ESTIMATION theory, ALGORITHMS, LOCAL transit stations
Abstract
Presents information on a study which applied a neural based crowd estimation system at the platforms of the mass transit railway stations in Hong Kong, China using the hybrid global learning algorithm (HGL). Feature extraction for crowd estimation; Discussion on neural model and HGL algorithm; Results; Conclusion.