Feedback and iterative routing strategies for freeway networks

Author(s):  
Yibing Wang ◽  
M. Papageorgiou ◽  
A. Messmer
Keyword(s):  
2016 ◽  
Vol 40 (3) ◽  
pp. 843-852 ◽  
Author(s):  
Minghui Ma ◽  
Shidong Liang

Traffic congestion is a common problem in merging regions of freeway networks. An adaptive integrated control method involving variable speed limits and ramp metering is presented with the aim of easing traffic congestion at merging regions. The problem of the imbalanced rights of ways of the upstream mainline and on-ramp at the merging region is solved by constructing the evaluation indices of congestion degree. Specifically, the traffic density and queue length of the upstream mainline and on-ramp are selected for use in the evaluation indices. Then, an adaptive controller is designed, integrating variable speed limits and ramp metering. The proposed method is tested in simulations considering a real freeway network in China calibrated by real traffic variables. The results show that the proposed adaptive integrated control method can prevent traffic flow breakdown and maintain a high outflow at the merging region during peak periods. The adaptive integrated control may lead to a 17% improvement in traffic delay.


2019 ◽  
Vol 83 ◽  
pp. 37-45 ◽  
Author(s):  
Young Jo ◽  
Jungin Kim ◽  
Cheol Oh ◽  
Ikki Kim ◽  
Gunwoo Lee

Author(s):  
A. Hegyi ◽  
B. De Schutter ◽  
J. Hellendoorn

Optimally coordinated freeway traffic control for networks containing bottlenecks with capacity drop and hysteresis behavior is considered. Because of the multitude of traffic jams and the spatial and temporal relationships between control actions and traffic behavior, this problem is not as straightforward as that for local control. The order in which the measures are applied may be relevant, or it may be possible that not all jams can be resolved. In that case the best possible locations of jams should be determined. An approach to address these problems is developed in which a generalized representation of flow-limiting control measures and bottlenecks is used. Whether a certain set of control measures is sufficient to improve network performance is determined. The approach also supplies the necessary sequence of control actions and the necessary relocation of traffic jams to achieve the network state corresponding to the best achievable performance.


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