Human car-following variability generates nonlinear damping via non-monotonic time-headway shifts that dissipates traffic perturbations, whereas commercial ACC amplifies them 2.7-5 fold in fuel use.
Transportation Research Part C: Emerging Technologies 145, 103921
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MoGERNN uses a mixture-of-graph-experts module and encoder-decoder structure to predict traffic states at unobserved locations and remain effective when the sensor network changes.
citing papers explorer
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Human adaptive variability stabilises collective traffic dynamics
Human car-following variability generates nonlinear damping via non-monotonic time-headway shifts that dissipates traffic perturbations, whereas commercial ACC amplifies them 2.7-5 fold in fuel use.
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MoGERNN: An Inductive Traffic Predictor for Unobserved Locations
MoGERNN uses a mixture-of-graph-experts module and encoder-decoder structure to predict traffic states at unobserved locations and remain effective when the sensor network changes.