Bus-OLAP: A Data Management Model for Non-on-Time Events Query Over Bus Journey Data

• DOI: 10.1007/s41019-018-0061-9
• Publication Date: 2018-03-15T12:10:49Z
• Authors: Lei Duan; Tinghai Pang; Jyrki Nummenmaa; Jie Zuo; Peng Zhang; Changjie Tang
• Keywords: Online analytical processing

Increasing the on-time rate of bus service can prompt people’s willingness to travel by bus, which is an effective measure mitigate city traffic congestion. Performing queries on arrival be used identify and analyze various kinds non-on-time events that happened during journey, helpful for detecting factors delaying events, providing decision support optimizing schedules. We propose a data management model, called Bus-OLAP, querying journey data, considering characteristics running scenarios analysis. While fulfilling typical requirements queries, Bus-OLAP not only provides flexible way manage implement multiple granularity query update, but it also supports distributed computation. The experiments real-world verify efficient.