A

Prediction of Traffic Speed and Volume considering
Malfunctioning Detectors using Deep Learning

Project Reference	PSRI/21/2111/PR
Project Title	Prediction of Traffic Speed and Volume considering Malfunctioning Detectors using Deep Learning
Applicant	The Hong Kong Polytechnic University
Contact	Prof. Edward CHUNG
Project Duration	24 months [Note]
Approved Funding	HK$1,300,075.00
Project Summary	This project aims to develop a Deep Learning model for predicting traffic speed and volume within the coming one hour when some detectors malfunction. The Deep Learning model is also applicable for imputing missing data in offline applications.