Monique van den Berg

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We consider coordinated traffic control for networks consisting of both urban roads and freeways. One of the main problems that has to be addressed when designing traffic control strategies for such networks is that we should prevent a shift of problems from the urban network to the freeway network (or vice versa) due to the applied control strategy. First,(More)
We develop a macroscopic model for mixed urban and freeway traffic networks that is particularly suited for control purposes. In particular, we use an extended version of the METANET traffic flow model to describe the evolution of the traffic flows in the freeway part of the network. For the urban network we propose a new model that is based on the Kashani(More)
We develop a control method for networks containing both urban roads and freeways. These two road types are closely connected: congestion on the freeway often causes spill-back leading to urban queues, slowing down the urban traffic, and vice versa. As a consequence, control measures taken in one of the two areas can have a significant influence on the(More)
Currently used traffic control measures, such as traffic signals, variable speed limits, ramp metering installations etc., are often not designed to influence the route choice of drivers. However, traffic control measures do influence the travel times that are experienced in the network. Since route choice is, at least for a part, based on experienced(More)
Traffic control measures like variable speed limits or outflow control can be used to influence the route choice of drivers. In this paper we develop a day-to-day route choice control method that is based on model predictive control (MPC). A basic route choice model forms the basis for the controller. We show that for the given model and for a linear cost(More)
To control the traffic flows near on-ramps and off-ramps, ramp metering installations can be used. We compare on-ramp metering and off-ramp metering, with respect to queue forming and total time spent. Both control measures are used to improve traffic flow on freeways, and both have influence on the route choice of the drivers. Although the two measures are(More)
We develop a day-to-day route choice control method that is based on model predictive control (MPC). To influence the route choice of drivers we propose to use traffic control measures like variable speed limits or outflow control. In previous papers we have developed MPC for route choice control in the case of a constant demand. In this paper we consider(More)
We develop a day-to-day route choice control method that is based on model predictive control (MPC). For the route choice we assume that drivers base their decision on the experienced travel times. These travel times can be influenced via existing control measures, e.g. outflow limits or variable speed limits. This allows us to indirectly influence the(More)
When there are different routes from origin to destination in a network, the traffic divides itself over these routes. The resulting assignment is often determined by the travel times on the different routes. When control measures are implemented the travel times for some routes change, which can lead to a change in the assignment. This change in assignment(More)