Development and evaluation of frameworks for real-time bus passenger occupancy prediction

Author:

Wood Jonathan,Yu Zhengyao,Gayah Vikash V.ORCID

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Transportation,Automotive Engineering,Civil and Structural Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Graph Neural Network Framework for Imbalanced Bus Ridership Forecasting;2024 IEEE International Conference on Smart Computing (SMARTCOMP);2024-06-29

2. Advanced hybrid LSTM-transformer architecture for real-time multi-task prediction in engineering systems;Scientific Reports;2024-02-28

3. INFLUENCE OF PASSENGER ROUTE TRANSPORT ON TRAFFIC SAFETY ON THE STREET AND ROAD NETWORK;AUTOMOBILE ROADS AND ROAD CONSTRUCTION;2024

4. Predicting Passenger Occupancy of Commercial Buses Using Regression Approach of Machine Learning;2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA);2023-11-14

5. Unified Occupancy on a Public Transport Network Through Combination of AFC and APC Data;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

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