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Experience: Large-scale Cellular Localization for Pickup Position Recommendation at Black-hole

Published: 02 October 2023 Publication History

Abstract

Location awareness is the basis for enabling pickup service at ride-hailing platforms. In contrast to the almost pervasive coverage outdoors, indoor localization availability is still sporadic in industry since it largely relies on RF signatures from certain IT infrastructure, e.g., WiFi access points. Based on our 2-year observations at DiDi ride-hailing platform in China, there are 68k orders everyday created at black-hole, i.e., where only cellular signals exist. In this paper, we present the design, development, and deployment of TransparentLoc, a large-scale cellular localization system for pickup position recommendation, and share our 2-year experience with 50 million orders across 13 million devices in 4541 cities to address practical challenges including sparse cell towers, unbalanced user fingerprints, and temporal variations. Our system outperforms the iOS built-in cellular localization system in terms of four major service metrics, regardless of environmental changes, smartphone brands/models, time, and cellular providers.

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Cited By

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  • (2024)Poster: Wideband Cellular Sensing for Real-time, Sustainable Geo-localization TagsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699382(811-813)Online publication date: 4-Nov-2024
  • (2024)LiTEfoot: Ultra-low-power Localization using Ambient Cellular SignalsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699356(535-548)Online publication date: 4-Nov-2024

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cover image ACM Conferences
ACM MobiCom '23: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking
October 2023
1605 pages
ISBN:9781450399906
DOI:10.1145/3570361
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 02 October 2023

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Author Tags

  1. cellular localization
  2. pickup position recommendation
  3. ride-hailing platform
  4. mobile crowdsensing

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  • (2024)Poster: Wideband Cellular Sensing for Real-time, Sustainable Geo-localization TagsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699382(811-813)Online publication date: 4-Nov-2024
  • (2024)LiTEfoot: Ultra-low-power Localization using Ambient Cellular SignalsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699356(535-548)Online publication date: 4-Nov-2024

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