• DocumentCode
    3564178
  • Title

    Road density prediction: Updated methods of turning probabilities and highway capacities manual for achieving the best route

  • Author

    Budiarto, Jian ; Sulistyo, Selo ; Mustika, I. Wayan ; Infantono, Ardian

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Technol., Univ. Gadjah Mada, Yogyakarta, Indonesia
  • fYear
    2014
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    Currently, some information technology applications related to the traffic guidance of metropolitan city could only present the shortest route information, but the road density prediction was not informed. In this research, we proposed the model both to predict the road density and to inform the shortest cycle time of road. The methods of Turning Propobabilities and Highway Capacities Manual were implemented in this proposed model by updating some related formulas in order to predict the road density. The proposed model resulted the new procedure to present the prediction of the road density and suggesting the information of the best route. The model was contributed to solve the problem of distributing vehicles in metropolitan city to overcome the congestion problem.
  • Keywords
    probability; road traffic; vehicle routing; best route; highway capacities manual; metropolitan city; road congestion problem; road density prediction; road shortest cycle time; shortest route information; traffic guidance; turning probabilities; Cities and towns; Equations; Mathematical model; Roads; Turning; Vehicles; Indonesia highway capacity manual; best route; density prediction; turning probabilities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering and Computer Science (ICEECS), 2014 International Conference on
  • Print_ISBN
    978-1-4799-8477-0
  • Type

    conf

  • DOI
    10.1109/ICEECS.2014.7045239
  • Filename
    7045239