RoadEye:动态路况个性化检索系统

Anirban Mondal, Avinash Sharma, Kuldeep Yadav, Abhishek Tripathi, Atul Singh, N. Piratla
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引用次数: 3

摘要

对动态变化的路况的认识对于安全和高质量的驾驶体验以及增强旅行计划至关重要。这项工作解决了让用户以及时和个性化的方式了解预定和临时事件引起的道路状况的问题。我们提出了Road Eye,一个个性化的动态路况检索系统。Road Eye的主要贡献是psi r树,这是一种基于r树的新型索引,增加了链表,便于快速个性化检索用户查询的路况。我们的性能研究表明,psi r树在检索动态路况方面确实有效,同时减少了查询响应时间和磁盘I/ o。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RoadEye: A System for Personalized Retrieval of Dynamic Road Conditions
Awareness of dynamically changing road conditions is crucial for a safe and quality driving experience, as well as, in augmenting trip planning. This work addresses the problem of keeping users informed in a timely and personalized manner about road conditions arising from both scheduled and ad hoc events. We propose Road Eye, a system for personalized retrieval of dynamic road conditions. The key contribution of Road Eye is the psi R-tree, which is a novel R-tree-based index augmented with linked lists for facilitating quick and personalized retrieval of user-queried road conditions. Our performance study indicates that the psi R-tree is indeed effective in retrieving dynamic road conditions with reduced query response times and disk I/Os.
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