@misc{6c123b953bd240c893febe20a62d7cb5,
title = "A Deep Learning Approach for Transportation Network Companies Trip-Demand Prediction Considering Spatial-Temporal Features",
abstract = "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.",
keywords = "deep learning, TNC, transportation network company, trip demand",
author = "Yi Hou and Venu Garikapati and Joshua Sperling and Alejandro Henao and Stanley Young",
year = "2019",
language = "American English",
series = "Presented at the Transportation Research Board (TRB) Annual Meeting 2019, 13-17 January 2019, Washington, D.C.",
type = "Other",
}