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Multi-regime analysis for computer vision-based traffic surveillance using a change-point detection algorithm
An autoencoder was used to reduce the dimensions of input images, and reduced feature vectors were used to implement the online change-point algorithm.
Non-anchor-based vehicle detection for traffic surveillance using bounding ellipses
As a result, the performance of the two models with bounding ellipses exceeded that of the reference models with bounding boxes.
Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner
First, the action space exponentially explodes as the number of intersections to be jointly controlled increases.
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