ALWAES
Open Access
- 9 September 2021
- journal article
- research article
- Published by Association for Computing Machinery (ACM) in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
- Vol. 5 (3), 1-24
- https://doi.org/10.1145/3478081
Abstract
For an online delivery platform, accurate physical locations of merchants are essential for delivery scheduling. It is challenging to maintain tens of thousands of merchant locations accurately because of potential errors introduced by merchants for profits (e.g., potential fraud). In practice, a platform periodically sends a dedicated crew to survey limited locations due to high workforce costs, leaving many potential location errors. In this paper, we design and implement ALWAES, a system that automatically identifies and corrects location errors based on fundamental tradeoffs of five measurement strategies from manual, physical, and virtual data collection infrastructures for online delivery platforms. ALWAES explores delivery data already collected by platform infrastructures to measure the travel time of couriers between merchants and verify all merchants' locations by cross-validation automatically. We explore tradeoffs between performance and cost of different measurement approaches. By comparing with the manually-collected ground truth, the experimental results show that ALWAES outperforms three other baselines by 32.2%, 41.8%, and 47.2%, respectively. More importantly, ALWAES saves 3,846 hours of the delivery time of 35,005 orders in a month and finds new erroneous locations that initially were not in the ground truth but are verified by our field study later, accounting for 3% of all merchants with erroneous locations.Keywords
Funding Information
- National Natural Science Foundation of China (61925202, 61772046)
This publication has 43 references indexed in Scilit:
- SmartRoadACM Transactions on Sensor Networks, 2015
- Trajectory Data MiningACM Transactions on Intelligent Systems and Technology, 2015
- Crowds on Wall StreetPublished by Association for Computing Machinery (ACM) ,2015
- IODetectorACM Transactions on Sensor Networks, 2014
- Persistence based online signal and trajectory simplification for mobile devicesPublished by Association for Computing Machinery (ACM) ,2014
- A POI data update approach based on Weibo check-in dataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Increasing cheat robustness of crowdsourcing tasksInformation Retrieval Journal, 2012
- Autonomous Construction of a WiFi Access Point Map Using Multidimensional ScalingLecture Notes in Computer Science, 2011
- An introduction to ROC analysisPattern Recognition Letters, 2005
- BIRCHPublished by Association for Computing Machinery (ACM) ,1996