Estimating lane utilization for variable approach lanes using explainable machine learning-Reference-Cited by-同舟云学术

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Estimating lane utilization for variable approach lanes using explainable machine learning

Published:2023-08-30 Issue:1 Volume:11 Page:
ISSN:2168-0566
Container-title:Transportmetrica B: Transport Dynamics
language:en
Short-container-title:Transportmetrica B: Transport Dynamics

Author:

Alagbé Adjé Jérémie¹²,Jin Sheng¹²³,Bao Qianhan¹²,Guo Wentong¹²

Affiliation:

1. Institute of Intelligent Transportation Systems, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, People’s Republic of China

2. Center for Balance Architecture, Zhejiang University, Hanzghou, People’s Republic of China

3. Zhongyuan Institute, Zhejiang University, Zhengzhou, People’s Republic of China

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Informa UK Limited

Subject

Transportation,Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/21680566.2023.2250562

Reference25 articles.

1. Empirical analysis of traffic flow characteristics at variable approach lanes

2. Traffic congestion and what to do about it

3. Implementation Vision for Distributed Control of Traffic Signal Subsystems

4. Optimization of Lane Use and Signal Timing for Isolated Signalized Intersections with Variable Lanes

5. Mechanism and Implementation Effect Evaluation of Variable Lane;Gu Shuang S.;Transaction of Beijing Institute of Technology,2012

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