Product demand estimation for vending machines using video surveillance data: A group-lasso method

Author:

Ding Xiaohui,Chen Caihua,Li Chongshou,Lim Andrew

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

Transportation,Business and International Management,Civil and Structural Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Technology-driven logistics and supply chain management for societal impacts;Transportation Research Part E: Logistics and Transportation Review;2024-05

2. Survival-Based Feature Extraction—Application in Supply Management for Dispersed Vending Machines;IEEE Transactions on Industrial Informatics;2023-03

3. Recovering Real Demand for Free-Floating Bike-Sharing System Considering Demand Truncation, Migration, and Spatial Correlation;IEEE Transactions on Intelligent Transportation Systems;2023

4. Data-driven optimization: A flexible route pricing method for Non-Truck Operating Common Carriers;Transportation Research Part E: Logistics and Transportation Review;2022-05

5. Data-Driven Resilient Supply Management Supported by Demand Forecasting;Recent Challenges in Intelligent Information and Database Systems;2022

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