Dynamically Predicting Corridor Travel Time Under Incident Conditions Using a Neural Network Approach
The artificial neural network (ANN) approach has been recognized as a capable technique to model the highly complex and nonlinear problem of travel time prediction. In addition to the nonlinearity, a traffic system is also temporally and spatially dynamic. Addressing the temporal-spatial relationshi...
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Format: | Others |
Language: | en_US |
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2011
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Online Access: | http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7602 |