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