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Decentralised Traffic Incident Detection via Network Lasso
Traffic incident detection plays a key role in intelligent transportation systems, which has gained great attention in transport engineering.
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction
Physics-informed neural networks (PINNs) are a newly emerging research frontier in machine learning, which incorporate certain physical laws that govern a given data set, e. g., those described by partial differential equations (PDEs), into the training of the neural network (NN) based on such a data set.
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