Title :
Intelligent traffic recommender system
Author :
Seric, Ljiljana ; Jukic, Mila ; Braovic, Maja
Author_Institution :
Dept. for Modeling & Intell. Syst., Univ. of Split, Split, Croatia
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;
Conference_Titel :
Information & Communication Technology Electronics & Microelectronics (MIPRO), 2013 36th International Convention on
Conference_Location :
Opatija
Print_ISBN :
978-953-233-076-2
