@inproceedings{338d68153ded4477b0e4238c8465841e,
title = "TDCT: Transport Destination Calibration Based on Waybill Trajectories of Trucks",
abstract = "Accurate transport destination is significant for improving efficiency in bulk logistics. But actually, the address information and the coordinate of latitude and longitude of transport destination are often incorrect due to manual input errors or vague address. Constantly generated logistics data including trucks{\textquoteright} trajectories and waybills allows for the possibility of calibrating transport destination by analyzing staying behaviors of trucks. In this paper, we propose a transport destination calibration framework, called TDCT. Through clustering stay points into stay areas and then merging nearest stay areas based on turn-off location, stay hotspot can be ensured properly located. Further, a binary classification method by combining behavior features and area features is present to distinguish transport destination from other types of stay hotspots. Finally, a demo system is built for a steel logistics company to showcase the effectiveness of TDCT.",
keywords = "Behavior feature, Stay-area feature, Transport destination calibration, Turn-off location based merging",
author = "Zhu, \{Kai Xuan\} and Tao Wu and Wenyi Shen and Jiali Mao and Yue Shi",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 6th International Joint Conference on Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM), APWeb-WAIM 2022 ; Conference date: 25-11-2022 Through 27-11-2022",
year = "2023",
doi = "10.1007/978-3-031-25201-3\_33",
language = "英语",
isbn = "9783031252006",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "435--440",
editor = "Bohan Li and Chuanqi Tao and Lin Yue and Xuming Han and Diego Calvanese and Toshiyuki Amagasa",
booktitle = "Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Proceedings",
address = "德国",
}