Dynamic traffic demand uncertainty prediction using radio‐frequency identification data and link volume data-Reference-Cited by-同舟云学术

Dynamic traffic demand uncertainty prediction using radio‐frequency identification data and link volume data

Author:

Liu Yu¹²,Liu Zhao¹²,Li Xiugang³,Huang Wei¹,Wei Yun⁴,Cao Jinde⁵⁶^ORCID,Guo Jianhua¹²⁶^ORCID

Affiliation:

1. Intelligent Transportation System Research CenterSoutheast UniversityNanjingPeople's Republic of China

2. Transportation Sensing and Cognition Research CenterSoutheast UniversityNanjingPeople's Republic of China

3. Oregon Department of TransportationSalemUSA

4. Beijing Urban Construction Design and Development Group Co. LtdBeijingPeople's Republic of China

5. School of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast UniversityNanjingPeople's Republic of China

6. Jiangsu Provincial Key Laboratory of Networked Collective IntelligenceNanjingPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

Reference48 articles.

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