Joint prediction of zone-based and OD-based passenger demands with a novel generative adversarial network-Reference-Cited by-同舟云学术

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Joint prediction of zone-based and OD-based passenger demands with a novel generative adversarial network

Published:2022-08 Issue: Volume:600 Page:127550
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Shen Huitao,Zheng Liang,Zhang Kunpeng^ORCID,Li Changlin

Publisher

Elsevier BV

Subject

Statistical and Nonlinear Physics,Statistics and Probability

Reference34 articles.

1. T-finder: A recommender system for finding passengers and vacant taxis;Yuan;IEEE Trans. Knowl. Data Eng.,2012

2. Time-of-day pricing in taxi markets;Qian;IEEE Trans. Intell. Transp. Syst.,2017

3. Predicting taxi–passenger demand using streaming data;Moreira-Matias;IEEE Trans. Intell. Transp. Syst.,2013

4. Comparison of parametric and nonparametric models for traffic flow forecasting;Smith;Transp. Res. C,2002

5. Short-time traffic flow prediction based on chaos time series theory;Jieni;J. Transp. Syst. Eng. Inf. Technol.,2008

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2. Ride-hailing origin-destination demand prediction with spatiotemporal information fusion;Transportation Safety and Environment;2023-05-18

3. Improving the Efficiency of Rail Passenger Transportation Using an Innovative Operational Concept;Sustainability;2023-03-22

4. Network-wide ride-sourcing passenger demand origin-destination matrix prediction with a generative adversarial network;Transportmetrica A: Transport Science;2022-08-23

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