City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories-Reference-Cited by-同舟云学术

City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories

Published:2017-11-07 Issue: Volume: Page:
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Container-title:Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Author:

Meng Chuishi¹,Yi Xiuwen²,Su Lu¹,Gao Jing¹,Zheng Yu³

Affiliation:

1. SUNY Buffalo, Buffalo, NY, USA

2. Southwest Jiaotong University, Chengdu, China and Urban Computing Group, Microsoft Research, Beijing, China

3. Urban Computing Group, Microsoft Research, Beijing, China and Xidian University, Xi'an, China and Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Funder

China National Basic Research Program

National Natural Science Foundation of China

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3139958.3139984

Reference32 articles.

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3. Semi-supervised learning using randomized mincuts

4. BD Greenshields Ws Channing Hh Miller etal 1935. A study of traffic capacity. In Highway research board proceedings Vol. 1935. National Research Council (USA) Highway Research Board. BD Greenshields Ws Channing Hh Miller et al. 1935. A study of traffic capacity. In Highway research board proceedings Vol. 1935. National Research Council (USA) Highway Research Board.

5. Astrid Gühnemann Ralf-Peter Schäfer Kai-Uwe Thiessenhusen and Peter Wagner. 2004. Monitoring traffic and emissions by floating car data. (2004). Astrid Gühnemann Ralf-Peter Schäfer Kai-Uwe Thiessenhusen and Peter Wagner. 2004. Monitoring traffic and emissions by floating car data. (2004).

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