ORBIT: Optimal Recommendation Framework for Boarding with Interpretable Timelines

Kang, Joonseong; Hwang, Seung Ha; Bang, Jaehun; Ko, Jiyoung; Park, Subeen; Gennari, Jeffrey

doi:10.24963/ijcai.2026/971

ORBIT: Optimal Recommendation Framework for Boarding with Interpretable Timelines

Joonseong Kang, Seung Ha Hwang, Jaehun Bang, Jiyoung Ko, Subeen Park, Jeffrey Gennari

Download BibTeX Cite

Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Demo Track. Pages 8423-8426.

https://doi.org/10.24963/ijcai.2026/971

Keywords

AI: Multidisciplinary Topics and Applications
AI: Planning and Scheduling

Abstract

Determining when to leave for the airport is a complex problem shaped by flight delay risk, traffic, weather, airport congestion, and passenger-specific constraints. Existing services rely on isolated delay estimates or simple travel time calculations, failing to capture real-time context. We propose ORBIT, a decision-support system that generates personalized leave-by recommendations by integrating predictive models with real-time operational signals. The system combines user input normalization, real-time data acquisition, Transformer-based delay prediction, and LLM-based reasoning to jointly account for statistical forecasts and dynamic factors like congestion, previous-leg propagation, weather, traffic, and airport processing times. Instead of a standalone delay estimate, ORBIT produces an actionable and interpretable departure plan. We implement ORBIT as an interactive system and demonstrate its applicability. A video demo is available at https://youtu.be/fZX42jceIM4.

Joonseong Kang, Seung Ha Hwang, Jaehun Bang, Jiyoung Ko, Subeen Park, and Jeffrey Gennari. 2026. ORBIT: Optimal Recommendation Framework for Boarding with Interpretable Timelines. In Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26. IJCAI, 8423–8426. https://doi.org/10.24963/ijcai.2026/971

@inproceedings{ijcai2026p971,
  title     = {ORBIT: Optimal Recommendation Framework for Boarding with Interpretable Timelines},
  author    = {Kang, Joonseong and Hwang, Seung Ha and Bang, Jaehun and Ko, Jiyoung and Park, Subeen and Gennari, Jeffrey},
  booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-26}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Diego Calvanese},
  pages     = {8423--8426},
  year      = {2026},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2026/971},
  url       = {https://doi.org/10.24963/ijcai.2026/971},
}

TY  - CPAPER
TI  - ORBIT: Optimal Recommendation Framework for Boarding with Interpretable Timelines
AU  - Kang, Joonseong
AU  - Hwang, Seung Ha
AU  - Bang, Jaehun
AU  - Ko, Jiyoung
AU  - Park, Subeen
AU  - Gennari, Jeffrey
T2  - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2026
SP  - 8423
EP  - 8426
DO  - 10.24963/ijcai.2026/971
UR  - https://doi.org/10.24963/ijcai.2026/971
ER  -