Professional cyclic high mobility: modelling state transitions

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The generation of synthetic populations through simulation methods is an important research topic and has a key application in agent-based modeling of transport and land use. The next step in this research area is the generation of complete synthetic house ...

With urban populations rapidly increasing and millions of deaths being attributed annually to air pollution, there is a critical need for a deeper understanding of urban air quality. The locality of urban emissions sources, and the specific topography of c ...

Additive models are regression methods which model the response variable as the sum of univariate transfer functions of the input variables. Key benefits of additive models are their accuracy and interpretability on many real-world tasks. Additive models a ...

Recurrent congestion during increasingly extended daily peak periods is an escalating phenomenon with multidimensional impact.Congestion mitigation in highways is polarized between invasive infrastructure interventions and Intelligent Transportation System ...

Social and spatial mobility is a key value of late modern societies. Necessity to move is linked to flexibility needs of the labour force and more generally is supposed to be a necessary condition for career success. Consequently, increasing numbers of per ...

The development of stream temperature regression models at regional scales has regained some popularity over the past years. These models are used to predict stream temperature in ungauged catchments to assess the impact of human activities or climate chan ...

Professional cyclic high mobility: modelling state transitions

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Association Generation in Synthetic Population for Transportation Applications: Graph-Theoretic Solution

Mobile Sensor Networks for Air Quality Monitoring in Urban Settings

Structured Dimensionality Reduction for Additive Model Regression

Stochastic Modeling of Lane Distribution and Dynamic Control of Managed Lanes for Highways

High mobility… to have a job ?

Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model