Mining Urban Traffic Condition from Crowd-Sourced Data-Reference-Cited by-同舟云学术

Mining Urban Traffic Condition from Crowd-Sourced Data

Published:2020-07 Issue:4 Volume:1 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Mai-Tan Ha,Pham-Nguyen Hoang-Nam^ORCID,Long Nguyen Xuan,Minh Quang Tran^ORCID

Funder

Department of Science and Technology (DoST), Ho Chi Minh City

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1007/s42979-020-00244-6.pdf

Reference42 articles.

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2. Minh QT, Pham-Nguyen HN, Tan HM, Long NX. Traffic congestion estimation based on crowd-sourced data. In: Proceedings of the 2019 International Conference on Advanced Computing and Applications (ACOMP). 2019. pp. 119–126.

3. Quang T, Baharudin M, Kamioka E. Synergistic approaches to mobile intelligent transportation systems considering low penetration rate. Elsevier PMC. 2014;10(Part B):187–202.

4. D. of Traffic and Transportation. Road traffic portal, Ho Chi Minh City. http://giaothong.hochiminhcity.gov.vn/ , 2019. Online; Accessed Apr 2019.

5. Vu P T. Smart bk traffic. http://traffic.hcmut.edu.vn/index.html , 2019. Online; Accessed Apr 2019.

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