Intelligent Application of Big Data in Rail Transit
Article ID: 10141
Vol 7, Issue 10, 2024
Vol 7, Issue 10, 2024
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.
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.
Keywords
Big Data; Rail Transit; Intelligent Operation
Full Text:
PDFReferences
1. [1] Deng Jie, Luo Jianglian. Urban Rail Transit Operation Organization: Chapter 3 Fundamental of Urban Rail Transit Operation. 2019.
2. P:42.
3. [2] https://baike.so.com/doc/2967698-3130662.html
4. [3]Zhai Yaxing. Research on the Operation of Emergency Bus Connections Under the Interruption of Subway Intervals Services. 2013.
5. [4]Dai Yunjie. Metro Passenger Flow Prediction and Scheduling Optimization Strategy Based on Big Data. 2024.
DOI: https://doi.org/10.18686/ijmss.v7i10.10141
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