Criminal Trajectory Reconstruction Method Based on a Mobile Reference System
Abstract Criminal trajectory reconstruction is a crucial area of study in the investigative and evidentiary processes of public security departments. This paper proposes a method for reconstructing criminal trajectories based on a mobile reference system, starting from sparse location data obtained...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2025-08-01
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| Series: | Computational Urban Science |
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| Online Access: | https://doi.org/10.1007/s43762-025-00189-7 |
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| author | Zhengyan Ding Yan Lin Xin Wei Li Cheng Rui Gu Qi Yan Ying |
| author_facet | Zhengyan Ding Yan Lin Xin Wei Li Cheng Rui Gu Qi Yan Ying |
| author_sort | Zhengyan Ding |
| collection | DOAJ |
| description | Abstract Criminal trajectory reconstruction is a crucial area of study in the investigative and evidentiary processes of public security departments. This paper proposes a method for reconstructing criminal trajectories based on a mobile reference system, starting from sparse location data obtained from surveillance. The goal is to dynamically balance safety and danger perception anchor points, integrating travel distance to reconstruct trajectories that align with the anti-surveillance behavior of criminals. First, the characteristics of criminal movement are analyzed to construct a criminal mobile reference system, where the reference range constrains the potential scope of missing trajectories. Spatial elements influencing the trajectory are selected as anchor points. Based on this reference system, an improved heuristic algorithm balances anchor point transition probabilities and travel distance to identify the optimal sequence of anchor points, filling in the gaps between sparse location points. Experimental comparisons demonstrate that the proposed method reconstructs more accurate and reasonable criminal trajectories. The research provides theoretical support for public security investigations, analyzing criminal movement characteristics and using spatial points related to criminal travel to supplement missing trajectories, addressing gaps in criminal trajectory reconstruction research and contributing to the accurate reconstruction of criminal movement paths. |
| format | Article |
| id | doaj-art-cecaaa9f256b41f1a7beeab8dfa79c00 |
| institution | Kabale University |
| issn | 2730-6852 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Computational Urban Science |
| spelling | doaj-art-cecaaa9f256b41f1a7beeab8dfa79c002025-08-20T04:01:53ZengSpringerComputational Urban Science2730-68522025-08-015111710.1007/s43762-025-00189-7Criminal Trajectory Reconstruction Method Based on a Mobile Reference SystemZhengyan Ding0Yan Lin1Xin Wei Li2Cheng Rui Gu3Qi Yan Ying4School of Information Network Security, People’s Public Security University of ChinaSchool of Information Network Security, People’s Public Security University of ChinaSchool of Information Network Security, People’s Public Security University of ChinaSchool of Information Network Security, People’s Public Security University of ChinaSchool of Information Network Security, People’s Public Security University of ChinaAbstract Criminal trajectory reconstruction is a crucial area of study in the investigative and evidentiary processes of public security departments. This paper proposes a method for reconstructing criminal trajectories based on a mobile reference system, starting from sparse location data obtained from surveillance. The goal is to dynamically balance safety and danger perception anchor points, integrating travel distance to reconstruct trajectories that align with the anti-surveillance behavior of criminals. First, the characteristics of criminal movement are analyzed to construct a criminal mobile reference system, where the reference range constrains the potential scope of missing trajectories. Spatial elements influencing the trajectory are selected as anchor points. Based on this reference system, an improved heuristic algorithm balances anchor point transition probabilities and travel distance to identify the optimal sequence of anchor points, filling in the gaps between sparse location points. Experimental comparisons demonstrate that the proposed method reconstructs more accurate and reasonable criminal trajectories. The research provides theoretical support for public security investigations, analyzing criminal movement characteristics and using spatial points related to criminal travel to supplement missing trajectories, addressing gaps in criminal trajectory reconstruction research and contributing to the accurate reconstruction of criminal movement paths.https://doi.org/10.1007/s43762-025-00189-7Criminal MovementReference AnchorsCrime TrajectoryTrajectory ReconstructionSpatio-temporal Analysis |
| spellingShingle | Zhengyan Ding Yan Lin Xin Wei Li Cheng Rui Gu Qi Yan Ying Criminal Trajectory Reconstruction Method Based on a Mobile Reference System Computational Urban Science Criminal Movement Reference Anchors Crime Trajectory Trajectory Reconstruction Spatio-temporal Analysis |
| title | Criminal Trajectory Reconstruction Method Based on a Mobile Reference System |
| title_full | Criminal Trajectory Reconstruction Method Based on a Mobile Reference System |
| title_fullStr | Criminal Trajectory Reconstruction Method Based on a Mobile Reference System |
| title_full_unstemmed | Criminal Trajectory Reconstruction Method Based on a Mobile Reference System |
| title_short | Criminal Trajectory Reconstruction Method Based on a Mobile Reference System |
| title_sort | criminal trajectory reconstruction method based on a mobile reference system |
| topic | Criminal Movement Reference Anchors Crime Trajectory Trajectory Reconstruction Spatio-temporal Analysis |
| url | https://doi.org/10.1007/s43762-025-00189-7 |
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