ML Anthology

PathOracle: A Deep Learning Based Trip Planner for Daily Commuters

Md. Tareq Mahmood, Mohammed Eunus Ali, Muhammad Aamir Cheema, Syed Md. Mukit Rashid, Timos Sellis
ECML-PKDD 2022 pp. 571-586
doi:10.1007/978-3-031-26422-1_35 /ecmlpkdd/2022/mahmood2022ecmlpkdd-pathoracle/

Abstract

In this paper, we propose a novel data-driven approach for a trip planner, that finds the most popular multi-modal trip using public transport from historical trips, given a source, a destination, and user-defined constraints such as time, minimum switches, or preferred modes of transport. To solve the most popular trip and its variants, we propose a multi-stage deep learning architecture, PathOracle, that consists of two major components: KSNet to generate key stops, and MPTNet to generate popular path trips from a source to a destination passing through the key stops. We also introduce a unique representation of stops using Stop2Vec that considers both the neighborhood and trip popularity between stops to facilitate accurate path planning. We present an extensive experimental study with a large real-world public transport based commuting Myki dataset of Melbourne city, and demonstrate the effectiveness of our proposed approaches.

PDF ECML-PKDD Semantic Scholar

Cite

Text

Mahmood et al. "PathOracle: A Deep Learning Based Trip Planner for Daily Commuters." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022. doi:10.1007/978-3-031-26422-1_35

Markdown

[Mahmood et al. "PathOracle: A Deep Learning Based Trip Planner for Daily Commuters." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.](https://mlanthology.org/ecmlpkdd/2022/mahmood2022ecmlpkdd-pathoracle/) doi:10.1007/978-3-031-26422-1_35

BibTeX

@inproceedings{mahmood2022ecmlpkdd-pathoracle,
  title     = {{PathOracle: A Deep Learning Based Trip Planner for Daily Commuters}},
  author    = {Mahmood, Md. Tareq and Ali, Mohammed Eunus and Cheema, Muhammad Aamir and Rashid, Syed Md. Mukit and Sellis, Timos},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2022},
  pages     = {571-586},
  doi       = {10.1007/978-3-031-26422-1_35},
  url       = {https://mlanthology.org/ecmlpkdd/2022/mahmood2022ecmlpkdd-pathoracle/}
}