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
Link To Document :
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