Machine-learning approach for estimating passenger car equivalent factors using crowdsourced data-Reference-Cited by-同舟云学术

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Machine-learning approach for estimating passenger car equivalent factors using crowdsourced data

Published:2024-07-16 Issue: Volume: Page:
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Cottam Adrian¹^ORCID,Li Xiaofeng²,Wu Yao-Jan³

Affiliation:

1. Transportation Research Institute, Samuel Ginn College of Engineering, Auburn University, Auburn, AL, USA

2. School of Travel Industry Management, Shidler College of Business, University of Hawaii at Manoa, Honolulu, HI, USA

3. Department of Civil and Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2024.2377600

Reference38 articles.

1. Developing passenger car equivalents for heavy vehicles on freeways during queue discharge flow

2. Developing Passenger Car Equivalency Factors for Heavy Vehicles during Congestion

3. Large-Scale Loop Detector Troubleshooting Using Clustering and Association Rule Mining

4. Passenger Car Equivalent Estimation Methods of Trucks in Traffic Stream

5. Delay-based passenger car equivalents for trucks at signalized intersections

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