Bus-OLAP: A Data Management Model for Non-on-Time Events Query Over Bus Journey Data
Abstract Increasing the on-time rate of bus service can prompt the people’s willingness to travel by bus, which is an effective measure to mitigate the city traffic congestion. Performing queries on the bus arrival can be used to identify and analyze various kinds of non-on-time events that happened...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-03-01
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Series: | Data Science and Engineering |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1007/s41019-018-0061-9 |