Distributed MPC for Large Freeway Networks Using Alternating Optimization

The Model Predictive Control (MPC) framework has shown great potential for the control of Variable Speed Limits (VSLs) and Ramp Metering (RM) installations. However, the implementation to large freeway networks remains challenging. One major reason is that, by considering the VSLs to be discrete decision variables, an extremely difficult Mixed...

Efficient freeway MPC by parameterization of ALINEA and a speed-limited area

Freeway congestion can reduce the freeway throughput due to the capacity drop or due to blocking caused by spillback to upstream ramps. Research has shown that congestion can be reduced by the application of ramp metering and variable speed limits. Model predictive control is a promising strategy for the optimization of the ramp metering...

Ramp Metering with Real-Time Estimation of Parameters

Demand exceeding the capacity of a bottleneck will create congestion upstream of that bottleneck. Once this congestion occurs, the maximum flow through this bottleneck decreases (capacity drop). By limiting the flow towards the bottleneck, one can prevent or postpone the capacity drop and the accompanying congestion. In case the bottleneck is...

Integrated Approach to Variable Speed Limits and Ramp Metering

Traffic congestion continues to remain a serious problem in most countries, with significant economic and environmental losses. ‘Intelligent Transport Systems (ITS)’ that utilize advanced information and communication technology for managing road infrastructure, including vehicles and users, have shown great potential in dealing with this...

Model Predictive Control for Integrating Traffic Control Measures

Dynamic traffic control measures, such as ramp metering and dynamic speed limits, can be used to better utilize the available road capacity. Due to the increasing traffic volumes and the increasing number of traffic jams the interaction between the control measures has increased such that local control measures are often not sufficient anymore....