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Estimating the most likely space–time paths, dwell times and path uncertainties from vehicle trajectory data: A time geographic method

机译：估计车辆轨迹数据中最有可能的时空路径，停留时间和路径不确定性：时间的地理方法

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Jinjin Tang; Ying Song; Harvey J. Miller; Xuesong Zhou;
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年度 2016
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1. Estimating the most likely space-time paths, dwell times and path uncertainties from vehicle trajectory data: A time geographic method [J] . Tang Jinjin, Song Ying, Miller Harvey J., Transportation research . 2016,第May期

机译：从车辆轨迹数据估算最可能的时空路径，停留时间和路径不确定性：时间地理方法
2. Measures of activity-based pedestrian exposure to the risk of vehicle-pedestrian collisions: Space-time path vs. potential path tree methods [J] . Shenjun Yao, Becky P.Y. Loo, Winnie W.Y. Lam Accident Analysis & Prevention . 2015,第feba期

机译：基于活动的行人遭受车辆与行人碰撞的风险的度量：时空路径与潜在路径树方法
3. COLREGS-compliant path planning considering time-varying trajectory uncertainty of autonomous surface vehicle [J] . Park Jeonghong, Choi Jinwoo, Choi Hyun-Taek Electronics Letters . 2019,第4期

机译：考虑自主地面车辆时变轨迹不确定性的符合COLREGS的路径规划
4. Estimating Path Travel Time by Aggregating Link Travel Times Obtained through Dedicated Short Range Communication Probe Data [C] . Sangwoo Shim, Kangwon Shin, Keechoo Choi, 18th world congress on intelligent transport systems, 2011 ITS America's annual meeting and exposition. . 2011

机译：通过汇总通过专用短距离通信探测数据获得的链路传播时间来估算路径传播时间
5. Generating synthetic space-time paths using a cloning algorithm on activity behavior data. [D] . Sobek, Adam Douglas. 2008

机译：使用针对活动行为数据的克隆算法生成合成时空路径。
6. Is the current pertussis incidence only the results of testing? A spatial and space-time analysis of pertussis surveillance data using cluster detection methods and geographically weighted regression modelling [O] . Boris Kauhl, Jeanne Heil, Christian J. P. A. Hoebe, 2012

机译：当前的百日咳发病率仅仅是检测结果吗？使用聚类检测方法和地理加权回归模型对百日咳监测数据进行时空分析
7. A successive substitution method for the evaluation of trajectories approximating the parcel path by a linear function of space and time [O] . Innocentini, Valdir 1999

机译：一种用空间和时间的线性函数评估近似包裹路径的轨迹的连续替换方法

Estimating the most likely space–time paths, dwell times and path uncertainties from vehicle trajectory data: A time geographic method

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