{"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/on-the-real-time-vehicle-placement-problem","title":"On the Real-time Vehicle Placement Problem","arxiv_id":"1712.01235","date":"2017-12-04","proceeding":null,"authors":["Abhinav Jauhri","Carlee Joe-Wong","John Paul Shen"],"abstract":"Motivated by ride-sharing platforms' efforts to reduce their riders' wait\ntimes for a vehicle, this paper introduces a novel problem of placing vehicles\nto fulfill real-time pickup requests in a spatially and temporally changing\nenvironment. The real-time nature of this problem makes it fundamentally\ndifferent from other placement and scheduling problems, as it requires not only\nreal-time placement decisions but also handling real-time request dynamics,\nwhich are influenced by human mobility patterns. We use a dataset of ten\nmillion ride requests from four major U.S. cities to show that the requests\nexhibit significant self-similarity. We then propose distributed online\nlearning algorithms for the real-time vehicle placement problem and bound their\nexpected performance under this observed self-similarity.","url_abs":"http://arxiv.org/abs/1712.01235v1","url_pdf":"http://arxiv.org/pdf/1712.01235v1.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":"on-the-real-time-vehicle-placement-problem","repo_url":"https://github.com/ajauhri/mobility-modeling","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"scheduling","task_name":"Scheduling"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}