DocumentCode
2118460
Title
A Dynamic Model for Acceleration Behaviour Description in Congested Traffic
Author
Celikoglu, Hilmi Berk ; Dell´Orco, Mauro
Author_Institution
Div. of Transp., Tech. Univ. of Istanbul, Istanbul
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
986
Lastpage
991
Abstract
In this paper, a mesoscopic dynamic model is utilized to depict the acceleration behaviour of congested traffic flow by overcoming the speed averaging drawback. The model is developed by both considering the oversaturation phenomenon and improving the computational efficiency on a previously proposed link model. Link exit function formulation, discretisation on time dimension, definition of capacity constraint rules for over-saturated states and uniformly accelerated speed assumption that allows a realistic representation of flow dynamics is made while setting out the model. Computation of link flows is performed regarding the acceleration of vehicles that validates the consistency of flow propagation with speed. In the presence of step-ups and step-downs on speed, adaptation of flow propagation is simultaneous, relative to the time lag defined to discretise time dimension. The iterative structure of the model enables convergence to any target performance criteria with the coded algorithm.
Keywords
acceleration; convergence of numerical methods; iterative methods; road traffic; road vehicles; transportation; acceleration behaviour description; coded algorithm; congested traffic flow; convergence; iterative structure; link exit function formulation; mesoscopic dynamic model; speed averaging drawback; traffic flow propagation model; urban transportation system; vehicle acceleration; Acceleration; Communication system traffic control; Fluid dynamics; Intelligent transportation systems; Microscopy; Predictive models; Telecommunication traffic; Traffic control; Vehicle dynamics; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2111-4
Electronic_ISBN
978-1-4244-2112-1
Type
conf
DOI
10.1109/ITSC.2008.4732521
Filename
4732521
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