TY - GEN
T1 - A dynamic model for acceleration behaviour description in congested traffic
AU - Celikoglu, Hilmi Berk
AU - Dell'Orco, Mauro
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/60749107868
U2 - 10.1109/ITSC.2008.4732521
DO - 10.1109/ITSC.2008.4732521
M3 - Conference contribution
AN - SCOPUS:60749107868
SN - 9781424421121
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 986
EP - 991
BT - Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008
Y2 - 12 October 2008 through 15 October 2008
ER -