总行程距离最小化。本文提出了两种方法:动态组团旅行计划(DGTP)和改进动态组团旅行计划(M-DGTP)。建议的DGTP方法使用户能够以更灵活的方式计划团体旅行，而M-DGTP方法优化了团体的总旅行距离。我们通过实验评估比较了我们提出的策略与现有策略的结果。
Dynamic Group Trip Planning Queries in Spatial Databases
Trip planning queries are considered an integral part of Location Based Services. In this paper, we investigate Sequential Group Trip Planning Queries (SGTPQ). Given a set of starting and destination locations and an ordered sequence of Categories of Interests (COIs) for a group of users, a SGTP query returns the trip route for all users that minimizes the overall travel distance. We propose two approaches: Dynamic Group Trip Planning (DGTP) and Modified Dynamic Group Trip Planning (M-DGTP). The proposed DGTP approach enables users to plan a group trip in a more flexible manner, while the M-DGTP approach optimizes the total travel distance of the group. We compare the results of our proposed strategies with an existing strategy through experimental evaluation.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
