Does Deep Learning Architectures Model Human‐Like Intelligent Response in Asymmetric Car‐Following Behaviour? A Novel Framework for Learning Acceleration–Deceleration Decisions
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DOI: 10.1049/itr2.70117
Abstract: Accurate modelling of acceleration and deceleration decisions is vital for replicating car‐following behaviour, as these govern longitudinal control, traffic stability, and safety. This study introduces ArrowNet81, a 200‐layer novel convolutional neural network (CNN) architecture designed… read more here.
Keywords: car following; following behaviour; architecture; acceleration deceleration ... See more keywords
Following behaviour and predatory trading
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DOI: 10.1080/13504851.2020.1803477
Abstract: ABSTRACT We model the strategic interaction between the large investor and follower to explore the rationale of following behaviour and predatory trading. It is shown that the large investor behaves like a predator, and can… read more here.
Keywords: following behaviour; behaviour predatory; predatory trading;
Following Behaviour in Mixed Traffic: Effects of Vehicular Interactions, Local Area Concentration and Driving Regimes
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DOI: 10.37624/ijert/13.6.2020.1353-1368
Abstract: This paper models the following behaviour of vehicles in mixed traffic using trajectory data. New models for the longitudinal acceleration of following vehicles are developed based on vehicle type differences and their asymmetric interactions. Two… read more here.
Keywords: area concentration; following behaviour; mixed traffic; local area ... See more keywords