Solomon Kidane Zegeye

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Model-based traffic control for balanced reduction of fuel consumption, emissions, and travel time, " Pro-Abstract: In this paper we integrate the macroscopic traffic flow model METANET with the microscopic dynamic emission and fuel consumption model VT-Micro. We use the integrated models in the model predictive control (MPC) framework to reduce exhaust(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)
Reduction of travel times and traffic emissions using model predictive control, " Abstract— In this paper we present a model-based traffic flow control approach to improve both traffic flow and emissions in a traffic network. A model predictive control (MPC) is implemented using a microscopic car-following traffic flow model and an average-speed-based(More)
based traffic control for the reduction of fuel consumption, emissions, and travel time, " Proceedings of mobil. Abstract In this paper we use a model-based traffic control approach to determine dynamic speed limits with the aim of reducing fuel consumption and emissions, while still guaranteeing small travel times. The approach we propose is based on model(More)
In this paper a model-based traffic control is used to design variable speed limits and on-ramp metering rates in order to reduce road traffic generated area-wide emissions near freeways. First an area-wide emission model is proposed and next a nonlinear model predictive control (MPC) approach is applied. The objectives of the MPC controller considered are(More)
— Although traffic congestion is a pressing problem that drivers face every day, improving the traffic flow does not always create a healthy environment to the people residing in the neighborhood of the freeway. Improved traffic flow neither means efficient fuel consumption of the vehicles. Moreover, reduction of total emissions or travel times in a traffic(More)
Road traffic networks are increasingly being equipped and enhanced with various sensing, communication, and control units, resulting in an increased intelligence in the network and offering additional handles for control. In this chapter we discuss some advanced model-based control methods for intelligent traffic networks. In particular, we consider model(More)
Model-based predictive traffic control: A piecewise-affine approach based on METANET, " Abstract: As an alternative to the rather intensive computations when using the nonlinear traffic flow model METANET in a model-based predictive control context, a piecewise-affine (PWA) approximation of the model is proposed. Here, several model equations amongst which(More)