An Embarrassingly Simple Rule-based Visiting Circulation Approach to Trip Destination Prediction

Eng Shen Tu, Yong Han Chen, En Chao Liu, Hao Yun Keng, Cheng Te Li

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose the Rule-based Visiting Circulation (RVC) model in tackling the challenge in the IEEE Big Data Cup 2022: Trip Destination Prediction. Given trips containing travel information, personal attributes, origin zones, and their features in the training metropolitan areas, the task is to predict the destination of every trip in a targeted metropolitan area whose destinations are not given at all at the training stage. We highlight the challenges in this destination prediction task - having no knowledge of the destinations in the targeted metropolitan area. We provide insights from the datasets, in which revisiting behaviors and the relationships between origins and destinations play a crucial role in individuals' trips. Hence, we design a simple but comprehensive method, rule-based visiting circulation, which directly utilizes the origin information and individuals' trip behaviors to determine the destinations in the targeted metropolitan area, i.e., requiring no learning from the four training areas. Experimental results on both offline evaluation and leaderboard submission consistently exhibit the proposed RVC can significantly outperform supervised learning methods and other heuristics. The RVC method eventually brings us to second place in the competition leaderboard.

原文English
主出版物標題Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
編輯Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
發行者Institute of Electrical and Electronics Engineers Inc.
頁面6565-6572
頁數8
ISBN(電子)9781665480451
DOIs
出版狀態Published - 2022
事件2022 IEEE International Conference on Big Data, Big Data 2022 - Osaka, Japan
持續時間: 2022 12月 172022 12月 20

出版系列

名字Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

Conference

Conference2022 IEEE International Conference on Big Data, Big Data 2022
國家/地區Japan
城市Osaka
期間22-12-1722-12-20

All Science Journal Classification (ASJC) codes

  • 建模與模擬
  • 電腦網路與通信
  • 資訊系統
  • 資訊系統與管理
  • 安全、風險、可靠性和品質
  • 控制和優化

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