TRB Highlight: “Predicting Parking Occupancy for Residential Shared Parking Lots Using Deep Learning Methods Considering COVID-19 Policies”
Title of Paper: “Predicting Parking Occupancy for Residential Shared Parking Lots Using Deep Learning Methods Considering COVID-19 Policies” Authors: Zhipeng Niu, Xiaowei Hu, Mahmudur Fatmi, Shouming Qi, Dongling Wu, Shi An Description: In this study, a parking occupancy prediction model based on a policy-aware temporal convolutional network (P-TCN) is proposed. Policy dependence of non-stationary data […]