交通运输工程与信息学报2026，Vol.24Issue(1)：38-49,12.DOI:10.19961/j.cnki.1672-4747.2025.06.037
路网约束下基于动态速度模拟的个体轨迹重构
Road-network-constrained individual trajectory reconstruction via dynamic velocity modeling
摘要
Abstract
[Background]The rapid advancement in the Internet of Things(IoT)and smart-device technologies has enabled the monitoring of individual mobility trajectories.However,inherent posi-tioning errors in GPS and other location-tracking devices often result in recorded points that deviate from their true locations,particularly in dense urban road networks,making it challenging to accu-rately reconstruct actual travel paths.[Objective]This study proposes an individual-level trajectory-reconstruction method based on dynamic velocity simulation and map matching to continuously map discrete global positioning system(GPS)trajectories in urban road networks.The goal is to generate long-term high-precision continuous-movement trajectories of vehicles or individuals that adhere to road-network constraints.[Method]The proposed method integrates shortest-path search,dynamic velocity modeling,and time-driven interpolation,thereby establishing a four-stage reconstruction mechanism comprising spatial mapping,path planning,stochastic speed sampling,and temporal in-terpolation.[Data]Using mobile signaling data from 50 000 users in Shanghai,coupled with road-network topology data,the algorithm successfully generated highly refined trajectories that adhered to road-network constraints.[Conclusion]Compared with the three mainstream methods,(HMM-Re-construct,Map-Matching Plus and GAT-Traj),the proposed approach reduced the average trajectory error by 33.3％,21.1％,and 12.5％,respectively,demonstrating superior precision in trajectory recon-struction.The reconstructed trajectories accurately captured spatiotemporal traffic patterns,including rush-hour flow dynamics and polycentric mobility radiation.A cross-city validation(Beijing and Xia-men)confirmed the transferability of this approach,demonstrating its potential for traffic-flow pre-diction,OD analysis,and smart-city applications.关键词
城市交通/轨迹重构/动态模拟/路网匹配/交通分析Key words
urban traffic/trajectory reconstruction/dynamic simulation/map matching/transporta-tion analytics分类
交通工程引用本文复制引用
姚尧,蒋应红,邹国建,李晔..路网约束下基于动态速度模拟的个体轨迹重构[J].交通运输工程与信息学报,2026,24(1):38-49,12.基金项目
国家重点研发计划项目(2022YFC3801505) （2022YFC3801505）
上海市超级博士后项目(2023045) （2023045）
国家重点研发计划项目(2018YFB1601301) （2018YFB1601301）
国家自然科学基金项目(71961137006) （71961137006）
