1,721,010 research outputs found
A decentralized optimal control scheme for route guidance in urban road networks
No full textA feedback decentralized optimal approach for traffic control in urban networks is developed. The control structure is based on the minimization of an objective function corresponding to the difference among the travel times from each origin node to all the possible destination through the available route on the network. The problem solution is provided on a temporal horizon not specified and, generally, each whenever a stochastic event changes the demand function or the infrastructures supply. The adopted methodology foresees the use of three different algorithmic structures; the first one is able to define the dynamics of the transportation system, and has gotten with a macro model of traffic simulation; the seconds is used for esteeming the travel times on the links, using Gallager's algorithm (1977), and the third defines the resolution of a linear problem of optimization subject to nonlinear constrains
The role of images in the dematerialisation of design presentations during pandemics
No full textThe Spring 2020 lockdown has forced a dematerialisation of project outcomes in the design schools’ university education processes. Final events, to which, in the past, the narrative function of the project was delegated, were redesigned. In this dematerialisation, the image role has changed: from the ancillary role accompanying the physical model to becoming the true and only protagonist of the project narrative.
The case study chosen is the 11th edition of the Master in Transportation & Automobile Design at the Politecnico di Milano, which ended in July 2020. The exhibition of the thesis projects was transformed into an international online event. The narration of the projects involved the construction of a presentation centred on videos and images.
The time available to the students to present their projects was shorter than usual due to the constraints of an online event, making it necessary to do much work to prepare the iconographic material and directorial. As the quality of the images and videos had to be high, training courses, not initially foreseen, were introduced to help students achieve the new objective. The material produced was also used to create a virtual exhibition on the master's website.
The experience gained in the emergency caused by the pandemic will be helpful in the future, especially at the end of the twelfth edition of the master's course (July 2021), given the continuing uncertainty of the scenarios in which we operate because making images the narrative focus will allow greater adaptability to rapidly changing situations
Development and application of a system for dynamic wildfire risk assessment in Italy
No full textIn this paper, the architecture and the application of a system designed for the assessment of the distribution of dynamic wildland fire risk
over the whole Italian territory are presented. Such an assessment takes place on the basis of static information concerning the vegetation cover
and the topography of the territory and of dynamic information consisting of the meteorological forecast, over a certain time horizon, provided
by a Limited Area Model. The risk distribution assessment is obtained through the use of two different models, namely the fuel moisture model
and the potential fire spread model, which are applied, at each time interval, for each of the cells in which the area of study is discretized. In this
paper, the structure of such models is presented in detail, and similarities and differences with respect to other existing models are discussed. As
the performance of the overall system is heavily dependent on the choice of the values of the parameters appearing in such models, a careful calibration of such parameters is needed. In this respect, the results provided by a preliminary calibration are presented, carried out with the objective of maximizing the accordance between the outputs of the presented risk assessment system and the information relevant to really
occurred fires
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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