Data Mining for Predicting Travel Demand
| Autor: | Wei, Jia-Mei, 魏佳美 |
|---|---|
| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 With the global population growth and the mature development in traffic transport industry, travel activity had become Indispensable for people. Travel industry can bring the development of global economic directly and indirectly. Accordingly, the forecasting of travel demand is an important issue. There are several methods, including time series and data mining methods that can be used to predict the travel demand by considering multiple factors. This research applies serval data mining algorithms to predict the travel demand by considering the factors, including “Boom score”, “exchange rate”, “total population”, “seasonal ratio”. The experiment result shows that the neuro network approach can achieve the best performance. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
|