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A CNN-LSTM Car-Following Model Considering Generalization Ability [PDF]
Sensors, 2023 To explore the potential relationship between the leading vehicle and the following vehicle during car-following, we proposed a novel car-following model combining a convolutional neural network (CNN) with a long short-term memory (LSTM) network. Firstly,
Pinpin Qin +4 more
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Adaptive Car Following Model [PDF]
Journal of Mechanical Engineering, 2018 The vehicle dynamics was a very lot developed in the last twenty years. There is a huge gap in the different vehicle models in this field. Researchers need accurate the car following models because of it.
Mika Péter
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Macroscopic traffic models from microscopic car-following models [PDF]
Physical Review E, 2001 12 pages, 4 figures; to appear in Phys.
Lee, H. K., Lee, H. -W., Kim, D.
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An Intelligent Evolving Car-Following Model
IEEE Access, 2023 The existing data-driven car-following models do not take structural and range variations of velocity and acceleration into account. This paper develops a new approach to address both structural and range variations in the car-following process through ...
Majid Abdollahzade, Reza Kazemi
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A car-following model of CAVs integrating state information from multiple leading and single following vehicles [PDF]
Scientific ReportsTo uncover the root causes of congestion in traffic flows involving connected and autonomous vehicles (CAVs) and improve stability, the multi-leading and single-following vehicles state information car-following (MLSFICF) model for CAVs is introduced in ...
Yongsheng Chen, Guozhu Cheng
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SUMO Conference Proceedings, 2023 In this study, the physical principles governing car-following (CF) behavior and their impact on traffic flow at signalized intersections are investigated. High temporal-resolution radar data is used to provide valuable insights into actual CF behavior,
Max Schrader +2 more
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World Electric Vehicle Journal, 2023 Despite the significant impact of network hyperparameters on deep learning car-following models, there has been relatively little research on network hyperparameters of deep learning car-following models.
Pinpin Qin +5 more
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Research on Short-Term Driver Following Habits Based on GA-BP Neural Network
World Electric Vehicle Journal, 2022 The current commercial intelligent driving systems still take the optimal strategy judged by the machine to be the only goal. Therefore, in order to improve the driving experience of the intelligent driving following scene, based on the assumption that ...
Cheng Wu +6 more
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Identifying suitable car-following models to simulate automated vehicles on highways
International Journal of Transportation Science and Technology, 2023 This study addresses car-following models that are currently used for simulating AV and CAV. Diverse car-following models, Intelligent Driver Model (IDM), Improved IDM (IIDM), IIDM with Constant-Acceleration Heuristic (CAH), and MIcroscopic model for ...
Bumsik Kim, Kevin P. Heaslip
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Multianticipative Piecewise-Linear Car-Following Model [PDF]
Transportation Research Record: Journal of the Transportation Research Board, 2012 An extension of the piecewise-linear car-following model to multianticipative driving is proposed. As in the one-car-anticipative model, the stability and the stationary regimes are characterized through a variational formulation of the car dynamics.
Farhi, Nadir +2 more
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