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- W2526320171 abstract "The aim of this research was to find the relations among traffic volume, travel speed, and road connectivity in order to predict the traffic congestion. The result showed that when a road has higher connectivity, the travel speed goes lower. Therefore, it was assumed that the congestion on the target area should be affected by high connectivity. The visualization of this prediction would significantly affect the urban planning that is related with the stakeholders of different kind." @default.
- W2526320171 created "2016-10-07" @default.
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- W2526320171 date "2016-01-01" @default.
- W2526320171 modified "2023-09-27" @default.
- W2526320171 title "Prediction System for Decision-Making to Improve the Road Environment" @default.
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- W2526320171 doi "https://doi.org/10.1007/978-3-319-46771-9_40" @default.
- W2526320171 hasPublicationYear "2016" @default.
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