A Bayesian regression analysis of truck drivers’ use of cooperative adaptive cruise control (CACC) for platooning on California highways-Reference-Cited by-同舟云学术

A Bayesian regression analysis of truck drivers’ use of cooperative adaptive cruise control (CACC) for platooning on California highways

Published:2021-12-06 Issue: Volume: Page:1-12
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Yang Shiyan¹^ORCID,Shladover Steven E.¹,Lu Xiao-Yun¹^ORCID,Ramezani Hani¹,Kailas Aravind²,Altan Osman D.³⁴

Affiliation:

1. Partners for Advanced Transportation Technology (PATH), Institute of Transportation Studies, University of California, Berkeley, Richmond, CA, USA

2. Volvo Group North America, Costa Mesa, CA, USA

3. FHWA, Washington D.C., USA

4. Global Smart System, LLC, Troy, MI, USA

Funder

the Federal Highway Administration’s Exploratory Advanced Research Program under Cooperative

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2021.1990051

Reference29 articles.

1. Exploring the effects of cooperative adaptive cruise control on highway traffic flow using microscopic traffic simulation

2. Advanced Bayesian Multilevel Modeling with the R Package brms

3. Browand, F., McArthur, J. & Radovich, C. (2004). Fuel saving achieved in the field test of two tandem trucks. https://escholarship.org/uc/item/29v570mm

4. Truck Platooning Under Real Traffic Conditions: First Insights on Behavioral Adaptations and Gap Preference of Professional Drivers

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