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Calvert, S.C. (author), Snelder, M. (author), Bakri, T. (author), Heijligers, B. (author), Knoop, V.L. (author)
Heavily used urban networks remain a challenge for travel time prediction because traffic flow is rarely homogeneous and is also subject to a wide variety of disturbances. Various models, some of which use traffic flow theory and some of which are data driven, have been developed to predict traffic flow and travel times. Many of these perform...
article 2015
document
van Stralen, W.J.H. (author), Calvert, S.C. (author), Molin, E.J.E. (author)
Weather conditions are widely acknowledged to contribute to the occurrence of congestion on motorway traffic by influencing both traffic supply and traffic demand. To the best of our knowledge, this is the first paper that explicitly integrates supply and demand effects in predicting the influence of adverse weather conditions on the probability...
article 2015