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Predicting and explaining lane-changing behaviour using machine learning: A comparative study

  • Published:2022-12 Issue: Volume:145 Page:103931
  • ISSN:0968-090X
  • Container-title:Transportation Research Part C: Emerging Technologies
  • language:en
  • Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Ali Yasir,Hussain Fizza,Bliemer Michiel C.J.,Zheng Zuduo,Haque Md. Mazharul

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference66 articles.

1. Modeling drivers' acceleration and lane changing behavior;Ahmed,1999

2. Investigation of lane-changing behaviour in a connected environment;Ali,2020

3. Connectivity’s impact on mandatory lane-changing behaviour: Evidences from a driving simulator study;Ali;Transp. Res. Part C,2018

4. A game theory-based approach for modelling mandatory lane-changing behaviour in a connected environment;Ali;Transp. Res. Part C,2019

5. Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment;Ali;Transport. Res. Part C: Emerg. Technol.,2020
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