Silvia Siri

TL;DR: In this article, a mixed-integer linear programming model has been developed in order to optimally design and operate an energy system in a limited urban area where buildings are equipped with small-size CHP plants and are connected by a heat distribution network; in the proposed model a multiobjective function is optimized, since capital and operating costs, as well as CO2 emissions, are taken into account.

TL;DR: The objective of this paper is the regulation of freeway traffic by means of optimal control techniques, and a multi-class framework is defined in which two classes of vehicles are explicitly modelled, and specific control actions for each vehicle class are sought.

TL;DR: A new freeway traffic control approach based on the Model Predictive Control methodology is defined, which is able to reduce the flow entering the mainstream from the on-ramps so as to enforce traffic regularity.

TL;DR: The DESOD tool as discussed by the authors is based on a mixed-integer linear programming model to optimally design and operate a distributed energy system which provides heating, cooling and electricity to an urban neighborhood.

TL;DR: In this article, a multi-class control scheme for freeway traffic networks is proposed, which combines two control strategies, i.e., ramp metering and route guidance, in order to reduce the total time spent and the total emissions in a balanced way.