NDLI: Filtering Link Outliers in Vehicle Trajectories by Spatial Reasoning

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Filtering Link Outliers in Vehicle Trajectories by Spatial Reasoning

Content Provider	MDPI
Author	Liu, Junli Pan, Miaomiao Song, Xianfeng Wang, Jing Zhu, Kemin Li, Runkui Rui, Xiaoping Wang, Weifeng Hu, Jinghao Raghavan, Venkatesh
Copyright Year	2021
Description	Vehicle trajectories derived from Global Navigation Satellite Systems (GNSS) are used in various traffic applications based on trajectory quality analysis for the development of successful traffic models. A trajectory consists of points and links that are connected, where both the points and links are subject to positioning errors in the GNSS. Existing trajectory filters focus on point outliers, but neglect link outliers on tracks caused by a long sampling interval. In this study, four categories of link outliers are defined, i.e., radial, drift, clustered, and shortcut; current available algorithms are applied to filter apparent point outliers for the first three categories, and a novel filtering approach is proposed for link outliers of the fourth category in urban areas using spatial reasoning rules without ancillary data. The proposed approach first measures specific geometric properties of links from trajectory databases and then evaluates the similarities of geometric measures among the links, following a set of spatial reasoning rules to determine link outliers. We tested this approach using taxi trajectory datasets for Beijing with a built-in sampling interval of 50 to 65 s. The results show that clustered links (27.14%) account for the majority of link outliers, followed by shortcut (6.53%), radial (3.91%), and drift (0.62%) outliers.
Starting Page	333
e-ISSN	22209964
DOI	10.3390/ijgi10050333
Journal	ISPRS International Journal of Geo-Information
Issue Number	5
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2021-05-14
Access Restriction	Open
Subject Keyword	ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Transportation Science and Technology Vehicle Gnss Trajectory Tracking Link Outlier Logistic Regression Spatial Reasoning
Content Type	Text
Resource Type	Article

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