Real-time Traffic Prediction Under Exogenous Factors

Traffic congestion is an escalating phenomenon with multidimensional impact. The proposed research stands in the hypothesis that a traffic forecasting method, acknowledging several exogenous parameters for a more plausible representation of traffic evolution, with the implementation of corresponding ATM strategies, could restrain or prevent network’s performance deterioration.


Directeur(s):
Dumont, André-Gilles
Présenté à:
Journée Technique, Lausanne, Switzerland, November 22, 2011
Année
2011
Mots-clefs:
Laboratoires:




 Notice créée le 2012-09-03, modifiée le 2018-09-13


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