Intelligent Application of Big Data in Rail Transit

Fei Wang

doi:10.18686/ijmss.v7i10.10141

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Intelligent Application of Big Data in Rail Transit

Fei Wang

International Journal of Mathematics and Systems Science 2024, 7(10); https://doi.org/10.18686/ijmss.v7i10.10141

Submitted：07 Nov 2024

Accepted：07 Nov 2024

Published：07 Nov 2024

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Abstract

With the rapid development of technology, especially the widespread application of big data, cloud computing, and the Internet of Things, the rail transit industry is undergoing unprecedented transformation. It is gradually shifting from a traditional management model heavily reliant on manual operations towards a direction of intelligence and automation. This article delves into the intelligent operation system of rail transit from two aspects: train operation situation and passenger flow, analysing its significant role in enhancing operational efficiency, optimizing resource allocation, and improving service quality.

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References

[1] Deng Jie, Luo Jianglian. Urban Rail Transit Operation Organization: Chapter 3 Fundamental of Urban Rail Transit Operation. 2019.

P:42.

[2] https://baike.so.com/doc/2967698-3130662.html

[3]Zhai Yaxing. Research on the Operation of Emergency Bus Connections Under the Interruption of Subway Intervals Services. 2013.

[4]Dai Yunjie. Metro Passenger Flow Prediction and Scheduling Optimization Strategy Based on Big Data. 2024.

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