Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
9-2020
Abstract
In this paper, we demonstrate a satisfaction-boosting bus scheduling assistant called FASTS, which assists users to find an optimal bus schedule. FASTS performs bus scheduling based on the constraints specified by the user in either a coarse-grained or a fine-grained manner, supports different explorations with a varying number of constraints, and provides analysis to quantify the performance of bus schedules and presents the results in a visually pleasing way. We demonstrate FASTS using real-world bus routes (396 routes) and one-week bus touch-on/touch-off records (28 million trip records) in Singapore.
Discipline
Databases and Information Systems | Software Engineering
Research Areas
Data Science and Engineering
Publication
Proceedings of the 46th International Conference on Very Large Data Bases (PVLDB'20), Tokyo, Japan, August 31 - September 4
First Page
2873
Last Page
2876
Identifier
10.14778/3415478.3415497
City or Country
Tokyo, Japan
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.14778/3415478.3415497