Journal article
FASTS: A Satisfaction-Boosting Bus Scheduling Assistant
S Mo, Z Bao, B Zheng, Z Peng
Proceedings of the VLDB Endowment | ASSOC COMPUTING MACHINERY | Published : 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.
Grants
Awarded by Australian Research Council
Funding Acknowledgements
Zhiyong Peng is supported in part by the National Key Research and Development Program of China (Project Number: 2018YFB1003400), Key Project of the National Natural Science Foundation of China (Project Number: U1811263) and the Research Fund from Alibaba Group. Zhifeng Bao is supported in part by ARC DP200102611, DP180102050. Baihua Zheng is supported in part by Prime Minister's Office, Singapore under its International Research Centres in Singapore Funding Initiative.