轨迹相似性研究论文结构图
中文提示词
本论文共分为六章。第一章为引言，概述研究背景、意义、贡献与整体结构。第二章回顾基础理论与相关工作，定义关键术语，并讨论三种常见的轨迹相似性度量方法：DTW、EDR 和 ERP。第三章提出 DTSM 算法，旨在克服传统方法的局限性，增强局部子轨迹相似性并支持图索引构建。第四章提出 GTRSS 框架，通过双层图索引与分层搜索优化传统的“过滤-验证”范式。第五章展示实验结果与分析，将所提方法与现有技术进行性能对比。第六章总结全文并展望未来研究方向。
英文提示词
This thesis is structured into six chapters. Chapter 1 provides an introduction, outlining the background, significance, research contributions, and overall structure. Chapter 2 reviews foundational theories and related work, defining key terms and discussing three common trajectory similarity measurement methods: DTW, EDR, and ERP. Chapter 3 introduces the DTSM algorithm, designed to address limitations in traditional approaches by enhancing local sub-trajectory similarity and supporting graph index construction. Chapter 4 proposes the GTRSS framework, which optimizes the conventional 'filter-verify' paradigm through a dual-layer graph index and hierarchical search. Chapter 5 presents experimental results and analysis, comparing the performance of the proposed methods with existing techniques. Chapter 6 summarizes the research and suggests future directions.