Experience Paper: Nationwide Human Behavior Sensing in Last-mile Delivery
Authors: Zhiqing Hong, Weibing Wang, Anlan Yu, SHUXIN ZHONG, Haotian Wang, Yi Ding, Tian He, Desheng Zhang
Abstract
Human behavior sensing has been receiving growing attention from both academia and industry in recent years. We report - to the best of our knowledge - the first AI-driven nationwide human behavior sensing system called SMILE in urban last-mile delivery. SMILE detects real-time human behaviors with self-supervised sensor data pretraining and uploads detection results to cloud servers with mobile networks. During its full deployment phase at JD Logistics, SMILE is deployed on over 500,000 mobile devices carried by over 300,000 delivery couriers who travel more than 10 million KM every day in 366 Chinese cities. SMILE serves the delivery of 7 billion E-commerce orders every year for more than 500 million customers. SMILE detects walking, upstairs, downstairs, still, and driving behaviors. SMILE has been fully deployed at JD Logistics to support two real-world applications that benefit both the delivery couriers and the logistics platform: (1) workload measurement to improve couriers' welfare; (2) large-scale delivery map data generation to improve the logistics delivery efficiency.