Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona-Reference-Cited by-同舟云学术

Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona

Published:2024-07 Issue:7 Volume:150 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Cottam Adrian¹^ORCID,Li Xiaofeng²^ORCID,Ma Xiaobo³^ORCID,Wu Yao-Jan⁴^ORCID

Affiliation:

1. Assistant Research Professor, Auburn Univ. Transportation Research Institute, Samuel Ginn College of Engineering, Auburn Univ., 311 W Magnolia Ave., Auburn, AL 36849. ORCID: .

2. Assistant Professor, School of Travel Industry Management, Shidler College of Business, Univ. of Hawaii at Manoa, 2560 Campus Rd., Honolulu, HI 96822 (corresponding author). ORCID: .

3. Data Scientist, Pima Association of Governments, 1 E. Broadway Blvd., Suite 401, Tucson, AZ 85701. ORCID: .

4. Associate Professor, Dept. of Civil and Architectural Engineering and Mechanics, Univ. of Arizona, 1209 E. 2nd St., Tucson, AZ 85721. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-8304

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5. Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values;Cui Z.;Transp. Res. Part C: Emerging Technol.,2020

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