DocumentCode
633010
Title
Intelligent traffic recommender system
Author
Seric, Ljiljana ; Jukic, Mila ; Braovic, Maja
Author_Institution
Dept. for Modeling & Intell. Syst., Univ. of Split, Split, Croatia
fYear
2013
fDate
20-24 May 2013
Firstpage
1064
Lastpage
1068
Abstract
In this paper we present our solution of using ICT and ubiquitous computing with the goal of reducing traffic congestion during the peek hours. The solution is in presenting intelligent recommender system that is based on the combination of several machine learning techniques used for traffic density estimation, and recommending the optimal period for accessing the crossroad. We describe the design and implementation of that system, and also perform a simulation that shows its usefulness.
Keywords
automated highways; learning (artificial intelligence); recommender systems; traffic engineering computing; ubiquitous computing; ICT; intelligent traffic recommender system; machine learning techniques; optimal period recommendation; traffic congestion; traffic density estimation; ubiquitous computing; Bayes methods; Decision trees; Mathematical model; Radar; Recommender systems; Roads; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Information & Communication Technology Electronics & Microelectronics (MIPRO), 2013 36th International Convention on
Conference_Location
Opatija
Print_ISBN
978-953-233-076-2
Type
conf
Filename
6596414
Link To Document