Urban Rail Revenue Reconciliation Method Based on Passenger Boarding Probability-Reference-Cited by-同舟云学术

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Urban Rail Revenue Reconciliation Method Based on Passenger Boarding Probability

Published:2023-11-24 Issue: Volume:23 Page:464-469
ISSN:
Container-title:Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence
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Author:

Xu Changyi¹^ORCID,Wang Junhang²^ORCID,Shao Jiayu²^ORCID,Zhang Ning³^ORCID

Affiliation:

1. Suzhou Rail Transit Group Co., China

2. School of Automation, Southeast University, China

3. ITS Engineering Research Center, Ministry of Education, Southeast University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3653081.3653158

Reference12 articles.

1. Wu S. 2021. Study on Route Choice of Public Transportation Based on Mixed Logit-Cumulative Prospect Theory. Xi'an: Xi'an University of Architecture and Technology. 10.27393/d.cnki.gxazu.2021.000326.

2. Multi-path reachable ticket clearing model for urban rail transit networked operation;Xie X.;Urban Mass Transit,2020

3. Fu Q. Liu R. Hess S. 2014. A Bayesian modelling framework for individual passenger's probabilistic route choices: A case study on the London underground. https://trid.trb.org/view/1289885.

4. Li, Z. 2019. Research on Passengers' Time-space Travel Route Estimation Method of Urban Rail Transit Based on AFC Data. Beijing: Beijing Jiaotong University. 10.26944/d.cnki.gbfju.2019.000855.

5. Research and application of accurate clearing model for urban rail transit ticket revenue;Chen B.;Urban Mass Transit,2020

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