An evolutionary game theory-based machine learning framework for predicting mandatory lane change decision
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Maximum Academic Press
Reference35 articles.
1. Ali Y, Zheng Z, Haque MM, Wang M. 2019. A game theory-based approach for modelling mandatory lane-changing behaviour in a connected environment. Transportation Research Part C: Emerging Technologies 106:220−42
Ali Y, Zheng Z, Haque MM, Wang M. 2019. A game theory-based approach for modelling mandatory lane-changing behaviour in a connected environment. Transportation Research Part C: Emerging Technologies 106:220−42
2. Fu X, Liu J, Huang Z, Hainen AM, Khattak AJ. 2023. LSTM-based lane change prediction using Waymo open motion dataset: the role of vehicle operating space. Digital Transportation and Safety 2:112−23
Fu X, Liu J, Huang Z, Hainen AM, Khattak AJ. 2023. LSTM-based lane change prediction using Waymo open motion dataset: the role of vehicle operating space. Digital Transportation and Safety 2:112−23
3. Mullakkal-Babu FA, Wang M, van Arem B, Happee R. 2020. Empirics and models of fragmented lane changes. IEEE Open Journal of Intelligent Transportation Systems 1:187−200
Mullakkal-Babu FA, Wang M, van Arem B, Happee R. 2020. Empirics and models of fragmented lane changes. IEEE Open Journal of Intelligent Transportation Systems 1:187−200
4. Wang Z, Guan M, Lan J, Yang B, Kaizuka T, et al. 2022. Classification of automated lane-change styles by modeling and analyzing truck driver behavior: a driving simulator study. IEEE Open Journal of Intelligent Transportation Systems 3:772−85
Wang Z, Guan M, Lan J, Yang B, Kaizuka T, et al. 2022. Classification of automated lane-change styles by modeling and analyzing truck driver behavior: a driving simulator study. IEEE Open Journal of Intelligent Transportation Systems 3:772−85
5. An G, Bae JH, Talebpour A. 2023. An optimized car-following behavior in response to a lane-changing vehicle: a Bézier curve-based approach. IEEE Open Journal of Intelligent Transportation Systems 4:682−89
An G, Bae JH, Talebpour A. 2023. An optimized car-following behavior in response to a lane-changing vehicle: a Bézier curve-based approach. IEEE Open Journal of Intelligent Transportation Systems 4:682−89
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