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Enlarging Stability Region of Urban Networks with Imminent Supply Prediction
Urban traffic network is such a system.
An Efficient Safety-oriented Car-following Model for Connected Automated Vehicles Considering Discrete Signals
This paper proposes an efficient safety-oriented car-following model for CAVs considering the impact of discrete signals.
A Map-matching Algorithm with Extraction of Multi-group Information for Low-frequency Data
In addition, there are a large amount of other data, e. g., other vehicles' state and past prediction results, but it is hard to extract useful information for matching maps and inferring paths.
Learning Traffic Flow Dynamics using Random Fields
This paper presents a mesoscopic traffic flow model that explicitly describes the spatio-temporal evolution of the probability distributions of vehicle trajectories.
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