A Deep Learning Approach for Transportation Network Companies Trip-Demand Prediction Considering Spatial-Temporal Features [electronic resource]

• Ngôn ngữ: eng
• Ký hiệu phân loại: 629.22 Types of vehicles
• Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2019
• Mô tả vật lý: Size: 1.3 MB : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 266379
• Chủ đề: 1. 33 advanced propulsion systems; 2. Deep learning; 3. Tnc; 4. Transportation network company; 5. Trip demand

Tóm tắt

This poster details an NREL-developed deep learning approach for predicting the demand for trips using transportation network company services, taking into consideration variables such as time of day, weather, and zip code.