Roadway Capacity Analysis Under Connected and Automated Vehicles Environment

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Roadway Capacity Analysis Under Connected and Automated Vehicles Environment

Gao, Zhibo / Wu, Zhizhou / Li, Junxian / Long, Keke

An analytical method of roadway capacity in the presence of vehicle platoons is proposed at mixed traffic, which consists of connected and automated vehicles (CAVs) and human-driven vehicles (HVs). First, a probability model is provided to reflect the distribution characteristics of four types of vehicles, including HVs, ACC (Adaptive Cruise Control) vehicles, CACC (Cooperative Adaptive Cruise Control) leader vehicles, and CACC following vehicles. Then, the Full Velocity Difference (FVD) model and ACC/CACC models calibrated by the PATH laboratory are introduced to describe the longitudinal car-following behaviors of HVs and CAVs, respectively. Final, analytical methods for the basic capacity of single-lane and multi-lane highways are developed. The results showed that increasing the CAV penetration rate and the maximum platoon size can improve the basic lane capacity.

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Dokumentinformationen

Titel :

Roadway Capacity Analysis Under Connected and Automated Vehicles Environment

Weitere Titelangaben:

Lect. Notes Electrical Eng.

Beteiligte:

S. Shmaliy, Yuriy (Herausgeber:in) / Abdelnaby Zekry, Abdelhalim (Herausgeber:in) / Gao, Zhibo (Autor:in) / Wu, Zhizhou (Autor:in) / Li, Junxian (Autor:in) / Long, Keke (Autor:in)

Kongress:

International Conference on Computing, Control and Industrial Engineering ; 2021 ; Hangzhou, China October 16, 2021 - October 17, 2021

Erschienen in:

6th International Technical Conference on Advances in Computing, Control and Industrial Engineering (CCIE 2021) ; Kapitel : 3 ; 25-35

Lecture Notes in Electrical Engineering ; 920

Erscheinungsdatum :

2022-07-06

Format / Umfang :

11 pages

ISBN :

978-981-19-3927-3 , 978-981-19-3926-6

ISSN :