Urban Rail Revenue Reconciliation Method Based on Passenger Boarding Probability
Pages 464 - 469
Abstract
This paper presents a ticket clearing method based on estimating passenger route selection probabilities. The method assumes that the number of trains waited by passengers at the origin and transfer stations follows a polynomial distribution. By applying maximum likelihood estimation, the probability of waiting for trains at the origin and transfer stations can be obtained, allowing the inference of the probability of routes to be selected. Synthetic data are used to validate the model, showing an accuracy of 90% and indicating its ability to effectively match the actual probability of the route being selected. By using this method, passenger flow on each line can be further estimated, providing better insight into the distribution of passenger flow within the network. The proposed model allows a more detailed analysis of network passenger flow, facilitating more accurate ticket clearing.
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Index Terms
- Urban Rail Revenue Reconciliation Method Based on Passenger Boarding Probability
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Published In
November 2023
902 pages
ISBN:9798400716485
DOI:10.1145/3653081
Copyright © 2023 ACM.
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Published: 03 May 2024
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IoTAAI 2023
IoTAAI 2023: 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence
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