@inproceedings{cf5f4f6983554ce5b1f319a3581841b1,
title = "Bus Stop Refinement Based on Hot Spot Extraction",
abstract = "During rush hour, numerous residents travel to their destinations by a multi-mode transfer way (e.g. bus \& taxi) due to lack of direct buses, which sharply increases trip expense and even heavy traffic. The root of such inconvenience in bus service is that obsolete and incorrect bus stop information cannot satisfy residents{\textquoteright} time-dependent travel demand. In this work, we put forward a framework, called BSRF, to optimize the existing bus route using the mined bus stops from trajectory data of taxis{\textquoteright} short-haul order, including identifying candidate bus stop based on hot drop-off point and matching new bus stop with the existing bus line. We build a demo system to showcase the effectiveness of BSRF, which can offer reliable suggestion on bus stop setting for public transport companies.",
keywords = "Bus stop refinement, Direction matchable, Distance reachable",
author = "Yilian Xin and Jiali Mao and Simin Yu and Minxi Li and Cheqing Jin",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 24th International Workshops on Database Systems for Advanced Applications, DASFAA 2019: BDMS, BDQM, and GDMA ; Conference date: 22-04-2019 Through 25-04-2019",
year = "2019",
doi = "10.1007/978-3-030-18590-9\_89",
language = "英语",
isbn = "9783030185893",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "571--575",
editor = "Guoliang Li and Jun Yang and Joao Gama and Juggapong Natwichai and Yongxin Tong",
booktitle = "Database Systems for Advanced Applications - DASFAA 2019 International Workshops",
address = "德国",
}