Title :
An interval compositional vehicular traffic model for real-time applications
Author :
Gning, Amadou ; Mihaylova, Lyudmila ; Boel, René
Author_Institution :
Dept. of Commun. Syst., Lancaster Univ., Lancaster
Abstract :
This paper proposes an interval approach to vehicular traffic flow modeling. The developed interval compositional model (ICM) provides a natural way of predicting traffic flows without the assumption of uniform distribution of vehicles along the road. The model can be used for real-time prediction of traffic flows and can be part of road traffic surveillance and control systems. The approach is flexible and robust and can be used in real-time applications. Its performance is investigated and validated over real traffic data.
Keywords :
real-time systems; road traffic; road vehicles; surveillance; traffic control; control systems; interval compositional vehicular traffic model; real-time applications; real-time prediction; road traffic surveillance; traffic flow prediction; vehicular traffic flow modeling; Communication system traffic; Communication system traffic control; Intelligent vehicles; Microscopy; Predictive models; Road vehicles; Stochastic processes; Telecommunication traffic; Traffic control; Vehicle safety;
Conference_Titel :
Intelligent Vehicles Symposium, 2008 IEEE
Conference_Location :
Eindhoven
Print_ISBN :
978-1-4244-2568-6
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2008.4621274