Title :
Development of road traffic flow model for nighttime conditions
Author :
Ouessai, Asmaa ; Keche, Mokhtar
Author_Institution :
Dept. of Electron., Univ. of Sci. & Technol. USTO-MB, Oran, Algeria
Abstract :
Nighttime traffic flow congestion estimation is a challenging problem, the use of a model for describing the traffic parameters is a good solutions but it is necessary to have an accurate information about the traffic´s state before constructing the model. In this paper we propose a new method for developing a road traffic flow model in this challenging situation using accurately measured traffic parameters.
Keywords :
road traffic; nighttime condition; nighttime traffic flow congestion estimation; road traffic flow model; traffic parameter; Accuracy; Analytical models; Data models; Estimation; Fitting; Mathematical model; Roads; night traffic flow; road congestion; traffic model;
Conference_Titel :
Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
Conference_Location :
Tlemcen
DOI :
10.1109/CEIT.2015.7233107