In this paper we attempt to understand how policy interventions could improve the fuel economy of drivers without changing the vehicles they drive or the trips they take. To do this, we use high-resolution driving data to document the large variation in actual on-road fuel economy achieved by drivers of identical vehicles. We analyze this variation using a model that links driver behavior to ve...

Fuel Cells are electrochemical devices that convert the chemical energy of a gaseous fuel directly into electricity. They are widely regarded as a potential future stationary and mobile power source. The response of a fuel cell system depends on the air and hydrogen feed, flow and pressure regulation, and heat and water management. In this paper, we develop a dynamic model suitable for the cont...

Recommender systems have become widely used for providing personalized product, media and travel information. Our goal is to apply them in automotive scenarios by recommending Points-Of-Interest (POI) such as fuel stations, restaurants or parking places. Furthermore, driver distraction caused by user interaction is a problem in automotive scenarios. We aim to reduce interaction by providing rec...

This paper deals with the multicomponent nature of gas turbine fuels under high-pressure conditions. The study is motivated by the consideration that the droplet submodels that are currently employed in spray codes for predicting gas turbine combustor flows do not adequately incorporate the multicomponent fuel and high-pressure effects. The quasisteady multicomponent droplet model has been empl...

Ecological models of behaviour are typically based on the assumption that decisions can be evaluated with a single resource currency. Here we present models that predict the tactics of consumers collecting two nutritionally distinct resources: fuel that is used for activity and food used for growth (F4G). Both models assume that foragers seek to maximize F4G gain subject to collecting enough fu...

to simulate a new economical architecture for pem fuel cell and investigate the effectiveness of the introduced structure on the performance, computational fluid dynamics (cfd) code is used to solve the equations for a single domain of the cell namely: the flow field, the mass conservation, the energy conservation, the species transport, and the electric/ionic fields under the assumptions of st...

in this study, several artificial neural networks (anns) were developed to estimate seed and grain corn yields in parsabad moghan, iran. the data was collected by a face-to-face interview method from 144 corn farms during 2011. the energy ratios for seed and grain corns were calculated as 0.89 and 2.65, respectively. several multilayer perceptron anns with six neurons in the input layer and one...

An electrochemical analysis on a single channel PEM fuel cell was carried out by Computational Fuel Cell Dynamics (CFCD). The objective was to assess the latest developments regarding the effects of change in the current collector materials, porosity of electrodes and gas diffusion layer on the fuel cell power density. Graphite, as the most applicable current collector material, was applied fol...

short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both inter- and intra-urban highways. the strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. this paper establishes the applicatio...