Identifying the cargo types of road freight with semi-supervised trajectory semantic enhancement-Reference-Cited by-同舟云学术

Identifying the cargo types of road freight with semi-supervised trajectory semantic enhancement

Published:2023-11-29 Issue: Volume: Page:1-22
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Zhao Yibo¹²,Cheng Shifen¹²,Zhang Beibei¹²,Lu Feng¹²³⁴

Affiliation:

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China

2. University of Chinese Academy of Sciences, Beijing, China

3. The Academy of Digital China, Fuzhou University, Fuzhou, China

4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China

Funder

National Natural Science Foundation of China

Innovation Project of LREIS

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2023.2288116

Reference49 articles.

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2. Akter, T., 2019. Truck activity pattern classification using anonymous mobile sensor data. Fayetteville, NC: University of Arkansas.

3. Albanna B.H. et al. 2015. Semantic trajectories: A survey from modeling to application. 7th International Workshop on Information Fusion and Geographic Information Systems - Deep Virtualization for Mobile GIS (IF&GIS) 18–20 May 2015 Grenoble FRANCE: Lecture Notes in Geoinformation and Cartography 59–76.

4. Assessing the reproducibility of freight vehicle flows using tour and trip-based models for shipment-to-vehicle flow conversion

5. Alvares L.O. et al. 2007. A model for enriching trajectories with semantic geographical information. Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems New York NY USA 1–8.

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