Neural network-based sales analysis for freeway service areas: An example with Xiluo Service Area on Freeway No. 1

• Main Authors: Yi-Fu Lin, 林義富
• Other Authors: Yi-Chung Chen
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/k7nca2

碩士 === 國立雲林科技大學 === 工業工程與管理系 === 107 === Advances in big data analytics technologies are prompting more businesses to apply them to commerce, such as store traffic predictions, store revenue predictions, and analysis of strategies to cope with competitors. However, it is difficult for academics to perform such analyses because most businesses do not publicize their revenue or numbers of customers due to operating considerations. To promote academic progress, the government of Taiwan recently released a batch of big data from commercial buildings, including the daily sales of freeway service areas throughout an entire year and the driving records of different types of vehicles on the freeway. We used this dataset to analyze the sales of freeway service areas. Our process included data cleaning, eigenvalue extraction, dimension reduction, classification, and modeling based on neural networks. Finally, we demonstrate the efficacy of the proposed approach with the Xiluo Service Area on Freeway No. 1 as an example.