SPATIOTEMPORAL AGGREGATION METHOD BASED ON TRAJECTORY DATA FOR LOGISTICS VEHICLE TRANSPORT MOTION ANALYSIS, 171-181.

The analysis of common data features based on two-dimensionallocation information neglects to take into account the temporaldimension, which leads to poor analytical results in the processof recognising geographic information.

Authors

Publication Details

Journal
Mechatronic systems and control
Published
2024-12-18
DOI
https://doi.org/10.2316/j.2025.201-0488
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

SPATIOTEMPORAL AGGREGATION METHOD BASED ON TRAJECTORY DATA FOR LOGISTICS VEHICLE TRANSPORT MOTION ANALYSIS, 171-181.

Jianshuang Liu, Xian Meng, Lijun Wang
Mechatronic systems and control
E-commerce and Technology Innovations
article

SPATIOTEMPORAL AGGREGATION METHOD BASED ON TRAJECTORY DATA FOR LOGISTICS VEHICLE TRANSPORT MOTION ANALYSIS, 171-181.

Jianshuang Liu, Xian Meng, Lijun Wang
article en

Abstract

The analysis of common data features based on two-dimensionallocation information neglects to take into account the temporaldimension, which leads to poor analytical results in the processof recognising geographic information.

Mechatronic systems and controlVol. 53(3)
Openalex Percentile: Top 57%
E-commerce and Technology Innovations
DOISourceOpenAlex
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SPATIOTEMPORAL AGGREGATION METHOD BASED ON TRAJECTORY DATA FOR LOGISTICS VEHICLE TRANSPORT MOTION ANALYSIS, 171-181. — Jianshuang Liu, Xian Meng, et al. · Mechatronic systems and control (2024) | TGRS Research Map | TGRS