Abstract
Nowadays, most traditional industries are facing great challenges, and so is the traditional bus industry. To design or renew a route in a metropolis cost our government a considerable amount of money, and human resource as well. Effective as it might be when being put into use, an increasing volume of data is still being neglected. In our research, we apply multi-source data analysis technique to the traditional bus system. By analyzing the orient-destination flow, routes can be designed or changed based on our algorithm, thus reducing the expenses.
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Huang, Y., Huang, S., Wang, C., Kang, D., Huang, W. (2015). Research on the Intelligent Public Transportation System. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_80
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DOI: https://doi.org/10.1007/978-3-319-25417-3_80
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