Fairness-Enhancing Deep Learning for Ride-Hailing Demand Prediction

Fairness-Enhancing Deep Learning for Ride-Hailing Demand Prediction

Short-term demand forecasting for on-demand ride-hailing services is a fundamental issue in intelligent transportation systems. However, previous research predominantly focused on improving prediction accuracy, ignoring fairness issues such as systematic underestimations of travel demand in disadvan...

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Bibliographic Details
Main Authors: Zheng, Yunhan, Wang, Qingyi, Zhuang, Dingyi, Wang, Shenhao, Zhao, Jinhua
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2024
Subjects:
Computer Science Applications
Mechanical Engineering
Automotive Engineering
Online Access:https://hdl.handle.net/1721.1/153519

Internet

https://hdl.handle.net/1721.1/153519

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