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Design and evaluation of a novel convolutional neural network for short-term vehicle multi-traffic prediction
(2019-08-01)
Short-term vehicle traffic forecasting is about predicting how traffic indicators are going to be in the near future. The main traffic parameters are: traffic volume, traffic speed, and congestion state. In this thesis, ...
A novel deep learning architecture and large-scale benchmark for robust object detection in traffic surveillance and analysis
(2022-12-01)
Upstream technologies such as traffic surveillance provide helpful information to downstream intelligent transportation systems intending to improve the safety, mobility, and efficiency of road-users whilst reducing their ...