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Optimal coordination of variable speed limits to suppress shock waves, " Transportation Research Record, Abstract We present a model predictive control (MPC) approach to optimally coordinate variable speed limits for highway traffic. A safety constraint is formulated that prevents drivers from encountering speed limit drops larger than, say, 10 km/h, which(More)
A comparison of filter configurations for freeway traffic state estimation, " Abstract— We present a comparison for several filter configurations for freeway traffic state estimation. Since the environmental conditions on a freeway may change over time (e.g., changing weather conditions), parameter estimation is also considered. We compare the performance(More)
We present a model predictive control (MPC) approach to optimally coordinate variable speed limits and ramp metering for highway traffic. The basic idea is that speed limits can increase the range in which ramp metering is useful. The control objective is to minimize the total time that vehicles spend in the network. For the prediction of the evolution of(More)
Model predictive control for optimal coordination of ramp metering and variable speed limits, " Transporta-Abstract: This paper discusses the optimal coordination of variable speed limits and ramp metering in a freeway traffic network, where the objective of the control is to minimize the total time that vehicles spend in the network. Coordinated freeway(More)
This paper formulates the problem of real-time estimation of traffic state in freeway networks by means of particle filtering framework. A particle filter (PF) is developed based on a recently proposed speed-extended cell-transmission model of freeway traffic. The freeway is considered as a network of components representing different freeway stretches(More)
—Large-scale traffic systems require techniques that are able to 1) deal with high amounts of data and heterogenous data coming from different types of sensors, 2) provide robustness in the presence of sparse sensor data, 3) incorporate different models that can deal with various traffic regimes, and 4) cope with multimodal conditional probability density(More)
Integrated traffic control for mixed urban and freeway networks: A model predictive control approach 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(More)
A macro-scopic traffic flow model for integrated control of freeway and urban traffic networks, " Abstract— 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(More)
This thesis has been completed in partial fulfillment of the requirements of the Dutch Institute of Systems and Control (DISC) and the Netherlands Research School on Transport, Infrastructure and Logistics (TRAIL) for graduate studies. It is allowed to copy and distribute this work if it is attributed to Solomon Kidane Zegeye, but only for noncommercial(More)
" Integrated model predictive control of dynamic route guidance information systems and ramp metering, " Abstract— We propose an integrated approach for dynamic route guidance and ramp metering control using Model Predictive Control (MPC). The main control objective is to minimize the total time spent in the network by giving accurate travel times as(More)