[1]ZHANG Ming.A platform for a data center and decision making in urban rail transit[J].CAAI Transactions on Intelligent Systems,2018,13(3):458-468.[doi:10.11992/tis.201612005]
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A platform for a data center and decision making in urban rail transit
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
13
Number of periods:
2018 3
Page number:
458-468
Column:
学术论文—智能系统
Public date:
2018-05-05
- Title:
- A platform for a data center and decision making in urban rail transit
- Keywords:
- urban rail transit; data center; network operation; data warehouse; operational evaluation; data mining; decision making; index
- CLC:
- TP319
- DOI:
- 10.11992/tis.201612005
- Abstract:
- Based on large datasets for network operations in urban rail transit (URT), an approach on the multilayered framework and functions of an urban rail transit data center is presented. Critical network data management technologies are also discussed, including united data structures, hierarchical logical modeling of data warehouses, decision making, and passenger behavior recognition. Then, an algorithm is proposed based on data association rules and mining principles of forecast cube for evaluation purposes. Using a URT data center as an example, it describes data warehousing and related operations and points to the value of network data management in business-systems integration and in operational efficiency.
- References:
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Last Update:
2018-06-25