FASTS: A Satisfaction-Boosting Bus Scheduling Assistant
Summary: FASTS is a constraint-aware bus-scheduling assistant that optimizes under coarse- or fine-grained user constraints, enabling diverse explorations across constraint levels. Evaluation on Singapore's real-world data—396 routes, 28M trips—shows scalable performance analytics and visualizations for practical transit planning. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Songsong Mo (Wuhan University)
- 2. Zhifeng Bao (Royal Melbourne Institute of Technology University)
- 3. Baihua Zheng (Singapore Management University)
- 4. Zhiyong Peng (Wuhan University)
BibTeX Citation
@article{mo_vldb20,
title = {{FASTS: A Satisfaction-Boosting Bus Scheduling Assistant}},
author = {Mo, Songsong and Bao, Zhifeng and Zheng, Baihua and Peng, Zhiyong},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2873--2876},
doi = {10.14778/3415478.3415497},
url = {https://doi.org/10.14778/3415478.3415497},
year = {2020}
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