TSANET: transportation mode recognition model with global and local spatiotemporal features-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

TSANET: transportation mode recognition model with global and local spatiotemporal features

Published:2023-12-04 Issue: Volume: Page:
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Zhu Fangyin,Xu Wei,Liu Duanyang,Shi Haiyan

Funder

Zhejiang Public Welfare Technology Research Program

Zhejiang Provincial Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05785-0.pdf

Reference45 articles.

1. Dabiri S, Lu C-T, Heaslip K, Reddy CK (2019) Semi-supervised deep learning approach for transportation mode identification using GPS trajectory data. IEEE Trans Knowl Data Eng 32(5):1010–1023. https://doi.org/10.1109/TKDE.2019.2896985

2. Zhou X, Wang M, Li D (2019) Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning. J Transp Geogr 79:102479. https://doi.org/10.1016/j.jtrangeo.2019.102479

3. Nick T, Coersmeier E, Geldmacher J, Goetze J (2010) Classifying means of transportation using mobile sensor data. In: The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, Barcelona, pp 1–6. https://doi.org/10.1109/IJCNN.2010.5596549

4. Feng T, Timmermans HJ (2013) Transportation mode recognition using GPS and accelerometer data. Transp Res Part C: Emerg Technol 37:118–130. https://doi.org/10.1016/j.trc.2013.09.014

5. Qin Y, Luo H, Zhao F, Wang C, Fang Y (2021) NDGCN: network in network, dilate convolution and graph convolutional networks based transportation mode recognition. IEEE Trans Veh Technol 70(3):2138–2152. https://doi.org/10.1109/TVT.2021.3060761

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3