@inproceedings{2de54892f4934727819f4b3ec34f79c3,
title = "Dynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction",
abstract = "The crowdedness of buses caused by limited public transportation capacity has already severely influenced the convenience and comfort of inhabitant trip. Existing measures that reducing dispatching interval and replenishing more buses can soothe this case while aggravate traffic jam. To address the issue of inconvenient public transit characterized by packed buses, we propose a data-driven route adjustment framework, called Dynamic Bus Line Adjustment System, to recommend new operating route for the existing bus line by building direct route between extracted hot bus stop pair. DBLAS mainly involves extracting hot bus stop pair based on passenger volume estimation, and planning optimal route between hot bus stop pair using taxi traces. Finally, we develop a demo system to demonstrate the effectiveness of DBLAS.",
keywords = "Bus route, Hot bus stop pair, Passenger volume",
author = "Jiaye Liu and Jiali Mao and Du, \{Yun Tao\} and Lishen Zhao and Zhao Zhang",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019 ; Conference date: 22-04-2019 Through 25-04-2019",
year = "2019",
doi = "10.1007/978-3-030-18590-9\_87",
language = "英语",
isbn = "9783030185893",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "562--566",
editor = "Guoliang Li and Yongxin Tong and Jun Yang and Joao Gama and Juggapong Natwichai",
booktitle = "Database Systems for Advanced Applications - DASFAA 2019 International Workshops",
address = "德国",
}