United Prediction of Travel Modes and Purposes in Travel Chains Based on Multitask Learning Deep Neural Networks

Predicting and analyzing travel mode choices and purposes are significant to improve urban travel mobility and transportation planning. Previous research has ignored the interconnection between travel mode choices and purposes and thus overlooked their potential contributions to predictions. Using i...

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Bibliographic Details
Main Authors: Chenxi Xiao, Zhitao Li, Jinjun Tang, Jeanyoung Jay Lee
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/13/9/1528
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