{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/logistics-graphs-and-transformers-towards","title":"Logistics, Graphs, and Transformers: Towards improving Travel Time Estimation","arxiv_id":"2207.05835","date":"2022-07-12","proceeding":null,"authors":["Natalia Semenova","Vadim Porvatov","Vladislav Tishin","Artyom Sosedka","Vladislav Zamkovoy"],"abstract":"The problem of travel time estimation is widely considered as the fundamental challenge of modern logistics. The complex nature of interconnections between spatial aspects of roads and temporal dynamics of ground transport still preserves an area to experiment with. However, the total volume of currently accumulated data encourages the construction of the learning models which have the perspective to significantly outperform earlier solutions. In order to address the problems of travel time estimation, we propose a new method based on transformer architecture - TransTTE.","url_abs":"https://arxiv.org/abs/2207.05835v1","url_pdf":"https://arxiv.org/pdf/2207.05835v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"logistics-graphs-and-transformers-towards","repo_url":"https://github.com/vloods/transtte_demo","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"travel-time-estimation","task_name":"Travel Time Estimation"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[{"method_slug":null,"method_name":"Travel"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/travel-time-estimation-on-tte-a-o","task":"Travel Time Estimation","dataset":"TTE-A&O","model":"TransTTE","rank_in_archive_order":2,"of":6,"metrics":{"Root mean square error (RMSE)":"168.421","mean absolute error":"83.616"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}