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- W638051776 abstract "In Taiwan, freeway traffic is often congested during peak hours and during seasonal holiday periods. For deploying Advanced Traveler Information System (ATIS), the prediction of travel time is essential. There are many various methods that have been created to predict the travel time in the past. However, most of them are too complex. In this paper, a model using the Grey forecasting theory is adopted with views to its data needed get prediction results within short term. The predicted result is good, especially for the travel time changed in short term. Furthermore, the improvement for overcoming the shortcomings by using simple Grey model is also conducted to reduce travel time fluctuation impact and then to enhance the prediction accuracy. The results implicate that these methods can help to improve the prediction accuracy. A revised method of Grey travel time prediction model is then developed." @default.
- W638051776 created "2016-06-24" @default.
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- W638051776 date "2008-01-01" @default.
- W638051776 modified "2023-09-23" @default.
- W638051776 title "Travel Time Prediction Using Grey Model" @default.
- W638051776 hasPublicationYear "2008" @default.
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